{ "slug": "zensors", "canonical_name": "Zensors", "website": "https://zensors.com", "ats": "ashby", "top_startup": true, "top_startup_sources": [ "yc" ], "total_active_jobs": 5, "verified_benefits": { "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "source_url": null, "verified_count": 0, "last_verified": null }, "awards": null, "jobs": [ { "id": "bbab9055fac04e8e8a83df7b42efb488", "title": "AI Solutions Specalist", "employer_name": "Zensors", "employer_slug": "zensors", "location_text": "San Francisco | OnSite", "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/zensors/f87eb0cc-820f-4cc4-8523-8fe8db7b3407", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI Solutions Specalist San Francisco | OnSite ABOUT THE ROLE We are seeking an adaptable, AI-native professional to bridge the gap between our cutting-edge Physical AI solutions and our enterprise customers. Operating as a hybrid technical consultant and product evangelist, you possess an insatiable willingness to learn how our models interact with the real world. You take deep personal responsibility for the customer journey, are completely fearless in the face of the unknown, and thrive on solving complex, unprecedented problems. In this role, you will own the deployment process, troubleshoot at the intersection of hardware and software, organically upsell services, and transform everyday users into passionate brand ambassadors. KEY RESPONSIBILITIES - Deploy & Troubleshoot: Take full responsibility for guiding customers through the setup, configuration, and rollout of Physical AI. You will relentlessly solve complex, multi-layered technical issues that arise in unpredictable real-world environments. - Drive Success & Upsell: Deeply understand customer business goals to suggest the best AI products for their needs, promoting product value and seamlessly upselling services based on a stellar user experience. - Champion the Brand: Cultivate an energetic fan base around our physical AI products, identifying and partnering with power users to act as vocal brand ambassadors. - Educate & Enable: Act as the internal subject matter expert, creating engaging training courses and educational materials to upskill our department on physical AI models and deployment strategies. - Optimize the Experience: Review customer feedback and technical roadblocks through a design-thinking lens, proactively improving deployment processes and enhancing", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "sales", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "b46989d8d3c8a5cae6781149f1940964", "title": "Product Marketing Lead - Spatial AI", "employer_name": "Zensors", "employer_slug": "zensors", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "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/zensors/3f41e610-65ac-4fef-8a93-2d59b27c09c1", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Product Marketing Lead - Spatial AI San Francisco | OnSite ABOUT THE ROLE As Zensors' first Product Marketing leader, you have the unique opportunity to tell the story of how Physical AI will fundamentally transform the world around us. We are looking for an AI-native marketing visionary who naturally thinks outside the box. From reimagining airport operations to optimizing smart spaces, you will translate complex, cutting-edge technology into a compelling, human-centric narrative. You will own our product positioning and build our product marketing strategy from the ground up. You will act as a market educator, unpacking the \"black box\" of AI for our buyers, while continuously experimenting with new, unconventional ways to drive awareness. As an early marketing hire, you will act as a core thought leader, directly shaping the go-to-market journey of a pioneering company and delivering an outsized impact on our growth. KEY RESPONSIBILITIES - Storytelling & Positioning: Think completely outside the box to craft and refine product positioning, establishing Zensors as the undisputed market leader in Physical AI. Structure the overarching GTM message and ensure absolute consistency across all communications. - Educate & Evangelize: Act as the premier educator for our target market. Break down complex deep learning and computer vision concepts into accessible, value-driven narratives for B2B buyers. - Agile Experimentation: Continuously hypothesize, launch, and measure experimental marketing campaigns. Use an agile approach to test new channels, content formats, and growth hacks to increase product adoption. - GTM & Product Launches: Work closely alongside the product", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "engineering", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "a1bf029fac3d0b06079a6a4c40c090ba", "title": "ML Ops / Dev Ops Engineer", "employer_name": "Zensors", "employer_slug": "zensors", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "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/zensors/8ec79427-0fc9-4df6-9b0d-121abae98e97", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "ML Ops / Dev Ops Engineer San Francisco | OnSite Zensors is the spatial intelligence platform for the physical world. Our AI platform provides real-time insights-from airport queue times to office utilization-helping organizations make smarter operational decisions. Zensors processes massive streams of video data 24/7 with human-level accuracy. To do this at scale, we rely on cutting-edge optimization to ensure our vision transformers and spatial models run efficiently on both cloud and edge compute resources. Learn more at www.zensors.com http://www.zensors.com. ABOUT THE ROLE As an ML / DevOps Engineer, you will play a pivotal role in advancing our infrastructure, scaling enterprise deployment workflows, and refining automation architectures to enable rapid iteration across the organization. You will sit at the critical intersection of machine learning and systems engineering. This role requires deep technical expertise not just in cloud-native tools, but also in the foundational Linux systems and networking required to process high-throughput video data reliably and securely across both cloud and edge environments. KEY RESPONSIBILITIES - Infrastructure & Automation Strategy: Drive the design and implementation of automated infrastructure deployment and validation workflows supporting our cutting-edge AI and computer vision initiatives. - Video Pipeline Operations: Design, optimize, and manage the infrastructure specifically tailored for ingesting, processing, and analyzing real-time video streams at scale. You will ensure high throughput, low latency, and rock-solid reliability for critical CV workloads. - Systems & Networking Core: Maintain a strong systems foundation by managing high-performance Linux environments. You will architect and troubleshoot complex networking configurations (both cloud", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "9cd2accfed7c6f47ce82a4818d030a13", "title": "AI/ML Infrastructure Engineer", "employer_name": "Zensors", "employer_slug": "zensors", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "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/zensors/d00b1704-5330-4af3-99e6-03ea02df8026", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "AI/ML Infrastructure Engineer San Francisco | OnSite The AI Infrastructure team at Zensors builds the engine that powers our visual sensing platform. We provide the tools to automate the lifecycle of our AI workflow, including model development, evaluation, optimization, deployment, and monitoring across thousands of video streams. As a Machine Learning Engineer in ML Runtime & Optimization, you will develop technologies to accelerate the training and inference of computer vision models that power smart spaces and cities. Your responsibilities will include: - Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures. - Cross-Stack Collaboration: Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure. - Model Acceleration: Applying advanced model optimization techniques-such as quantization (Int8/FP16), pruning, and layer fusion-to our Vision Transformers (ViTs) and CNNs to maximize throughput and minimize latency. - Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries. - Resource Efficiency: Reducing the compute cost per video stream to enable massive scalability of our SaaS product. - Data Management: Building, improving, maintaining, and operating systems to facilitate the collection, labeling, and use of visual data for ML training. REQUIREMENTS - BS/MS or Ph.D. in Computer Science, Electrical Engineering, or a related discipline. - Strong programming skills in C/C++", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "mid", "years_experience_min": 3, "years_experience_max": 7, "role_function": "data", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "doctorate", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] }, { "id": "18a8766f749f4c5e754d8841b5814479", "title": "Enterprise Account Executive", "employer_name": "Zensors", "employer_slug": "zensors", "location_text": "San Francisco | OnSite", "country": "US", "employment_type": "unknown", "remote_status": "onsite", "remote_status_source": null, "remote_status_enriched_at": null, "days_in_office": 5, "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/zensors/7759f15b-7e6d-4cca-8d3b-7b1e4176454b", "apply_url_verified": false, "ats": "ashby", "url_last_checked_alive": null, "removed_at": null, "description_excerpt": "Enterprise Account Executive San Francisco | OnSite ABOUT THE ROLE As an Enterprise Account Executive at Zensors, you will have the rare opportunity to shape the strategy of our sales organization. You will focus on selling cutting-edge Physical AI into complex industries-primarily partnering with high-potential retailers and airports. You will be a strategic builder who excels at navigating multi-stakeholder enterprise deals. You will act as the \"voice of the customer\" internally, heavily influence our product direction, and create the foundational sales playbooks that will scale our revenue engine for years to come. KEY RESPONSIBILITIES - Full-Cycle Enterprise Sales: Manage complex, multi-stakeholder purchasing cycles from prospecting and establishing initial contact to negotiating agreements and closing long-term partnerships. - Land, Expand, & Evangelize: Demo and evangelize Zensors' Enterprise products to prospective clients. Reach out to new trials and users within existing accounts to expand use cases and drive revenue growth. - Voice of the Customer: Remain in frequent, strategic contact with your accounts to deeply understand their needs. Translate these insights to internal teams to influence the direction of the Zensors product. - Relationship Management: Obsess over providing a top-tier customer experience. Proactively address concerns, resolve issues, and build relationships based on deep trust and mutual satisfaction. - AI Value Understanding & Articulation: Deeply understand how Zensors' physical AI and computer vision models work. You must be able to translate complex technical capabilities into clear, compelling business value and measurable ROI for diverse enterprise stakeholders (from IT buyers to C-suite executives). IDEAL", "parental_leave_weeks": null, "non_birth_parent_leave_weeks": null, "parental_leave_weeks_source": null, "non_birth_parent_leave_weeks_source": null, "parental_leave_source_url": null, "pto_days": null, "unlimited_pto": false, "sabbatical_eligible": false, "family_friendly_score": 43, "benefit_verified": false, "benefit_last_verified": null, "hire_states_allowed": [], "state_eligibility_source": null, "state_eligibility_enriched_at": null, "llm_quality_pass_at": null, "seniority": "senior", "years_experience_min": 5, "years_experience_max": 9, "role_function": "sales", "employer_industry": null, "employer_size": "51-200", "quality_score": 45, "travel_pct": null, "requires_shift": null, "shift_type": "unknown", "shift_type_source": null, "weekend_work": "unknown", "weekend_work_source": null, "relocation_assistance_source": null, "contractor_w2": "unknown", "required_timezone": null, "fertility_family_building_benefits_source": null, "mental_health_support_source": null, "adoption_assistance_offered_source": null, "childcare_subsidy_source": null, "learning_budget_offered_source": null, "surrogacy_assistance_offered_source": null, "cover_letter_required": null, "cover_letter_required_source": null, "assessment_required": null, "assessment_required_source": null, "application_deadline": null, "application_deadline_source": null, "visa_sponsorship": false, "us_citizenship_required": false, "security_clearance": "none", "education_required": "none", "roll_up_count": null, "roll_up_total_locations": null, "explanations": [] } ], "json_ld": [ { "@context": "https://schema.org", "@type": "Organization", "name": "Zensors", "url": "https://zensors.com", "sameAs": [] }, { "@context": "https://schema.org", "@type": "ItemList", "name": "Zensors open jobs", "itemListElement": [ { "@type": "ListItem", "position": 1, "url": "https://fewerjobs.com/jobs/zensors/ai-solutions-specalist-bbab9055", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI Solutions Specalist", "description": "

AI Solutions Specalist at Zensors - San Francisco | OnSite - AI Solutions Specalist San Francisco | OnSite ABOUT THE ROLE We are seeking an adaptable, AI-native professional to bridge the gap between our cutting-edge Physical AI solutions and our enterprise customers. Operating as a hybrid technical consultant and product evangelist, you possess an insatiable willingness to learn how our models interact with the real world. You take deep personal responsibility for the customer journey, are completely fearless in the face of the unknown, and thrive on solving complex, unprecedented problems. In this role, you will own the deployment process, troubleshoot at the intersection of hardware and software, organically upsell services, and transform everyday users into passionate brand ambassadors. KEY RESPONSIBILITIES - Deploy & Troubleshoot: Take full responsibility for guiding customers through the setup, configuration, and rollout of Physical AI. You will relentlessly solve complex, multi-layered technical issues that arise in unpredictable real-world environments. - Drive Success & Upsell: Deeply understand customer business goals to suggest the best AI products for their needs, promoting product value and seamlessly upselling services based on a stellar user experience. - Champion the Brand: Cultivate an energetic fan base around our physical AI products, identifying and partnering with power users to act as vocal brand ambassadors. - Educate & Enable: Act as the internal subject matter expert, creating engaging training courses and educational materials to upskill our department on physical AI models and deployment strategies. - Optimize the Experience: Review customer feedback and technical roadblocks through a design-thinking lens, proactively improving deployment processes and enhancing

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zensors", "value": "bbab9055fac04e8e8a83df7b42efb488" }, "hiringOrganization": { "@type": "Organization", "name": "Zensors" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zensors/ai-solutions-specalist-bbab9055" } }, { "@type": "ListItem", "position": 2, "url": "https://fewerjobs.com/jobs/zensors/product-marketing-lead-spatial-ai-b46989d8", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Product Marketing Lead - Spatial AI", "description": "

Product Marketing Lead - Spatial AI at Zensors - San Francisco | OnSite - Product Marketing Lead - Spatial AI San Francisco | OnSite ABOUT THE ROLE As Zensors' first Product Marketing leader, you have the unique opportunity to tell the story of how Physical AI will fundamentally transform the world around us. We are looking for an AI-native marketing visionary who naturally thinks outside the box. From reimagining airport operations to optimizing smart spaces, you will translate complex, cutting-edge technology into a compelling, human-centric narrative. You will own our product positioning and build our product marketing strategy from the ground up. You will act as a market educator, unpacking the "black box" of AI for our buyers, while continuously experimenting with new, unconventional ways to drive awareness. As an early marketing hire, you will act as a core thought leader, directly shaping the go-to-market journey of a pioneering company and delivering an outsized impact on our growth. KEY RESPONSIBILITIES - Storytelling & Positioning: Think completely outside the box to craft and refine product positioning, establishing Zensors as the undisputed market leader in Physical AI. Structure the overarching GTM message and ensure absolute consistency across all communications. - Educate & Evangelize: Act as the premier educator for our target market. Break down complex deep learning and computer vision concepts into accessible, value-driven narratives for B2B buyers. - Agile Experimentation: Continuously hypothesize, launch, and measure experimental marketing campaigns. Use an agile approach to test new channels, content formats, and growth hacks to increase product adoption. - GTM & Product Launches: Work closely alongside the product

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zensors", "value": "b46989d8d3c8a5cae6781149f1940964" }, "hiringOrganization": { "@type": "Organization", "name": "Zensors" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zensors/product-marketing-lead-spatial-ai-b46989d8" } }, { "@type": "ListItem", "position": 3, "url": "https://fewerjobs.com/jobs/zensors/ml-ops-dev-ops-engineer-a1bf029f", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "ML Ops / Dev Ops Engineer", "description": "

ML Ops / Dev Ops Engineer at Zensors - San Francisco | OnSite - ML Ops / Dev Ops Engineer San Francisco | OnSite Zensors is the spatial intelligence platform for the physical world. Our AI platform provides real-time insights-from airport queue times to office utilization-helping organizations make smarter operational decisions. Zensors processes massive streams of video data 24/7 with human-level accuracy. To do this at scale, we rely on cutting-edge optimization to ensure our vision transformers and spatial models run efficiently on both cloud and edge compute resources. Learn more at www.zensors.com http://www.zensors.com. ABOUT THE ROLE As an ML / DevOps Engineer, you will play a pivotal role in advancing our infrastructure, scaling enterprise deployment workflows, and refining automation architectures to enable rapid iteration across the organization. You will sit at the critical intersection of machine learning and systems engineering. This role requires deep technical expertise not just in cloud-native tools, but also in the foundational Linux systems and networking required to process high-throughput video data reliably and securely across both cloud and edge environments. KEY RESPONSIBILITIES - Infrastructure & Automation Strategy: Drive the design and implementation of automated infrastructure deployment and validation workflows supporting our cutting-edge AI and computer vision initiatives. - Video Pipeline Operations: Design, optimize, and manage the infrastructure specifically tailored for ingesting, processing, and analyzing real-time video streams at scale. You will ensure high throughput, low latency, and rock-solid reliability for critical CV workloads. - Systems & Networking Core: Maintain a strong systems foundation by managing high-performance Linux environments. You will architect and troubleshoot complex networking configurations (both cloud

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zensors", "value": "a1bf029fac3d0b06079a6a4c40c090ba" }, "hiringOrganization": { "@type": "Organization", "name": "Zensors" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zensors/ml-ops-dev-ops-engineer-a1bf029f" } }, { "@type": "ListItem", "position": 4, "url": "https://fewerjobs.com/jobs/zensors/ai-ml-infrastructure-engineer-9cd2accf", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "AI/ML Infrastructure Engineer", "description": "

AI/ML Infrastructure Engineer at Zensors - San Francisco | OnSite - AI/ML Infrastructure Engineer San Francisco | OnSite The AI Infrastructure team at Zensors builds the engine that powers our visual sensing platform. We provide the tools to automate the lifecycle of our AI workflow, including model development, evaluation, optimization, deployment, and monitoring across thousands of video streams. As a Machine Learning Engineer in ML Runtime & Optimization, you will develop technologies to accelerate the training and inference of computer vision models that power smart spaces and cities. Your responsibilities will include: - Optimizing Core ML Pipelines: Identifying key bottlenecks in our current video analytics pipeline and performing in-depth analysis to ensure the best possible performance on current server and edge compute architectures. - Cross-Stack Collaboration: Collaborating closely with AI research and platform engineering teams to optimize core parallel algorithms and influence the design of our next-generation inference infrastructure. - Model Acceleration: Applying advanced model optimization techniques-such as quantization (Int8/FP16), pruning, and layer fusion-to our Vision Transformers (ViTs) and CNNs to maximize throughput and minimize latency. - Building Efficient Operators: Working across the entire ML framework/compiler stack (e.g., PyTorch, CUDA, TensorRT, and NVIDIA DeepStream) to write custom optimized ML operator libraries. - Resource Efficiency: Reducing the compute cost per video stream to enable massive scalability of our SaaS product. - Data Management: Building, improving, maintaining, and operating systems to facilitate the collection, labeling, and use of visual data for ML training. REQUIREMENTS - BS/MS or Ph.D. in Computer Science, Electrical Engineering, or a related discipline. - Strong programming skills in C/C++

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zensors", "value": "9cd2accfed7c6f47ce82a4818d030a13" }, "hiringOrganization": { "@type": "Organization", "name": "Zensors" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 36 }, "educationRequirements": "Doctorate", "url": "https://fewerjobs.com/jobs/zensors/ai-ml-infrastructure-engineer-9cd2accf" } }, { "@type": "ListItem", "position": 5, "url": "https://fewerjobs.com/jobs/zensors/enterprise-account-executive-18a8766f", "item": { "@context": "https://schema.org", "@type": "JobPosting", "title": "Enterprise Account Executive", "description": "

Enterprise Account Executive at Zensors - San Francisco | OnSite - Enterprise Account Executive San Francisco | OnSite ABOUT THE ROLE As an Enterprise Account Executive at Zensors, you will have the rare opportunity to shape the strategy of our sales organization. You will focus on selling cutting-edge Physical AI into complex industries-primarily partnering with high-potential retailers and airports. You will be a strategic builder who excels at navigating multi-stakeholder enterprise deals. You will act as the "voice of the customer" internally, heavily influence our product direction, and create the foundational sales playbooks that will scale our revenue engine for years to come. KEY RESPONSIBILITIES - Full-Cycle Enterprise Sales: Manage complex, multi-stakeholder purchasing cycles from prospecting and establishing initial contact to negotiating agreements and closing long-term partnerships. - Land, Expand, & Evangelize: Demo and evangelize Zensors' Enterprise products to prospective clients. Reach out to new trials and users within existing accounts to expand use cases and drive revenue growth. - Voice of the Customer: Remain in frequent, strategic contact with your accounts to deeply understand their needs. Translate these insights to internal teams to influence the direction of the Zensors product. - Relationship Management: Obsess over providing a top-tier customer experience. Proactively address concerns, resolve issues, and build relationships based on deep trust and mutual satisfaction. - AI Value Understanding & Articulation: Deeply understand how Zensors' physical AI and computer vision models work. You must be able to translate complex technical capabilities into clear, compelling business value and measurable ROI for diverse enterprise stakeholders (from IT buyers to C-suite executives). IDEAL

", "datePosted": "2026-06-10T03:52:15.000Z", "employmentType": "OTHER", "identifier": { "@type": "PropertyValue", "name": "Zensors", "value": "18a8766f749f4c5e754d8841b5814479" }, "hiringOrganization": { "@type": "Organization", "name": "Zensors" }, "jobLocation": { "@type": "Place", "address": { "@type": "PostalAddress", "addressCountry": "US" } }, "directApply": false, "experienceRequirements": { "@type": "OccupationalExperienceRequirements", "monthsOfExperience": 60 }, "educationRequirements": "no requirements", "url": "https://fewerjobs.com/jobs/zensors/enterprise-account-executive-18a8766f" } } ] } ] }