Founding Forward Deployed Engineer
intenseye
New York, NY, USA
Posted on Sep 16, 2025
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.
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
What will impress us
- Proof you reduced risk or improved a flow in the real world
- Links to tools, dashboards, or deployments you shipped
- Hobbies or obsessions you have taken to the next level
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 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 & Berlin
- First company to target Health and Safety use cases with this AI/ML & Computer Vision
- Majority of customer wins via in-bound leads / Linkedin content alone
- Privacy by design / We annomise all employees data (GDPR / SOC2 Compliant)
- Saving lives whilst preventing significant revenue loss for our customers!
Interview Process
- Zoom 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)