{ "results": [ { "id": "27b28ebaeb40ca7ad71c84f896e37d29", "title": "Data Engineer", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Solihull, England, United Kingdom", "country": "GB", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-05-28T12:48:11.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4877514101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Data Engineer Solihull, England, United Kingdom OVERVIEW: At Gymshark, data is at the core of how we move - from powering decisions to unlocking better experiences for our community. We're looking for a Data Engineer to help build and scale the foundations that drive our data ecosystem. This is an opportunity to work on modern, event-driven data platforms , enabling teams across the business to access high-quality, reliable data that fuels growth, innovation, and customer impact. You'll play a key role in shaping how we structure, transform, and deliver data - building resilient pipelines, improving data quality, and collaborating across engineering, analytics, and business teams to drive real value. WHAT YOU'LL BE DOING: - Build and maintain scalable, automated, event-driven data pipelines and data models - Design and implement ETL/ELT processes, ensuring data is clean, accurate, and accessible - Manage data integrations, imports/exports, and audience segmentation across platforms - Monitor and optimise existing data pipelines, ensuring performance and reliability - Collaborate with Software Engineering, Systems teams, and Data Governance to improve data quality and reduce technical debt - Work with third-party partners and platforms to enhance data capabilities - Take ownership of data governance and privacy best practices, ensuring compliance and responsible usage - Support the business by ensuring teams have access to accurate, usable data to drive decisions WHAT YOU'LL NEED: Essential Criteria: - Proven experience in data engineering and modern development practices (2+ years) - Strong expertise in Python, SQL, and relational databases (RDBMS) - Experience building 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": 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": "data", "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.97a2718f36e0cff680", "query_id": "gq_2de282e00c8596b9b962", "job_id": "27b28ebaeb40ca7ad71c84f896e37d29", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Data Engineer Solihull, England, United Kingdom OVERVIEW: At Gymshark, data is at the core of how we move - from powering decisions to unlocking better experiences for our community. We're looking for a Data Engineer to help build and scale the foundations that drive our data ecosystem. This is an opportunity to work on modern, event-driven data platforms , enabling teams across the business to access high-quality, reliable data that fuels growth, innovation, and customer impact. You'll play a key role in shaping how we structure, transform, and deliver data - building resilient pipelines, improving data quality, and collaborating across engineering, analytics, and business teams to drive real value. WHAT YOU'LL BE DOING: - Build and maintain scalable, automated, event-driven data pipelines and data models - Design and implement ETL/ELT processes, ensuring data is clean, accurate, and accessible - Manage data integrations, imports/exports, and audience segmentation across platforms - Monitor and optimise existing data pipelines, ensuring performance and reliability - Collaborate with Software Engineering, Systems teams, and Data Governance to improve data quality and reduce technical debt - Work with third-party partners and platforms to enhance data capabilities - Take ownership of data governance and privacy best practices, ensuring compliance and responsible usage - Support the business by ensuring teams have access to accurate, usable data to drive decisions WHAT YOU'LL NEED: Essential Criteria: - Proven experience in data engineering and modern development practices (2+ years) - Strong expertise in Python, SQL, and relational databases (RDBMS) - Experience building and", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:27b28ebaeb40ca7ad71c84f896e37d29:description:gymshark", "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.2f76a086309559da88", "query_id": "gq_2de282e00c8596b9b962", "job_id": "27b28ebaeb40ca7ad71c84f896e37d29", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:27b28ebaeb40ca7ad71c84f896e37d29:employer:gymshark", "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.28b22a6b60917b19b2", "query_id": "gq_2de282e00c8596b9b962", "job_id": "27b28ebaeb40ca7ad71c84f896e37d29", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:4634a2e660844b4f30efaca4", "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.cc13e9c06d7cdd4793", "query_id": "gq_2de282e00c8596b9b962", "job_id": "27b28ebaeb40ca7ad71c84f896e37d29", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "736815b470875b9759ba6625a20b67e4", "title": "Product Developer", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Solihull, England, United Kingdom", "country": "GB", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-05-22T12:16:14.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4873887101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Developer Solihull, England, United Kingdom THE ROLE. As a Product Developer (Menswear) , you are responsible for managing the execution of styles from concept to launch, bringing to market world-class, fit-for-purpose product built and engineered to Gymshark standards. You will play a critical role in delivering high-quality, technically robust product, using your expertise to support the creation of innovative and performance-driven menswear collections. Partnering closely with Design, Materials, Sourcing, and Technical teams, you will ensure products are developed in line with seasonal strategies, commercial targets, and brand expectations. You will operate with a high level of ownership across your categories, ensuring consistency in fit, construction, and quality while contributing to a culture of collaboration and continuous improvement. WHAT YOU'LL BE DOING. - Managing the development of menswear styles from concept through to launch, in line with the Product Creation Calendar and Critical Path timelines. - Leading fit sessions and proto reviews, ensuring clear and concise communication of fit and construction amendments to cross-functional teams and vendors. - Owning garment execution, ensuring compliance with measurements, quality, construction, fit, and consistency in line with Gymshark standards, manuals, and minimum make guidelines. - Developing and finalising Tech Packs, including signing off Bills of Materials (BOM), ensuring all technical documentation (testing, safety, legal) is completed and accurately maintained within PLM systems. - Collaborating closely with Design to ensure products align with creative vision while delivering commercially viable and technically sound solutions. - Providing input into construction methods and recommending improvements to enhance product", "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": "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.69d92a5f38d527f871", "query_id": "gq_2de282e00c8596b9b962", "job_id": "736815b470875b9759ba6625a20b67e4", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Product Developer Solihull, England, United Kingdom THE ROLE. As a Product Developer (Menswear) , you are responsible for managing the execution of styles from concept to launch, bringing to market world-class, fit-for-purpose product built and engineered to Gymshark standards. You will play a critical role in delivering high-quality, technically robust product, using your expertise to support the creation of innovative and performance-driven menswear collections. Partnering closely with Design, Materials, Sourcing, and Technical teams, you will ensure products are developed in line with seasonal strategies, commercial targets, and brand expectations. You will operate with a high level of ownership across your categories, ensuring consistency in fit, construction, and quality while contributing to a culture of collaboration and continuous improvement. WHAT YOU'LL BE DOING. - Managing the development of menswear styles from concept through to launch, in line with the Product Creation Calendar and Critical Path timelines. - Leading fit sessions and proto reviews, ensuring clear and concise communication of fit and construction amendments to cross-functional teams and vendors. - Owning garment execution, ensuring compliance with measurements, quality, construction, fit, and consistency in line with Gymshark standards, manuals, and minimum make guidelines. - Developing and finalising Tech Packs, including signing off Bills of Materials (BOM), ensuring all technical documentation (testing, safety, legal) is completed and accurately maintained within PLM systems. - Collaborating closely with Design to ensure products align with creative vision while delivering commercially viable and technically sound solutions. - Providing input into construction methods and recommending improvements to enhance product", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:736815b470875b9759ba6625a20b67e4:description:gymshark", "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.c51e3a8aaa8bd7883e", "query_id": "gq_2de282e00c8596b9b962", "job_id": "736815b470875b9759ba6625a20b67e4", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:736815b470875b9759ba6625a20b67e4:employer:gymshark", "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.41dd778d2f8d61c82a", "query_id": "gq_2de282e00c8596b9b962", "job_id": "736815b470875b9759ba6625a20b67e4", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:928d1240f6a848b984dff591", "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.ea4e1583ac761b637a", "query_id": "gq_2de282e00c8596b9b962", "job_id": "736815b470875b9759ba6625a20b67e4", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "9a00feb55bc7c54d13c2800da7028b88", "title": "Senior Android Engineer", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Solihull, England, United Kingdom", "country": "GB", "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": 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": "2026-05-13T11:53:39.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4863674101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Android Engineer Solihull, England, United Kingdom OVERVIEW: Working in the Mobile Engineering team, this role exists to set the bar for creating quality, scalable digital solutions for Gymshark and its customers, with a focus on the mobile products. This is a hybrid position, working at our Solihull HQ for a minimum of 3 days per week. WHAT YOU'LL BE DOING: LEADERSHIP: - Mentors new starters and less Senior team members in the development of their roles - Coordinates design workshops & ensuring all engineers contribute - Prepares for situations or discussions in advance where requested - Takes accountability for their contribution towards the success of a given situation or discussion - Proactively brings formed decisions to Mobile Leads to reinforce their ideas to ensure they are on the right track - Steps in to move situations or discussions forward when they start to stall - Respects the input of people in other roles to their work and conversations - Actively fosters collaboration with peers in the team in the interest of quality and efficiency - Considers team goals when prioritising and making decisions - Makes a point of inviting input from more junior members of the team, and of creating opportunities for them to get involved - Strives to be objective and reflects on their own biases when making decisions - Holds themselves accountable for decisions and outcomes - Identifies and appropriately escalates perceived knowledge gaps of other team members and the team itself - Actively fosters collaboration 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": 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": 5, "years_experience_max": 9, "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.d62ac2340658810c0d", "query_id": "gq_2de282e00c8596b9b962", "job_id": "9a00feb55bc7c54d13c2800da7028b88", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Android Engineer Solihull, England, United Kingdom OVERVIEW: Working in the Mobile Engineering team, this role exists to set the bar for creating quality, scalable digital solutions for Gymshark and its customers, with a focus on the mobile products. This is a hybrid position, working at our Solihull HQ for a minimum of 3 days per week. WHAT YOU'LL BE DOING: LEADERSHIP: - Mentors new starters and less Senior team members in the development of their roles - Coordinates design workshops & ensuring all engineers contribute - Prepares for situations or discussions in advance where requested - Takes accountability for their contribution towards the success of a given situation or discussion - Proactively brings formed decisions to Mobile Leads to reinforce their ideas to ensure they are on the right track - Steps in to move situations or discussions forward when they start to stall - Respects the input of people in other roles to their work and conversations - Actively fosters collaboration with peers in the team in the interest of quality and efficiency - Considers team goals when prioritising and making decisions - Makes a point of inviting input from more junior members of the team, and of creating opportunities for them to get involved - Strives to be objective and reflects on their own biases when making decisions - Holds themselves accountable for decisions and outcomes - Identifies and appropriately escalates perceived knowledge gaps of other team members and the team itself - Actively fosters collaboration with", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:9a00feb55bc7c54d13c2800da7028b88:description:gymshark", "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.b61aa3cbb85be53d1d", "query_id": "gq_2de282e00c8596b9b962", "job_id": "9a00feb55bc7c54d13c2800da7028b88", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:9a00feb55bc7c54d13c2800da7028b88:employer:gymshark", "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.4d7132ae4d75fc9035", "query_id": "gq_2de282e00c8596b9b962", "job_id": "9a00feb55bc7c54d13c2800da7028b88", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e1f541a9f4606e46e04d423f", "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.536d3b8883e3da35b0", "query_id": "gq_2de282e00c8596b9b962", "job_id": "9a00feb55bc7c54d13c2800da7028b88", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "95737106d5abcd3d9f3ab2314cd91d29", "title": "Merchandise Planner (NAM)", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "New York, New York, 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": "base_plus_commission", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-03-31T08:39:59.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4827641101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Merchandise Planner (NAM) New York, New York, United States Overview At Gymshark, we move fast, think boldly and always put our community first. We're looking for a sharp, commercially minded Planner to drive our North America Accessories business from NYC. You'll own both preseason and in‑season planning, partnering closely with Merchandising, Allocation and cross‑functional teams to make sure we deliver the right product, at the right time, for our community. You'll also lead and develop one direct report , supporting their growth while driving strong commercial outcomes. What You'll Be Doing Preseason - Build seasonal sales, margin and inventory plans across all accessories categories. - Analyse prior performance to uncover trends, missed opportunities and key growth drivers. - Recommend style count, colour count and flow strategies to optimise profitability. - Summarise risks and opportunities and share insights in investment and commercial reviews. - Support the development and optimisation of assortment planning tools and processes. In Season - Deliver weekly business updates, calling out trends, risks and opportunities vs. forecast. - Build and maintain updated sales, margin and inventory forecasts; support monthly OTB. - Partner with Merchandising and Allocation to ensure strong receipt flow and in‑stock accuracy. - Manage weekly unit sales plans and identify product driving upside or headwinds. - Support markdown and promotional strategies with clear pricing and margin scenarios. What You'll Have Essential Skills & experience: - Demonstratable experience of merchandise planning, allocation, merchandising, financial planning, strategy or business analytics - Strong analytical, financial modeling and problem-solving skills", "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": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "operations", "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": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.c165bd572733cb610a", "query_id": "gq_2de282e00c8596b9b962", "job_id": "95737106d5abcd3d9f3ab2314cd91d29", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Merchandise Planner (NAM) New York, New York, United States Overview At Gymshark, we move fast, think boldly and always put our community first. We're looking for a sharp, commercially minded Planner to drive our North America Accessories business from NYC. You'll own both preseason and in‑season planning, partnering closely with Merchandising, Allocation and cross‑functional teams to make sure we deliver the right product, at the right time, for our community. You'll also lead and develop one direct report , supporting their growth while driving strong commercial outcomes. What You'll Be Doing Preseason - Build seasonal sales, margin and inventory plans across all accessories categories. - Analyse prior performance to uncover trends, missed opportunities and key growth drivers. - Recommend style count, colour count and flow strategies to optimise profitability. - Summarise risks and opportunities and share insights in investment and commercial reviews. - Support the development and optimisation of assortment planning tools and processes. In Season - Deliver weekly business updates, calling out trends, risks and opportunities vs. forecast. - Build and maintain updated sales, margin and inventory forecasts; support monthly OTB. - Partner with Merchandising and Allocation to ensure strong receipt flow and in‑stock accuracy. - Manage weekly unit sales plans and identify product driving upside or headwinds. - Support markdown and promotional strategies with clear pricing and margin scenarios. What You'll Have Essential Skills & experience: - Demonstratable experience of merchandise planning, allocation, merchandising, financial planning, strategy or business analytics - Strong analytical, financial modeling and problem-solving skills", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:95737106d5abcd3d9f3ab2314cd91d29:description:gymshark", "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.9b5f5ddc547264e3f9", "query_id": "gq_2de282e00c8596b9b962", "job_id": "95737106d5abcd3d9f3ab2314cd91d29", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:95737106d5abcd3d9f3ab2314cd91d29:employer:gymshark", "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.d434e32122c084e49d", "query_id": "gq_2de282e00c8596b9b962", "job_id": "95737106d5abcd3d9f3ab2314cd91d29", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:15ce0d2b37cd594bec9bda5c", "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.7b74a2e16388ac6be3", "query_id": "gq_2de282e00c8596b9b962", "job_id": "95737106d5abcd3d9f3ab2314cd91d29", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "b6eb330b51464e2ba42d1f593e862e6b", "title": "Stock Manager", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Solihull, England, United Kingdom", "country": "GB", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-06-05T09:13:29.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4884532101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Stock Manager Solihull, England, United Kingdom THE ROLE. We're looking for an experienced and highly commercial Stock Manager to take ownership of our global inventory across Gymshark. In this role, you'll lead the end‑to‑end accounting, control and operational management of stock, ensuring accuracy, strong governance and clear visibility across the business. You'll play a pivotal role in managing stock valuation, leading a high‑performing team, and partnering with key stakeholders across Finance, Sourcing and Operations to drive insight, control and continuous improvement. WHAT YOU'LL BE DOING. - Own the group's inventory position end‑to‑end, ensuring stock is accurately valued, controlled and reported across all entities - Lead, coach and develop a team of five, setting clear priorities and building capability across the function - Oversee the monthly stock reconciliation and valuation process, including landed cost allocation, standard costing, freight and duty matrices, FX impacts and GIT/GINR balances - Manage the stock AP process, ensuring accurate and timely invoice posting, successful three‑way matching, and resolution of supplier queries - Govern intercompany stock flows, ensuring transfer pricing is correctly applied and reconciled within the ERP system - Partner with third‑party logistics providers to ensure purchase order visibility and accurate inbound receipting, resolving root‑cause issues where required - Collaborate with Commercial Finance, FP&A and Sourcing on landed gross margin, stock costing analysis and cost drivers, providing clear insight and commentary - Strengthen the stock control environment, owning balance sheet reconciliations and acting as the key contact for audit and stock-related queries - Drive continuous improvement", "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": 5, "years_experience_max": 9, "role_function": "other", "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.063945fd7feb08a05c", "query_id": "gq_2de282e00c8596b9b962", "job_id": "b6eb330b51464e2ba42d1f593e862e6b", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Stock Manager Solihull, England, United Kingdom THE ROLE. We're looking for an experienced and highly commercial Stock Manager to take ownership of our global inventory across Gymshark. In this role, you'll lead the end‑to‑end accounting, control and operational management of stock, ensuring accuracy, strong governance and clear visibility across the business. You'll play a pivotal role in managing stock valuation, leading a high‑performing team, and partnering with key stakeholders across Finance, Sourcing and Operations to drive insight, control and continuous improvement. WHAT YOU'LL BE DOING. - Own the group's inventory position end‑to‑end, ensuring stock is accurately valued, controlled and reported across all entities - Lead, coach and develop a team of five, setting clear priorities and building capability across the function - Oversee the monthly stock reconciliation and valuation process, including landed cost allocation, standard costing, freight and duty matrices, FX impacts and GIT/GINR balances - Manage the stock AP process, ensuring accurate and timely invoice posting, successful three‑way matching, and resolution of supplier queries - Govern intercompany stock flows, ensuring transfer pricing is correctly applied and reconciled within the ERP system - Partner with third‑party logistics providers to ensure purchase order visibility and accurate inbound receipting, resolving root‑cause issues where required - Collaborate with Commercial Finance, FP&A and Sourcing on landed gross margin, stock costing analysis and cost drivers, providing clear insight and commentary - Strengthen the stock control environment, owning balance sheet reconciliations and acting as the key contact for audit and stock-related queries - Drive continuous improvement", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:b6eb330b51464e2ba42d1f593e862e6b:description:gymshark", "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.bed05227309a128e1c", "query_id": "gq_2de282e00c8596b9b962", "job_id": "b6eb330b51464e2ba42d1f593e862e6b", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:b6eb330b51464e2ba42d1f593e862e6b:employer:gymshark", "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.fee8af52dfcee9c802", "query_id": "gq_2de282e00c8596b9b962", "job_id": "b6eb330b51464e2ba42d1f593e862e6b", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:d656713aa7e51e2c67828f95", "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.1337a5a916497bceb7", "query_id": "gq_2de282e00c8596b9b962", "job_id": "b6eb330b51464e2ba42d1f593e862e6b", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "df0aef6b52818c56f945e305b9c95b69", "title": "Operations Manager", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Solihull, England, United Kingdom", "country": "GB", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-06-09T12:57:15.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4890421101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Operations Manager Solihull, England, United Kingdom THE ROLE. This role exists to own and elevate our global logistics network, ensuring we deliver a best-in-class experience for the Gymshark community, wherever they are in the world. Sitting at the heart of our supply chain, this role is key to driving operational excellence at pace - balancing performance, cost, and customer experience as we scale. You'll play a pivotal role in shaping how we fulfil globally; aligning logistics performance with Gymshark's bold growth ambitions, while continually challenging the status quo to unlock smarter, faster, and more agile ways of working. From peak trading to day-to-day execution, you'll ensure our network is built to flex, perform, and deliver - every time. This is an opportunity to make a tangible impact in a high-growth, fast-moving environment, where continuous improvement, strong partnerships, and doing the right thing for the customer are at the core of everything we do. WHAT YOU'LL BE DOING. - Deliver fulfilment objectives aligned to strategic priorities and evolving customer needs, ensuring consistent operational excellence - Evaluate and monitor 3PL partner performance, proactively collaborating to implement targeted improvement plans - Analyse 3PL labour models, cost structures, and service delivery, with a key focus on peak trading performance and scalability - Define, track, and report on Service Level Agreements (SLAs) and KPIs, ensuring clear visibility across internal stakeholders - Partner cross-functionally with teams such as Inbound Supply Chain and Delivery Solutions to ensure seamless end-to-end supply chain operations - Collaborate with internal 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": 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": 5, "years_experience_max": 9, "role_function": "operations", "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.1f36c2c8e2b8c1aa25", "query_id": "gq_2de282e00c8596b9b962", "job_id": "df0aef6b52818c56f945e305b9c95b69", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Operations Manager Solihull, England, United Kingdom THE ROLE. This role exists to own and elevate our global logistics network, ensuring we deliver a best-in-class experience for the Gymshark community, wherever they are in the world. Sitting at the heart of our supply chain, this role is key to driving operational excellence at pace - balancing performance, cost, and customer experience as we scale. You'll play a pivotal role in shaping how we fulfil globally; aligning logistics performance with Gymshark's bold growth ambitions, while continually challenging the status quo to unlock smarter, faster, and more agile ways of working. From peak trading to day-to-day execution, you'll ensure our network is built to flex, perform, and deliver - every time. This is an opportunity to make a tangible impact in a high-growth, fast-moving environment, where continuous improvement, strong partnerships, and doing the right thing for the customer are at the core of everything we do. WHAT YOU'LL BE DOING. - Deliver fulfilment objectives aligned to strategic priorities and evolving customer needs, ensuring consistent operational excellence - Evaluate and monitor 3PL partner performance, proactively collaborating to implement targeted improvement plans - Analyse 3PL labour models, cost structures, and service delivery, with a key focus on peak trading performance and scalability - Define, track, and report on Service Level Agreements (SLAs) and KPIs, ensuring clear visibility across internal stakeholders - Partner cross-functionally with teams such as Inbound Supply Chain and Delivery Solutions to ensure seamless end-to-end supply chain operations - Collaborate with internal and", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:df0aef6b52818c56f945e305b9c95b69:description:gymshark", "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.eb102221e547922314", "query_id": "gq_2de282e00c8596b9b962", "job_id": "df0aef6b52818c56f945e305b9c95b69", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:df0aef6b52818c56f945e305b9c95b69:employer:gymshark", "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.1b70cef40da5416359", "query_id": "gq_2de282e00c8596b9b962", "job_id": "df0aef6b52818c56f945e305b9c95b69", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3256f669fd35b50d805947b1", "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.5ccf12009d9a0411ab", "query_id": "gq_2de282e00c8596b9b962", "job_id": "df0aef6b52818c56f945e305b9c95b69", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "3c6f67b8fc45c6a4a4798db0adb9effc", "title": "Lead Engineer", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Solihull, England, United Kingdom", "country": "GB", "employment_type": "contract", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-05-22T15:39:18.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4874067101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Lead Engineer Solihull, England, United Kingdom OVERVIEW: This is a hands-on Lead Software Engineer role where you'll be writing code, designing integrations and solving hard technical problems day-to-day, driving the technical direction and improving how we do engineering across Platform Engineering. You'll be a recognised domain authority: shaping architectural vision, setting the technical bar, and actively elevating the engineers and leads around you. You will bring both strong backend engineering craft and the presence to make the whole team better through technical credibility, clear thinking, and a genuine investment in how the team grows and delivers WHAT YOU'LL BE DOING: Craft - Designs and documents clear architectural diagrams and key decision records that are accessible to both technical and non-technical audiences - Ensures the team is using suitable engineering practices, spotting knowledge gaps and helping adopt new and emerging best practices and tooling where appropriate - Enforces quality and testing best practices from design through to production - Articulates the value of addressing tech debt in terms that resonate with business stakeholders, and creates space to address it iteratively - Brings strong technical grounding with enough parity with the team to earn trust quickly, without the instinct to redesign systems from the ground up Delivery - Leads the delivery of scalable backend services leveraging Event Driven Architecture and AWS Serverless technologies: Lambda, EventBridge, SQS, DynamoDB - Leads the team to design and build APIs (REST & GraphQL) that support world-class customer-facing features - Has the toolkit to work on complex", "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": 5, "years_experience_max": 9, "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": "masters", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.employer_name.14b992e3a6a20058d3", "query_id": "gq_2de282e00c8596b9b962", "job_id": "3c6f67b8fc45c6a4a4798db0adb9effc", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:3c6f67b8fc45c6a4a4798db0adb9effc:employer:gymshark", "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.2a58d3d5d035f19902", "query_id": "gq_2de282e00c8596b9b962", "job_id": "3c6f67b8fc45c6a4a4798db0adb9effc", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f649fdfcd0d1299c16af039c", "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.232abbeda24328fe3f", "query_id": "gq_2de282e00c8596b9b962", "job_id": "3c6f67b8fc45c6a4a4798db0adb9effc", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "d413d34afbcda1ac0f170b30cf38dbb0", "title": "Visual Merchandising Floor Lead - Flagship Store", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "New York, New York, United States", "country": "US", "employment_type": "full_time", "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": "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": [ "cbinsights_unicorn" ], "posted_at": "2026-06-08T12:58:29.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4888888101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Visual Merchandising Floor Lead - Flagship Store New York, New York, United States OVERVIEW: At Gymshark, our mission is to Unite the Conditioning Community . Working in our Bond Street, New York City store store you'll play a pivotal part in bringing Gymshark to life, in real life. Our community and customers are our 'family', so we treat them as such. We don't care if they buy, browse, or just hang out. What matters is providing a safe space where everyone belongs and feels welcome. To thrive in this role, you must be passionate about the brand and our mission. You must inspire, guide and encourage the team to create a great experience for all who visit and will be responsible for supporting our Visual Merchandising WORKING HOURS : Full Time across early and late shifts, including some weekend working WHAT YOU'LL BE DOING: - - Creating appealing and eye-catching visual displays to demonstrate the range and of collections and activities that our product support. - Assessing current trends and finding innovative strategies of implementation. - New Product Drops in store ensuring we are cohesive with current trends and campaign alignment - To adapt the hanging fixtures and update the physical layout of our display rails. (Managing fixture placement and systems layout to accommodate commercial and campaign updates) - Ensuring the windows and displays are always merchandised with intent, cohesive with the function they support and styled in line with the brand direction. - Identify opportunities for signage to improve", "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": 5, "years_experience_max": 9, "role_function": "design", "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.d4d0e588907a2e69af", "query_id": "gq_2de282e00c8596b9b962", "job_id": "d413d34afbcda1ac0f170b30cf38dbb0", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Visual Merchandising Floor Lead - Flagship Store New York, New York, United States OVERVIEW: At Gymshark, our mission is to Unite the Conditioning Community . Working in our Bond Street, New York City store store you'll play a pivotal part in bringing Gymshark to life, in real life. Our community and customers are our 'family', so we treat them as such. We don't care if they buy, browse, or just hang out. What matters is providing a safe space where everyone belongs and feels welcome. To thrive in this role, you must be passionate about the brand and our mission. You must inspire, guide and encourage the team to create a great experience for all who visit and will be responsible for supporting our Visual Merchandising WORKING HOURS : Full Time across early and late shifts, including some weekend working WHAT YOU'LL BE DOING: - - Creating appealing and eye-catching visual displays to demonstrate the range and of collections and activities that our product support. - Assessing current trends and finding innovative strategies of implementation. - New Product Drops in store ensuring we are cohesive with current trends and campaign alignment - To adapt the hanging fixtures and update the physical layout of our display rails. (Managing fixture placement and systems layout to accommodate commercial and campaign updates) - Ensuring the windows and displays are always merchandised with intent, cohesive with the function they support and styled in line with the brand direction. - Identify opportunities for signage to improve", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:d413d34afbcda1ac0f170b30cf38dbb0:description:gymshark", "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.2c21a6352921b1d956", "query_id": "gq_2de282e00c8596b9b962", "job_id": "d413d34afbcda1ac0f170b30cf38dbb0", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:d413d34afbcda1ac0f170b30cf38dbb0:employer:gymshark", "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.46d2abe7869c1de968", "query_id": "gq_2de282e00c8596b9b962", "job_id": "d413d34afbcda1ac0f170b30cf38dbb0", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:2684d1ea307ec1e03e701ccc", "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.a0baf51bc73e6681d5", "query_id": "gq_2de282e00c8596b9b962", "job_id": "d413d34afbcda1ac0f170b30cf38dbb0", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "0da2299975d03f441e53431ee83c1133", "title": "Head of Design – Womenswear (12 month FTC)", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Solihull, England, United Kingdom", "country": "GB", "employment_type": "contract", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-05-29T10:39:08.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4878311101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Head of Design – Womenswear (12 month FTC) Solihull, England, United Kingdom Please note, this role is a 12 month Fixed Term Contract THE ROLE. This isn't just about designing great product, it's about defining the future of Womenswear at Gymshark. As Head of Design, you'll own the creative vision for one of our most important and fastest-growing categories. You'll lead from the front, inspiring teams, shaping direction, and delivering collections that are not only innovative and performance-led, but deeply connected to our community. You'll balance creativity with commerciality, bringing to life product that looks great, performs even better, and gives our customers a real reason to believe. WHAT YOU'LL BE DOING. Set the Vision - Define and lead the creative direction for Womenswear, from seasonal concepts to long-term strategy - Translate consumer, cultural, and market insights into a clear, distinctive product vision - Push boundaries in design, innovation, and performance Lead the Product - Own the end-to-end design process, from first idea through to finished product - Deliver standout collections and product stories that resonate globally - Raise the bar for quality, innovation, and brand consistency Build & Inspire Teams - Lead and develop a world-class Womenswear Design team - Create a high-performance culture rooted in creativity, ownership, and progression - Identify and nurture future talent, building a strong design pipeline Drive Commercial Impact - Partner closely with Product Buying to shape range architecture and pricing - Balance creativity with commercial outcomes, using data and insight to guide decisions", "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": "staff_plus", "years_experience_min": 8, "years_experience_max": 12, "role_function": "design", "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.9245d5b72ccce0abe5", "query_id": "gq_2de282e00c8596b9b962", "job_id": "0da2299975d03f441e53431ee83c1133", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Head of Design – Womenswear (12 month FTC) Solihull, England, United Kingdom Please note, this role is a 12 month Fixed Term Contract THE ROLE. This isn't just about designing great product, it's about defining the future of Womenswear at Gymshark. As Head of Design, you'll own the creative vision for one of our most important and fastest-growing categories. You'll lead from the front, inspiring teams, shaping direction, and delivering collections that are not only innovative and performance-led, but deeply connected to our community. You'll balance creativity with commerciality, bringing to life product that looks great, performs even better, and gives our customers a real reason to believe. WHAT YOU'LL BE DOING. Set the Vision - Define and lead the creative direction for Womenswear, from seasonal concepts to long-term strategy - Translate consumer, cultural, and market insights into a clear, distinctive product vision - Push boundaries in design, innovation, and performance Lead the Product - Own the end-to-end design process, from first idea through to finished product - Deliver standout collections and product stories that resonate globally - Raise the bar for quality, innovation, and brand consistency Build & Inspire Teams - Lead and develop a world-class Womenswear Design team - Create a high-performance culture rooted in creativity, ownership, and progression - Identify and nurture future talent, building a strong design pipeline Drive Commercial Impact - Partner closely with Product Buying to shape range architecture and pricing - Balance creativity with commercial outcomes, using data and insight to guide decisions", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:0da2299975d03f441e53431ee83c1133:description:gymshark", "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.f32f4bf0b46a90d6c4", "query_id": "gq_2de282e00c8596b9b962", "job_id": "0da2299975d03f441e53431ee83c1133", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:0da2299975d03f441e53431ee83c1133:employer:gymshark", "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.e1c53d639692671f1a", "query_id": "gq_2de282e00c8596b9b962", "job_id": "0da2299975d03f441e53431ee83c1133", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:61bd3b921346c97e0e5b5fe2", "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.1e8116d6ff4cc52c8f", "query_id": "gq_2de282e00c8596b9b962", "job_id": "0da2299975d03f441e53431ee83c1133", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "dd539d5a9cf7bfa5015bee3cbdcc4eb9", "title": "Visual Merchandiser - Full Time - Amsterdam", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "Amsterdam, North Holland, Netherlands", "country": "NL", "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": "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": 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": "2026-05-26T10:45:29.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4875224101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Visual Merchandiser - Full Time - Amsterdam Amsterdam, North Holland, Netherlands OVERVIEW: At Gymshark, our mission is to Unite the Conditioning Community . We do this by bringing together the Gymshark family - whether it be through a love of conditioning, wearing our product, following our Athletes or viewing content across our various social platforms. We're looking for a creative and commercially driven Visual Merchandiser to bring our brand to life in our Kalverstraat store in Amsterdam . You'll play a key role in shaping how customers experience the brand, delivering inspiring, inclusive, and visually impactful retail environments. From striking window displays to immersive in-store storytelling, you'll combine creativity with operational excellence to ensure our store stands out in one of Europe's busiest shopping destinations. WORKING HOURS : Full Time including some weekend YOU WILL : - Design and deliver impactful window displays and creative installations aligned with brand direction - Create a best-in-class in-store experience that reflects modern customer behaviour - Plan and execute visual merchandising updates for campaigns, launches, and events - React to global, local, and hyper-local trends to keep the store fresh and relevantLead, develop, and inspire a visual merchandising team in-store - Collaborate closely with Merchandising, Events, Retail Ops, and Training teams - Manage digital display content , ensuring relevance and functionality - Oversee all props, mannequins, and in-store displays , maintaining exceptional standards - Support store performance and KPIs by driving footfall and conversion through visual execution - Deliver training and best practice sharing", "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": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "design", "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.671db7530ef709d95a", "query_id": "gq_2de282e00c8596b9b962", "job_id": "dd539d5a9cf7bfa5015bee3cbdcc4eb9", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Visual Merchandiser - Full Time - Amsterdam Amsterdam, North Holland, Netherlands OVERVIEW: At Gymshark, our mission is to Unite the Conditioning Community . We do this by bringing together the Gymshark family - whether it be through a love of conditioning, wearing our product, following our Athletes or viewing content across our various social platforms. We're looking for a creative and commercially driven Visual Merchandiser to bring our brand to life in our Kalverstraat store in Amsterdam . You'll play a key role in shaping how customers experience the brand, delivering inspiring, inclusive, and visually impactful retail environments. From striking window displays to immersive in-store storytelling, you'll combine creativity with operational excellence to ensure our store stands out in one of Europe's busiest shopping destinations. WORKING HOURS : Full Time including some weekend YOU WILL : - Design and deliver impactful window displays and creative installations aligned with brand direction - Create a best-in-class in-store experience that reflects modern customer behaviour - Plan and execute visual merchandising updates for campaigns, launches, and events - React to global, local, and hyper-local trends to keep the store fresh and relevantLead, develop, and inspire a visual merchandising team in-store - Collaborate closely with Merchandising, Events, Retail Ops, and Training teams - Manage digital display content , ensuring relevance and functionality - Oversee all props, mannequins, and in-store displays , maintaining exceptional standards - Support store performance and KPIs by driving footfall and conversion through visual execution - Deliver training and best practice sharing", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:dd539d5a9cf7bfa5015bee3cbdcc4eb9:description:gymshark", "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.2bdf50f5711a449bcc", "query_id": "gq_2de282e00c8596b9b962", "job_id": "dd539d5a9cf7bfa5015bee3cbdcc4eb9", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:dd539d5a9cf7bfa5015bee3cbdcc4eb9:employer:gymshark", "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.fb96b51afeebaedfef", "query_id": "gq_2de282e00c8596b9b962", "job_id": "dd539d5a9cf7bfa5015bee3cbdcc4eb9", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:7e8b71b216bd0219786cd6f8", "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.94770e606f30d4765b", "query_id": "gq_2de282e00c8596b9b962", "job_id": "dd539d5a9cf7bfa5015bee3cbdcc4eb9", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "179af5fa6f24b4eae064c4b4c7465403", "title": "Floor Lead - Regent Street Store - FTC", "employer_name": "Gymshark", "employer_slug": "gymshark", "location_text": "London", "country": "GB", "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": "GBP", "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": [ "cbinsights_unicorn" ], "posted_at": "2026-05-08T14:30:46.000Z", "apply_url": "https://job-boards.eu.greenhouse.io/gymshark/jobs/4862674101", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Floor Lead - Regent Street Store - FTC London We are hiring a Floor Lead for our Flagship store in Regent Street! As a Floor Lead at Gymshark, you'll be an aspiring leader, driving store performance and ensuring that every customer experience reflects our brand's values of empowerment, inclusivity, and community. You'll lead by example, supporting your team in delivering exceptional service, product knowledge, and operational excellence. With a passion for fitness and fashion, you'll help coach and mentor your team, ensuring they are equipped to provide a seamless shopping experience. This is a 12-month FTC WHAT YOU'LL BE DOING: - Representing Gymshark's culture and values, acting as a passionate advocate for the brand and inspiring your team to do the same - Assisting with the day-to-day operations of the store, ensuring efficient execution of daily tasks and contributing to the store's strategic goals - Identifying growth opportunities within your team, providing in-the-moment coaching, feedback, and support to foster personal and professional development - Leading by example to achieve KPIs, driving team performance through motivation, leadership, and accountability - Be a role model for outstanding customer service, product knowledge, and operational excellence, ensuring every customer has an exceptional experience - Collaborating with store management to support execute initiatives and special projects that align with business goals and brand standards - Bring positivity, energy, and fun to the workplace, helping to create a motivated and engaged team environment - Supporting back-of-house operations, including stockroom organisation, inventory management, and product replenishment, to", "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": 5, "years_experience_max": 9, "role_function": "other", "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.eb1ad2fa405413ea03", "query_id": "gq_2de282e00c8596b9b962", "job_id": "179af5fa6f24b4eae064c4b4c7465403", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Floor Lead - Regent Street Store - FTC London We are hiring a Floor Lead for our Flagship store in Regent Street! As a Floor Lead at Gymshark, you'll be an aspiring leader, driving store performance and ensuring that every customer experience reflects our brand's values of empowerment, inclusivity, and community. You'll lead by example, supporting your team in delivering exceptional service, product knowledge, and operational excellence. With a passion for fitness and fashion, you'll help coach and mentor your team, ensuring they are equipped to provide a seamless shopping experience. This is a 12-month FTC WHAT YOU'LL BE DOING: - Representing Gymshark's culture and values, acting as a passionate advocate for the brand and inspiring your team to do the same - Assisting with the day-to-day operations of the store, ensuring efficient execution of daily tasks and contributing to the store's strategic goals - Identifying growth opportunities within your team, providing in-the-moment coaching, feedback, and support to foster personal and professional development - Leading by example to achieve KPIs, driving team performance through motivation, leadership, and accountability - Be a role model for outstanding customer service, product knowledge, and operational excellence, ensuring every customer has an exceptional experience - Collaborating with store management to support execute initiatives and special projects that align with business goals and brand standards - Bring positivity, energy, and fun to the workplace, helping to create a motivated and engaged team environment - Supporting back-of-house operations, including stockroom organisation, inventory management, and product replenishment, to", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:179af5fa6f24b4eae064c4b4c7465403:description:gymshark", "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.f4cb855390042bcb55", "query_id": "gq_2de282e00c8596b9b962", "job_id": "179af5fa6f24b4eae064c4b4c7465403", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:179af5fa6f24b4eae064c4b4c7465403:employer:gymshark", "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.70b315399fa9c7952e", "query_id": "gq_2de282e00c8596b9b962", "job_id": "179af5fa6f24b4eae064c4b4c7465403", "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": "Gymshark", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:6e7c46b7a9861099d735887d", "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.cef2e6bdd171c736f0", "query_id": "gq_2de282e00c8596b9b962", "job_id": "179af5fa6f24b4eae064c4b4c7465403", "signal_type": "query_match", "display_text": "Employer: \"gymshark\"", "tooltip": "Employer contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "employer_name", "source_value": "Gymshark", "matched_input": "gymshark", "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": "a6d0584327f604a1ce08f31104453797", "title": "Senior Infrastructure Engineer, Dashboard Platform", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 82500, "salary_max": 114800, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 82500, "base_salary_max": 114800, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-03T15:25:29.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/6012594004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Infrastructure Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "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": "senior", "years_experience_min": 5, "years_experience_max": 9, "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": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.cdd2ca6cb6686d0561", "query_id": "gq_2de282e00c8596b9b962", "job_id": "a6d0584327f604a1ce08f31104453797", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Infrastructure Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:a6d0584327f604a1ce08f31104453797:description:gymshark", "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.description_excerpt.3b0f2320c15a9f3742", "query_id": "gq_2de282e00c8596b9b962", "job_id": "a6d0584327f604a1ce08f31104453797", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Infrastructure Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:f41280430700a47dcb21467a", "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.description_excerpt.ead1b7eeb3e4410817", "query_id": "gq_2de282e00c8596b9b962", "job_id": "a6d0584327f604a1ce08f31104453797", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Infrastructure Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "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": "a099d86098773ef40aa676eb9b38f40d", "title": "Solutions Engineer", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 77500, "salary_max": 96750, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 77500, "base_salary_max": 96750, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-04T10:54:15.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/6008986004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Solutions Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! Algolia provides the industry's most powerful search and discovery SaaS platform, driving richer, more powerful engagement and success capabilities to over 17,000 companies. We are seeking passionate and industrious Solutions Engineer ready to join a hyper-growth business and market to help evangelise and drive technical success with our solutions. We are looking for experienced, curious, and driven Solutions Engineer to help customers realise the full value of our platform in a fast-growing market. This role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners to drive revenue, customer adoption, and best practices. You will play a key role in helping prospects and customers evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities 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": 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": 3, "years_experience_max": 7, "role_function": "sales", "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.6540c5686210f4bec0", "query_id": "gq_2de282e00c8596b9b962", "job_id": "a099d86098773ef40aa676eb9b38f40d", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Solutions Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! Algolia provides the industry's most powerful search and discovery SaaS platform, driving richer, more powerful engagement and success capabilities to over 17,000 companies. We are seeking passionate and industrious Solutions Engineer ready to join a hyper-growth business and market to help evangelise and drive technical success with our solutions. We are looking for experienced, curious, and driven Solutions Engineer to help customers realise the full value of our platform in a fast-growing market. This role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners to drive revenue, customer adoption, and best practices. You will play a key role in helping prospects and customers evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:a099d86098773ef40aa676eb9b38f40d:description:gymshark", "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.description_excerpt.a1062c2d5ba8f73612", "query_id": "gq_2de282e00c8596b9b962", "job_id": "a099d86098773ef40aa676eb9b38f40d", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Solutions Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! Algolia provides the industry's most powerful search and discovery SaaS platform, driving richer, more powerful engagement and success capabilities to over 17,000 companies. We are seeking passionate and industrious Solutions Engineer ready to join a hyper-growth business and market to help evangelise and drive technical success with our solutions. We are looking for experienced, curious, and driven Solutions Engineer to help customers realise the full value of our platform in a fast-growing market. This role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners to drive revenue, customer adoption, and best practices. You will play a key role in helping prospects and customers evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:484485c8aa65f6b47b0b9d9b", "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.description_excerpt.3b17ed524fd1bba198", "query_id": "gq_2de282e00c8596b9b962", "job_id": "a099d86098773ef40aa676eb9b38f40d", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Solutions Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers & product teams connect their users with what matters most in milliseconds! Algolia provides the industry's most powerful search and discovery SaaS platform, driving richer, more powerful engagement and success capabilities to over 17,000 companies. We are seeking passionate and industrious Solutions Engineer ready to join a hyper-growth business and market to help evangelise and drive technical success with our solutions. We are looking for experienced, curious, and driven Solutions Engineer to help customers realise the full value of our platform in a fast-growing market. This role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners to drive revenue, customer adoption, and best practices. You will play a key role in helping prospects and customers evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and", "matched_input": "gymshark", "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": "b0eed7784b67374bf267fcf450f7dba1", "title": "Senior Software Engineer, Dashboard Platform", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 82500, "salary_max": 114800, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 82500, "base_salary_max": 114800, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-03T09:24:33.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/5998482004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "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": "senior", "years_experience_min": 5, "years_experience_max": 9, "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": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.aedf372a6c006b123e", "query_id": "gq_2de282e00c8596b9b962", "job_id": "b0eed7784b67374bf267fcf450f7dba1", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:b0eed7784b67374bf267fcf450f7dba1:description:gymshark", "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.description_excerpt.29bd5b0ade6ca5bc84", "query_id": "gq_2de282e00c8596b9b962", "job_id": "b0eed7784b67374bf267fcf450f7dba1", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Software Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:c1a8cbbba0df9354fa4df818", "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.description_excerpt.ec450209749f702280", "query_id": "gq_2de282e00c8596b9b962", "job_id": "b0eed7784b67374bf267fcf450f7dba1", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Software Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "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": "db5bfc032956d38bfc6870c793a0ff34", "title": "Senior Platform Engineer, Dashboard Platform", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 82500, "salary_max": 114800, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 82500, "base_salary_max": 114800, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-03T15:20:18.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/6012591004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Platform Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "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": "senior", "years_experience_min": 5, "years_experience_max": 9, "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": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.d412442320be535340", "query_id": "gq_2de282e00c8596b9b962", "job_id": "db5bfc032956d38bfc6870c793a0ff34", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Platform Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:db5bfc032956d38bfc6870c793a0ff34:description:gymshark", "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.description_excerpt.d779739693fba4f7d5", "query_id": "gq_2de282e00c8596b9b962", "job_id": "db5bfc032956d38bfc6870c793a0ff34", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Platform Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:3f67433c46649296ff8866af", "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.description_excerpt.98837ca08c18e70820", "query_id": "gq_2de282e00c8596b9b962", "job_id": "db5bfc032956d38bfc6870c793a0ff34", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Platform Engineer, Dashboard Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. In the Dashboard Platform team, we're on a mission to empower all developers at Algolia to ship frontend features to our customer-facing Dashboard, with an emphasis on offering a great and consistent customer experience, at scale. In practice, that means: - working on core features of the Algolia Dashboard - building new services powering our infrastructure platform, to enable quick & autonomous deployment for all teams, using Kubernetes, Terraform and AWS. - building tooling, features & guidelines that contribute to a great Developer Experience - collaborating with all developers to support the adoption & usage of our tools We have ambitious goals ahead of us and in that context, we are looking for a Senior Backend Engineer, with a heavy focus on infrastructure automation. We expect you to bring significant experience acquired from a similar role in a former job. Not only will you lead projects in complete autonomy, you will also be", "matched_input": "gymshark", "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": "0d783dfef2027ae50196a336869c51a7", "title": "Director, Product Management, Tech Platform", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 133000, "salary_max": 163000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "base_plus_commission", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 133000, "base_salary_max": 163000, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-01-05T10:30:37.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/5729016004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director, Product Management, Tech Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. We are seeking an experienced Director of Product to lead our Tech Platform organization - a flagship role critical to Algolia's future. This position oversees three teams spanning multiple geographies: - AI Platform : Accelerates the iteration speed of AI development at Algolia - Engine & Infrastructure : Provides a scalable, developer-friendly API platform to accelerate innovation and ensures our infrastructure scales to support all customers and feature development - Platform SDK : Makes it easy for Algolia developers to build and extend solutions using our infrastructure You'll be responsible for the platform that powers both our current search capabilities and our future agentic infrastructure. The Tech Platform accelerates internal development and ensures our infrastructure scales seamlessly across customers of all sizes - from small businesses to large enterprises. This is the backbone that will power everything we run live at Algolia, including our evolution into the agentic world. YOUR ROLE WILL CONSIST", "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": null, "role_function": "product", "employer_industry": null, "employer_size": "51-200", "quality_score": 55, "travel_pct": 30, "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": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.3337d1bd06951d661a", "query_id": "gq_2de282e00c8596b9b962", "job_id": "0d783dfef2027ae50196a336869c51a7", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Director, Product Management, Tech Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. We are seeking an experienced Director of Product to lead our Tech Platform organization - a flagship role critical to Algolia's future. This position oversees three teams spanning multiple geographies: - AI Platform : Accelerates the iteration speed of AI development at Algolia - Engine & Infrastructure : Provides a scalable, developer-friendly API platform to accelerate innovation and ensures our infrastructure scales to support all customers and feature development - Platform SDK : Makes it easy for Algolia developers to build and extend solutions using our infrastructure You'll be responsible for the platform that powers both our current search capabilities and our future agentic infrastructure. The Tech Platform accelerates internal development and ensures our infrastructure scales seamlessly across customers of all sizes - from small businesses to large enterprises. This is the backbone that will power everything we run live at Algolia, including our evolution into the agentic world. YOUR ROLE WILL CONSIST", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:0d783dfef2027ae50196a336869c51a7:description:gymshark", "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.description_excerpt.6ecbf632e1ab0f2739", "query_id": "gq_2de282e00c8596b9b962", "job_id": "0d783dfef2027ae50196a336869c51a7", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Director, Product Management, Tech Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. We are seeking an experienced Director of Product to lead our Tech Platform organization - a flagship role critical to Algolia's future. This position oversees three teams spanning multiple geographies: - AI Platform : Accelerates the iteration speed of AI development at Algolia - Engine & Infrastructure : Provides a scalable, developer-friendly API platform to accelerate innovation and ensures our infrastructure scales to support all customers and feature development - Platform SDK : Makes it easy for Algolia developers to build and extend solutions using our infrastructure You'll be responsible for the platform that powers both our current search capabilities and our future agentic infrastructure. The Tech Platform accelerates internal development and ensures our infrastructure scales seamlessly across customers of all sizes - from small businesses to large enterprises. This is the backbone that will power everything we run live at Algolia, including our evolution into the agentic world. YOUR ROLE WILL CONSIST", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:ac3215599a727ebc5c61f3f0", "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.description_excerpt.76b0673036b407a985", "query_id": "gq_2de282e00c8596b9b962", "job_id": "0d783dfef2027ae50196a336869c51a7", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Director, Product Management, Tech Platform London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. We are seeking an experienced Director of Product to lead our Tech Platform organization - a flagship role critical to Algolia's future. This position oversees three teams spanning multiple geographies: - AI Platform : Accelerates the iteration speed of AI development at Algolia - Engine & Infrastructure : Provides a scalable, developer-friendly API platform to accelerate innovation and ensures our infrastructure scales to support all customers and feature development - Platform SDK : Makes it easy for Algolia developers to build and extend solutions using our infrastructure You'll be responsible for the platform that powers both our current search capabilities and our future agentic infrastructure. The Tech Platform accelerates internal development and ensures our infrastructure scales seamlessly across customers of all sizes - from small businesses to large enterprises. This is the backbone that will power everything we run live at Algolia, including our evolution into the agentic world. YOUR ROLE WILL CONSIST", "matched_input": "gymshark", "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": "45631a05b289be8551b828771831ce8b", "title": "Senior Solutions Engineer", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "Sydney, Australia", "country": "AU", "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": 223000, "salary_max": 251100, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 223000, "base_salary_max": 251100, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-10T18:49:08.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/6008443004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Solutions Engineer Sydney, Australia At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. This Solutions Architect role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners, as well as with select channel partners, to drive solution sales, customer adoption, and best practices. You will play a key role in helping prospects, customers and partners evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and accounts. You will partner with Account Executives to demonstrate the product and underlying architecture, address technical and business objections, and deliver thoughtful, consultative solutions that result in a strong technical win and clear product fit. You will act as both a deep technical expert and a trusted advisor. This means being equally comfortable presenting an engaging solution to a CTO, collaborating with product managers, or building prototypes and integrations directly with customer engineers using Algolia's APIs. You thrive in conversations 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": 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": "senior", "years_experience_min": 4, "years_experience_max": 8, "role_function": "sales", "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.3856c45e3f17c00ec9", "query_id": "gq_2de282e00c8596b9b962", "job_id": "45631a05b289be8551b828771831ce8b", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Senior Solutions Engineer Sydney, Australia At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. This Solutions Architect role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners, as well as with select channel partners, to drive solution sales, customer adoption, and best practices. You will play a key role in helping prospects, customers and partners evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and accounts. You will partner with Account Executives to demonstrate the product and underlying architecture, address technical and business objections, and deliver thoughtful, consultative solutions that result in a strong technical win and clear product fit. You will act as both a deep technical expert and a trusted advisor. This means being equally comfortable presenting an engaging solution to a CTO, collaborating with product managers, or building prototypes and integrations directly with customer engineers using Algolia's APIs. You thrive in conversations with", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:45631a05b289be8551b828771831ce8b:description:gymshark", "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.description_excerpt.dfbf63ddb11004d9cb", "query_id": "gq_2de282e00c8596b9b962", "job_id": "45631a05b289be8551b828771831ce8b", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Senior Solutions Engineer Sydney, Australia At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. This Solutions Architect role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners, as well as with select channel partners, to drive solution sales, customer adoption, and best practices. You will play a key role in helping prospects, customers and partners evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and accounts. You will partner with Account Executives to demonstrate the product and underlying architecture, address technical and business objections, and deliver thoughtful, consultative solutions that result in a strong technical win and clear product fit. You will act as both a deep technical expert and a trusted advisor. This means being equally comfortable presenting an engaging solution to a CTO, collaborating with product managers, or building prototypes and integrations directly with customer engineers using Algolia's APIs. You thrive in conversations with", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:e1d832f5b830ba5bec6741df", "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.description_excerpt.89c2138d493cc44f18", "query_id": "gq_2de282e00c8596b9b962", "job_id": "45631a05b289be8551b828771831ce8b", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Senior Solutions Engineer Sydney, Australia At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. This Solutions Architect role is a critical part of Algolia's go-to-market organisation, working closely with Sales and Solutions partners, as well as with select channel partners, to drive solution sales, customer adoption, and best practices. You will play a key role in helping prospects, customers and partners evaluate Algolia, understand its technical capabilities, and successfully apply it to their use cases. In this position, you will own the technical pre-sales relationship across opportunities and accounts. You will partner with Account Executives to demonstrate the product and underlying architecture, address technical and business objections, and deliver thoughtful, consultative solutions that result in a strong technical win and clear product fit. You will act as both a deep technical expert and a trusted advisor. This means being equally comfortable presenting an engaging solution to a CTO, collaborating with product managers, or building prototypes and integrations directly with customer engineers using Algolia's APIs. You thrive in conversations with", "matched_input": "gymshark", "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": "1fe364a8dd9751745a0560c103a82c08", "title": "Developer Support Engineer", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 43000, "salary_max": 48000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 43000, "base_salary_max": 48000, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-04-24T15:27:48.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/5893252004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Developer Support Engineer, you will partner with 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": 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": 6, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 55, "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": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.71ed43607cd64b0367", "query_id": "gq_2de282e00c8596b9b962", "job_id": "1fe364a8dd9751745a0560c103a82c08", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Developer Support Engineer, you will partner with the", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:1fe364a8dd9751745a0560c103a82c08:description:gymshark", "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.description_excerpt.70830f6b468ee950eb", "query_id": "gq_2de282e00c8596b9b962", "job_id": "1fe364a8dd9751745a0560c103a82c08", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Developer Support Engineer, you will partner with the", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:34ef4aaaf7155d0a4226cfcf", "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.description_excerpt.3b330cb077f74733d2", "query_id": "gq_2de282e00c8596b9b962", "job_id": "1fe364a8dd9751745a0560c103a82c08", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Developer Support Engineer, you will partner with the", "matched_input": "gymshark", "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": "5271f3c0cc20743c49e679b3bed3ab94", "title": "Junior Developer Support Engineer", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 43000, "salary_max": 48000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 43000, "base_salary_max": 48000, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-04T13:42:47.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/6013946004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Junior Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Junior Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Junior Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Junior Developer Support Engineer, 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": 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": "entry", "years_experience_min": 2, "years_experience_max": 6, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 55, "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": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.6c0a104aa5a9b9a443", "query_id": "gq_2de282e00c8596b9b962", "job_id": "5271f3c0cc20743c49e679b3bed3ab94", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Junior Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Junior Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Junior Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Junior Developer Support Engineer, you", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:5271f3c0cc20743c49e679b3bed3ab94:description:gymshark", "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.description_excerpt.08c07a8be5671c03f8", "query_id": "gq_2de282e00c8596b9b962", "job_id": "5271f3c0cc20743c49e679b3bed3ab94", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Junior Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Junior Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Junior Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Junior Developer Support Engineer, you", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:0795a7000d5b367db90d0cfc", "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.description_excerpt.d8e72acf434278c9c9", "query_id": "gq_2de282e00c8596b9b962", "job_id": "5271f3c0cc20743c49e679b3bed3ab94", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Junior Developer Support Engineer London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping developers and product teams connect their users with what matters most in milliseconds! Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide a search API used by thousands of customers in more than 100 countries, handling billions of search queries monthly. The Junior Developer Support Engineer is a critical role at Algolia. We're on the front-lines and are often the first team customers contact when they need help with our products or services. We're looking for a Junior Developer Support Engineer to assist our technical users with implementing Algolia in a variety of web and mobile development technical stacks. This could mean helping a developer trying to build the next big thing in their garage, or Fortune 500 companies focused on providing a world-class experience to their millions of users. As a Junior Developer Support Engineer, you", "matched_input": "gymshark", "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": "cfebd5fc0899a5dc3efb1361bce3c07d", "title": "Commercial Account Executive, DACH", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 107000, "salary_max": 138500, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 107000, "base_salary_max": 138500, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-04-07T15:51:20.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/5854568004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Commercial Account Executive, DACH London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping businesses connect their end-users with what matters most in milliseconds! As an Algolia Account Executive, you will be responsible for creating strong relationships with our customers/prospects and building on these relationships to expand our footprint or close new businesses. You should be comfortable researching prospective customers and adapting sales strategies to meet their needs. You will also play an integral role in defining our sales model. You know the ins and outs of Algolia, understand how we can benefit each prospect and will ultimately be the front line of our revenue growth in the German-speaking and CEMEA markets. Algolia has been growing exponentially over the past few years with Germany representing one of our core markets. We are now expanding our existing German-speaking team to further accelerate in this region, providing you with the opportunity to become one of the core players in our success story. 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": 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": 4, "years_experience_max": 8, "role_function": "sales", "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.b360f6f5578a76214b", "query_id": "gq_2de282e00c8596b9b962", "job_id": "cfebd5fc0899a5dc3efb1361bce3c07d", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Commercial Account Executive, DACH London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping businesses connect their end-users with what matters most in milliseconds! As an Algolia Account Executive, you will be responsible for creating strong relationships with our customers/prospects and building on these relationships to expand our footprint or close new businesses. You should be comfortable researching prospective customers and adapting sales strategies to meet their needs. You will also play an integral role in defining our sales model. You know the ins and outs of Algolia, understand how we can benefit each prospect and will ultimately be the front line of our revenue growth in the German-speaking and CEMEA markets. Algolia has been growing exponentially over the past few years with Germany representing one of our core markets. We are now expanding our existing German-speaking team to further accelerate in this region, providing you with the opportunity to become one of the core players in our success story. You", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:cfebd5fc0899a5dc3efb1361bce3c07d:description:gymshark", "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.description_excerpt.91328531eb44ec9741", "query_id": "gq_2de282e00c8596b9b962", "job_id": "cfebd5fc0899a5dc3efb1361bce3c07d", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Commercial Account Executive, DACH London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping businesses connect their end-users with what matters most in milliseconds! As an Algolia Account Executive, you will be responsible for creating strong relationships with our customers/prospects and building on these relationships to expand our footprint or close new businesses. You should be comfortable researching prospective customers and adapting sales strategies to meet their needs. You will also play an integral role in defining our sales model. You know the ins and outs of Algolia, understand how we can benefit each prospect and will ultimately be the front line of our revenue growth in the German-speaking and CEMEA markets. Algolia has been growing exponentially over the past few years with Germany representing one of our core markets. We are now expanding our existing German-speaking team to further accelerate in this region, providing you with the opportunity to become one of the core players in our success story. You", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:1387a700a6a6200b569d9b84", "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.description_excerpt.6780963e04ab1982cf", "query_id": "gq_2de282e00c8596b9b962", "job_id": "cfebd5fc0899a5dc3efb1361bce3c07d", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Commercial Account Executive, DACH London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we are passionate about helping businesses connect their end-users with what matters most in milliseconds! As an Algolia Account Executive, you will be responsible for creating strong relationships with our customers/prospects and building on these relationships to expand our footprint or close new businesses. You should be comfortable researching prospective customers and adapting sales strategies to meet their needs. You will also play an integral role in defining our sales model. You know the ins and outs of Algolia, understand how we can benefit each prospect and will ultimately be the front line of our revenue growth in the German-speaking and CEMEA markets. Algolia has been growing exponentially over the past few years with Germany representing one of our core markets. We are now expanding our existing German-speaking team to further accelerate in this region, providing you with the opportunity to become one of the core players in our success story. You", "matched_input": "gymshark", "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": "e85686dcfa77fe0d0532980b27ec5b83", "title": "Director, Product Management (AI Search)", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 144000, "salary_max": 200000, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "base", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 144000, "base_salary_max": 200000, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-05-26T16:11:43.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/6006012004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Director, Product Management (AI Search) London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. The Mission Empower developers and business users with the tools to maximize their use of Algolia's Search platform. Our team builds advanced analytics, debugging tools, and applications that enhance keyword search capabilities, helping customers make data-driven decisions. The Opportunity The Search team at Algolia runs the world's fastest and most relevant search engine . We operate one platform that covers ALL retrieval methods - keyword, semantic, db, and others. We eat, breathe, and sleep highly available and highly reliable services (4 9s is our minimum threshold). We build products that enable anyone to easily connect any data source and retrieve and collate content across multiple data sources. We inform our customers how best to optimize their discovery engines through automation and products. We run both the public cloud and our own bare metal because we demand the best performance. And, we are just getting started. The Team Our AI Search team is 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": 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": 8, "years_experience_max": 12, "role_function": "product", "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.0210a5eefc2b8e418e", "query_id": "gq_2de282e00c8596b9b962", "job_id": "e85686dcfa77fe0d0532980b27ec5b83", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Director, Product Management (AI Search) London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. The Mission Empower developers and business users with the tools to maximize their use of Algolia's Search platform. Our team builds advanced analytics, debugging tools, and applications that enhance keyword search capabilities, helping customers make data-driven decisions. The Opportunity The Search team at Algolia runs the world's fastest and most relevant search engine . We operate one platform that covers ALL retrieval methods - keyword, semantic, db, and others. We eat, breathe, and sleep highly available and highly reliable services (4 9s is our minimum threshold). We build products that enable anyone to easily connect any data source and retrieve and collate content across multiple data sources. We inform our customers how best to optimize their discovery engines through automation and products. We run both the public cloud and our own bare metal because we demand the best performance. And, we are just getting started. The Team Our AI Search team is a", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:e85686dcfa77fe0d0532980b27ec5b83:description:gymshark", "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.description_excerpt.a668cea854c4404029", "query_id": "gq_2de282e00c8596b9b962", "job_id": "e85686dcfa77fe0d0532980b27ec5b83", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Director, Product Management (AI Search) London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. The Mission Empower developers and business users with the tools to maximize their use of Algolia's Search platform. Our team builds advanced analytics, debugging tools, and applications that enhance keyword search capabilities, helping customers make data-driven decisions. The Opportunity The Search team at Algolia runs the world's fastest and most relevant search engine . We operate one platform that covers ALL retrieval methods - keyword, semantic, db, and others. We eat, breathe, and sleep highly available and highly reliable services (4 9s is our minimum threshold). We build products that enable anyone to easily connect any data source and retrieve and collate content across multiple data sources. We inform our customers how best to optimize their discovery engines through automation and products. We run both the public cloud and our own bare metal because we demand the best performance. And, we are just getting started. The Team Our AI Search team is a", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:61727a6693d4b5c8faf83d19", "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.description_excerpt.60ccaeb651681320d1", "query_id": "gq_2de282e00c8596b9b962", "job_id": "e85686dcfa77fe0d0532980b27ec5b83", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Director, Product Management (AI Search) London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. The Mission Empower developers and business users with the tools to maximize their use of Algolia's Search platform. Our team builds advanced analytics, debugging tools, and applications that enhance keyword search capabilities, helping customers make data-driven decisions. The Opportunity The Search team at Algolia runs the world's fastest and most relevant search engine . We operate one platform that covers ALL retrieval methods - keyword, semantic, db, and others. We eat, breathe, and sleep highly available and highly reliable services (4 9s is our minimum threshold). We build products that enable anyone to easily connect any data source and retrieve and collate content across multiple data sources. We inform our customers how best to optimize their discovery engines through automation and products. We run both the public cloud and our own bare metal because we demand the best performance. And, we are just getting started. The Team Our AI Search team is a", "matched_input": "gymshark", "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": "dadd25ac66246dc0a8f002d0d026e6cd", "title": "Customer Success Advocate", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "employment_type": "contract", "remote_status": "unspecified", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": null, "timezone_overlap_hours": 3, "salary_min": 61000, "salary_max": 74600, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 61000, "base_salary_max": 74600, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-08T13:42:28.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/5977937004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Customer Success Advocate London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're looking for a Customer Success Advocate (CSA) who is responsible for a dedicated portfolio of customers based on a high volume / low touch engagement model. As a CSA, you are responsible for conducting account reviews, customer outreach, CRM management, forecasting, responding to customer needs, and managing the renewal process operating at scale using Salesforce, Gainsight and other internal systems. You will be partnering with various other teams including but not limited to Sales, Customer Solutions, Finance, Customer Support, and Deal Desk. In this Customer facing role, you will get the opportunity to work on the front lines with our incredible customer base and get exposure to exciting and complex customer interactions. You'll connect with our customers to understand their needs and challenges while partnering with our Customer Success team to ensure their challenges are addressed. You'll establish relationships with customers as you negotiate to maximize mutual benefit at renewal time. You'll", "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": 3, "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.017203aa2d697c146a", "query_id": "gq_2de282e00c8596b9b962", "job_id": "dadd25ac66246dc0a8f002d0d026e6cd", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Customer Success Advocate London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're looking for a Customer Success Advocate (CSA) who is responsible for a dedicated portfolio of customers based on a high volume / low touch engagement model. As a CSA, you are responsible for conducting account reviews, customer outreach, CRM management, forecasting, responding to customer needs, and managing the renewal process operating at scale using Salesforce, Gainsight and other internal systems. You will be partnering with various other teams including but not limited to Sales, Customer Solutions, Finance, Customer Support, and Deal Desk. In this Customer facing role, you will get the opportunity to work on the front lines with our incredible customer base and get exposure to exciting and complex customer interactions. You'll connect with our customers to understand their needs and challenges while partnering with our Customer Success team to ensure their challenges are addressed. You'll establish relationships with customers as you negotiate to maximize mutual benefit at renewal time. You'll", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:dadd25ac66246dc0a8f002d0d026e6cd:description:gymshark", "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.description_excerpt.ee7d1c8fb9a1f8bd25", "query_id": "gq_2de282e00c8596b9b962", "job_id": "dadd25ac66246dc0a8f002d0d026e6cd", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Customer Success Advocate London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're looking for a Customer Success Advocate (CSA) who is responsible for a dedicated portfolio of customers based on a high volume / low touch engagement model. As a CSA, you are responsible for conducting account reviews, customer outreach, CRM management, forecasting, responding to customer needs, and managing the renewal process operating at scale using Salesforce, Gainsight and other internal systems. You will be partnering with various other teams including but not limited to Sales, Customer Solutions, Finance, Customer Support, and Deal Desk. In this Customer facing role, you will get the opportunity to work on the front lines with our incredible customer base and get exposure to exciting and complex customer interactions. You'll connect with our customers to understand their needs and challenges while partnering with our Customer Success team to ensure their challenges are addressed. You'll establish relationships with customers as you negotiate to maximize mutual benefit at renewal time. You'll", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:5e27cde9a59ea369fcf1fa01", "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.description_excerpt.3181598b2f1cacfc95", "query_id": "gq_2de282e00c8596b9b962", "job_id": "dadd25ac66246dc0a8f002d0d026e6cd", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Customer Success Advocate London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're looking for a Customer Success Advocate (CSA) who is responsible for a dedicated portfolio of customers based on a high volume / low touch engagement model. As a CSA, you are responsible for conducting account reviews, customer outreach, CRM management, forecasting, responding to customer needs, and managing the renewal process operating at scale using Salesforce, Gainsight and other internal systems. You will be partnering with various other teams including but not limited to Sales, Customer Solutions, Finance, Customer Support, and Deal Desk. In this Customer facing role, you will get the opportunity to work on the front lines with our incredible customer base and get exposure to exciting and complex customer interactions. You'll connect with our customers to understand their needs and challenges while partnering with our Customer Success team to ensure their challenges are addressed. You'll establish relationships with customers as you negotiate to maximize mutual benefit at renewal time. You'll", "matched_input": "gymshark", "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": "3b1b5336032ec5cfe17cc2028bb614dd", "title": "GTM Market Launcher - UK&I", "employer_name": "Hilbert", "employer_slug": "hilbert", "location_text": "London", "country": "GB", "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": 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": "2026-04-15T15:46:35.077Z", "apply_url": "https://jobs.ashbyhq.com/hilberts/03b4b6af-edb6-411f-b2a9-3f8b8958c1e4", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "GTM Market Launcher - UK&I London Hilbert is building the growth infra for the next decade - a system built by operators, mathematicians, and engineers who lived the complexity of growth at scale, and decided to end it. We work with the most forward-looking operators in the world - from Fortune 500 enterprises like Walmart to beloved consumer brands like FreshDirect and Blank Street Coffee, to the leading AI-native companies redefining how software gets built. The Opportunity UK&I is the most commercially demanding consumer market in Europe - home to some of the world's most sophisticated grocers, and retail operators such us Tesco, Sainsbury's, Ocado, M&S, Waitrose, ASOS, Boohoo, Deliveroo, Pret, Gymshark, etc..Companies running active digital channels, high purchase frequency, and wide catalogs across multiple banners and geographies. The data they generate every day is extraordinary. The gap is acting on it fast enough to matter. This is a zero-to-one role. No inherited pipeline. No playbook handed to you. No one warming the seat. You'll be the first GTM in UK - prospecting, closing, building a team, and defining how Hilbert wins the market that matters most. What You'll Do - Own revenue end to end : Everyone starts as an individual contributor. You thrive owning a full sales cycle - navigating complex enterprise environments from outbound to close six-figure contracts - Augment our partners : We win only when our partners win. We will teach you enough growth engine knowledge to help partners get to value fast. As revenue", "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": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "marketing", "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.006d49871ab4a17b69", "query_id": "gq_2de282e00c8596b9b962", "job_id": "3b1b5336032ec5cfe17cc2028bb614dd", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "GTM Market Launcher - UK&I London Hilbert is building the growth infra for the next decade - a system built by operators, mathematicians, and engineers who lived the complexity of growth at scale, and decided to end it. We work with the most forward-looking operators in the world - from Fortune 500 enterprises like Walmart to beloved consumer brands like FreshDirect and Blank Street Coffee, to the leading AI-native companies redefining how software gets built. The Opportunity UK&I is the most commercially demanding consumer market in Europe - home to some of the world's most sophisticated grocers, and retail operators such us Tesco, Sainsbury's, Ocado, M&S, Waitrose, ASOS, Boohoo, Deliveroo, Pret, Gymshark, etc..Companies running active digital channels, high purchase frequency, and wide catalogs across multiple banners and geographies. The data they generate every day is extraordinary. The gap is acting on it fast enough to matter. This is a zero-to-one role. No inherited pipeline. No playbook handed to you. No one warming the seat. You'll be the first GTM in UK - prospecting, closing, building a team, and defining how Hilbert wins the market that matters most. What You'll Do - Own revenue end to end : Everyone starts as an individual contributor. You thrive owning a full sales cycle - navigating complex enterprise environments from outbound to close six-figure contracts - Augment our partners : We win only when our partners win. We will teach you enough growth engine knowledge to help partners get to value fast. As revenue", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:3b1b5336032ec5cfe17cc2028bb614dd:description:gymshark", "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.description_excerpt.cb5101486ad095ee58", "query_id": "gq_2de282e00c8596b9b962", "job_id": "3b1b5336032ec5cfe17cc2028bb614dd", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "GTM Market Launcher - UK&I London Hilbert is building the growth infra for the next decade - a system built by operators, mathematicians, and engineers who lived the complexity of growth at scale, and decided to end it. We work with the most forward-looking operators in the world - from Fortune 500 enterprises like Walmart to beloved consumer brands like FreshDirect and Blank Street Coffee, to the leading AI-native companies redefining how software gets built. The Opportunity UK&I is the most commercially demanding consumer market in Europe - home to some of the world's most sophisticated grocers, and retail operators such us Tesco, Sainsbury's, Ocado, M&S, Waitrose, ASOS, Boohoo, Deliveroo, Pret, Gymshark, etc..Companies running active digital channels, high purchase frequency, and wide catalogs across multiple banners and geographies. The data they generate every day is extraordinary. The gap is acting on it fast enough to matter. This is a zero-to-one role. No inherited pipeline. No playbook handed to you. No one warming the seat. You'll be the first GTM in UK - prospecting, closing, building a team, and defining how Hilbert wins the market that matters most. What You'll Do - Own revenue end to end : Everyone starts as an individual contributor. You thrive owning a full sales cycle - navigating complex enterprise environments from outbound to close six-figure contracts - Augment our partners : We win only when our partners win. We will teach you enough growth engine knowledge to help partners get to value fast. As revenue", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:cb2e74019b0c8c0b5f7991f1", "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.description_excerpt.d4c3106566093f801b", "query_id": "gq_2de282e00c8596b9b962", "job_id": "3b1b5336032ec5cfe17cc2028bb614dd", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "GTM Market Launcher - UK&I London Hilbert is building the growth infra for the next decade - a system built by operators, mathematicians, and engineers who lived the complexity of growth at scale, and decided to end it. We work with the most forward-looking operators in the world - from Fortune 500 enterprises like Walmart to beloved consumer brands like FreshDirect and Blank Street Coffee, to the leading AI-native companies redefining how software gets built. The Opportunity UK&I is the most commercially demanding consumer market in Europe - home to some of the world's most sophisticated grocers, and retail operators such us Tesco, Sainsbury's, Ocado, M&S, Waitrose, ASOS, Boohoo, Deliveroo, Pret, Gymshark, etc..Companies running active digital channels, high purchase frequency, and wide catalogs across multiple banners and geographies. The data they generate every day is extraordinary. The gap is acting on it fast enough to matter. This is a zero-to-one role. No inherited pipeline. No playbook handed to you. No one warming the seat. You'll be the first GTM in UK - prospecting, closing, building a team, and defining how Hilbert wins the market that matters most. What You'll Do - Own revenue end to end : Everyone starts as an individual contributor. You thrive owning a full sales cycle - navigating complex enterprise environments from outbound to close six-figure contracts - Augment our partners : We win only when our partners win. We will teach you enough growth engine knowledge to help partners get to value fast. As revenue", "matched_input": "gymshark", "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": "6551ebd06aabc264dc2ffbb954ba02c5", "title": "Manager, Solutions Engineering - EMEA North", "employer_name": "Algolia", "employer_slug": "algolia", "location_text": "London, England", "country": "GB", "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": 112000, "salary_max": 139950, "salary_min_source": null, "salary_max_source": null, "salary_currency": "GBP", "salary_type": "ote", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": "year", "base_salary_min": 112000, "base_salary_max": 139950, "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": 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": [ "yc", "cbinsights_unicorn" ], "posted_at": "2026-06-10T17:07:38.000Z", "apply_url": "https://job-boards.greenhouse.io/algolia/jobs/6008969004", "apply_url_verified": false, "ats": "greenhouse", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Manager, Solutions Engineering - EMEA North London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. Algolia is looking for a Solutions Engineering Manager to lead and grow our EMEA North SE team, covering the UK, Ireland, Nordics, and Benelux, supporting Commercial, Enterprise, and Strategic accounts. Our SEs collaborate with Algolia users to understand their business challenges, architect and develop solutions, and serve as deep subject matter experts on Algolia's products and services, helping our prospects, customers, 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": 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": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 55, "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": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [ { "schema_version": "inv382.match_signal.v1", "signal_id": "sig.query.description_excerpt.27e00850186ff5f80b", "query_id": "gq_2de282e00c8596b9b962", "job_id": "6551ebd06aabc264dc2ffbb954ba02c5", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description matched \"gymshark\" from your search.", "source_binding": "bm25_field_evidence", "source_field": "description_excerpt", "source_value": "Manager, Solutions Engineering - EMEA North London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. Algolia is looking for a Solutions Engineering Manager to lead and grow our EMEA North SE team, covering the UK, Ireland, Nordics, and Benelux, supporting Commercial, Enterprise, and Strategic accounts. Our SEs collaborate with Algolia users to understand their business challenges, architect and develop solutions, and serve as deep subject matter experts on Algolia's products and services, helping our prospects, customers, and", "matched_input": "gymshark", "derivation_source": "candidate_result.raw_match_evidence", "candidate_evidence_id": "ev:gq_2de282e00c8596b9b962:6551ebd06aabc264dc2ffbb954ba02c5:description:gymshark", "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.description_excerpt.f01c7f4c63eacfdd31", "query_id": "gq_2de282e00c8596b9b962", "job_id": "6551ebd06aabc264dc2ffbb954ba02c5", "signal_type": "query_match", "display_text": "Description: semantic match", "tooltip": "Description provided semantic evidence for your search intent.", "source_binding": "reranker_semantic_evidence", "source_field": "description_excerpt", "source_value": "Manager, Solutions Engineering - EMEA North London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. Algolia is looking for a Solutions Engineering Manager to lead and grow our EMEA North SE team, covering the UK, Ireland, Nordics, and Benelux, supporting Commercial, Enterprise, and Strategic accounts. Our SEs collaborate with Algolia users to understand their business challenges, architect and develop solutions, and serve as deep subject matter experts on Algolia's products and services, helping our prospects, customers, and", "matched_input": "gymshark", "derivation_source": "rerank_result.semantic_evidence", "candidate_evidence_id": null, "rerank_evidence_id": "rerank:62a8d93a7620e0837f5b6b45", "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.description_excerpt.644503cd98c43e39a3", "query_id": "gq_2de282e00c8596b9b962", "job_id": "6551ebd06aabc264dc2ffbb954ba02c5", "signal_type": "query_match", "display_text": "Description: \"gymshark\"", "tooltip": "Description contains \"gymshark\" from your search.", "source_binding": "token_match", "source_field": "description_excerpt", "source_value": "Manager, Solutions Engineering - EMEA North London, England At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. At Algolia, we're proud to be a pioneer and market leader in AI Search, empowering 17,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests - four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined. In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens. Algolia is looking for a Solutions Engineering Manager to lead and grow our EMEA North SE team, covering the UK, Ireland, Nordics, and Benelux, supporting Commercial, Enterprise, and Strategic accounts. Our SEs collaborate with Algolia users to understand their business challenges, architect and develop solutions, and serve as deep subject matter experts on Algolia's products and services, helping our prospects, customers, and", "matched_input": "gymshark", "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 } } ] } ], "total": 46, "page": 1, "per_page": 24, "applied_filters": { "q": "Gymshark" }, "hidden_unknown_benefits_count": 0, "hidden_quality_floor_count": 0, "quality_floor": "default", "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": [ "gymshark" ], "active_filter_keys": [], "visible_signal_limit": 3, "visible_trust_limit": 2 }, "event_context": null }