{ "slug": "voxel-energy", "canonical_name": "Voxel Energy", "website": "https://voxelenergy.com", "ats": "ashby", "top_startup": true, "top_startup_sources": [ "yc" ], "total_active_jobs": 12, "verified_benefits": { "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "source_url": null, "source_label": null, "verified_count": 0, "last_verified": null }, "awards": null, "jobs": [ { "id": "d49cc90da92807c2adb90c033058219c", "title": "Software Engineer, Perception", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "San Francisco, CA | Hybrid | Remote", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/9614f69a-b74b-486f-97b9-081f769cf804", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Software Engineer, Perception San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. WHAT YOU'LL DO We are seeking a highly motivated and bright engineer to join our team and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges. RESPONSIBILITIES - Develop and productionize state-of-the-art computer vision algorithms for object detection, tracking, pose estimation, activity recognition, and anomaly detection in complex indoor environments like warehouses and retail spaces. - Implement and optimize computer vision techniques for high-throughput, low-latency applications on edge compute devices. - Streamline ML data ingestion, retraining pipelines, and model redeployment workflows. - Build and maintain reliable, scalable pipelines for continuous training and deployment of ML models in production environments. - Partner with Sales, Customer Success, and Field Engineering to architect ML-driven solutions tailored to customer needs and deployment contexts. QUALIFICATIONS MUST-HAVES", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": "bachelors", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "8384d22ac8aabdde5058866c392fe27c", "title": "Tier 2 Support Engineer", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/88955220-d059-458f-a350-ccdacfa18bb3", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Tier 2 Support Engineer Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Tier 2 Support Engineer at Voxel, you will be the critical second line of defense for our enterprise customers, owning complex technical issues that require deeper investigation beyond front-line support. You'll work directly with customers, internal CS teams, and engineering to diagnose problems, drive resolution, and ensure a seamless platform experience across diverse deployment environments. This role is ideal for a technically strong engineer who enjoys solving ambiguous problems, communicates clearly with customers, and wants to work at the cutting edge of AI-powered computer vision. WHAT YOU'LL DO - Own and resolve escalated technical issues from Tier 1, serving as the primary point of escalation for complex platform, network, and hardware-related problems. - Conduct deep-dive troubleshooting across Voxel's edge AI platform, including device connectivity, camera configurations, network infrastructure, and software behavior. - Collaborate closely with Customer Success Managers to communicate issue status, set expectations, and ensure timely resolution for enterprise accounts. - Reproduce and document", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "67f68cf4b8c9ab8c1b2cc793d8186de0", "title": "Customer Success Associate", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/ae64e348-119e-4db7-9836-970bd98231cc", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Customer Success Associate Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Customer Success Associate at Voxel, you will be on the front lines of helping customers get real value from our platform. You'll own the onboarding and training experience for new users, manage a book of existing sites, and serve as the primary point of contact for a set of mid-market accounts. Working closely with senior Customer Success Managers, you'll ensure customers are set up for long-term success from day one. This is an excellent opportunity for someone early in their career who is passionate about customer experience, eager to learn the craft of enterprise customer success, and excited to work at the intersection of AI and industrial safety. WHAT YOU'LL DO - Lead onboarding and training sessions for new users across customer sites, ensuring smooth adoption of the Voxel platform. - Manage a book of existing sites, maintaining strong relationships and driving ongoing platform engagement. - Own end-to-end customer relationships for a portfolio of mid-market accounts,", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "entry", "seniority_source": null, "years_experience_min": 0, "years_experience_max": 4, "role_function": "customer_success", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "27c71f3009548c086b093d993d58a9df", "title": "Customer Success Manager, Mid-Market", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/ba08f2aa-120a-4dd2-8d2f-5bd3f911d370", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Customer Success Manager, Mid-Market Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Mid-Market Customer Success Manager at Voxel, you will own the full post-sale lifecycle for a portfolio of mid-market accounts, from onboarding through renewal and expansion. You'll serve as the primary relationship owner for your customers, driving platform adoption, delivering measurable value, and ensuring long-term retention. You'll also work closely with Customer Success Associates who support site-level training and deployment across your book of business. This is a great fit for a driven CSM who thrives on owning outcomes, building strong customer relationships, and operating with a high degree of autonomy. WHAT YOU'LL DO - Own end-to-end customer relationships across a portfolio of mid-market accounts, serving as the primary point of contact post-sale. - Drive successful onboarding and time-to-value for new customers, coordinating closely with Solutions Engineering and CS Associates. - Develop and execute account plans that drive platform adoption, engagement, and measurable safety and operational outcomes. - Lead regular business reviews with customer stakeholders, communicating", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "customer_success", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "1d9db8ea5cc0d4cfd20410f6ccf11a46", "title": "Tier 3 Support Engineer", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-12T10:25:24.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/5add9292-1fb1-42ec-b327-5373f63a26ea", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Tier 3 Support Engineer Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Tier 3 Support Engineer at Voxel, you are the deepest technical escalation point in our support organization, the last line of defense before Engineering. You will own the most complex, high-severity issues across our platform, working at the code and infrastructure level to diagnose root causes and drive permanent fixes. You'll serve as a critical bridge between Support, Engineering, and Product, influencing how we build for reliability and scale. This role is built for a seasoned engineer who combines deep technical expertise with strong customer instincts and a passion for solving problems others can't. WHAT YOU'LL DO - Own resolution of the most complex, high-severity escalations across Voxel's platform, including issues spanning edge hardware, networking, AI inference, and cloud infrastructure. - Conduct root cause analysis at the code, configuration, and infrastructure level, partnering directly with Engineering to drive permanent fixes. - Act as the authoritative technical escalation point for Tier 2, Customer Success, and Solutions", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "bc09345efd91a145b1ef8e9c66a0dd2d", "title": "Founding Forward Deployed Engineer", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "San Francisco, CA | Hybrid | Remote", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/322edcd6-4baf-4b5f-8fdd-fd89f965255c", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Founding Forward Deployed Engineer San Francisco, CA | Hybrid | Remote WHO ARE WE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. THE ROLE You will act as the tip of the spear for our go-to-market efforts. By rapidly prototyping, integrating with legacy data streams, and shipping production-ready code, you will directly convert operational bottlenecks into scalable platform features. As the first engineer in this function, you will define how Voxel ships software to the field and build the technical foundation necessary to scale our deployment velocity. If you enjoy building computer vision systems that operate outside the lab - learning from messy real-world data and shipping models that directly improve safety and operations - this role offers the opportunity to have a direct impact on how industrial facilities operate. WHAT YOU'LL DO Build enterprise deployments - Ship for impact. Architect and write the code that makes Voxel work in the real world. You will build the end-to-end systems (frontend, backend, infrastructure) that unlock massive operational efficiency for enterprise customers. - Integrate our computer vision models with messy, existing facility infrastructure and legacy data streams. - Example Use Case: Architecting an end-to-end system for", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "970da72cbd974fc84368b5cb1b667db8", "title": "Tech Lead Manager, Vision & AI", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "San Francisco, CA | Hybrid | Remote", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "UNSPECIFIED", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/aaff753a-bf65-4858-ac89-ef23d20e9243", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Tech Lead Manager, Vision & AI San Francisco, CA | Hybrid | Remote ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a Tech Lead Manager to own the applied ML work that drives every new capability we ship. You'll set technical direction, write code, make architecture calls, and build a small team of engineers who take modern ML (VLMs, segmentation, tracking, temporal models) and turn it into things that work in real warehouses, on all kinds of cameras, for demanding customers. This is a hands-on role. You'll ship weekly, debug production problems, sit on customer calls, and own outcomes end to end. If you want a research org behind you, this isn't it. If you want to see your model running in 200 facilities weeks after you trained it, read on. WHAT YOU'LL DO - Set technical direction for Voxel's vision and ML capabilities: what we build, how we build it, how we know it works. - Hire and lead a small team of applied ML engineers. Set the bar, set the goals, set the culture. - Stay in the code. Architecture decisions, model reviews,", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "8c8fb04a6ef94ae66193e1c204dc1ff1", "title": "Enterprise Account Executive, Industrial & Supply Chain", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/e00ee3fb-371c-4d0a-a39a-1d5e7e76fc2a", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Enterprise Account Executive, Industrial & Supply Chain Remote Who Are We Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. We're seeking an experienced Enterprise Sales Director with a strong track record in B2B technology sales, ideally in SaaS-based EHNS, business insights, or risk management. This role will play a critical part in expanding our presence within operations and safety departments at Fortune 500 companies. The ideal candidate thrives in a fast-paced environment, excels at building and managing strategic relationships, and is passionate about solving complex challenges. You'll help drive growth across departments and functions, positioning Voxel as a trusted partner in safety. The Opportunity We are seeking two highly motivated Enterprise AE's to drive net-new revenue growth across large enterprise accounts. This is a true hunter role focused on acquiring strategic Fortune 500 customers within manufacturing, logistics, warehousing, transportation, retail distribution, and industrial operations. The ideal candidate has experience selling complex enterprise software or technology solutions into operations leaders, supply chain executives, safety organizations, manufacturing leaders, or logistics teams. They have consistently closed high-value enterprise deals, built executive-level relationships, and navigated long, multi-stakeholder sales cycles. You thrive in ambiguity, enjoy building territories from 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": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "882eea1ed24edffa207a2c439be2111a", "title": "General Opportunity", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "Remote", "country": "unknown", "employment_type": "unknown", "remote_status": "remote", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 0, "timezone_overlap_hours": 3, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/2ec1c770-de05-4812-b782-5794297689cd", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "General Opportunity Remote WHO ARE WE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. THE ROLE General Application - Future Opportunities At Voxel, we're always looking to connect with talented, mission-driven individuals who are excited about using AI to make the workplace safer and more efficient. Even if we don't have a role open today that matches your background, we'd still love to hear from you. We regularly review general applications and reach out when there's a strong fit with upcoming opportunities across teams like Customer Success, Sales, Engineering, Product, and Operations. WHAT YOU MIGHT WORK ON Depending on your background and interests, you could: - Partner with customers to translate AI-driven insights into meaningful operational and safety improvements - Analyze data to identify trends, risks, and opportunities for impact - Build and scale systems, products, or processes that drive real-world outcomes - Support onboarding, implementation, and long-term customer success - Collaborate cross-functionally with Product, Engineering, and Go-To-Market teams - Contribute to playbooks, tools, and best practices as we grow WHO WE'RE LOOKING FOR We're excited to hear from you if you: - Are passionate about improving safety, operations, or risk through technology -", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 51, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "mid", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "other", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "8213ba810e99c32dc8374e7d692b8fcd", "title": "Senior Software Engineer, ML Infrastructure", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "San Francisco, CA | Hybrid | Remote", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/7807a76c-d3b6-40f8-a999-c8433e6c0b9e", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer, ML Infrastructure San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models. You'll build systems that let our applied ML team train multiple models concurrently, manage experiments and ship optimized models to production. You'll set technical direction, write code, make architecture calls, and partner closely with applied CV, ML Data and Platform engineers. WHAT YOU'LL DO - Build and maintain", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "76c02abd688e066b9b0f8343772422ed", "title": "Staff Software Engineer, ML Infrastructure", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "San Francisco, CA | Hybrid | Remote", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/6b1200b8-5bf8-4496-abc2-5bd124e2aeaf", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Staff Software Engineer, ML Infrastructure San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a Staff Software Engineer to own ML Infrastructure at Voxel. Our applied ML team is shipping vision models into production every week, across thousands of cameras at Fortune 500 customers, and the infrastructure underneath determines how fast we can move. You'll set the technical direction for how we train, track, and ship vision models, build the foundational systems that the applied ML team relies on, 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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "staff_plus", "seniority_source": null, "years_experience_min": 3, "years_experience_max": 7, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } }, { "id": "36370259d44d742fe37d0b0584b606bc", "title": "Senior Software Engineer, ML Data", "employer_name": "Voxel Energy", "employer_slug": "voxel-energy", "location_text": "San Francisco, CA | Hybrid | Remote", "country": "US", "employment_type": "unknown", "remote_status": "hybrid", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 2, "timezone_overlap_hours": 6, "salary_min": null, "salary_max": null, "salary_min_source": null, "salary_max_source": null, "salary_currency": "USD", "salary_type": "unknown", "salary_type_source": null, "salary_type_enriched_at": null, "salary_period": null, "base_salary_min": null, "base_salary_max": null, "salary_disclosed": false, "equity_included": false, "equity_included_source": null, "equity_type": [ "none" ], "k401_match": null, "match_401k_pct": null, "match_401k_pct_source": null, "k401_match_source_url": null, "k401_match_source_fields": [], "k401_contribution_source_url": null, "k401_contribution_source_fields": [], "profit_sharing": false, "bonus_offered": false, "mental_health_support": null, "childcare_subsidy": null, "fertility_family_building_benefits": null, "adoption_assistance_offered": null, "surrogacy_assistance_offered": null, "learning_budget_offered": null, "relocation_assistance": null, "top_startup_sources": [ "yc" ], "posted_at": "2026-06-10T03:52:15.000Z", "apply_url": "https://jobs.ashbyhq.com/voxel/d625aa10-6a0e-4359-b465-e23408216d3b", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Senior Software Engineer, ML Data San Francisco, CA | Hybrid | Remote SENIOR SOFTWARE ENGINEER, ML DATA San Francisco, CA · Hybrid · Reports to Head of Vision & AI WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the data infrastructure required to train and evaluate our ML models. You'll work with petabytes of data streaming from thousands of live customer cameras, and build pipelines to ingest, search, label, version and store the highest quality of data required to train", "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, "llm_signals_at": null, "llm_extraction_run_id": null, "llm_extraction_extracted_at": null, "llm_extraction_field_sources": {}, "seniority": "senior", "seniority_source": null, "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "role_function_source": null, "company_stage": null, "company_stage_source": null, "employer_industry": "Energy", "employer_industry_source": 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": [], "parental_leave_source_label": null, "k401_match_source_label": null, "k401_contribution_source_label": null, "apply_url_checked_at": null, "apply_url_verification_status": "not_reachable_or_not_checked", "apply_url_verification_label": "Not checked or not reachable at last crawl", "field_source_signals": { "remote_status": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "equity_included": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "seniority": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "role_function": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null }, "employer_industry": { "tier": "inferred", "verified": false, "label": "Inferred - source not recorded", "source_label": "source not recorded", "href": null, "source_values": [], "checked_at": null } } } ], "json_ld": [ { "@context": "https://schema.org", "@type": "Organization", "name": "Voxel Energy", "url": "https://voxelenergy.com", "sameAs": [] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Voxel Energy open jobs", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://fewerjobs.com/jobs/voxel-energy/software-engineer-perception-d49cc90d", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Software Engineer, Perception", "description": "

Software Engineer, Perception at Voxel Energy - San Francisco, CA | Hybrid | Remote - Software Engineer, Perception San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. WHAT YOU'LL DO We are seeking a highly motivated and bright engineer to join our team and devise elegant solutions to challenging problems. This role will focus on designing and implementing systems to support Voxel's ML development. As a part of the perception team, you should be comfortable working in a fast-paced environment and solving problems across the software stack. We require engineers to be versatile and possess the ability to move across projects and tackle new challenges. RESPONSIBILITIES - Develop and productionize state-of-the-art computer vision algorithms for object detection, tracking, pose estimation, activity recognition, and anomaly detection in complex indoor environments like warehouses and retail spaces. - Implement and optimize computer vision techniques for high-throughput, low-latency applications on edge compute devices. - Streamline ML data ingestion, retraining pipelines, and model redeployment workflows. - Build and maintain reliable, scalable pipelines for continuous training and deployment of ML models in production environments. - Partner with Sales, Customer Success, and Field Engineering to architect ML-driven solutions tailored to customer needs and deployment contexts. QUALIFICATIONS MUST-HAVES

", "datePosted": "2026-06-12T10:25:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "d49cc90da92807c2adb90c033058219c" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Bachelors", "url": "https://fewerjobs.com/jobs/voxel-energy/software-engineer-perception-d49cc90d" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/voxel-energy/tier-2-support-engineer-8384d22a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Tier 2 Support Engineer", "description": "

Tier 2 Support Engineer at Voxel Energy - Remote - Tier 2 Support Engineer Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Tier 2 Support Engineer at Voxel, you will be the critical second line of defense for our enterprise customers, owning complex technical issues that require deeper investigation beyond front-line support. You'll work directly with customers, internal CS teams, and engineering to diagnose problems, drive resolution, and ensure a seamless platform experience across diverse deployment environments. This role is ideal for a technically strong engineer who enjoys solving ambiguous problems, communicates clearly with customers, and wants to work at the cutting edge of AI-powered computer vision. WHAT YOU'LL DO - Own and resolve escalated technical issues from Tier 1, serving as the primary point of escalation for complex platform, network, and hardware-related problems. - Conduct deep-dive troubleshooting across Voxel's edge AI platform, including device connectivity, camera configurations, network infrastructure, and software behavior. - Collaborate closely with Customer Success Managers to communicate issue status, set expectations, and ensure timely resolution for enterprise accounts. - Reproduce and document

", "datePosted": "2026-06-12T10:25:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "8384d22ac8aabdde5058866c392fe27c" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "UNKNOWN" }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/tier-2-support-engineer-8384d22a" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/voxel-energy/customer-success-associate-67f68cf4", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Customer Success Associate", "description": "

Customer Success Associate at Voxel Energy - Remote - Customer Success Associate Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Customer Success Associate at Voxel, you will be on the front lines of helping customers get real value from our platform. You'll own the onboarding and training experience for new users, manage a book of existing sites, and serve as the primary point of contact for a set of mid-market accounts. Working closely with senior Customer Success Managers, you'll ensure customers are set up for long-term success from day one. This is an excellent opportunity for someone early in their career who is passionate about customer experience, eager to learn the craft of enterprise customer success, and excited to work at the intersection of AI and industrial safety. WHAT YOU'LL DO - Lead onboarding and training sessions for new users across customer sites, ensuring smooth adoption of the Voxel platform. - Manage a book of existing sites, maintaining strong relationships and driving ongoing platform engagement. - Own end-to-end customer relationships for a portfolio of mid-market accounts,

", "datePosted": "2026-06-12T10:25:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "67f68cf4b8c9ab8c1b2cc793d8186de0" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "UNKNOWN" }, "directApply": false, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/customer-success-associate-67f68cf4" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/voxel-energy/customer-success-manager-mid-market-27c71f30", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Customer Success Manager, Mid-Market", "description": "

Customer Success Manager, Mid-Market at Voxel Energy - Remote - Customer Success Manager, Mid-Market Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Mid-Market Customer Success Manager at Voxel, you will own the full post-sale lifecycle for a portfolio of mid-market accounts, from onboarding through renewal and expansion. You'll serve as the primary relationship owner for your customers, driving platform adoption, delivering measurable value, and ensuring long-term retention. You'll also work closely with Customer Success Associates who support site-level training and deployment across your book of business. This is a great fit for a driven CSM who thrives on owning outcomes, building strong customer relationships, and operating with a high degree of autonomy. WHAT YOU'LL DO - Own end-to-end customer relationships across a portfolio of mid-market accounts, serving as the primary point of contact post-sale. - Drive successful onboarding and time-to-value for new customers, coordinating closely with Solutions Engineering and CS Associates. - Develop and execute account plans that drive platform adoption, engagement, and measurable safety and operational outcomes. - Lead regular business reviews with customer stakeholders, communicating

", "datePosted": "2026-06-12T10:25:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "27c71f3009548c086b093d993d58a9df" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "UNKNOWN" }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/customer-success-manager-mid-market-27c71f30" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/voxel-energy/tier-3-support-engineer-1d9db8ea", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Tier 3 Support Engineer", "description": "

Tier 3 Support Engineer at Voxel Energy - Remote - Tier 3 Support Engineer Remote WHO WE ARE Industrial labor powers our world and protecting the people who do that work is both a moral imperative and a business advantage. At Voxel, we're transforming workplace safety and operational efficiency through AI-driven computer vision technology that helps organizations see unseen risks before incidents occur. Voxel's platform enables Fortune 500 safety and operations leaders to uncover root causes, drive proactive risk reduction, and make smarter, data-driven decisions. Our Solutions Engineering team ensures customers successfully adopt, deploy, and scale Voxel across complex enterprise environments. THE ROLE As a Tier 3 Support Engineer at Voxel, you are the deepest technical escalation point in our support organization, the last line of defense before Engineering. You will own the most complex, high-severity issues across our platform, working at the code and infrastructure level to diagnose root causes and drive permanent fixes. You'll serve as a critical bridge between Support, Engineering, and Product, influencing how we build for reliability and scale. This role is built for a seasoned engineer who combines deep technical expertise with strong customer instincts and a passion for solving problems others can't. WHAT YOU'LL DO - Own resolution of the most complex, high-severity escalations across Voxel's platform, including issues spanning edge hardware, networking, AI inference, and cloud infrastructure. - Conduct root cause analysis at the code, configuration, and infrastructure level, partnering directly with Engineering to drive permanent fixes. - Act as the authoritative technical escalation point for Tier 2, Customer Success, and Solutions

", "datePosted": "2026-06-12T10:25:24.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "1d9db8ea5cc0d4cfd20410f6ccf11a46" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "UNKNOWN" }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/tier-3-support-engineer-1d9db8ea" } }, { "@type": "ListItem", "position": 6, "url": "https://fewerjobs.com/jobs/voxel-energy/founding-forward-deployed-engineer-bc09345e", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Founding Forward Deployed Engineer", "description": "

Founding Forward Deployed Engineer at Voxel Energy - San Francisco, CA | Hybrid | Remote - Founding Forward Deployed Engineer San Francisco, CA | Hybrid | Remote WHO ARE WE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. THE ROLE You will act as the tip of the spear for our go-to-market efforts. By rapidly prototyping, integrating with legacy data streams, and shipping production-ready code, you will directly convert operational bottlenecks into scalable platform features. As the first engineer in this function, you will define how Voxel ships software to the field and build the technical foundation necessary to scale our deployment velocity. If you enjoy building computer vision systems that operate outside the lab - learning from messy real-world data and shipping models that directly improve safety and operations - this role offers the opportunity to have a direct impact on how industrial facilities operate. WHAT YOU'LL DO Build enterprise deployments - Ship for impact. Architect and write the code that makes Voxel work in the real world. You will build the end-to-end systems (frontend, backend, infrastructure) that unlock massive operational efficiency for enterprise customers. - Integrate our computer vision models with messy, existing facility infrastructure and legacy data streams. - Example Use Case: Architecting an end-to-end system for

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "bc09345efd91a145b1ef8e9c66a0dd2d" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/founding-forward-deployed-engineer-bc09345e" } }, { "@type": "ListItem", "position": 7, "url": "https://fewerjobs.com/jobs/voxel-energy/tech-lead-manager-vision-and-ai-970da72c", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Tech Lead Manager, Vision & AI", "description": "

Tech Lead Manager, Vision & AI at Voxel Energy - San Francisco, CA | Hybrid | Remote - Tech Lead Manager, Vision & AI San Francisco, CA | Hybrid | Remote ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a Tech Lead Manager to own the applied ML work that drives every new capability we ship. You'll set technical direction, write code, make architecture calls, and build a small team of engineers who take modern ML (VLMs, segmentation, tracking, temporal models) and turn it into things that work in real warehouses, on all kinds of cameras, for demanding customers. This is a hands-on role. You'll ship weekly, debug production problems, sit on customer calls, and own outcomes end to end. If you want a research org behind you, this isn't it. If you want to see your model running in 200 facilities weeks after you trained it, read on. WHAT YOU'LL DO - Set technical direction for Voxel's vision and ML capabilities: what we build, how we build it, how we know it works. - Hire and lead a small team of applied ML engineers. Set the bar, set the goals, set the culture. - Stay in the code. Architecture decisions, model reviews,

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "970da72cbd974fc84368b5cb1b667db8" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/tech-lead-manager-vision-and-ai-970da72c" } }, { "@type": "ListItem", "position": 8, "url": "https://fewerjobs.com/jobs/voxel-energy/enterprise-account-executive-industrial-and-supply-chain-8c8fb04a", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Enterprise Account Executive, Industrial & Supply Chain", "description": "

Enterprise Account Executive, Industrial & Supply Chain at Voxel Energy - Remote - Enterprise Account Executive, Industrial & Supply Chain Remote Who Are We Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. We're seeking an experienced Enterprise Sales Director with a strong track record in B2B technology sales, ideally in SaaS-based EHNS, business insights, or risk management. This role will play a critical part in expanding our presence within operations and safety departments at Fortune 500 companies. The ideal candidate thrives in a fast-paced environment, excels at building and managing strategic relationships, and is passionate about solving complex challenges. You'll help drive growth across departments and functions, positioning Voxel as a trusted partner in safety. The Opportunity We are seeking two highly motivated Enterprise AE's to drive net-new revenue growth across large enterprise accounts. This is a true hunter role focused on acquiring strategic Fortune 500 customers within manufacturing, logistics, warehousing, transportation, retail distribution, and industrial operations. The ideal candidate has experience selling complex enterprise software or technology solutions into operations leaders, supply chain executives, safety organizations, manufacturing leaders, or logistics teams. They have consistently closed high-value enterprise deals, built executive-level relationships, and navigated long, multi-stakeholder sales cycles. You thrive in ambiguity, enjoy building territories from the

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "8c8fb04a6ef94ae66193e1c204dc1ff1" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "UNKNOWN" }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/enterprise-account-executive-industrial-and-supply-chain-8c8fb04a" } }, { "@type": "ListItem", "position": 9, "url": "https://fewerjobs.com/jobs/voxel-energy/general-opportunity-882eea1e", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "General Opportunity", "description": "

General Opportunity at Voxel Energy - Remote - General Opportunity Remote WHO ARE WE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. THE ROLE General Application - Future Opportunities At Voxel, we're always looking to connect with talented, mission-driven individuals who are excited about using AI to make the workplace safer and more efficient. Even if we don't have a role open today that matches your background, we'd still love to hear from you. We regularly review general applications and reach out when there's a strong fit with upcoming opportunities across teams like Customer Success, Sales, Engineering, Product, and Operations. WHAT YOU MIGHT WORK ON Depending on your background and interests, you could: - Partner with customers to translate AI-driven insights into meaningful operational and safety improvements - Analyze data to identify trends, risks, and opportunities for impact - Build and scale systems, products, or processes that drive real-world outcomes - Support onboarding, implementation, and long-term customer success - Collaborate cross-functionally with Product, Engineering, and Go-To-Market teams - Contribute to playbooks, tools, and best practices as we grow WHO WE'RE LOOKING FOR We're excited to hear from you if you: - Are passionate about improving safety, operations, or risk through technology -

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "882eea1ed24edffa207a2c439be2111a" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocationType": "TELECOMMUTE", "applicantLocationRequirements": { "@type": "Country", "name": "UNKNOWN" }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/general-opportunity-882eea1e" } }, { "@type": "ListItem", "position": 10, "url": "https://fewerjobs.com/jobs/voxel-energy/senior-software-engineer-ml-infrastructure-8213ba81", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Software Engineer, ML Infrastructure", "description": "

Senior Software Engineer, ML Infrastructure at Voxel Energy - San Francisco, CA | Hybrid | Remote - Senior Software Engineer, ML Infrastructure San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the ML Infrastructure that powers how Voxel trains and ships vision models. You'll build systems that let our applied ML team train multiple models concurrently, manage experiments and ship optimized models to production. You'll set technical direction, write code, make architecture calls, and partner closely with applied CV, ML Data and Platform engineers. WHAT YOU'LL DO - Build and maintain

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "8213ba810e99c32dc8374e7d692b8fcd" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/senior-software-engineer-ml-infrastructure-8213ba81" } }, { "@type": "ListItem", "position": 11, "url": "https://fewerjobs.com/jobs/voxel-energy/staff-software-engineer-ml-infrastructure-76c02abd", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Staff Software Engineer, ML Infrastructure", "description": "

Staff Software Engineer, ML Infrastructure at Voxel Energy - San Francisco, CA | Hybrid | Remote - Staff Software Engineer, ML Infrastructure San Francisco, CA | Hybrid | Remote WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a Staff Software Engineer to own ML Infrastructure at Voxel. Our applied ML team is shipping vision models into production every week, across thousands of cameras at Fortune 500 customers, and the infrastructure underneath determines how fast we can move. You'll set the technical direction for how we train, track, and ship vision models, build the foundational systems that the applied ML team relies on, and

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "76c02abd688e066b9b0f8343772422ed" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/staff-software-engineer-ml-infrastructure-76c02abd" } }, { "@type": "ListItem", "position": 12, "url": "https://fewerjobs.com/jobs/voxel-energy/senior-software-engineer-ml-data-36370259", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Senior Software Engineer, ML Data", "description": "

Senior Software Engineer, ML Data at Voxel Energy - San Francisco, CA | Hybrid | Remote - Senior Software Engineer, ML Data San Francisco, CA | Hybrid | Remote SENIOR SOFTWARE ENGINEER, ML DATA San Francisco, CA · Hybrid · Reports to Head of Vision & AI WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the data infrastructure required to train and evaluate our ML models. You'll work with petabytes of data streaming from thousands of live customer cameras, and build pipelines to ingest, search, label, version and store the highest quality of data required to train

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Voxel Energy", "value": "36370259d44d742fe37d0b0584b606bc" }, "hiringOrganization": { "@type": "Organization", "name": "Voxel Energy" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US", "addressLocality": "San Francisco" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/voxel-energy/senior-software-engineer-ml-data-36370259" } } ] } ] }