{
  "results": [
    {
      "id": "eec41bd83dcd6353222f7b39e8ca828f",
      "title": "Senior Software Engineer",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "GB Remote United Kingdom",
      "country": "GB",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/8b41454a-1025-418b-b7eb-642dd8408219",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer GB Remote United Kingdom We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. WHAT YOU WILL DO: - Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization - Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus - As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product - You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.07eca610d5f4eb87b0",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "eec41bd83dcd6353222f7b39e8ca828f",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer GB Remote United Kingdom We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Confluent Cloud Platform based on Apache Kafka is the leading Cloud Native Platform as a Service for streaming data infrastructure, but this is just the beginning. We are building a PaaS enabling customer around the globe to deliver streaming applications. WHAT YOU WILL DO: - Design, implement and maintain Golang infrastructure services (typically implemented as Kubernetes operators) to deliver the Confluent cloud foundations to the wider engineering organization - Terraform, Datadog, Prometheus and a strong command of Linux, public cloud and networking should come as standard - though Golang software engineering will be your primary focus - As a Confluent Cloud Infrastructure Software Engineer, you will be working alongside the rest of the Confluent engineers to build our PaaS product - You, and the rest of the team, will be responsible for the availability, performance, monitoring, emergency response, and capacity",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:eec41bd83dcd6353222f7b39e8ca828f:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.fb816f3c90c8563516",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "eec41bd83dcd6353222f7b39e8ca828f",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:eec41bd83dcd6353222f7b39e8ca828f:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.12c8a5952846af5646",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "eec41bd83dcd6353222f7b39e8ca828f",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:54d51388e7142069087a959e",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.22ee640b6d5f9f8cef",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "eec41bd83dcd6353222f7b39e8ca828f",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0ac137042628ee1ce8a992b8717740b0",
      "title": "Staff Product Manager, Confluent Cloud Kafka",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, Ontario, Canada | Remote | Remote, British Columbia, Canada",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/2966b333-863b-4620-b0f5-220fafe76958",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Product Manager, Confluent Cloud Kafka Remote, Ontario, Canada | Remote | Remote, British Columbia, Canada We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Product Manager in the Cloud Kafka team at Confluent, you'll contribute to the mission of building the world's best event streaming platform. We are seeking an experienced and strategic Product Manager to lead the vision, strategy, and execution for our Kafka Operator experience. This role is critical to simplifying the deployment, management, and scaling of Confluent Cloud Kafka environments for our enterprise customers. The ideal candidate has a strong technical background in cloud systems, familiarity with the Apache Kafka ecosystem, and a proven track record of delivering successful developer and operator-focused products. Key responsibilities include defining and owning the product strategy and vision for the Cloud Kafka Operator, conducting market research and competitive analysis, translating strategic objectives into comprehensive product and user experience requirements, collaborating with Engineering, UX/UI Design,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e5ea7a3e4d17fbea29",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0ac137042628ee1ce8a992b8717740b0",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Manager, Confluent Cloud Kafka Remote, Ontario, Canada | Remote | Remote, British Columbia, Canada We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Product Manager in the Cloud Kafka team at Confluent, you'll contribute to the mission of building the world's best event streaming platform. We are seeking an experienced and strategic Product Manager to lead the vision, strategy, and execution for our Kafka Operator experience. This role is critical to simplifying the deployment, management, and scaling of Confluent Cloud Kafka environments for our enterprise customers. The ideal candidate has a strong technical background in cloud systems, familiarity with the Apache Kafka ecosystem, and a proven track record of delivering successful developer and operator-focused products. Key responsibilities include defining and owning the product strategy and vision for the Cloud Kafka Operator, conducting market research and competitive analysis, translating strategic objectives into comprehensive product and user experience requirements, collaborating with Engineering, UX/UI Design,",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0ac137042628ee1ce8a992b8717740b0:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.1e33ef08feca9ae2d4",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0ac137042628ee1ce8a992b8717740b0",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0ac137042628ee1ce8a992b8717740b0:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.da19d4693412c443ab",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0ac137042628ee1ce8a992b8717740b0",
          "signal_type": "query_match",
          "display_text": "Title: \"confluent\"",
          "tooltip": "Title matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Staff Product Manager, Confluent Cloud Kafka",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0ac137042628ee1ce8a992b8717740b0:title:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.76f2f8990cb6a5d989",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0ac137042628ee1ce8a992b8717740b0",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Staff Product Manager, Confluent Cloud Kafka",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:fa021b4a134b8c493c991887",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.d767f35e84099ce1b5",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0ac137042628ee1ce8a992b8717740b0",
          "signal_type": "query_match",
          "display_text": "Title: \"confluent\"",
          "tooltip": "Title contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Staff Product Manager, Confluent Cloud Kafka",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "701451491c682b524d4592e3a9e24629",
      "title": "Staff Software Engineer",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/8606dc2b-3ad7-4423-9cbb-c7e6df0a1ae5",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust control plane for the Flink product, leveraging advanced database storage to ensure high reliability and efficiency. With a vision centered on innovation and excellence, this team is critical to advancing Confluent's Data in Motion initiative and is committed to supplying the industry with solutions that cater to evolving stream processing demands. WHAT YOU WILL DO: - Developing the control plane services that orchestrate Flink job lifecycles (submission, scaling, recovery). Building Kubernetes operators and orchestrators for serverless resource management. Designing APIs for job management, multi-tenancy, and isolation. - Following a holistic development approach you will be responsible for the code quality, test coverage, documentation and maintainability of the components you and your team work on. - Designing Components: You will not only implement aspects of Flink Control Plane but",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a79eeb7b246826afe1",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "701451491c682b524d4592e3a9e24629",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust control plane for the Flink product, leveraging advanced database storage to ensure high reliability and efficiency. With a vision centered on innovation and excellence, this team is critical to advancing Confluent's Data in Motion initiative and is committed to supplying the industry with solutions that cater to evolving stream processing demands. WHAT YOU WILL DO: - Developing the control plane services that orchestrate Flink job lifecycles (submission, scaling, recovery). Building Kubernetes operators and orchestrators for serverless resource management. Designing APIs for job management, multi-tenancy, and isolation. - Following a holistic development approach you will be responsible for the code quality, test coverage, documentation and maintainability of the components you and your team work on. - Designing Components: You will not only implement aspects of Flink Control Plane but",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:701451491c682b524d4592e3a9e24629:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.52f17cc990dd649068",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "701451491c682b524d4592e3a9e24629",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:701451491c682b524d4592e3a9e24629:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.f55c7f37539773f0b7",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "701451491c682b524d4592e3a9e24629",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:fc7e379248e398b131a44a70",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.197b4c95b1120067de",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "701451491c682b524d4592e3a9e24629",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ff944af3e71fbf592ff4d8c67fcb79ca",
      "title": "Staff Software Engineer I - Confluent Platform",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/a93ac05b-0ba3-41a9-aa42-a6258c5c5584",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer I - Confluent Platform IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Confluent Platform (CP) team has steadily expanded its charter since its inception. As a Staff Software Engineer I, you will set the technical direction and drive significant advancements within this continually growing scope. This role sits at the intersection of platform architecture, large-scale distributed systems, and mission-critical customer operations, with influence and impact across the entire Confluent Platform organization. A cornerstone of our strategy is the Unified Stream Manager (USM) hybrid-first offerings. We are developing platform capabilities that provide a consistent, enterprise-grade experience in management, observability, and security across on-prem, cloud, and hybrid environments. You will help architect and deliver these foundational USM capabilities, enabling customers to effortlessly operate, monitor, and secure Confluent Platform deployments across multiple clouds and regions. Your work will directly shape how enterprises run Kafka at scale amid increasingly complex regulatory and operational",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.2f2726fd341fcff849",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "ff944af3e71fbf592ff4d8c67fcb79ca",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer I - Confluent Platform IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Confluent Platform (CP) team has steadily expanded its charter since its inception. As a Staff Software Engineer I, you will set the technical direction and drive significant advancements within this continually growing scope. This role sits at the intersection of platform architecture, large-scale distributed systems, and mission-critical customer operations, with influence and impact across the entire Confluent Platform organization. A cornerstone of our strategy is the Unified Stream Manager (USM) hybrid-first offerings. We are developing platform capabilities that provide a consistent, enterprise-grade experience in management, observability, and security across on-prem, cloud, and hybrid environments. You will help architect and deliver these foundational USM capabilities, enabling customers to effortlessly operate, monitor, and secure Confluent Platform deployments across multiple clouds and regions. Your work will directly shape how enterprises run Kafka at scale amid increasingly complex regulatory and operational",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:ff944af3e71fbf592ff4d8c67fcb79ca:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.df6c7778267b336b79",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "ff944af3e71fbf592ff4d8c67fcb79ca",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:ff944af3e71fbf592ff4d8c67fcb79ca:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.4d9599ee5180b43f41",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "ff944af3e71fbf592ff4d8c67fcb79ca",
          "signal_type": "query_match",
          "display_text": "Title: \"confluent\"",
          "tooltip": "Title matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "title",
          "source_value": "Staff Software Engineer I - Confluent Platform",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:ff944af3e71fbf592ff4d8c67fcb79ca:title:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.title.7657311cdf64a688cb",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "ff944af3e71fbf592ff4d8c67fcb79ca",
          "signal_type": "query_match",
          "display_text": "Title: semantic match",
          "tooltip": "Title provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "title",
          "source_value": "Staff Software Engineer I - Confluent Platform",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:eb32aa97ae66fa2adfd13c69",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.title.70d9e0848e74aa3a3f",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "ff944af3e71fbf592ff4d8c67fcb79ca",
          "signal_type": "query_match",
          "display_text": "Title: \"confluent\"",
          "tooltip": "Title contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "title",
          "source_value": "Staff Software Engineer I - Confluent Platform",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "21f422bd0b5469dc0bca98838c9b3e4a",
      "title": "Staff Software Developer",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "DE Remote Germany",
      "country": "DE",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/ff2464db-7d56-401c-97b0-eda62adb05ea",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Developer DE Remote Germany We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud. This role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities. WHAT YOU WILL DO: - Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine. - Contribute to the broader technical vision and translate it into",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.6d239d5d068181be9b",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "21f422bd0b5469dc0bca98838c9b3e4a",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Developer DE Remote Germany We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Stream Processing & Analytics (SPA) team is building an elastic, reliable, durable, cost-effective, and performant stream processing engine based on Apache Flink for Confluent Cloud. This role is critical in defining and executing the long-term vision around a scalable, efficient, resilient and true cloud native data stream processor, including initiatives enabling autoscaling and limitless state management, ensuring a zero-knob and worry-free experience for our users and customers by providing the right amount of stream processing at any given point in time, allowing customers to focus on building their use case without managing infrastructure complexities. WHAT YOU WILL DO: - Architect and Drive Technical Strategy: Own the architecture and technical strategy for a complex engineering system (e.g., a core component of scheduling, deployment, autoscaling, or state management) within the Flink engine. - Contribute to the broader technical vision and translate it into",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:21f422bd0b5469dc0bca98838c9b3e4a:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ed40fdc3731585fa89",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "21f422bd0b5469dc0bca98838c9b3e4a",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:21f422bd0b5469dc0bca98838c9b3e4a:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.b4f6c4c003d56254ce",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "21f422bd0b5469dc0bca98838c9b3e4a",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:02a0e9eff87fe59d79dfd0df",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.076fef607b54c537f7",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "21f422bd0b5469dc0bca98838c9b3e4a",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6a6b4811261d913cb77377d8e538ec50",
      "title": "Senior Product Manager, Cloud Networking",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote | Remote, California | Remote, New York",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/1946b144-eaa5-482f-b235-63cc06104ecc",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Product Manager, Cloud Networking Remote, United States | Remote | Remote, California | Remote, New York We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent Cloud delivers a complete end-to-end streaming experience via a Software as a Service (SaaS) model. To deliver a simple, understandable, and scalable product experience requires abstracting the complex interactions of underlying cloud infrastructure, networking, storage, and compute powering a stateful distributed system. As a Senior Product Manager on the Cloud Networking Product team, you'll contribute to the mission of making connectivity to and from Confluent Cloud reliable, scalable, secure, cost efficient and simple to use so that users can focus on building streaming applications instead of managing infrastructure. Cloud networking with focus on private networking is an enabler for all services offered on Confluent Cloud and is a strategic investment area for Confluent with the potential to impact the company's top and bottom lines. You'll be responsible for the success",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.85082a846812ff5dda",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "6a6b4811261d913cb77377d8e538ec50",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Product Manager, Cloud Networking Remote, United States | Remote | Remote, California | Remote, New York We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent Cloud delivers a complete end-to-end streaming experience via a Software as a Service (SaaS) model. To deliver a simple, understandable, and scalable product experience requires abstracting the complex interactions of underlying cloud infrastructure, networking, storage, and compute powering a stateful distributed system. As a Senior Product Manager on the Cloud Networking Product team, you'll contribute to the mission of making connectivity to and from Confluent Cloud reliable, scalable, secure, cost efficient and simple to use so that users can focus on building streaming applications instead of managing infrastructure. Cloud networking with focus on private networking is an enabler for all services offered on Confluent Cloud and is a strategic investment area for Confluent with the potential to impact the company's top and bottom lines. You'll be responsible for the success",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:6a6b4811261d913cb77377d8e538ec50:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.734700ca7c18dacb60",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "6a6b4811261d913cb77377d8e538ec50",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:6a6b4811261d913cb77377d8e538ec50:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.cb6654ade57648f711",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "6a6b4811261d913cb77377d8e538ec50",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:9c48d1e49756b3cef5a5b462",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.5fbaaeaff38db8a8f8",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "6a6b4811261d913cb77377d8e538ec50",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7fc0409ef9e67c0097db21829ecee054",
      "title": "Director, IT",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/6833487b-88cd-447b-8629-174696192510",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director, IT Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: At Confluent, every employee's productivity depends on the systems and services this team delivers - from the laptop they unbox on day one, to the identity that gets them into the apps they use every day, to the network and conference rooms that connect a globally distributed company. As Director of IT, you will lead the team responsible for Helpdesk, endpoint and AV experience, enterprise identity, core productivity applications, corporate networking, and corporate cloud infrastructure. You will own both the day-to-day reliability of these services and the longer-term roadmap to modernize and automate them - treating internal employees as customers and IT as a product. This role is for a technical, hands-on leader who thrives on solving real problems for real people, and who can balance operational excellence with the ambition to make IT meaningfully better, faster, and more secure. WHAT",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "director_plus",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.3f608d4d76b9fafd45",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7fc0409ef9e67c0097db21829ecee054",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director, IT Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: At Confluent, every employee's productivity depends on the systems and services this team delivers - from the laptop they unbox on day one, to the identity that gets them into the apps they use every day, to the network and conference rooms that connect a globally distributed company. As Director of IT, you will lead the team responsible for Helpdesk, endpoint and AV experience, enterprise identity, core productivity applications, corporate networking, and corporate cloud infrastructure. You will own both the day-to-day reliability of these services and the longer-term roadmap to modernize and automate them - treating internal employees as customers and IT as a product. This role is for a technical, hands-on leader who thrives on solving real problems for real people, and who can balance operational excellence with the ambition to make IT meaningfully better, faster, and more secure. WHAT",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:7fc0409ef9e67c0097db21829ecee054:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.38a566f3700f92faa9",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7fc0409ef9e67c0097db21829ecee054",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:7fc0409ef9e67c0097db21829ecee054:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.ec602c5fa56d4a23b9",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7fc0409ef9e67c0097db21829ecee054",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:8d3cc877e9e04c6608306025",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0c9640312c39380183",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7fc0409ef9e67c0097db21829ecee054",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "2a1f21d44f3cb989bfa68e1fb5abf0eb",
      "title": "Senior Software Engineer - II",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, India | Remote",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/bdb98661-c475-4914-9b17-b99d03a2d56e",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer - II Remote, India | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Backend engineers at Confluent work on a set of diverse and complex challenges such as building foundational cloud frameworks and services that power all components of the platform in the Cloud. We are building a new multi-tenant, multi-cloud, polyglot, cloud native compute substrate to enable new business opportunities across Confluent Cloud (including Connect, Apache Flink, Kafka and more) . As a senior software engineer, you think strategically and you help drive end-to-end technical delivery from customer experience to scaling internal operations. You are not confined to the status quo and you leverage your expertise in Cloud-native, large-scale distributed systems to help take our platform to the next level. You worry about key operational aspects (availability, reliability, performance, monitoring, emergency response, capacity planning, disaster recovery) of our new Compute Platform, and you make sure that we have a highly-available, resilient",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9a414c34a7a86e7f85",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2a1f21d44f3cb989bfa68e1fb5abf0eb",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer - II Remote, India | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Backend engineers at Confluent work on a set of diverse and complex challenges such as building foundational cloud frameworks and services that power all components of the platform in the Cloud. We are building a new multi-tenant, multi-cloud, polyglot, cloud native compute substrate to enable new business opportunities across Confluent Cloud (including Connect, Apache Flink, Kafka and more) . As a senior software engineer, you think strategically and you help drive end-to-end technical delivery from customer experience to scaling internal operations. You are not confined to the status quo and you leverage your expertise in Cloud-native, large-scale distributed systems to help take our platform to the next level. You worry about key operational aspects (availability, reliability, performance, monitoring, emergency response, capacity planning, disaster recovery) of our new Compute Platform, and you make sure that we have a highly-available, resilient",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:2a1f21d44f3cb989bfa68e1fb5abf0eb:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a3ae34c4f26e5b4874",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2a1f21d44f3cb989bfa68e1fb5abf0eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:2a1f21d44f3cb989bfa68e1fb5abf0eb:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.58fdf4ae962aeca5e5",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2a1f21d44f3cb989bfa68e1fb5abf0eb",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f130c60220c550115a89d600",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.853c994ccc71c0bb7a",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2a1f21d44f3cb989bfa68e1fb5abf0eb",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4c9600ffe7152953983bdaa1797c2564",
      "title": "Staff Product Operations Manager",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/8cab7ed1-8cd5-40d6-befa-0a83ef9308a1",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Product Operations Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are looking for a Staff Product Operations Manager to serve as the product manager for Confluent's Product Development Lifecycle. Our internal processes are the product. Our PMs are the customers. Your job is to own the improvement roadmap, build and ship those improvements, and iterate based on what is and isn't working. You will translate strategy into working workflows, build the tooling and templates that support them, and run the system day-to-day. You are responsible for making the PDLC work, collects feedback, and iterates on improvements. We want someone who has shipped product, can engage with PMs as a credible peer, and brings the discipline of product thinking to the challenge of how a world-class PM organization operates. WHAT YOU WILL DO: - Build the AI-Driven PDLC Take the vision for a modernized, AI-integrated Product Development Lifecycle and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.43ddfccd33891b6404",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4c9600ffe7152953983bdaa1797c2564",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Operations Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are looking for a Staff Product Operations Manager to serve as the product manager for Confluent's Product Development Lifecycle. Our internal processes are the product. Our PMs are the customers. Your job is to own the improvement roadmap, build and ship those improvements, and iterate based on what is and isn't working. You will translate strategy into working workflows, build the tooling and templates that support them, and run the system day-to-day. You are responsible for making the PDLC work, collects feedback, and iterates on improvements. We want someone who has shipped product, can engage with PMs as a credible peer, and brings the discipline of product thinking to the challenge of how a world-class PM organization operates. WHAT YOU WILL DO: - Build the AI-Driven PDLC Take the vision for a modernized, AI-integrated Product Development Lifecycle and",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:4c9600ffe7152953983bdaa1797c2564:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e5ab98d9efae56c781",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4c9600ffe7152953983bdaa1797c2564",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:4c9600ffe7152953983bdaa1797c2564:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.bfaea4533c8f2913b9",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4c9600ffe7152953983bdaa1797c2564",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:d3af30a2b642f0f5bcb44bb1",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b58fd22eb7ff81a072",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4c9600ffe7152953983bdaa1797c2564",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e9a222e3c0459e05ff2311933e34c9b3",
      "title": "Senior Product Manager, Developer Experience",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/69b37f70-0978-472e-86a9-2d19ba70820f",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Product Manager, Developer Experience Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a product manager on the Platform team, you will be responsible for empowering developers and operators of all Confluent customers to automate their operations by evolving Confluent's API platform and making it AI-ready. You will own and drive the vision and strategy for the API platform. You think like a developer, are familiar with LLMs programmatic interactions and know how to deliver the most AI-powered, developer-friendly API, CLI, Terraform interfaces in the industry. You are also able to think about the developer & data scientist journeys end-to-end and unblock them across their jobs & interfaces. WHAT YOU WILL DO: - Understand our users: Collect customers' feedback, conduct interviews and analyze data to define user journeys, and key jobs to be done for developers, operators, and data scientists. - Drive the API Platform Strategy & Roadmap to drastically",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ebec3899a95b378b2e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e9a222e3c0459e05ff2311933e34c9b3",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Product Manager, Developer Experience Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a product manager on the Platform team, you will be responsible for empowering developers and operators of all Confluent customers to automate their operations by evolving Confluent's API platform and making it AI-ready. You will own and drive the vision and strategy for the API platform. You think like a developer, are familiar with LLMs programmatic interactions and know how to deliver the most AI-powered, developer-friendly API, CLI, Terraform interfaces in the industry. You are also able to think about the developer & data scientist journeys end-to-end and unblock them across their jobs & interfaces. WHAT YOU WILL DO: - Understand our users: Collect customers' feedback, conduct interviews and analyze data to define user journeys, and key jobs to be done for developers, operators, and data scientists. - Drive the API Platform Strategy & Roadmap to drastically",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:e9a222e3c0459e05ff2311933e34c9b3:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.74501a22cb8dda66ac",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e9a222e3c0459e05ff2311933e34c9b3",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:e9a222e3c0459e05ff2311933e34c9b3:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.1e1e7953ec7095a3bf",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e9a222e3c0459e05ff2311933e34c9b3",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:e9f5d123442d1dbb353a85ee",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7e177b57906be2996b",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e9a222e3c0459e05ff2311933e34c9b3",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0a2bd4f82de982dfeadb2ae01f2f7f41",
      "title": "Staff Product Manager, Cloud Networking",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/e70deb8a-3308-49dd-b9c7-b537333c5645",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Product Manager, Cloud Networking Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. WHAT YOU WILL DO: -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.76801d044fd93cfb79",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0a2bd4f82de982dfeadb2ae01f2f7f41",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Manager, Cloud Networking Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. WHAT YOU WILL DO: -",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0a2bd4f82de982dfeadb2ae01f2f7f41:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7501b61f2168df1022",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0a2bd4f82de982dfeadb2ae01f2f7f41",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0a2bd4f82de982dfeadb2ae01f2f7f41:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.b40c60156dc60f0f11",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0a2bd4f82de982dfeadb2ae01f2f7f41",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:eef8cb5fc2acac8d2f8a2fe9",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.2d4e5adaf9bea098d3",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0a2bd4f82de982dfeadb2ae01f2f7f41",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "aff87d2b22c632e0b9efb9cecd52d6dd",
      "title": "Pincipal, Product Manager",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/f7356433-e9cd-437b-9048-587b11333bb1",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Pincipal, Product Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: This Principal Product Manager role is a high-leverage Individual Contributor position responsible for the complete product strategy and execution for Apache Flink across Confluent Cloud and Platform. This is an ambiguous and technical domain that requires a seasoned leader who can build durable platform capabilities, translate complex systems into clear strategy, and operate independently. WHAT YOU WILL DO: - Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products. - Establish structured processes to align product, engineering, GTM, and executive stakeholders. - Identify high-leverage, 0-to-1 product opportunities for Flink and in adjacent areas like AI, data engineering, data warehousing, and event-driven applications. - Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. WHAT YOU WILL BRING: - Proven ability to own and deliver product strategy for complex cloud data",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "principal",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4462f677eac8cd2daf",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Pincipal, Product Manager Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: This Principal Product Manager role is a high-leverage Individual Contributor position responsible for the complete product strategy and execution for Apache Flink across Confluent Cloud and Platform. This is an ambiguous and technical domain that requires a seasoned leader who can build durable platform capabilities, translate complex systems into clear strategy, and operate independently. WHAT YOU WILL DO: - Define and drive the multi-year product strategy and roadmap for Apache Flink across cloud and on-prem products. - Establish structured processes to align product, engineering, GTM, and executive stakeholders. - Identify high-leverage, 0-to-1 product opportunities for Flink and in adjacent areas like AI, data engineering, data warehousing, and event-driven applications. - Define how Confluent Flink offerings will work across Confluent and IBM product portfolio. WHAT YOU WILL BRING: - Proven ability to own and deliver product strategy for complex cloud data",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:aff87d2b22c632e0b9efb9cecd52d6dd:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.0797a2180572f0bdfa",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:aff87d2b22c632e0b9efb9cecd52d6dd:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.f8143b43c2bbf3573e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5cd85e35e87f66b8a4b1eb5d",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.eca0981e76b823c4af",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "aff87d2b22c632e0b9efb9cecd52d6dd",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "bd557ff70d476e0fe33d7f1479342664",
      "title": "Senior Product Manager, Cluster Linking",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, Ontario, Canada | Remote | Remote, British Columbia, Canada",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/f60bba87-9470-4238-bf6f-dce1b4da8006",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Product Manager, Cluster Linking Remote, Ontario, Canada | Remote | Remote, British Columbia, Canada We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Cluster Linking is how Kafka clusters are replicated, and it sits at the very core of Confluent. When a global bank architects zero-data-loss disaster recovery, when an enterprise migrates petabytes off open-source Kafka, or when a multinational replicates event streams across three continents, they're running on Cluster Linking. This role will define the future of Cluster Linking: how we deliver seamless disaster recovery for Kafka workloads, how we build self-service migration paths into Confluent Cloud, and how we enable cross-organization data sharing to power real-time, operational data exchanges. Cluster Linking is one of Confluent's fastest-growing platform products and you'll own that growth. Our largest customers depend on it, and because it cuts across Kafka, cloud infrastructure, networking, and security, your work will have visibility and influence across the company. WHAT YOU WILL DO:",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.93f53828127ec7e7b5",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "bd557ff70d476e0fe33d7f1479342664",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Product Manager, Cluster Linking Remote, Ontario, Canada | Remote | Remote, British Columbia, Canada We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Cluster Linking is how Kafka clusters are replicated, and it sits at the very core of Confluent. When a global bank architects zero-data-loss disaster recovery, when an enterprise migrates petabytes off open-source Kafka, or when a multinational replicates event streams across three continents, they're running on Cluster Linking. This role will define the future of Cluster Linking: how we deliver seamless disaster recovery for Kafka workloads, how we build self-service migration paths into Confluent Cloud, and how we enable cross-organization data sharing to power real-time, operational data exchanges. Cluster Linking is one of Confluent's fastest-growing platform products and you'll own that growth. Our largest customers depend on it, and because it cuts across Kafka, cloud infrastructure, networking, and security, your work will have visibility and influence across the company. WHAT YOU WILL DO:",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:bd557ff70d476e0fe33d7f1479342664:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4bbfd89ac4cafb29a2",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "bd557ff70d476e0fe33d7f1479342664",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:bd557ff70d476e0fe33d7f1479342664:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.4b2901cb3a5e28ec02",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "bd557ff70d476e0fe33d7f1479342664",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:b2dc81c7984412b49d34a6aa",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.04ef4d98975eefe215",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "bd557ff70d476e0fe33d7f1479342664",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3869cec79cd3bda70dbcb9102dec3689",
      "title": "Staff Software Engineer I",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Austin, Texas | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/b070fb23-7041-4336-bee9-b8f31204dac4",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer I Austin, Texas | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Infrastructure team at Confluent is responsible for building and operating the foundation that powers Confluent Cloud. Our mission is to design scalable, reliable, and cost-efficient infrastructure to support mission-critical data streaming workloads. Whether it's optimizing cloud networking, improving resource efficiency, or scaling distributed systems, our work directly impacts Confluent's performance, reliability, and business growth. We are looking for engineers with a passion for building and operating large-scale distributed systems in the cloud. This role provides an opportunity to work on complex infrastructure challenges across multiple domains, including storage, networking, compute, and security. WHAT YOU WILL DO: - Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud. - Build foundational software to improve reliability, scalability, and efficiency across cloud environments. - Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation. - Collaborate with",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7d8dcba5039fd591a9",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3869cec79cd3bda70dbcb9102dec3689",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer I Austin, Texas | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Infrastructure team at Confluent is responsible for building and operating the foundation that powers Confluent Cloud. Our mission is to design scalable, reliable, and cost-efficient infrastructure to support mission-critical data streaming workloads. Whether it's optimizing cloud networking, improving resource efficiency, or scaling distributed systems, our work directly impacts Confluent's performance, reliability, and business growth. We are looking for engineers with a passion for building and operating large-scale distributed systems in the cloud. This role provides an opportunity to work on complex infrastructure challenges across multiple domains, including storage, networking, compute, and security. WHAT YOU WILL DO: - Design, develop, and operate large-scale, high-performance infrastructure that powers Confluent Cloud. - Build foundational software to improve reliability, scalability, and efficiency across cloud environments. - Work on distributed systems challenges such as consensus algorithms, failover strategies, and resource allocation. - Collaborate with",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:3869cec79cd3bda70dbcb9102dec3689:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.81fcd64e8c5ad19300",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3869cec79cd3bda70dbcb9102dec3689",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:3869cec79cd3bda70dbcb9102dec3689:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.582daf62efcadce38c",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3869cec79cd3bda70dbcb9102dec3689",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:c680ff8f59a4cf2f6c6b9bd5",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.df310d9d30c43a3f13",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3869cec79cd3bda70dbcb9102dec3689",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "43ff43e17aaa87a26cece81f8f7f1ac5",
      "title": "Head of Product Led Growth Marketing",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/ded86e3c-8dbe-498b-861c-1fe5dfcd1ce3",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Head of Product Led Growth Marketing Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As the Head of Product Led Growth Marketing, you will lead a team that defines and optimizes Confluent's product-led growth strategy from acquisition through high-value customer conversion. You and your team will collaborate across Product, Marketing, Sales, Data Science, and Engineering to optimize signup quality, strengthen funnel conversion, and maximize downstream revenue impact. Your work will include building measurement frameworks, leading experimentation agendas, optimizing digital acquisition channels, including emerging discovery levers such as answer engine optimization (AEO), and translating performance insights into clear investment decisions. You will also design and refine the product-to-sales handoff, ensuring product signals translate into effective sales engagement. This role is critical to scaling product-led acquisition and demonstrating PLG as a durable, efficient growth lever for Confluent. WHAT YOU WILL DO: - Drive growth strategy and optimization: Define and optimize PLG growth strategy",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ddf994579551aad132",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "43ff43e17aaa87a26cece81f8f7f1ac5",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Head of Product Led Growth Marketing Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As the Head of Product Led Growth Marketing, you will lead a team that defines and optimizes Confluent's product-led growth strategy from acquisition through high-value customer conversion. You and your team will collaborate across Product, Marketing, Sales, Data Science, and Engineering to optimize signup quality, strengthen funnel conversion, and maximize downstream revenue impact. Your work will include building measurement frameworks, leading experimentation agendas, optimizing digital acquisition channels, including emerging discovery levers such as answer engine optimization (AEO), and translating performance insights into clear investment decisions. You will also design and refine the product-to-sales handoff, ensuring product signals translate into effective sales engagement. This role is critical to scaling product-led acquisition and demonstrating PLG as a durable, efficient growth lever for Confluent. WHAT YOU WILL DO: - Drive growth strategy and optimization: Define and optimize PLG growth strategy",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:43ff43e17aaa87a26cece81f8f7f1ac5:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.53d9c6a6d8c9ca2ac3",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "43ff43e17aaa87a26cece81f8f7f1ac5",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:43ff43e17aaa87a26cece81f8f7f1ac5:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.e53effa1efd7c8a0b7",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "43ff43e17aaa87a26cece81f8f7f1ac5",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:053e95fd1b9e11dc6f1d2d9c",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.326e0968959fe8e3fc",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "43ff43e17aaa87a26cece81f8f7f1ac5",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "136e2ec982ac747a69866e2e6024d26c",
      "title": "Staff Software Engineer I - Internal Access Management",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/7a2da45b-4a80-4742-bbae-a249368b74f8",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer I - Internal Access Management Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are seeking a Staff Software Engineer to lead the technical vision, architecture, and execution for Internal Access Management at Confluent. This role is central to our trusted compute environment and requires deep expertise in distributed systems, cloud security, authentication, and policy-driven authorization frameworks. As the domain owner, you will define how Confluent enforces least privilege, manages workload identity, governs access boundaries, and ensures secure, auditable authorization across all engineering systems. You will partner with Security, Product, and Engineering to establish a cohesive end-to-end access posture. WHAT YOU WILL DO: - Define and drive the long-term architecture and roadmap for Internal Access Management across Kubernetes and multi-cloud environments. - Architect and implement least privilege, just-in-time access, and zero-trust models across Confluent services. - Build and evolve scalable access-authorization workflows and lifecycle management systems using technologies",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.fd4f01498f0bf9b3fd",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "136e2ec982ac747a69866e2e6024d26c",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer I - Internal Access Management Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are seeking a Staff Software Engineer to lead the technical vision, architecture, and execution for Internal Access Management at Confluent. This role is central to our trusted compute environment and requires deep expertise in distributed systems, cloud security, authentication, and policy-driven authorization frameworks. As the domain owner, you will define how Confluent enforces least privilege, manages workload identity, governs access boundaries, and ensures secure, auditable authorization across all engineering systems. You will partner with Security, Product, and Engineering to establish a cohesive end-to-end access posture. WHAT YOU WILL DO: - Define and drive the long-term architecture and roadmap for Internal Access Management across Kubernetes and multi-cloud environments. - Architect and implement least privilege, just-in-time access, and zero-trust models across Confluent services. - Build and evolve scalable access-authorization workflows and lifecycle management systems using technologies",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:136e2ec982ac747a69866e2e6024d26c:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ff335c4de8b48825cc",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "136e2ec982ac747a69866e2e6024d26c",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:136e2ec982ac747a69866e2e6024d26c:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.c9795044acb28153c2",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "136e2ec982ac747a69866e2e6024d26c",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4a9caeb351bf63112a2e9330",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b316c8e1b49953e57d",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "136e2ec982ac747a69866e2e6024d26c",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "dcb0655b962a3e7dd4b290c6880d5ccd",
      "title": "Staff Security Engineer II",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/7ea0f7ad-2445-4fac-a33c-fbfc164d5181",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Security Engineer II IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Application Security Engineer at Confluent, you will join a team of security architects and engineers responsible for shaping and advancing the application security strategy across our on-premises products and cloud services. In this role, you will go beyond implementation to define the long-term security posture of our ecosystem, spanning high-scale distributed systems, on-prem deployments, and globally operated cloud platforms. You will lead the design and evolution of application security architecture, ensuring security is embedded throughout the product lifecycle-from early design decisions to cloud deployment and ongoing operations. Acting as a strategic partner to Engineering and Product leadership, you will influence architectural direction and proactively mitigate systemic and emerging security risks. This role plays a key part in building and sustaining a strong security culture across Engineering, Product, and the broader organization. You will architect and oversee security automation",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9d4860157886b190ce",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "dcb0655b962a3e7dd4b290c6880d5ccd",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Security Engineer II IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Application Security Engineer at Confluent, you will join a team of security architects and engineers responsible for shaping and advancing the application security strategy across our on-premises products and cloud services. In this role, you will go beyond implementation to define the long-term security posture of our ecosystem, spanning high-scale distributed systems, on-prem deployments, and globally operated cloud platforms. You will lead the design and evolution of application security architecture, ensuring security is embedded throughout the product lifecycle-from early design decisions to cloud deployment and ongoing operations. Acting as a strategic partner to Engineering and Product leadership, you will influence architectural direction and proactively mitigate systemic and emerging security risks. This role plays a key part in building and sustaining a strong security culture across Engineering, Product, and the broader organization. You will architect and oversee security automation",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:dcb0655b962a3e7dd4b290c6880d5ccd:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.723f32a223f5cbde76",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "dcb0655b962a3e7dd4b290c6880d5ccd",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:dcb0655b962a3e7dd4b290c6880d5ccd:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.6f865d6a008fe2bec1",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "dcb0655b962a3e7dd4b290c6880d5ccd",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:517a31933a6ab320f7e8dd02",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a832f0fc2a97c13dcf",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "dcb0655b962a3e7dd4b290c6880d5ccd",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "2eb754be22947a4647fb0cf6087e9ee7",
      "title": "Director II, Engineering",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Palo Alto, California",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/7f758710-e3c4-4eed-b801-65e1fe9827e1",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director II, Engineering Palo Alto, California We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. DIRECTOR II, COMPUTE PLATFORM & UNIFIED DEPLOYMENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world. We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "director_plus",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.cfa31feb568044bdeb",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2eb754be22947a4647fb0cf6087e9ee7",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director II, Engineering Palo Alto, California We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. DIRECTOR II, COMPUTE PLATFORM & UNIFIED DEPLOYMENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business. At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world. We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:2eb754be22947a4647fb0cf6087e9ee7:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7ddfc67524dcf8b216",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2eb754be22947a4647fb0cf6087e9ee7",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:2eb754be22947a4647fb0cf6087e9ee7:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.6895666713914c4b7e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2eb754be22947a4647fb0cf6087e9ee7",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:df4e47b5bf15da606bb79875",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8c5b5adc9d262725a3",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2eb754be22947a4647fb0cf6087e9ee7",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f455920f4d2d2b122e9083f5b8527274",
      "title": "Staff Software Engineer I - Stream Governance",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, Ontario, Canada | Remote",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/2b7f816b-9f5b-4023-b38d-46fd3e117298",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer I - Stream Governance Remote, Ontario, Canada | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Software Engineer, you will be the technical lead for several key initiatives for the Stream Governance product at Confluent. The Stream Governance product portfolio is crucial to bringing Confluent's mission to put event streaming at the heart of every organization and is a core component of the Data Streaming Platform. As part of our Stream Governance offering, you will be responsible for delivering critical functionalities such as Confluent Stream Catalog, Stream Sharing, Stream Lineage and Data Portal. These products enable our customers to search, organize, understand, share and access data in a self-service way. In this role, you will collaborate closely with the team and key stakeholders to design, architect, and develop cloud-native, multi-tenant services for Stream Governance. You will be responsible for guiding the vision, providing technical leadership, mentoring, and enabling a",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ab34b0f9ac0d297dda",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f455920f4d2d2b122e9083f5b8527274",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer I - Stream Governance Remote, Ontario, Canada | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Software Engineer, you will be the technical lead for several key initiatives for the Stream Governance product at Confluent. The Stream Governance product portfolio is crucial to bringing Confluent's mission to put event streaming at the heart of every organization and is a core component of the Data Streaming Platform. As part of our Stream Governance offering, you will be responsible for delivering critical functionalities such as Confluent Stream Catalog, Stream Sharing, Stream Lineage and Data Portal. These products enable our customers to search, organize, understand, share and access data in a self-service way. In this role, you will collaborate closely with the team and key stakeholders to design, architect, and develop cloud-native, multi-tenant services for Stream Governance. You will be responsible for guiding the vision, providing technical leadership, mentoring, and enabling a",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:f455920f4d2d2b122e9083f5b8527274:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cb18886f462f73194f",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f455920f4d2d2b122e9083f5b8527274",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:f455920f4d2d2b122e9083f5b8527274:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.2e040e296871d3a105",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f455920f4d2d2b122e9083f5b8527274",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:c2a5b2a023578785501456c5",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f8e3eb839fdd76057e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f455920f4d2d2b122e9083f5b8527274",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7113584d31945798892500b19bf62817",
      "title": "Principal Engineer, Engineering AI Productivity",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/85107937-8f12-4336-abb8-e88f344c6bcc",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Engineer, Engineering AI Productivity Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We're seeking a strategic and hands-on technical leader to define and drive Confluent's internal agentic AI capabilities, and adoption of smart, automated decisioning systems for R&D productivity. In this role, you will partner across Engineering, Security, and IT to scale AI usage across our platform to accelerate value for customers and the business. You will operationalize a vision where AI augments developers, automates routine tasks, and orchestrates intelligent workflows that unlock new usage patterns. WHAT YOU WILL DO: - Strategy & Vision - Define and evangelize the AI and agentic flows strategy - aligning business metrics, engineering needs, and platform opportunities. - Build a roadmap for introducing agentic automation features, smart assistants, and AI-driven workflows across all aspects of engineering. - Identify and resolve bottlenecks across the entire product and software development life cycle. - Cross-Functional Leadership -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "principal",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a536ee7805a3453634",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7113584d31945798892500b19bf62817",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Engineer, Engineering AI Productivity Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We're seeking a strategic and hands-on technical leader to define and drive Confluent's internal agentic AI capabilities, and adoption of smart, automated decisioning systems for R&D productivity. In this role, you will partner across Engineering, Security, and IT to scale AI usage across our platform to accelerate value for customers and the business. You will operationalize a vision where AI augments developers, automates routine tasks, and orchestrates intelligent workflows that unlock new usage patterns. WHAT YOU WILL DO: - Strategy & Vision - Define and evangelize the AI and agentic flows strategy - aligning business metrics, engineering needs, and platform opportunities. - Build a roadmap for introducing agentic automation features, smart assistants, and AI-driven workflows across all aspects of engineering. - Identify and resolve bottlenecks across the entire product and software development life cycle. - Cross-Functional Leadership -",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:7113584d31945798892500b19bf62817:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.99346c67a303ff1e04",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7113584d31945798892500b19bf62817",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:7113584d31945798892500b19bf62817:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.edfdaa8a06b4aefd72",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7113584d31945798892500b19bf62817",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:79932fd3a4db1c99917c5f1f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8c9554181455e55bb0",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7113584d31945798892500b19bf62817",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "988b634d67d670e7bd3a4777c3547f4f",
      "title": "Staff Software Engineer - Flink SQL",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/79c5035c-4266-40f0-86e1-84d067ed77b1",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer - Flink SQL Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent is seeking an innovative and executing Staff Engineer to help make stream processing feel like using a database with SQL. In this role, you will be instrumental in developing the core building blocks that will allow users a true just-in time, consumption based experience, making it the most efficient and fast cloud native Apache Flink experience on the market. You will be working in a team with other known Flink experts iterating on an already existing implementation based on actual usage data and product requirements. With the team you will also be working on relevant components of open source Apache Flink that will benefit both the Open Source community as well as Confluent. WHAT YOU WILL DO: - Work on the next iterations of Flink SQL components such as logical query planner, parser, optimizer and SQL",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.8321cc67d7cf929a0a",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "988b634d67d670e7bd3a4777c3547f4f",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer - Flink SQL Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent is seeking an innovative and executing Staff Engineer to help make stream processing feel like using a database with SQL. In this role, you will be instrumental in developing the core building blocks that will allow users a true just-in time, consumption based experience, making it the most efficient and fast cloud native Apache Flink experience on the market. You will be working in a team with other known Flink experts iterating on an already existing implementation based on actual usage data and product requirements. With the team you will also be working on relevant components of open source Apache Flink that will benefit both the Open Source community as well as Confluent. WHAT YOU WILL DO: - Work on the next iterations of Flink SQL components such as logical query planner, parser, optimizer and SQL",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:988b634d67d670e7bd3a4777c3547f4f:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.39a6f159d95396f23f",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "988b634d67d670e7bd3a4777c3547f4f",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:988b634d67d670e7bd3a4777c3547f4f:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.0c84e17be609732f63",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "988b634d67d670e7bd3a4777c3547f4f",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:13a26fb8a11397b87f5b8349",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f4b40435cf4b2b5678",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "988b634d67d670e7bd3a4777c3547f4f",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "2712b8b0e3e056758e0d403cab7d24e5",
      "title": "Cloud Enablement Engineering",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/1d4405c5-4f6e-4586-9a39-315e1d03a399",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Cloud Enablement Engineering IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Cloud Enablement Engineer at Confluent, you will be at the intersection of engineering and education, empowering our users and prospects with the knowledge and skills to leverage Kafka and Flink on Confluent Cloud effectively. You will be responsible for guiding our valued users to get started with Confluent Cloud by holding one-on-one conversations and by creating high-quality technical content, including code samples, articles, and webinars, that demonstrate how to set up and use Confluent Cloud for various real-time data use cases like Real Time Data Warehousing, Migration from Open Source Kafka, Custom Connector set up, integrating with AI and ML tools etc. WHAT YOU WILL DO: - Develop and maintain high-quality, well-documented guides for various setup, performance tuning, scaling needs that customers often have. - Develop and maintain high-quality, well-documented code examples that illustrate the usage of Confluent Cloud with",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b85851044c5fc92278",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2712b8b0e3e056758e0d403cab7d24e5",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Cloud Enablement Engineering IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Cloud Enablement Engineer at Confluent, you will be at the intersection of engineering and education, empowering our users and prospects with the knowledge and skills to leverage Kafka and Flink on Confluent Cloud effectively. You will be responsible for guiding our valued users to get started with Confluent Cloud by holding one-on-one conversations and by creating high-quality technical content, including code samples, articles, and webinars, that demonstrate how to set up and use Confluent Cloud for various real-time data use cases like Real Time Data Warehousing, Migration from Open Source Kafka, Custom Connector set up, integrating with AI and ML tools etc. WHAT YOU WILL DO: - Develop and maintain high-quality, well-documented guides for various setup, performance tuning, scaling needs that customers often have. - Develop and maintain high-quality, well-documented code examples that illustrate the usage of Confluent Cloud with",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:2712b8b0e3e056758e0d403cab7d24e5:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a4c3963ecd79540863",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2712b8b0e3e056758e0d403cab7d24e5",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:2712b8b0e3e056758e0d403cab7d24e5:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.347f28df1dca0db784",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2712b8b0e3e056758e0d403cab7d24e5",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:5eebb1d1aee6723fac52e156",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b9653e45d76d8c5dd2",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "2712b8b0e3e056758e0d403cab7d24e5",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "11a3d91568f2c865e933e5b67c97b7b3",
      "title": "Staff Product Manager, Kafka Connect",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote | Remote, Texas | Remote, Virginia",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/21082b9f-440a-4ba6-a469-c70d339d1aa9",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Product Manager, Kafka Connect Remote, United States | Remote | Remote, Texas | Remote, Virginia We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Product Manager in the Kafka Connect team at Confluent, you'll contribute to the mission of building the world's best data streaming platform. You will help drive Confluent Connect's Enterprise feature portfolio. You will also be responsible for enabling seamless, enterprise-grade integration between Kafka and common external systems, and supporting on-premise deployments and managed services in Confluent Cloud. You are expected to use or introduce AI/ML capabilities for the features you are building or enhancing. You will be working with the field on many GTM initiatives and be the focal point for customer success. WHAT YOU WILL DO: - You'll be responsible for the success of a major product initiative, from initial conception and customer development to growth strategy. - You'll become the trusted resource for your product, making sure",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.f44795ecf023c03fd6",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "11a3d91568f2c865e933e5b67c97b7b3",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Manager, Kafka Connect Remote, United States | Remote | Remote, Texas | Remote, Virginia We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Staff Product Manager in the Kafka Connect team at Confluent, you'll contribute to the mission of building the world's best data streaming platform. You will help drive Confluent Connect's Enterprise feature portfolio. You will also be responsible for enabling seamless, enterprise-grade integration between Kafka and common external systems, and supporting on-premise deployments and managed services in Confluent Cloud. You are expected to use or introduce AI/ML capabilities for the features you are building or enhancing. You will be working with the field on many GTM initiatives and be the focal point for customer success. WHAT YOU WILL DO: - You'll be responsible for the success of a major product initiative, from initial conception and customer development to growth strategy. - You'll become the trusted resource for your product, making sure",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:11a3d91568f2c865e933e5b67c97b7b3:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f3142a3f1799ac4c39",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "11a3d91568f2c865e933e5b67c97b7b3",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:11a3d91568f2c865e933e5b67c97b7b3:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.f08686dfe894d985db",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "11a3d91568f2c865e933e5b67c97b7b3",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:65684821ecb36da185fbb67e",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f2a262a14e2783286d",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "11a3d91568f2c865e933e5b67c97b7b3",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "1ad8597dd64b749808ce0f004925f323",
      "title": "Staff Product Manager, Real Time Data Analytics Platform",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote | Remote, Washington",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/81b94a4e-53d3-40d5-9c04-af57bd01961c",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Product Manager, Real Time Data Analytics Platform Remote, United States | Remote | Remote, Washington We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.acd35da0264e171362",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "1ad8597dd64b749808ce0f004925f323",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Product Manager, Real Time Data Analytics Platform Remote, United States | Remote | Remote, Washington We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:1ad8597dd64b749808ce0f004925f323:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7df74212a802fed959",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "1ad8597dd64b749808ce0f004925f323",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:1ad8597dd64b749808ce0f004925f323:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.692b423b30a7958ac3",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "1ad8597dd64b749808ce0f004925f323",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:21318a2b96242e8e895e0bba",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a5e0b98a774dd23a0b",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "1ad8597dd64b749808ce0f004925f323",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0aff9680fd93cbf7a01880f4cae14ee1",
      "title": "Senior Finance BSA - NetSuite",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Bangalore, India | Hybrid | Remote",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/3ffbcfdf-6650-4608-9479-e09c09a0d460",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Finance BSA - NetSuite Bangalore, India | Hybrid | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Senior Business Systems Analyst will be part of the Confluent Finance Systems group. She/He will work closely with finance business users, in areas of OM, AR, Revenue Accounting, on various system initiatives and manage the end-to-end project lifecycle. The analyst will be a strong business partner and will drive the implementation of a world class billing and revenue management solution. You will work with stakeholders to define, manage, implement and optimize billing and revenue applications. In addition to being organized and analytical , He/She will be a great team player and communicate effectively with all levels of the organization. You will have the freedom to exercise creativity, and display your problem-solving skills, while contributing to Confluent's growth. WHAT YOU WILL DO: - Analyst responsible for implementing and optimizing systems and processes across billing, revenue recognition, and",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "finance",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.93d041e8bbc6a3d390",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0aff9680fd93cbf7a01880f4cae14ee1",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Finance BSA - NetSuite Bangalore, India | Hybrid | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Senior Business Systems Analyst will be part of the Confluent Finance Systems group. She/He will work closely with finance business users, in areas of OM, AR, Revenue Accounting, on various system initiatives and manage the end-to-end project lifecycle. The analyst will be a strong business partner and will drive the implementation of a world class billing and revenue management solution. You will work with stakeholders to define, manage, implement and optimize billing and revenue applications. In addition to being organized and analytical , He/She will be a great team player and communicate effectively with all levels of the organization. You will have the freedom to exercise creativity, and display your problem-solving skills, while contributing to Confluent's growth. WHAT YOU WILL DO: - Analyst responsible for implementing and optimizing systems and processes across billing, revenue recognition, and",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0aff9680fd93cbf7a01880f4cae14ee1:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.7ebf0f29f0f2494d70",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0aff9680fd93cbf7a01880f4cae14ee1",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0aff9680fd93cbf7a01880f4cae14ee1:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.1efb3afbf441c83f3b",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0aff9680fd93cbf7a01880f4cae14ee1",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f8f39bf8fbb039ff78f6f1ab",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.efe8570766658694f2",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0aff9680fd93cbf7a01880f4cae14ee1",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "e36fcaaed6a44e18b6ce3ac27098df4d",
      "title": "Senior Engineering Manager, Flink Control Plane",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, California | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/f6b05632-b694-49bf-9464-0af5430c8c6c",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Engineering Manager, Flink Control Plane Remote, California | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust, serverless control plane for Confluent's fully managed Flink offering. As the Senior Engineering Manager, you will lead a high-impact team of approximately 10 engineers-including two Staff-level individual contributors-responsible for the \"brain\" of our streaming service. You will own the customer-facing Flink REST API and Gateway, the Kubernetes operators that orchestrate Flink job lifecycles (submission, scaling, recovery), and the declarative API server that backs them - the stack every Flink customer interaction flows through. Your team is responsible for multi-tenant isolation, end-to-end reliability, and the integration points between Confluent's global control plane and the regional Flink data plane. This is a critical leadership role where you will balance deep technical strategy-driving architectural excellence and reliability-with a strong focus on people leadership, specifically growing a talented group of",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.65c16c8111b57675ed",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Engineering Manager, Flink Control Plane Remote, California | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Flink Platform team is at the forefront of building a robust, serverless control plane for Confluent's fully managed Flink offering. As the Senior Engineering Manager, you will lead a high-impact team of approximately 10 engineers-including two Staff-level individual contributors-responsible for the \"brain\" of our streaming service. You will own the customer-facing Flink REST API and Gateway, the Kubernetes operators that orchestrate Flink job lifecycles (submission, scaling, recovery), and the declarative API server that backs them - the stack every Flink customer interaction flows through. Your team is responsible for multi-tenant isolation, end-to-end reliability, and the integration points between Confluent's global control plane and the regional Flink data plane. This is a critical leadership role where you will balance deep technical strategy-driving architectural excellence and reliability-with a strong focus on people leadership, specifically growing a talented group of",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:e36fcaaed6a44e18b6ce3ac27098df4d:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.075584ad8e29d6fe61",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:e36fcaaed6a44e18b6ce3ac27098df4d:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.af906ad0852b74a229",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:f2a0e898f15329b6cc028404",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.b7354898c46fa3e3fa",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "e36fcaaed6a44e18b6ce3ac27098df4d",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "47a984a8bf570f5fd15758fba2729754",
      "title": "Principal Engineer I - Cloud Observability",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/e12d3084-a84e-4c1a-800e-5d5dbb9e27e8",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Engineer I - Cloud Observability IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The charter of the Confluent Observability team has been continuously expanding since its inception. You will technically drive the advancements in an expanding Confluent Observability charter. We want to ensure the quality of our Confluent Cloud observability features raise the bar. You will design and build technology for this. How do we enable our cloud and hybrid customers to gain insight into the health and performance of their Confluent resources quickly and effectively, ensuring that the experience of operating Confluent is unmatched? How do we bring forth new observability capabilities with rock-solid reliability while growing to 10x scale and beyond? How do we enable near real-time use cases for our customers' most challenging use cases? This means being able to handle open-ended strategy in this area. Confluent needs you to explore and experiment with new ideas that benefit customers",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "principal",
      "years_experience_min": 8,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.572f2c27ee80ae0850",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "47a984a8bf570f5fd15758fba2729754",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Principal Engineer I - Cloud Observability IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. About the Role: The charter of the Confluent Observability team has been continuously expanding since its inception. You will technically drive the advancements in an expanding Confluent Observability charter. We want to ensure the quality of our Confluent Cloud observability features raise the bar. You will design and build technology for this. How do we enable our cloud and hybrid customers to gain insight into the health and performance of their Confluent resources quickly and effectively, ensuring that the experience of operating Confluent is unmatched? How do we bring forth new observability capabilities with rock-solid reliability while growing to 10x scale and beyond? How do we enable near real-time use cases for our customers' most challenging use cases? This means being able to handle open-ended strategy in this area. Confluent needs you to explore and experiment with new ideas that benefit customers",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:47a984a8bf570f5fd15758fba2729754:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.4cc854df0b047c531e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "47a984a8bf570f5fd15758fba2729754",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:47a984a8bf570f5fd15758fba2729754:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.0f0aa76e54196b559b",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "47a984a8bf570f5fd15758fba2729754",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:03415203b7febeae053af353",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.ba80807308226cc820",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "47a984a8bf570f5fd15758fba2729754",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "4bf2d555ae26747133702fa3649f2f95",
      "title": "Staff Software Engineer I - SRE",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/0b2a4106-7f01-4205-813d-81e4fa1abdb4",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer I - SRE IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent Cloud processes millions of events per second across AWS, GCP, and Azure. When incidents happen in a multi-cloud streaming platform, they happen at scale-data in motion, exactly-once semantics, and cascading failure modes that require deep systems thinking. We need an expert-level engineer who can drive proactive reliability improvements that prevent these incidents before they occur. This role combines hands-on technical work with strategic program ownership. You'll spend roughly 75% of your time on engineering: building automation, improving tooling, analyzing systemic failure patterns, and designing reliability improvements. The remaining 25% is teaching and coordination: coaching teams through post-mortems, training incident commanders, and evolving our incident response practices. You'll be part of a global team with follow-the-sun coverage, with clean handoffs that keep everyone working sustainable hours. Confluent has 800-1000 engineers across highly autonomous teams. This role sits within Cloud",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.ad25f4972ac9e0d39c",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4bf2d555ae26747133702fa3649f2f95",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer I - SRE IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: Confluent Cloud processes millions of events per second across AWS, GCP, and Azure. When incidents happen in a multi-cloud streaming platform, they happen at scale-data in motion, exactly-once semantics, and cascading failure modes that require deep systems thinking. We need an expert-level engineer who can drive proactive reliability improvements that prevent these incidents before they occur. This role combines hands-on technical work with strategic program ownership. You'll spend roughly 75% of your time on engineering: building automation, improving tooling, analyzing systemic failure patterns, and designing reliability improvements. The remaining 25% is teaching and coordination: coaching teams through post-mortems, training incident commanders, and evolving our incident response practices. You'll be part of a global team with follow-the-sun coverage, with clean handoffs that keep everyone working sustainable hours. Confluent has 800-1000 engineers across highly autonomous teams. This role sits within Cloud",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:4bf2d555ae26747133702fa3649f2f95:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.9572ed7f988d68ee26",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4bf2d555ae26747133702fa3649f2f95",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:4bf2d555ae26747133702fa3649f2f95:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.40fdc8af9e30dbe9c8",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4bf2d555ae26747133702fa3649f2f95",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:4ec988540e198389c5249e4f",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.f4162dd7d5cf06977e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "4bf2d555ae26747133702fa3649f2f95",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "3578a6fb05e56e681d8d829a524b4171",
      "title": "Staff Software Engineer - Apache Kafka",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "PL Remote Poland | Remote",
      "country": "PL",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/90949913-fc2b-47aa-8015-fcd264b352ae",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer - Apache Kafka PL Remote Poland | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are looking for a Staff Software Engineer to work on various features and improvements in the Apache Kafka software. In this role, you will work closely with the Apache community as well as senior engineers on the team to build features, work on Kafka improvements and help review designs.. The features you build will cut across various components in the Kafka software stack including the Clients, Streams, Broker and other backend services. You will contribute to the performance improvements, operational aspects and innovate the stack. WHAT YOU WILL DO: As a Staff Software Engineer, you will be a technical leader whose work significantly impacts the product, engineering organization, and customer success. - Collaborate with the Apache Kafka community via KIPs, code contributions, reviews, and technical discussions; represent Confluent's interests while keeping the broader ecosystem in mind.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 4,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5c2e4d26511721049d",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3578a6fb05e56e681d8d829a524b4171",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Staff Software Engineer - Apache Kafka PL Remote Poland | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are looking for a Staff Software Engineer to work on various features and improvements in the Apache Kafka software. In this role, you will work closely with the Apache community as well as senior engineers on the team to build features, work on Kafka improvements and help review designs.. The features you build will cut across various components in the Kafka software stack including the Clients, Streams, Broker and other backend services. You will contribute to the performance improvements, operational aspects and innovate the stack. WHAT YOU WILL DO: As a Staff Software Engineer, you will be a technical leader whose work significantly impacts the product, engineering organization, and customer success. - Collaborate with the Apache Kafka community via KIPs, code contributions, reviews, and technical discussions; represent Confluent's interests while keeping the broader ecosystem in mind.",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:3578a6fb05e56e681d8d829a524b4171:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cbdc955a387d8bfab2",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3578a6fb05e56e681d8d829a524b4171",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:3578a6fb05e56e681d8d829a524b4171:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.93251926fc0b028a5e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3578a6fb05e56e681d8d829a524b4171",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:50db665e537982a662adc99b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.d52d0a7706a9fdfc1b",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3578a6fb05e56e681d8d829a524b4171",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "7d78276362b483c3d73e1df4afae5446",
      "title": "Senior Product Manager – Pricing & Monetization",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Office Bangalore",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "onsite",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 5,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/c3fd5156-d339-4082-b6bd-2aba8b404188",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Product Manager – Pricing & Monetization IN Office Bangalore We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE We are looking for a critical, high visibility Senior Product Manager - Pricing & Monetization based in India to help design, optimize, and operationalize Confluent's pricing and monetization models to drive growth. In this role, you will collaborate closely across Product, Engineering, Finance, Sales, and Deal Strategy teams to align pricing and packaging with customer value, translate business requirements into technical capabilities, and build durable cost models, while enabling data-driven decisions on adoption, top-line growth, margins, and overall long-term profitability. This role sits within the broader Pricing & Monetization organization and reports into a senior product leader in the team. WHAT YOU WILL DO Cloud Pricing Strategy & Operations - Devise pricing & packaging strategy through customer research, competitive analysis and benchmarking, and cost modeling to achieve revenue and adoption goals for Confluent products. - Drive cross-functional alignment",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "product",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e56132d7083bb65b9f",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7d78276362b483c3d73e1df4afae5446",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Product Manager – Pricing & Monetization IN Office Bangalore We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE We are looking for a critical, high visibility Senior Product Manager - Pricing & Monetization based in India to help design, optimize, and operationalize Confluent's pricing and monetization models to drive growth. In this role, you will collaborate closely across Product, Engineering, Finance, Sales, and Deal Strategy teams to align pricing and packaging with customer value, translate business requirements into technical capabilities, and build durable cost models, while enabling data-driven decisions on adoption, top-line growth, margins, and overall long-term profitability. This role sits within the broader Pricing & Monetization organization and reports into a senior product leader in the team. WHAT YOU WILL DO Cloud Pricing Strategy & Operations - Devise pricing & packaging strategy through customer research, competitive analysis and benchmarking, and cost modeling to achieve revenue and adoption goals for Confluent products. - Drive cross-functional alignment",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:7d78276362b483c3d73e1df4afae5446:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.50355cb138d4d7b741",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7d78276362b483c3d73e1df4afae5446",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:7d78276362b483c3d73e1df4afae5446:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.semantic.employer_name.9186593e56709b5084",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7d78276362b483c3d73e1df4afae5446",
          "signal_type": "query_match",
          "display_text": "Employer: semantic match",
          "tooltip": "Employer provided semantic evidence for your search intent.",
          "source_binding": "reranker_semantic_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "rerank_result.semantic_evidence",
          "candidate_evidence_id": null,
          "rerank_evidence_id": "rerank:a75e2d8f888796251405517b",
          "taxonomy_alias_id": null,
          "oracle_verification_method": "reranker_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": false,
          "priority": 86,
          "mobile_priority": 2,
          "ui": {
            "icon": "Sparkles",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.43d74fc8c3ad117745",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "7d78276362b483c3d73e1df4afae5446",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "6d1b2fb16751ada2e0687ad6498e3558",
      "title": "Senior Software Engineer - Infrastructure",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "CA Remote Ontario | Remote | Remote, British Columbia, Canada",
      "country": "CA",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/4218f1c2-3679-4aff-a458-20ef09817fc4",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer - Infrastructure CA Remote Ontario | Remote | Remote, British Columbia, Canada We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are a team of passionate engineers who love solving complex distributed systems and infrastructure problems. We are building Kora from the ground up to be a true managed service for clients who demand high levels of availability and performance at the lowest cost of ownership. In this role, you will be working on building a highly available, performant, reliable, durable, scalable, and multi-tenant storage engine for Kora. You will be instrumental in driving the technical solutions end-to-end, working closely with the team and key stakeholders to design, architect, and develop top-notch solutions. WHAT YOU WILL DO: - Build the software underpinning the mission-critical Confluent Cloud storage engine. You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems. - Independently drive execution of software projects",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 2,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1b6074c8215a104de4",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "6d1b2fb16751ada2e0687ad6498e3558",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer - Infrastructure CA Remote Ontario | Remote | Remote, British Columbia, Canada We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are a team of passionate engineers who love solving complex distributed systems and infrastructure problems. We are building Kora from the ground up to be a true managed service for clients who demand high levels of availability and performance at the lowest cost of ownership. In this role, you will be working on building a highly available, performant, reliable, durable, scalable, and multi-tenant storage engine for Kora. You will be instrumental in driving the technical solutions end-to-end, working closely with the team and key stakeholders to design, architect, and develop top-notch solutions. WHAT YOU WILL DO: - Build the software underpinning the mission-critical Confluent Cloud storage engine. You will play a crucial role in designing, developing and operationalizing high performance, scalable, reliable and resilient systems. - Independently drive execution of software projects",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:6d1b2fb16751ada2e0687ad6498e3558:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.37a8878d962246d2cf",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "6d1b2fb16751ada2e0687ad6498e3558",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:6d1b2fb16751ada2e0687ad6498e3558:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.cd589ac5f75024a6ec",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "6d1b2fb16751ada2e0687ad6498e3558",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "9113f01d056de2dd564cb39e20188a01",
      "title": "Senior Manager - Engineering",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/a3b2c5df-be05-40c6-9012-b881b7f507f0",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Manager - Engineering IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Senior Manager, Engineering you will build, lead, and grow a high-performing engineering organization responsible for one of Confluent's most critical services. This role demands a unique blend of deep technical expertise and strong leadership-you must drive both the strategic vision for a large-scale, real-time analytics platform AND execute flawlessly on operational excellence. Your immediate focus will be on: 1. Scaling for Growth: Leading the technical strategy to scale our metrics infrastructure to handle 10x data volume over the next 2 years 2. API Evolution: Driving the roadmap for new metrics datasets, query capabilities, and integration patterns 3. Operational Excellence: Ensuring 99.99%+ availability, sub-second query performance, and seamless incident response 4. Cross-Team Collaboration: Partnering with multiple teams across Telemetry, Cloud Infrastructure, and Product to deliver end-to-end observability solutions WHAT YOU WILL DO: - Drive execution on complex projects, dive deep,",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9eb03037813e928277",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "9113f01d056de2dd564cb39e20188a01",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Manager - Engineering IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: As a Senior Manager, Engineering you will build, lead, and grow a high-performing engineering organization responsible for one of Confluent's most critical services. This role demands a unique blend of deep technical expertise and strong leadership-you must drive both the strategic vision for a large-scale, real-time analytics platform AND execute flawlessly on operational excellence. Your immediate focus will be on: 1. Scaling for Growth: Leading the technical strategy to scale our metrics infrastructure to handle 10x data volume over the next 2 years 2. API Evolution: Driving the roadmap for new metrics datasets, query capabilities, and integration patterns 3. Operational Excellence: Ensuring 99.99%+ availability, sub-second query performance, and seamless incident response 4. Cross-Team Collaboration: Partnering with multiple teams across Telemetry, Cloud Infrastructure, and Product to deliver end-to-end observability solutions WHAT YOU WILL DO: - Drive execution on complex projects, dive deep,",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:9113f01d056de2dd564cb39e20188a01:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.8a08f63795e73975b8",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "9113f01d056de2dd564cb39e20188a01",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:9113f01d056de2dd564cb39e20188a01:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.27fd9f00bc2c68d41a",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "9113f01d056de2dd564cb39e20188a01",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "de31874a9c8727a9401fb5e2311a2f22",
      "title": "Senior Software Engineer II, Kora Compute",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "*Job Posting Only: USA1",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/5b5790ab-8603-4613-b493-be21ea975f3d",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer II, Kora Compute *Job Posting Only: USA1 We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are a team of passionate engineers who love solving complex distributed systems and infrastructure problems. We are building Kora from the ground up to be a true managed service for clients who demand high levels of availability and performance at the lowest cost of ownership. In this role, you will be working on building highly available, reliable, secure, scalable, and multi-tenant Kora's compute layer. You will be instrumental in driving the technical solutions end-to-end, working closely with the team and key stakeholders to design, architect, and develop top-notch solutions. Here are examples of some of the challenges we've taken on in recent years: Kora: A Cloud-Native Event Streaming Platform For Kafka https://www.vldb.org/pvldb/vol16/p3822-povzner.pdf Apache Kafka's Next-Gen Rebalance Protocol: Towards More Stable and Scalable Consumer Groups https://www.confluent.io/events/current/2023/apache-kafkas-next-gen-rebalance-protocol-towards-more-stable-and-scalable/ From On-Prem to Cloud-Native: Multi-Tenancy in Confluent Cloud https://www.confluent.io/blog/cloud-native-multi-tenant-kafka-with-confluent-cloud/ Speed, Scale, Storage:",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 4,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.a3a38fb8f9cf026dde",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "de31874a9c8727a9401fb5e2311a2f22",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Software Engineer II, Kora Compute *Job Posting Only: USA1 We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are a team of passionate engineers who love solving complex distributed systems and infrastructure problems. We are building Kora from the ground up to be a true managed service for clients who demand high levels of availability and performance at the lowest cost of ownership. In this role, you will be working on building highly available, reliable, secure, scalable, and multi-tenant Kora's compute layer. You will be instrumental in driving the technical solutions end-to-end, working closely with the team and key stakeholders to design, architect, and develop top-notch solutions. Here are examples of some of the challenges we've taken on in recent years: Kora: A Cloud-Native Event Streaming Platform For Kafka https://www.vldb.org/pvldb/vol16/p3822-povzner.pdf Apache Kafka's Next-Gen Rebalance Protocol: Towards More Stable and Scalable Consumer Groups https://www.confluent.io/events/current/2023/apache-kafkas-next-gen-rebalance-protocol-towards-more-stable-and-scalable/ From On-Prem to Cloud-Native: Multi-Tenancy in Confluent Cloud https://www.confluent.io/blog/cloud-native-multi-tenant-kafka-with-confluent-cloud/ Speed, Scale, Storage:",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:de31874a9c8727a9401fb5e2311a2f22:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.e640953eb96ce2acc8",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "de31874a9c8727a9401fb5e2311a2f22",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:de31874a9c8727a9401fb5e2311a2f22:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.95513f87b13036e229",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "de31874a9c8727a9401fb5e2311a2f22",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f05215b8690e1b21ce287e4b2d14a453",
      "title": "Director Engineering, Traffic & Networking",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "Remote, United States | Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/c3f71f01-1b97-4356-92ea-b6c6aa294f46",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Director Engineering, Traffic & Networking Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Traffic & Networking organization is responsible for engineering the foundational fabric that facilitates the movement of vast data volumes between customer sources and our data streaming platform. Our infrastructure ensures secure, private, and high-performance connectivity across AWS, Azure, and GCP with minimal latency and optimized costs. By bridging all three major hyper-scalers, we empower streaming application teams to develop a globally distributed, real-time platform capable of processing and replicating data across nearly any geographic region. In the role of Engineering Director for Traffic & Networking, you will lead the Traffic Control-Plane team in managing a highly resilient, multi-cloud network orchestration layer. Serving as the central intelligence of our global fabric, the control-plane governs the entire lifecycle of the traffic data-plane and provides customers with networking APIs for seamless integration with Confluent Cloud. Additionally, it offers a programmable",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "director_plus",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5873e9587e1e0c7e13",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f05215b8690e1b21ce287e4b2d14a453",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Director Engineering, Traffic & Networking Remote, United States | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Traffic & Networking organization is responsible for engineering the foundational fabric that facilitates the movement of vast data volumes between customer sources and our data streaming platform. Our infrastructure ensures secure, private, and high-performance connectivity across AWS, Azure, and GCP with minimal latency and optimized costs. By bridging all three major hyper-scalers, we empower streaming application teams to develop a globally distributed, real-time platform capable of processing and replicating data across nearly any geographic region. In the role of Engineering Director for Traffic & Networking, you will lead the Traffic Control-Plane team in managing a highly resilient, multi-cloud network orchestration layer. Serving as the central intelligence of our global fabric, the control-plane governs the entire lifecycle of the traffic data-plane and provides customers with networking APIs for seamless integration with Confluent Cloud. Additionally, it offers a programmable",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:f05215b8690e1b21ce287e4b2d14a453:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.14e22a9f510d1a93af",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f05215b8690e1b21ce287e4b2d14a453",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:f05215b8690e1b21ce287e4b2d14a453:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.24cc314cedd12cb958",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f05215b8690e1b21ce287e4b2d14a453",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "076511189e70fa9fb01cecdbd8afb69d",
      "title": "Senior Manager, Engineering - KORA",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/5c5eb5ed-e880-447e-a76e-e056ce2acfb9",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Manager, Engineering - KORA IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are seeking a hands-on, distributed systems leader for our Kafka team. You will be leading the team that manages a fleet of thousands of clusters across AWS, GCP, and Azure, solving some of the most complex challenges in distributed systems at a massive scale. You will be directly responsible for defining the vision, building the roadmap, and driving critical cross-team efforts to deliver on an ambitious charter. WHAT YOU WILL DO: - Own the Vision & Execution: Define and drive the overall roadmap for the one of the team within Kafka org. - Lead & Mentor: Grow, coach, and nurture a high-performance team of distributed systems engineers. You will be responsible for hiring, performance management, and keeping a high bar for talent. - Drive High-Impact Results: Lead critical technical initiatives focused on reliability, performance, scalability, and multi-tenancy. You will",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.9fc94aeea6623f12da",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "076511189e70fa9fb01cecdbd8afb69d",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Manager, Engineering - KORA IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: We are seeking a hands-on, distributed systems leader for our Kafka team. You will be leading the team that manages a fleet of thousands of clusters across AWS, GCP, and Azure, solving some of the most complex challenges in distributed systems at a massive scale. You will be directly responsible for defining the vision, building the roadmap, and driving critical cross-team efforts to deliver on an ambitious charter. WHAT YOU WILL DO: - Own the Vision & Execution: Define and drive the overall roadmap for the one of the team within Kafka org. - Lead & Mentor: Grow, coach, and nurture a high-performance team of distributed systems engineers. You will be responsible for hiring, performance management, and keeping a high bar for talent. - Drive High-Impact Results: Lead critical technical initiatives focused on reliability, performance, scalability, and multi-tenancy. You will",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:076511189e70fa9fb01cecdbd8afb69d:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6fa13ef0a7edcb4074",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "076511189e70fa9fb01cecdbd8afb69d",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:076511189e70fa9fb01cecdbd8afb69d:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.518e94e43693d4c6fa",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "076511189e70fa9fb01cecdbd8afb69d",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "0e4ec5c041f348292b4b8fe4bdb022fe",
      "title": "Senior Security Engineer II",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Remote India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/d9698ddf-9a48-4c8b-8aa2-5b272f204f11",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Security Engineer II IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. We are looking for an experienced security engineer to join our infrastructure security engineering team with a strong focus on detection and response. You will have a unique opportunity to leverage your threat detection and response experience and build some of the foundational systems and services to keep our infrastructure free from malicious actors and threats. You will partner closely with all engineering teams, IT administrators, and compliance analysts to ensure that we maintain sufficient visibility into our environments and develop effective programs and practices to ensure that our environments are always secure. Tooling and automation will be key to success as we scale our environments to meet customer demand. We intend to be the world's best, fastest, and most complete stream processing service built by an excellent team, all while having fun - come join us on the journey! What You Will Do:",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 48,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "security",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.d1b6ec23203422c4a6",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0e4ec5c041f348292b4b8fe4bdb022fe",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Security Engineer II IN Remote India We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. We are looking for an experienced security engineer to join our infrastructure security engineering team with a strong focus on detection and response. You will have a unique opportunity to leverage your threat detection and response experience and build some of the foundational systems and services to keep our infrastructure free from malicious actors and threats. You will partner closely with all engineering teams, IT administrators, and compliance analysts to ensure that we maintain sufficient visibility into our environments and develop effective programs and practices to ensure that our environments are always secure. Tooling and automation will be key to success as we scale our environments to meet customer demand. We intend to be the world's best, fastest, and most complete stream processing service built by an excellent team, all while having fun - come join us on the journey! What You Will Do:",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0e4ec5c041f348292b4b8fe4bdb022fe:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.c67953f46f81d175de",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0e4ec5c041f348292b4b8fe4bdb022fe",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:0e4ec5c041f348292b4b8fe4bdb022fe:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.65ed1b2da6ee48b0d2",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "0e4ec5c041f348292b4b8fe4bdb022fe",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "d49c25bcf6b06b2a93193876ddc5ae60",
      "title": "Platform Engineer II",
      "employer_name": "McDonald's",
      "employer_slug": "mcdonald-s",
      "location_text": "Country India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.mcdonalds.com/job/Hyderabad-Platform-Engineer-II-500081/1389338500/",
      "apply_url_verified": false,
      "ats": "successfactors",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Platform Engineer II Country India About McDonald's: One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Role Summary: As a Platform Engineer, you will build and operate the real-time streaming platform that powers event-driven data movement across McDonald's enterprise systems. You will work hands-on with Confluent Cloud, Google Cloud Pub/Sub, and Amazon MSK to deliver reliable, scalable, and observable streaming solutions in a high-volume, global environment. This role is ideal for engineers with 3-5 years of experience who want to deepen their expertise in event-driven architecture, streaming infrastructure, and platform operations within a modern, cloud-native ecosystem Key Responsibilities Design, build, and support event-driven and real-time streaming solutions using Confluent Cloud, GCP Pub/Sub, and Amazon MSK Implement and operate Kafka topics, partitions, consumer groups, and schemas to ensure scalability, reliability, and data integrity. Define and enforce event schema standards, including schema registry usage, compatibility rules, and versioning strategies.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.18b27f5d1adf31387f",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "d49c25bcf6b06b2a93193876ddc5ae60",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Platform Engineer II Country India About McDonald's: One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Role Summary: As a Platform Engineer, you will build and operate the real-time streaming platform that powers event-driven data movement across McDonald's enterprise systems. You will work hands-on with Confluent Cloud, Google Cloud Pub/Sub, and Amazon MSK to deliver reliable, scalable, and observable streaming solutions in a high-volume, global environment. This role is ideal for engineers with 3-5 years of experience who want to deepen their expertise in event-driven architecture, streaming infrastructure, and platform operations within a modern, cloud-native ecosystem Key Responsibilities Design, build, and support event-driven and real-time streaming solutions using Confluent Cloud, GCP Pub/Sub, and Amazon MSK Implement and operate Kafka topics, partitions, consumer groups, and schemas to ensure scalability, reliability, and data integrity. Define and enforce event schema standards, including schema registry usage, compatibility rules, and versioning strategies.",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:d49c25bcf6b06b2a93193876ddc5ae60:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.e3d42fdeb84f141d6f",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "d49c25bcf6b06b2a93193876ddc5ae60",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Platform Engineer II Country India About McDonald's: One of the world's largest employers with locations in more than 100 countries, McDonald's Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe. Role Summary: As a Platform Engineer, you will build and operate the real-time streaming platform that powers event-driven data movement across McDonald's enterprise systems. You will work hands-on with Confluent Cloud, Google Cloud Pub/Sub, and Amazon MSK to deliver reliable, scalable, and observable streaming solutions in a high-volume, global environment. This role is ideal for engineers with 3-5 years of experience who want to deepen their expertise in event-driven architecture, streaming infrastructure, and platform operations within a modern, cloud-native ecosystem Key Responsibilities Design, build, and support event-driven and real-time streaming solutions using Confluent Cloud, GCP Pub/Sub, and Amazon MSK Implement and operate Kafka topics, partitions, consumer groups, and schemas to ensure scalability, reliability, and data integrity. Define and enforce event schema standards, including schema registry usage, compatibility rules, and versioning strategies.",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a9221f9450e8bab730fab07144be4e92",
      "title": "Senior Release Engineer – Salesforce",
      "employer_name": "Confluent",
      "employer_slug": "confluent",
      "location_text": "IN Office Bangalore | Hybrid | Remote",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.ashbyhq.com/confluent/866b8521-046e-4b63-a318-c645c52a1cbd",
      "apply_url_verified": false,
      "ats": "ashby",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Release Engineer – Salesforce IN Office Bangalore | Hybrid | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Senior Release Engineer - Salesforce is responsible for owning and executing the end-to-end release process for Salesforce and related managed packages across lower environments and Production. This role will partner closely with Salesforce developers, architects, QA, Business Systems Analysts, and business stakeholders to ensure predictable, high-quality, and SOX-compliant deployments. The ideal candidate is hands-on with Salesforce DevOps toolchains (e.g., Copado/SFDX/Git), comfortable working in complex multi-sandbox environments, and experienced driving continuous improvement in release and environment management processes. WHAT YOU WILL DO: - Own and manage the Salesforce release calendar across Dev, QA, UAT, and Production, including weekly/regular release cadences, blackout periods, and emergency/exception releases. - Plan, coordinate, and execute deployments (metadata, configuration, and where applicable data) using the agreed toolset (e.g., Copado, SFDX, Git-based pipelines, APIs), including pre- and post-deploy steps. - Serve as the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.432dc3bf981f96cc27",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "a9221f9450e8bab730fab07144be4e92",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Release Engineer – Salesforce IN Office Bangalore | Hybrid | Remote We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. ABOUT THE ROLE: The Senior Release Engineer - Salesforce is responsible for owning and executing the end-to-end release process for Salesforce and related managed packages across lower environments and Production. This role will partner closely with Salesforce developers, architects, QA, Business Systems Analysts, and business stakeholders to ensure predictable, high-quality, and SOX-compliant deployments. The ideal candidate is hands-on with Salesforce DevOps toolchains (e.g., Copado/SFDX/Git), comfortable working in complex multi-sandbox environments, and experienced driving continuous improvement in release and environment management processes. WHAT YOU WILL DO: - Own and manage the Salesforce release calendar across Dev, QA, UAT, and Production, including weekly/regular release cadences, blackout periods, and emergency/exception releases. - Plan, coordinate, and execute deployments (metadata, configuration, and where applicable data) using the agreed toolset (e.g., Copado, SFDX, Git-based pipelines, APIs), including pre- and post-deploy steps. - Serve as the",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:a9221f9450e8bab730fab07144be4e92:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.a1f93772914cbead7b",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "a9221f9450e8bab730fab07144be4e92",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:a9221f9450e8bab730fab07144be4e92:employer:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.employer_name.6eca6b7c45df8b8d0a",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "a9221f9450e8bab730fab07144be4e92",
          "signal_type": "query_match",
          "display_text": "Employer: \"confluent\"",
          "tooltip": "Employer contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "employer_name",
          "source_value": "Confluent",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "29aaf9351a3ef98bcc2211393a2f81d6",
      "title": "Senior Full Stack Engineer, Credit Products",
      "employer_name": "Truebill",
      "employer_slug": "truebill",
      "location_text": "San Francisco, CA, Washington, D.C., New York City, N.Y.",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 185000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 185000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-01-14T22:21:27.000Z",
      "apply_url": "https://job-boards.greenhouse.io/truebill/jobs/7590626003",
      "apply_url_verified": false,
      "ats": "custom_structured",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Full Stack Engineer, Credit Products San Francisco, CA, Washington, D.C., New York City, N.Y. ABOUT ROCKET MONEY 🔮 Rocket Money's mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 📋 The Credit Products team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include: - User-facing public web applications and CRM for clients interested in home ownership. - Internal tools to improve the efficiency of licensed mortgage bankers and consultants. - Data pipelines for receiving, enriching, and operationalizing data across the company. Our platform is a bit over a year old, and much of our work is greenfield development on applications we've built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company. A (non-exhaustive) list of a few technologies we work with frequently include: Python, FastAPI, UV, Kafka, Confluent, React, TypeScript, TanStack, C#, .Net, Postgres, Docker, Kubernetes, Terraform, SalesForce, AWS, and GitHub Actions. ABOUT YOU 🤹‍♀️",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": true,
      "sabbatical_eligible": false,
      "family_friendly_score": 44,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.af1a29ac7c506f8679",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "29aaf9351a3ef98bcc2211393a2f81d6",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Senior Full Stack Engineer, Credit Products San Francisco, CA, Washington, D.C., New York City, N.Y. ABOUT ROCKET MONEY 🔮 Rocket Money's mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 📋 The Credit Products team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include: - User-facing public web applications and CRM for clients interested in home ownership. - Internal tools to improve the efficiency of licensed mortgage bankers and consultants. - Data pipelines for receiving, enriching, and operationalizing data across the company. Our platform is a bit over a year old, and much of our work is greenfield development on applications we've built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company. A (non-exhaustive) list of a few technologies we work with frequently include: Python, FastAPI, UV, Kafka, Confluent, React, TypeScript, TanStack, C#, .Net, Postgres, Docker, Kubernetes, Terraform, SalesForce, AWS, and GitHub Actions. ABOUT YOU 🤹‍♀️",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:29aaf9351a3ef98bcc2211393a2f81d6:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.0a257cd523de33d17e",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "29aaf9351a3ef98bcc2211393a2f81d6",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Senior Full Stack Engineer, Credit Products San Francisco, CA, Washington, D.C., New York City, N.Y. ABOUT ROCKET MONEY 🔮 Rocket Money's mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 📋 The Credit Products team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include: - User-facing public web applications and CRM for clients interested in home ownership. - Internal tools to improve the efficiency of licensed mortgage bankers and consultants. - Data pipelines for receiving, enriching, and operationalizing data across the company. Our platform is a bit over a year old, and much of our work is greenfield development on applications we've built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company. A (non-exhaustive) list of a few technologies we work with frequently include: Python, FastAPI, UV, Kafka, Confluent, React, TypeScript, TanStack, C#, .Net, Postgres, Docker, Kubernetes, Terraform, SalesForce, AWS, and GitHub Actions. ABOUT YOU 🤹‍♀️",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "377f779c3ae28dc15829c81be47e8492",
      "title": "Technical Support Engineer",
      "employer_name": "Metronome",
      "employer_slug": "metronome",
      "location_text": "New York City; San Francisco Bay Area",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 137000,
      "salary_max": 205600,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 137000,
      "base_salary_max": 205600,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-05-06T19:25:36.000Z",
      "apply_url": "https://job-boards.greenhouse.io/metronome/jobs/5211755008",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technical Support Engineer New York City; San Francisco Bay Area About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we're humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we've raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We're also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the Role As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 7,
      "role_function": "customer_success",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.51fd737c020520e994",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "377f779c3ae28dc15829c81be47e8492",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Support Engineer New York City; San Francisco Bay Area About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we're humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we've raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We're also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the Role As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:377f779c3ae28dc15829c81be47e8492:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.91aac069433edc40ae",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "377f779c3ae28dc15829c81be47e8492",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Technical Support Engineer New York City; San Francisco Bay Area About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we're humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we've raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We're also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the Role As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "85c2a378a2bbe2ce136ae8c284406352",
      "title": "Cloud Kafka Engineer",
      "employer_name": "BitPanda",
      "employer_slug": "bitpanda",
      "location_text": "Vienna, Vienna, Austria",
      "country": "AT",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "total comp",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": true,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-05-05T14:36:57.000Z",
      "apply_url": "https://job-boards.eu.greenhouse.io/bitpanda/jobs/4858728101",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Cloud Kafka Engineer Vienna, Vienna, Austria Who we are We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we're here to help people trust themselves enough to build their financial freedom - for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want - with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 7 million customers, making us one of Europe's safest and most secure platforms that powers modern investing. Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It's these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let's go! What You'll Do - Design, develop and evolve our cloud-based messaging systems with a focus on scaling and automation - Take ownership of the Confluent Kafka deployment - pro-actively identify bottlenecks, improve configurations and work with other engineering teams to tune applications - Design, develop and test backup and disaster recovery processes to ensure they are robust and reproducible - Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns",
      "parental_leave_weeks": 8,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5ff026800ea4cd6c24",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "85c2a378a2bbe2ce136ae8c284406352",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Cloud Kafka Engineer Vienna, Vienna, Austria Who we are We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we're here to help people trust themselves enough to build their financial freedom - for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want - with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 7 million customers, making us one of Europe's safest and most secure platforms that powers modern investing. Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It's these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let's go! What You'll Do - Design, develop and evolve our cloud-based messaging systems with a focus on scaling and automation - Take ownership of the Confluent Kafka deployment - pro-actively identify bottlenecks, improve configurations and work with other engineering teams to tune applications - Design, develop and test backup and disaster recovery processes to ensure they are robust and reproducible - Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:85c2a378a2bbe2ce136ae8c284406352:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.84cf49740e8bcafc89",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "85c2a378a2bbe2ce136ae8c284406352",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Cloud Kafka Engineer Vienna, Vienna, Austria Who we are We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we're here to help people trust themselves enough to build their financial freedom - for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks*, precious metals and commodities* they want - with any sized budget, 24/7. Our global team works across different cultures and time zones, bringing our products to more than 7 million customers, making us one of Europe's safest and most secure platforms that powers modern investing. Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, “roll-up-your-sleeves-and-make-it-happen” kind of people. It's these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Let's go! What You'll Do - Design, develop and evolve our cloud-based messaging systems with a focus on scaling and automation - Take ownership of the Confluent Kafka deployment - pro-actively identify bottlenecks, improve configurations and work with other engineering teams to tune applications - Design, develop and test backup and disaster recovery processes to ensure they are robust and reproducible - Build scalable, robust solutions for complex technical challenges, ensuring infrastructure design aligns",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "aa62c12c635f5070ae2269345e966635",
      "title": "Technical Support Engineer (EMEA)",
      "employer_name": "Metronome",
      "employer_slug": "metronome",
      "location_text": "Remote",
      "country": "unknown",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "a16z"
      ],
      "posted_at": "2026-05-07T17:26:25.000Z",
      "apply_url": "https://job-boards.greenhouse.io/metronome/jobs/5213261008",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Technical Support Engineer (EMEA) Remote About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we're humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we've raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We're also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the Role As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers. Your primary",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 51,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 7,
      "role_function": "customer_success",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b6cac7bea579f20536",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "aa62c12c635f5070ae2269345e966635",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Technical Support Engineer (EMEA) Remote About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we're humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we've raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We're also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the Role As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers. Your primary",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:aa62c12c635f5070ae2269345e966635:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.7790befe3a2e843417",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "aa62c12c635f5070ae2269345e966635",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Technical Support Engineer (EMEA) Remote About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we're humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our founders and employees also have direct experience building and scaling teams through massive growth at companies like Dropbox, Clever, and New Relic. On the back of this experience and our success-to-date, we've raised over $128M from leading investors including NEA, Andreessen Horowitz, General Catalyst, Elad Gil, and Workday Ventures. We're also proud to have founders and executives of companies like Segment, Plaid, Looker, Gitlab, Confluent, HashiCorp, and Snowflake, as investors who have experienced the pain we're solving firsthand. About the Role As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers. Your primary",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "f511ac3a38b40611422ffeab689c2c46",
      "title": "Data Engineer (Mid-Level / Senior)",
      "employer_name": "Entain",
      "employer_slug": "entain",
      "location_text": "Gżira, Il-Gżira, Malta",
      "country": "MT",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.smartrecruiters.com/Entain/744000114001508-data-engineer-mid-level-senior-",
      "apply_url_verified": false,
      "ats": "smartrecruiters",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Data Engineer (Mid-Level / Senior) Gżira, Il-Gżira, Malta Company Description: Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together. Job Description: We are looking for a mid-level or senior Data Engineer to join the United Data Team at Entain CEE. You will work as part of an international, cross-functional team of data professionals, contributing to the development of our modern cloud-based data platform and the data services that power our products and operations. In this role, you will design and build scalable pipelines, data models, and integrations, helping deliver reliable, production-ready data systems that support decision-making and enable data-driven growth across our brands. You will: Build and maintain data ingestion and transformation pipelines (batch & streaming) across multiple brands. Work closely with stakeholders in data engineering, analytics, and data science to ensure data is reliable, high-quality, and business-ready. Use modern data tools and frameworks such as GCP, Confluent Cloud (Kafka), Dataform, Airflow, Terraform, GitLab to deliver production-grade data systems. Support integration of multiple source systems using Debezium (CDC) and streaming technologies. Collaborate in an agile environment focused on continuous improvement, automation, and delivery. Key Responsibilities Develop, deploy, and monitor scalable data pipelines for real-time and batch processing.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 2,
      "years_experience_max": 6,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.4c48afeb57e69fc6e0",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f511ac3a38b40611422ffeab689c2c46",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Engineer (Mid-Level / Senior) Gżira, Il-Gżira, Malta Company Description: Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together. Job Description: We are looking for a mid-level or senior Data Engineer to join the United Data Team at Entain CEE. You will work as part of an international, cross-functional team of data professionals, contributing to the development of our modern cloud-based data platform and the data services that power our products and operations. In this role, you will design and build scalable pipelines, data models, and integrations, helping deliver reliable, production-ready data systems that support decision-making and enable data-driven growth across our brands. You will: Build and maintain data ingestion and transformation pipelines (batch & streaming) across multiple brands. Work closely with stakeholders in data engineering, analytics, and data science to ensure data is reliable, high-quality, and business-ready. Use modern data tools and frameworks such as GCP, Confluent Cloud (Kafka), Dataform, Airflow, Terraform, GitLab to deliver production-grade data systems. Support integration of multiple source systems using Debezium (CDC) and streaming technologies. Collaborate in an agile environment focused on continuous improvement, automation, and delivery. Key Responsibilities Develop, deploy, and monitor scalable data pipelines for real-time and batch processing.",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:f511ac3a38b40611422ffeab689c2c46:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.742a0c3da963b93a6a",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "f511ac3a38b40611422ffeab689c2c46",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Data Engineer (Mid-Level / Senior) Gżira, Il-Gżira, Malta Company Description: Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together. Job Description: We are looking for a mid-level or senior Data Engineer to join the United Data Team at Entain CEE. You will work as part of an international, cross-functional team of data professionals, contributing to the development of our modern cloud-based data platform and the data services that power our products and operations. In this role, you will design and build scalable pipelines, data models, and integrations, helping deliver reliable, production-ready data systems that support decision-making and enable data-driven growth across our brands. You will: Build and maintain data ingestion and transformation pipelines (batch & streaming) across multiple brands. Work closely with stakeholders in data engineering, analytics, and data science to ensure data is reliable, high-quality, and business-ready. Use modern data tools and frameworks such as GCP, Confluent Cloud (Kafka), Dataform, Airflow, Terraform, GitLab to deliver production-grade data systems. Support integration of multiple source systems using Debezium (CDC) and streaming technologies. Collaborate in an agile environment focused on continuous improvement, automation, and delivery. Key Responsibilities Develop, deploy, and monitor scalable data pipelines for real-time and batch processing.",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "a816f030d2f4d6b918efd06cc91426e5",
      "title": "Data Engineering",
      "employer_name": "Unisys CORP",
      "employer_slug": "unisys",
      "location_text": "Bangalore, KA, India",
      "country": "IN",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T00:00:00.000Z",
      "apply_url": "https://unisys.wd5.myworkdayjobs.com/External/job/Bangalore-KA-India/Data-Engineering_REQ571170",
      "apply_url_verified": true,
      "ats": "workday",
      "url_last_checked_alive": "2026-06-13T01:21:26.633Z",
      "removed_at": null,
      "description_excerpt": "Data Engineering Bangalore, KA, India Bangalore, KA, India What success looks like in this role: End-to-End Pipeline Engineering: Build and automate robust ETL/ELT pipelines using Azure Data Factory (ADF), AWS Glue, and Apache Airflow. · Distributed Computing: Develop large-scale data processing jobs using PySpark and Scala within Databricks or EMR environments. · Streaming & Real-time Integration: Design and implement real-time data ingestion and processing layers using Apache Kafka, Confluent, or AWS Kinesis. · Data Lakehouse : Manage and optimize cloud storage using ADLS Gen2 and S3, implementing ACID transactions with Delta Lake or Apache Iceberg. · Advanced Data Modeling: Design highly performant schemas for cloud data warehouses like Snowflake, Amazon Redshift, or Google BigQuery. · Data Transformation & Quality: Use dbt (data build tool) for modeling and implement automated quality checks using Great Expectations or Soda. · Infrastructure & CI/CD: Deploy and manage data infrastructure using Terraform or CloudFormation, and maintain CI/CD pipelines via GitHub Actions or GitLab CI. Technical Stack Requirements · Cloud Platforms: Deep hands-on experience with Microsoft Azure (ADF, Synapse, Databricks) and AWS (S3, Glue, Athena, Lambda). · Programming: Strong proficiency in Python (PySpark, FastAPI), SQL, and familiarity with Java or Scala. · Big Data Tools: Experience with Apache Spark, Apache Flink, and Hadoop ecosystem. · Databases: Strong knowledge of both Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, or DynamoDB) databases. · Containerization: Proficiency with Docker and Kubernetes (K8s) for deploying data services. · Observability: Familiarity with monitoring tools like Prometheus, Grafana, or Datadog to track pipeline",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 4,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Technology",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.db2b5c75d91d0f1120",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "a816f030d2f4d6b918efd06cc91426e5",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "Data Engineering Bangalore, KA, India Bangalore, KA, India What success looks like in this role: End-to-End Pipeline Engineering: Build and automate robust ETL/ELT pipelines using Azure Data Factory (ADF), AWS Glue, and Apache Airflow. · Distributed Computing: Develop large-scale data processing jobs using PySpark and Scala within Databricks or EMR environments. · Streaming & Real-time Integration: Design and implement real-time data ingestion and processing layers using Apache Kafka, Confluent, or AWS Kinesis. · Data Lakehouse : Manage and optimize cloud storage using ADLS Gen2 and S3, implementing ACID transactions with Delta Lake or Apache Iceberg. · Advanced Data Modeling: Design highly performant schemas for cloud data warehouses like Snowflake, Amazon Redshift, or Google BigQuery. · Data Transformation & Quality: Use dbt (data build tool) for modeling and implement automated quality checks using Great Expectations or Soda. · Infrastructure & CI/CD: Deploy and manage data infrastructure using Terraform or CloudFormation, and maintain CI/CD pipelines via GitHub Actions or GitLab CI. Technical Stack Requirements · Cloud Platforms: Deep hands-on experience with Microsoft Azure (ADF, Synapse, Databricks) and AWS (S3, Glue, Athena, Lambda). · Programming: Strong proficiency in Python (PySpark, FastAPI), SQL, and familiarity with Java or Scala. · Big Data Tools: Experience with Apache Spark, Apache Flink, and Hadoop ecosystem. · Databases: Strong knowledge of both Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, or DynamoDB) databases. · Containerization: Proficiency with Docker and Kubernetes (K8s) for deploying data services. · Observability: Familiarity with monitoring tools like Prometheus, Grafana, or Datadog to track pipeline",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:a816f030d2f4d6b918efd06cc91426e5:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.5b71b773a676ca2555",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "a816f030d2f4d6b918efd06cc91426e5",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "Data Engineering Bangalore, KA, India Bangalore, KA, India What success looks like in this role: End-to-End Pipeline Engineering: Build and automate robust ETL/ELT pipelines using Azure Data Factory (ADF), AWS Glue, and Apache Airflow. · Distributed Computing: Develop large-scale data processing jobs using PySpark and Scala within Databricks or EMR environments. · Streaming & Real-time Integration: Design and implement real-time data ingestion and processing layers using Apache Kafka, Confluent, or AWS Kinesis. · Data Lakehouse : Manage and optimize cloud storage using ADLS Gen2 and S3, implementing ACID transactions with Delta Lake or Apache Iceberg. · Advanced Data Modeling: Design highly performant schemas for cloud data warehouses like Snowflake, Amazon Redshift, or Google BigQuery. · Data Transformation & Quality: Use dbt (data build tool) for modeling and implement automated quality checks using Great Expectations or Soda. · Infrastructure & CI/CD: Deploy and manage data infrastructure using Terraform or CloudFormation, and maintain CI/CD pipelines via GitHub Actions or GitLab CI. Technical Stack Requirements · Cloud Platforms: Deep hands-on experience with Microsoft Azure (ADF, Synapse, Databricks) and AWS (S3, Glue, Athena, Lambda). · Programming: Strong proficiency in Python (PySpark, FastAPI), SQL, and familiarity with Java or Scala. · Big Data Tools: Experience with Apache Spark, Apache Flink, and Hadoop ecosystem. · Databases: Strong knowledge of both Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, or DynamoDB) databases. · Containerization: Proficiency with Docker and Kubernetes (K8s) for deploying data services. · Observability: Familiarity with monitoring tools like Prometheus, Grafana, or Datadog to track pipeline",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.apply.c20609685472286a53",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "a816f030d2f4d6b918efd06cc91426e5",
          "signal_type": "trust_signal",
          "display_text": "Live-verified apply link",
          "tooltip": "The apply link passed the latest liveness check.",
          "source_binding": "row_trust_evidence",
          "source_field": "apply_url_verified",
          "source_value": true,
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 10,
          "mobile_priority": 11,
          "ui": {
            "icon": "ExternalLink",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://unisys.wd5.myworkdayjobs.com/External/job/Bangalore-KA-India/Data-Engineering_REQ571170",
            "source_label": "Apply link",
            "source_date": "2026-06-13T01:21:26.633Z"
          }
        }
      ]
    },
    {
      "id": "3fb8f8a2d6e1a897eec2ebf0ac90d216",
      "title": "Full Stack Software Developer Level 3 or 4",
      "employer_name": "Northrop Grumman",
      "employer_slug": "northrop-grumman",
      "location_text": "2 Locations",
      "country": "unknown",
      "employment_type": "part_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 114000,
      "salary_max": 171000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 114000,
      "base_salary_max": 171000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": true,
      "top_startup_sources": [],
      "posted_at": "2026-05-31T00:00:00.000Z",
      "apply_url": "https://ngc.wd1.myworkdayjobs.com/Northrop_Grumman_External_Site/job/United-States-Colorado-Aurora/Full-Stack-Software-Developer-Level-3-or-4_R10230685",
      "apply_url_verified": true,
      "ats": "workday",
      "url_last_checked_alive": "2026-06-13T01:21:32.891Z",
      "removed_at": null,
      "description_excerpt": "Full Stack Software Developer Level 3 or 4 2 Locations RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Expand your horizons, advance your career, and contribute to a secure future for generations. Northrop Grumman's Space Sector invites you to bring your pioneering spirit to our collaborative teams. As a Full-Stack Software Engineer (Level 3 or 4) located in Aurora, CO or Manhattan Beach, CA, you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one. The Western Region Software Engineering organization comprises over 600 highly skilled professionals (for Manhattan Beach, CA) and Central Region Software Engineering organization",
      "parental_leave_weeks": 6,
      "non_birth_parent_leave_weeks": 6,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": "https://totalrewards.northropgrumman.com/",
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 56,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 5,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": "Industrial",
      "employer_size": "5000+",
      "quality_score": 55,
      "travel_pct": 10,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": true,
      "security_clearance": "top_secret",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.trust.apply.61980b6247b13bc2ec",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "3fb8f8a2d6e1a897eec2ebf0ac90d216",
          "signal_type": "trust_signal",
          "display_text": "Live-verified apply link",
          "tooltip": "The apply link passed the latest liveness check.",
          "source_binding": "row_trust_evidence",
          "source_field": "apply_url_verified",
          "source_value": true,
          "matched_input": true,
          "derivation_source": "verified_source_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "trust_source_exists",
          "counts_for_non_trivial_query": false,
          "truth_verified": true,
          "exact": true,
          "priority": 10,
          "mobile_priority": 11,
          "ui": {
            "icon": "ExternalLink",
            "tone": "verified",
            "href": null
          },
          "evidence_source": {
            "source_url": "https://ngc.wd1.myworkdayjobs.com/Northrop_Grumman_External_Site/job/United-States-Colorado-Aurora/Full-Stack-Software-Developer-Level-3-or-4_R10230685",
            "source_label": "Apply link",
            "source_date": "2026-06-13T01:21:32.891Z"
          }
        }
      ]
    },
    {
      "id": "3de215c761a10ea0bf4b56f810e1e137",
      "title": "Senior Software Engineer, Data Governance & Foundations",
      "employer_name": "Maplebear Inc.",
      "employer_slug": "maplebear",
      "location_text": "United States - Remote",
      "country": "US",
      "employment_type": "contract",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": 166000,
      "salary_max": 175000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 166000,
      "base_salary_max": 175000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-29T22:43:08.000Z",
      "apply_url": "https://instacart.careers/job/?gh_jid=7951036",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Software Engineer, Data Governance & Foundations United States - Remote We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward. If you're ready to do the best work of your life, come join our table. Instacart is a Flex First team There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work-whether it's from home, an office, or your favorite coffee shop-while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Data Governance & Foundations team builds and operates the core systems that power the company's data ecosystem - a modern data lakehouse at scale, spanning ingestion, stream processing, analytical compute, and self-serve tooling. You'll join a collaborative team of 6-7 engineers responsible for keeping a highly reliable production platform running today",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 5,
      "years_experience_max": 9,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "945d51505f8503c4c6228b295a354f4e",
      "title": "Staff Software Engineer-Backend",
      "employer_name": "Cameo",
      "employer_slug": "cameo",
      "location_text": "US- Downtown Chicago HQ",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": 175000,
      "salary_max": 215000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 175000,
      "base_salary_max": 215000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-06-04T15:36:17.000Z",
      "apply_url": "https://job-boards.greenhouse.io/cameo/jobs/7763653003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer-Backend US- Downtown Chicago HQ Staff Software Engineer, Backend At Cameo, we make impossible connections possible. Our platform allows fans to get personalized messages from their favorite comedians, actors, athletes, and more.... not gonna lie, it's pretty magical. And now we're looking for passionate, hardworking humans to help take Cameo to the next level. 🚀 Our #Fameo means everything to us. Join a stellar team of smart, curious, and driven individuals, and experience working at a globally known consumer startup. 📈 Best in class . We've been named one of LinkedIn's Top 50 Startups to Work For, voted one of America's Best Startup Employers by Forbes, and the #1 Most Innovative Social Media Company by Fast Company. 💰Get all good stuff. Health insurance, 401(K), Fun work environment at our Downtown Chicago Headquarters, and opportunities to meet Cameo Talent! Come to work every day knowing your efforts will have a material impact, shaping the direction of the next outstanding tech company! About the role: You will set the technical direction for the backend platform that connects fans and talent to create the perfect video shoutout; and you'll make it fast, reliable, and ready for the next order of magnitude of scale. This is a hands-on leadership role: you'll architect the core services behind our website and mobile app, own the hardest distributed-systems and data problems, and raise the engineering bar for the teams around you. As a staff backend engineer, you'll go deep on our backend (node.js) and data",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 47,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "b82e6a829aea787e75f0fd7412c91f73",
      "title": "Staff Software Engineer, Data Infrastructure",
      "employer_name": "Maplebear Inc.",
      "employer_slug": "maplebear",
      "location_text": "United States - Remote",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 3,
      "salary_min": 221000,
      "salary_max": 233000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 221000,
      "base_salary_max": 233000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-03T18:34:37.000Z",
      "apply_url": "https://instacart.careers/job/?gh_jid=7778618",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Staff Software Engineer, Data Infrastructure United States - Remote We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we're building the team to help push our shopping cart forward. If you're ready to do the best work of your life, come join our table. Instacart is a Flex First team There's no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work-whether it's from home, an office, or your favorite coffee shop-while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacarts Data Infrastructure organization builds and operates the systems that power our company's data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data. We're looking for",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "staff_plus",
      "years_experience_min": 10,
      "years_experience_max": 12,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": true,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "doctorate",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "bbf0d8f15d2e710ee3eff9535909ec0b",
      "title": "Senior Product Engineer, Rocket Ready",
      "employer_name": "Truebill",
      "employer_slug": "truebill",
      "location_text": "San Francisco, CA, Washington, D.C., New York City, N.Y., Remote (USA)",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "remote",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 0,
      "timezone_overlap_hours": 6,
      "salary_min": 150000,
      "salary_max": 185000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 150000,
      "base_salary_max": 185000,
      "salary_disclosed": true,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": true,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-01-08T22:17:23.000Z",
      "apply_url": "https://job-boards.greenhouse.io/truebill/jobs/7583320003",
      "apply_url_verified": false,
      "ats": "custom_structured",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Product Engineer, Rocket Ready San Francisco, CA, Washington, D.C., New York City, N.Y., Remote (USA) The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) 1-2x per week. ABOUT ROCKET MONEY 🔮 Rocket Money's mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 📋 The Rocket Ready team helps clients improve their readiness for homeownership, through a collaboration between Rocket Money and Rocket Mortgage. We build technology and solutions that empower both our clients, and the internal teams who work directly with them. Some of the key products we support include: - User-facing public web applications and CRM for clients interested in home ownership. - Internal tools to improve the efficiency of licensed mortgage bankers and consultants. - Data pipelines for receiving, enriching, and operationalizing data across the company. Our platform is a bit over a year old, and much of our work is greenfield development on applications we've built as a small team. At the same time, we interact extensively with existing systems within our larger parent organization. As a result, our days are usually a healthy mix of deep, focused development, alongside collaboration with teams across the company. A (non-exhaustive) list of a few technologies we work",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": true,
      "sabbatical_eligible": false,
      "family_friendly_score": 52,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 55,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "def132c4c4c709f27a044ff30e23d8ff",
      "title": "Senior Site Reliability Engineer, Lithuania",
      "employer_name": "DriveWealth",
      "employer_slug": "drivewealth",
      "location_text": "Office - Lithuania",
      "country": "LT",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": 45000,
      "salary_max": 60000,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "EUR",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": "year",
      "base_salary_min": 45000,
      "base_salary_max": 60000,
      "salary_disclosed": true,
      "equity_included": true,
      "equity_included_source": null,
      "equity_type": [
        "options"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [
        "cbinsights_unicorn"
      ],
      "posted_at": "2026-02-10T12:14:20.000Z",
      "apply_url": "https://boards.greenhouse.io/drivewealth/jobs/7626399003?gh_jid=7626399003",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Site Reliability Engineer, Lithuania Office - Lithuania About Us DriveWealth is on a mission to make investing easier. We believe that everyone should have the ability to control their financial future, and that access to financial markets should not be limited by geography, wealth, or legacy systems. We are a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. Our mission is realized through an API-based platform, empowering our partners to offer seamless investing and trading experiences to clients worldwide, all from their mobile devices. Our technology provides partners with a modern, extensible toolkit, enabling traditional investment workflows and innovative techniques like fractional share ownership. DriveWealth has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options. There's never been a better time to build a category-defining business and there has rarely been a team better positioned for this opportunity. Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We encourage creativity and experimentation while ensuring institutional-grade execution and regulatory compliance in everything we do. Join us and help build the future of global investing! Location: Lithuania (Hybrid) Hours: Rotational coverage to support a 7/24 environment. About the Role As a Senior Site Reliability Engineer based in Lithuania, you will enhance the reliability and performance of our Brokerage-as-a-Service platform during critical 7/24 operations. This role demands a proactive approach to managing technical challenges and system",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 43,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": "51-200",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": true,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "2d4d3c754aac7590aa738b0573bf2f4f",
      "title": "Manager, Enterprise Data Engineering",
      "employer_name": "Domino's",
      "employer_slug": "domino-s",
      "location_text": "Ann Arbor, MI, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": "yes",
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_match_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "k401_contribution_source_url": "https://www.askebsa.dol.gov/FOIA%20Files/2024/Latest/F_SCH_H_2024_Latest.zip",
      "k401_contribution_source_fields": [
        "EMPLR_CONTRIB_INCOME_AMT"
      ],
      "profit_sharing": false,
      "bonus_offered": true,
      "mental_health_support": true,
      "childcare_subsidy": true,
      "fertility_family_building_benefits": true,
      "adoption_assistance_offered": true,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-12T10:25:24.000Z",
      "apply_url": "https://jobs.smartrecruiters.com/Dominos/744000131353256-manager-enterprise-data-engineering-",
      "apply_url_verified": false,
      "ats": "smartrecruiters",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Manager, Enterprise Data Engineering Ann Arbor, MI, United States Company Description: Domino's Pizza, which began in 1960 as a single store location in Ypsilanti, MI, has had a lot to celebrate lately: we're a reshaped, reenergized brand of honesty, transparency and accountability - not to mention, great food! In the rise to becoming a true technology leader, the brand is now consistently one of the top five companies in online transactions and 85% of our sales in the U.S. are taken through digital channels. The brand continues to 'deliver the dream' to local business owners, 90% of which started as delivery drivers and pizza makers in our stores. That's just the tip of the iceberg…or as we might say, one “slice” of the pie! If this sounds like a brand you'd like to be a part of, consider joining our team! Job Description: You are a technical engineering leader first. You can architect an end-to-end streaming solution, debug a complex Spark job in production, and present a data strategy roadmap to VPs - all in the same week. You don't just manage engineers; you make them better. You set the technical bar, own critical data domains, and serve as the go-to authority when the hardest problems land on the table. You will design, build, and scale the data pipelines that power Domino's - integrating batch and real-time data across Digital Commerce, Marketing, Supply Chain, and Finance to deliver trusted, high-quality data products that drive decisions at every level of the",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": true,
      "benefit_last_verified": "2026-06-13T01:18:42.546Z",
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 8,
      "years_experience_max": 9,
      "role_function": "data",
      "employer_industry": "Retail",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "67c10d23354568220cf7b52d68588195",
      "title": "SQL Operations Engineer",
      "employer_name": "Lendingtree",
      "employer_slug": "lendingtree",
      "location_text": "Charlotte, NC, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "hybrid",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": 2,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "USD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-04T16:41:40.000Z",
      "apply_url": "https://job-boards.greenhouse.io/lendingtree/jobs/7615761",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "SQL Operations Engineer Charlotte, NC, United States PLEASE NOTE: This position ideally works a hybrid schedule in Charlotte, NC. (Tuesday-Thursday in-office). Strong preference for candidates who are in Charlotte, NC, or willing to relocate. About the Role LendingTree is seeking a SQL Operations Engineer to join our Platform Operations team. You will automate, scale, and support our cloud-based data ecosystem (Snowflake, AWS/Azure). This is a hands-on role focused on eliminating operational toil through CI/CD, robust monitoring, and automation-first engineering. Key Responsibilities Snowflake Administration: Manage environments, security policies (RBAC), and performance tuning; optimize cost and query efficiency. Platform Automation: Build and maintain CI/CD pipelines for database deployments using GitLab and tools like Liquibase or Red Gate. Cloud Integration: Support integrations between Snowflake and AWS/Azure services, including object storage, messaging, and serverless functions (Lambda/Azure Functions). Pipeline & Streaming Ops: Maintain batch and streaming (Confluent Kafka) architectures; troubleshoot ETL/ELT failures and ensure data observability. Security & Reliability: Implement logging, auditing, and IAM controls; participate in incident response and root cause analysis (RCA). Collaboration: Partner with Data Engineering and Stakeholders to translate business needs into scalable technical solutions. Required Qualifications Expertise: Deep hands-on experience with Snowflake administration and database performance tuning. Cloud & DevOps: Proficiency in AWS or Azure and building CI/CD pipelines for data platforms. Data Flow: Experience supporting Kafka (streaming) and ETL/ELT workflows. Technical Skills: Strong scripting skills (Python, SQL, or Bash) and familiarity with Git-based workflows. Troubleshooting: Proven ability to diagnose complex issues across distributed cloud systems. Preferred Qualifications Experience with",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 3,
      "years_experience_max": 7,
      "role_function": "data",
      "employer_industry": "Finance",
      "employer_size": "5000+",
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": [
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.1432c1a4a5c8d81db2",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "67c10d23354568220cf7b52d68588195",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description matched \"confluent\" from your search.",
          "source_binding": "bm25_field_evidence",
          "source_field": "description_excerpt",
          "source_value": "SQL Operations Engineer Charlotte, NC, United States PLEASE NOTE: This position ideally works a hybrid schedule in Charlotte, NC. (Tuesday-Thursday in-office). Strong preference for candidates who are in Charlotte, NC, or willing to relocate. About the Role LendingTree is seeking a SQL Operations Engineer to join our Platform Operations team. You will automate, scale, and support our cloud-based data ecosystem (Snowflake, AWS/Azure). This is a hands-on role focused on eliminating operational toil through CI/CD, robust monitoring, and automation-first engineering. Key Responsibilities Snowflake Administration: Manage environments, security policies (RBAC), and performance tuning; optimize cost and query efficiency. Platform Automation: Build and maintain CI/CD pipelines for database deployments using GitLab and tools like Liquibase or Red Gate. Cloud Integration: Support integrations between Snowflake and AWS/Azure services, including object storage, messaging, and serverless functions (Lambda/Azure Functions). Pipeline & Streaming Ops: Maintain batch and streaming (Confluent Kafka) architectures; troubleshoot ETL/ELT failures and ensure data observability. Security & Reliability: Implement logging, auditing, and IAM controls; participate in incident response and root cause analysis (RCA). Collaboration: Partner with Data Engineering and Stakeholders to translate business needs into scalable technical solutions. Required Qualifications Expertise: Deep hands-on experience with Snowflake administration and database performance tuning. Cloud & DevOps: Proficiency in AWS or Azure and building CI/CD pipelines for data platforms. Data Flow: Experience supporting Kafka (streaming) and ETL/ELT workflows. Technical Skills: Strong scripting skills (Python, SQL, or Bash) and familiarity with Git-based workflows. Troubleshooting: Proven ability to diagnose complex issues across distributed cloud systems. Preferred Qualifications Experience with",
          "matched_input": "confluent",
          "derivation_source": "candidate_result.raw_match_evidence",
          "candidate_evidence_id": "ev:gq_b105c50b0ce8c9d80b45:67c10d23354568220cf7b52d68588195:description:confluent",
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "candidate_evidence_exists",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 90,
          "mobile_priority": 1,
          "ui": {
            "icon": "Search",
            "tone": "match",
            "href": null
          }
        },
        {
          "schema_version": "inv382.match_signal.v1",
          "signal_id": "sig.query.description_excerpt.b8567c00b9cd250481",
          "query_id": "gq_b105c50b0ce8c9d80b45",
          "job_id": "67c10d23354568220cf7b52d68588195",
          "signal_type": "query_match",
          "display_text": "Description: \"confluent\"",
          "tooltip": "Description contains \"confluent\" from your search.",
          "source_binding": "token_match",
          "source_field": "description_excerpt",
          "source_value": "SQL Operations Engineer Charlotte, NC, United States PLEASE NOTE: This position ideally works a hybrid schedule in Charlotte, NC. (Tuesday-Thursday in-office). Strong preference for candidates who are in Charlotte, NC, or willing to relocate. About the Role LendingTree is seeking a SQL Operations Engineer to join our Platform Operations team. You will automate, scale, and support our cloud-based data ecosystem (Snowflake, AWS/Azure). This is a hands-on role focused on eliminating operational toil through CI/CD, robust monitoring, and automation-first engineering. Key Responsibilities Snowflake Administration: Manage environments, security policies (RBAC), and performance tuning; optimize cost and query efficiency. Platform Automation: Build and maintain CI/CD pipelines for database deployments using GitLab and tools like Liquibase or Red Gate. Cloud Integration: Support integrations between Snowflake and AWS/Azure services, including object storage, messaging, and serverless functions (Lambda/Azure Functions). Pipeline & Streaming Ops: Maintain batch and streaming (Confluent Kafka) architectures; troubleshoot ETL/ELT failures and ensure data observability. Security & Reliability: Implement logging, auditing, and IAM controls; participate in incident response and root cause analysis (RCA). Collaboration: Partner with Data Engineering and Stakeholders to translate business needs into scalable technical solutions. Required Qualifications Expertise: Deep hands-on experience with Snowflake administration and database performance tuning. Cloud & DevOps: Proficiency in AWS or Azure and building CI/CD pipelines for data platforms. Data Flow: Experience supporting Kafka (streaming) and ETL/ELT workflows. Technical Skills: Strong scripting skills (Python, SQL, or Bash) and familiarity with Git-based workflows. Troubleshooting: Proven ability to diagnose complex issues across distributed cloud systems. Preferred Qualifications Experience with",
          "matched_input": "confluent",
          "derivation_source": "row_field",
          "candidate_evidence_id": null,
          "rerank_evidence_id": null,
          "taxonomy_alias_id": null,
          "oracle_verification_method": "row_field_contains",
          "counts_for_non_trivial_query": true,
          "truth_verified": true,
          "exact": true,
          "priority": 80,
          "mobile_priority": 2,
          "ui": {
            "icon": "SearchCheck",
            "tone": "match",
            "href": null
          }
        }
      ]
    },
    {
      "id": "ab8c85994e6946f4e63b5cb79fb2daf3",
      "title": "Senior Data Engineer, Data Infrastructure",
      "employer_name": "Shift4",
      "employer_slug": "shift4",
      "location_text": "Herzliya, Tel Aviv District, Israel",
      "country": "IL",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-04-20T12:49:02.000Z",
      "apply_url": "https://job-boards.greenhouse.io/shift4/jobs/5108869007",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Senior Data Engineer, Data Infrastructure Herzliya, Tel Aviv District, Israel Overview Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com . Shift4 is looking for a Senior Data Engineer to join our Data Platform team. We are seeking a hands-on individual with experience in building and scaling modern data infrastructure, passionate about exploring AI technologies and applying them to enhance and evolve our data systems. This role is ideal for someone focused on data systems, performance, automation, and reliability, who will design, build, and maintain core components of our data pipelines, storage, monitoring, and observability stack, with a strong focus on improving workflows and system capabilities, while embracing the Shift4 way. Responsibilities: - Build and maintain scalable, reliable, and high-performance data infrastructure across cloud and on-prem environments - Partner with engineering, analytics, and observability teams to support data flow from ingestion to consumption - Develop infrastructure as code and automation tools to improve deployment, monitoring, and recovery - Help troubleshoot performance bottlenecks and reliability issues in large-scale data pipelines - Implement data quality processes aligned with security standards to ensure accuracy, consistency, and compliance with financial regulations and PCI requirements. - Continuously improve the performance and efficiency of the data platform with proactive tuning and benchmarking - Proactively explore and apply AI tools to enhance efficiency across",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "senior",
      "years_experience_min": 7,
      "years_experience_max": 11,
      "role_function": "data",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "none",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "ea7b7483a20b07af6b55560f7117703b",
      "title": "Principal Solution Architect - PLM",
      "employer_name": "Mattel",
      "employer_slug": "mattel",
      "location_text": "El Segundo, CALIFORNIA, United States",
      "country": "US",
      "employment_type": "unknown",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 6,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "CAD",
      "salary_type": "base",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-06-10T03:52:15.000Z",
      "apply_url": "https://jobs.smartrecruiters.com/MattelInc/744000119459086-principal-solution-architect-plm-",
      "apply_url_verified": false,
      "ats": "smartrecruiters",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Principal Solution Architect - PLM El Segundo, CALIFORNIA, United States Company Description: CREATIVITY IS OUR SUPERPOWER. It's our heritage and it's also our future. Because we don't just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard-when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers. Job Description: The Opportunity: We are seeking a highly experienced and strategic Senior Solution Architect with a strong background in product development to lead the design and implementation of robust, scalable, and innovative technology solutions. This role bridges business strategy and technical execution, driving architecture decisions and guiding engineering teams through the full product lifecycle. What Your Impact Will Be: Architect end-to-end solutions for complex product development initiatives that meet business goals and technical requirements. Document design documents with component relationships, dependencies at a cross-portfolio level, integrations, logical data model, etc. on platforms like Windchill, Oracle, OCI, GCP, etc. Define and maintain architecture blueprints, technical roadmaps, and solution patterns across multiple products. Drive technical innovation and best practices in system design, performance, security, scalability, and maintainability. Collaborate closely with product managers, engineering leads, and stakeholders to understand business objectives and translate them into scalable technical designs.",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "principal",
      "years_experience_min": 10,
      "years_experience_max": null,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": 25,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "masters",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    },
    {
      "id": "e1b7bbf5903813f78fd0ee09bd3e38d2",
      "title": "Cloud Engineer - GCP & Databricks",
      "employer_name": "Valtech",
      "employer_slug": "valtech",
      "location_text": "Bengaluru",
      "country": "IN",
      "employment_type": "full_time",
      "remote_status": "unspecified",
      "remote_status_source": null,
      "remote_status_enriched_at": null,
      "days_in_office": null,
      "timezone_overlap_hours": 3,
      "salary_min": null,
      "salary_max": null,
      "salary_min_source": null,
      "salary_max_source": null,
      "salary_currency": "UNSPECIFIED",
      "salary_type": "unknown",
      "salary_type_source": null,
      "salary_type_enriched_at": null,
      "salary_period": null,
      "base_salary_min": null,
      "base_salary_max": null,
      "salary_disclosed": false,
      "equity_included": false,
      "equity_included_source": null,
      "equity_type": [
        "none"
      ],
      "k401_match": null,
      "match_401k_pct": null,
      "match_401k_pct_source": null,
      "k401_match_source_url": null,
      "k401_match_source_fields": [],
      "k401_contribution_source_url": null,
      "k401_contribution_source_fields": [],
      "profit_sharing": false,
      "bonus_offered": false,
      "mental_health_support": null,
      "childcare_subsidy": null,
      "fertility_family_building_benefits": null,
      "adoption_assistance_offered": null,
      "surrogacy_assistance_offered": null,
      "student_loan_repayment_offered": null,
      "learning_budget_offered": null,
      "relocation_assistance": null,
      "top_startup_sources": [],
      "posted_at": "2026-05-04T13:00:43.000Z",
      "apply_url": "https://job-boards.eu.greenhouse.io/valtech/jobs/4857270101",
      "apply_url_verified": false,
      "ats": "greenhouse",
      "url_last_checked_alive": null,
      "removed_at": null,
      "description_excerpt": "Cloud Engineer - GCP & Databricks Bengaluru Why Valtech? We're the experience innovation company - a trusted partner to the world's most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you'll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: - The work we do and the innovation we drive - Our values of share, care a nd dare - A workplace culture that fosters creativity, diversity and autonomy - Our borderless, global framework, which enables seamless collaboration The role As a Cloud Engineer , you are passionate about experience innovation and eager to push the boundaries of what's possible. You bring 6 + YEARS of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: - A curious problem solver who challenges the status quo - A collaborator who values teamwork and knowledge-sharing - Excited by the intersection of technology, creativity and data - Experienced in Agile methodologies and consulting (a plus) Role responsibilities - Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run - Build and maintain data pipelines - batch and streaming -",
      "parental_leave_weeks": null,
      "non_birth_parent_leave_weeks": null,
      "parental_leave_weeks_source": null,
      "non_birth_parent_leave_weeks_source": null,
      "parental_leave_source_url": null,
      "pto_days": null,
      "unlimited_pto": false,
      "sabbatical_eligible": false,
      "family_friendly_score": 40,
      "benefit_verified": false,
      "benefit_last_verified": null,
      "hire_states_allowed": [],
      "state_eligibility_source": null,
      "state_eligibility_enriched_at": null,
      "llm_quality_pass_at": null,
      "seniority": "mid",
      "years_experience_min": 6,
      "years_experience_max": 7,
      "role_function": "engineering",
      "employer_industry": null,
      "employer_size": null,
      "quality_score": 45,
      "travel_pct": null,
      "requires_shift": null,
      "shift_type": "unknown",
      "shift_type_source": null,
      "weekend_work": "unknown",
      "weekend_work_source": null,
      "relocation_assistance_source": null,
      "contractor_w2": "unknown",
      "required_timezone": null,
      "fertility_family_building_benefits_source": null,
      "mental_health_support_source": null,
      "adoption_assistance_offered_source": null,
      "childcare_subsidy_source": null,
      "learning_budget_offered_source": null,
      "surrogacy_assistance_offered_source": null,
      "cover_letter_required": null,
      "cover_letter_required_source": null,
      "assessment_required": null,
      "assessment_required_source": null,
      "application_deadline": null,
      "application_deadline_source": null,
      "visa_sponsorship": false,
      "us_citizenship_required": false,
      "security_clearance": "none",
      "education_required": "bachelors",
      "roll_up_count": null,
      "roll_up_total_locations": null,
      "explanations": []
    }
  ],
  "total": 55,
  "page": 1,
  "per_page": 100,
  "applied_filters": {
    "q": "Confluent",
    "quality_floor": "all"
  },
  "hidden_unknown_benefits_count": 0,
  "hidden_quality_floor_count": 0,
  "quality_floor": "all",
  "search_profile": {
    "profile_id": "inv382.d6.pg_textsearch_bge_small_rrf.v1",
    "bm25_extension": "pg_textsearch",
    "vector_model": "BAAI/bge-small-en-v1.5",
    "vector_model_version": "v1.5",
    "fusion_method": "rrf"
  },
  "explanation_context": {
    "non_trivial_query": false,
    "query_terms": [
      "confluent"
    ],
    "active_filter_keys": [],
    "visible_signal_limit": 3,
    "visible_trust_limit": 2
  },
  "event_context": null
}