Founding Forward Deployed Engineer
About IntenseyeWe 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 floorsForward Deployed Engineer at IntenseyeYou 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 shipsCustomer facing by default; you turn vague goals into crisp scopes and success criteriaComfortable testing, developing, and validating edge AI flows on site with the usersClear communicator with technicians in the morning and exec team in the afternoonYou have built and deployed products end to end, ideally in startupsCollaborative; you share context, teach, learn, and iterate with feedbackStrong plus: past founder or early builder who has owned outcomes front to backNice to have, not required: computer vision or edge systems experience; background in manufacturing, logistics, or industrial settings. What you will work on:Edge AI for safety and operations: detect hazards, track interactions, time exposure, and verify fixesTurn signals into actions with evidence and simple feedback loops that crews trustGeneralize field work into reusable modules, playbooks, and product improvements What will impress usProof you reduced risk or improved a flow in the real worldLinks to tools, dashboards, or deployments you shippedHobbies or obsessions you have taken to the next level Background:1+ years of relevant, post-college work experienceStrong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data ScienceStrong coder with shown proficiency in programming languages such as Python, TypeScript/JavaScript, React or similarAbility and interest to travel up to 30%, as needed to client sites About intenseye:About Intenseye:Founded in late 2018 (first enterprise customer win in Feb 2020)Series B of $64m (March 2024) - Lightspeed Team of x115 across NYC (HQ), Istanbul & BerlinFirst company to target Health and Safety use cases with this AI/ML & Computer VisionMajority of customer wins via in-bound leads / Linkedin content alonePrivacy by design / We annomise all employees data (GDPR / SOC2 Compliant)Saving lives whilst preventing significant revenue loss for our customers! Interview ProcessZoom chat with our CTO (30 mins)Zoom interview with VP, People (30 mins)On-site with CEO, CTO and team with a presentation (120 mins)Zoom interview with our CEO (30 mins) $130,000 - $180,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: New York
Salary range: None - None