Job description

At Intenseye, we believe protecting people at work is non-negotiable. That’s why we’re building the world’s most advanced AI-powered platform for industrial environments, designed to help organizations move from reactive programs to proactive risk prevention across safety, operations, and quality management. Our technology gives enterprises the ability to see risk and inefficiency as they emerge, take action in real time, and prevent incidents before they happen. Powered by cutting-edge AI and Intenseye’s proprietary Sentinel hardware, our platform delivers ethical, highly accurate intelligence across complex worksites. EHS, operations, and quality teams gain continuous leading indicators, deep operational insight, and unprecedented visibility into how work actually happens. Today, Intenseye helps protect hundreds of thousands of workers across 25+ countries—and we’re just getting started. About Intenseye We build industrial AI where the work happens. Our edge vision systems plug into real workplaces. They help teams spot risk early, act fast, and keep people and goods moving. Safety is part of the job, not an add-on. We think long term about how factories and DCs should run in ten years and ship tools that move that future into the present. What we actually do: Build fast, reliable models that understand complex physical environments. Package them into plug-and-play workflows that teams adopt in hours, not months. Close the loop from hazard signal to action to measurement to improvement on live floors. Forward Deployed Engineer at Intenseye You help us get edge AI running in real factories and warehouses, then keep it working. You meet the team, watch how the work actually happens, sketch a simple plan, build a prototype, try it on site, and adjust. When something breaks, you fix it. You write things down so the next install is easier. One week you’re on the floor at 7am. observing how things operate. Next you tighten a flow end to end: detect, track, time, alert, then sit with their team to see if you actually solve the problem. You tune it until it’s boring and reliable. You work with backend, frontend, and research teams, share what you learned, and turn the field fix into something we can reuse. There is no playbook. You will help write it and scale deployments across regions. About you: Practical problem solver who enjoys real-world constraints and still ships Customer facing by default; you turn vague goals into crisp scopes and success criteria Comfortable testing, developing, and validating edge AI flows on site with the users Clear communicator with technicians in the morning and exec team in the afternoon You have built and deployed products end to end, ideally in startups Collaborative; you share context, teach, learn, and iterate with feedback Strong plus: past founder or early builder who has owned outcomes front to back Nice to have, not required: computer vision or edge systems experience; background in manufacturing, logistics, or industrial settings. This position is based out of our NYC office and requires three days in the office. What you will work on: Edge AI for safety and operations: detect hazards, track interactions, time exposure, and verify fixes Turn signals into actions with evidence and simple feedback loops that crews trust Generalize field work into reusable modules, playbooks, and product improvements Background: 1+ years of relevant, post-college work experience Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science Strong coder with shown proficiency in programming languages such as Python, TypeScript/JavaScript, React or similar Ability and interest to travel up to 30%, as needed to client site s Intenseye is proud to be an Equal Opportunity Employer. We are committed to building a diverse, inclusive, and equitable workplace where every team member feels valued and empowered. We recruit, hire, train, compensate, and promote without regard to race, color, age, sex, ancestry, marital status, religion, national origin, physical or mental disability, sexual orientation, gender identity or expression, medical condition, pregnancy, veteran status, genetic information, or any other characteristic protected by applicable law. We know that not everyone will meet 100% of the listed qualifications, and that’s OK. Research shows that individuals from underrepresented groups often hesitate to apply unless they meet every criterion. If you’re excited about our mission and believe you can have an impact in this role, we strongly encourage you to apply . Your experience, skills, and perspective may be exactly what we’re looking for.

Requirements

Must-haves

At Intenseye, we believe protecting people at work is non-negotiable.
Today, Intenseye helps protect hundreds of thousands of workers across 25+ countries—and we’re just getting started.
Forward Deployed Engineer at Intenseye
There is no playbook. You will help write it and scale deployments across regions.
Practical problem solver who enjoys real-world constraints and still ships
Customer facing by default; you turn vague goals into crisp scopes and success criteria
Comfortable testing, developing, and validating edge AI flows on site with the users
Clear communicator with technicians in the morning and exec team in the afternoon
You have built and deployed products end to end, ideally in startups
Collaborative; you share context, teach, learn, and iterate with feedback
Strong plus: past founder or early builder who has owned outcomes front to back
Edge AI for safety and operations: detect hazards, track interactions, time exposure, and verify fixes
Turn signals into actions with evidence and simple feedback loops that crews trust
Generalize field work into reusable modules, playbooks, and product improvements
1+ years of relevant, post-college work experience
Strong coder with shown proficiency in programming languages such as Python, TypeScript/JavaScript, React or similar
Ability and interest to travel up to 30%, as needed to client site s

Nice-to-haves

Nice to have, not required: computer vision or edge systems experience; background in manufacturing, logistics, or industrial settings.
Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science

Application prep

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Keywords to mirror

aisketchpythontypescriptjavascriptreact

Platform: lever
Effort: quick

Benefits

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Vision