Summary
✨ AI‑Generated
An early-stage engineering opportunity for a versatile developer who can work across the stack, build intelligent systems, integrate business software, and take ownership of critical technical challenges.
Highlights
High-ownership engineering role with opportunity to shape architecture, build core systems, and contribute directly from an early stage.
Description
Role Overview
Navi is end-to-end production planning, from sales order to shop floor.
We connect to a factory’s ERP, learn how it actually runs, and use AI agents plus mathematical optimization to handle the material planning and scheduling in between.
We started from the factory floor and are solving problems we have hit firsthand.
We are a small team working on high-stakes problems, in person in NYC, starting early.
That is not for everyone and we respect it.
Before you apply, think about whether you actually want to work this way.
It is easy to be excited in an interview and burned out by month two.
The upside of that reality is real ownership from the start and room to grow as the company does.
First round is a technical interview.
You write a small, smart Python script, no AI assistance.
If that is not something you can do on your own, we would rather not spend the time, yours or ours.
What You'll Do
Work across the stack: data pipelines and ERP integrations, agent workflows, the interfaces planners actually useOwn problems end to end.
Scope it, build it, ship it, keep it runningBuild software that real factories depend on, where wrong output has consequences on a production floorPick up whatever the problem requires.
New domains, new tools, unfamiliar codebases
The majority of your time will be spent designing and implementing frontend systems.
This is not marketing UI.
This is high-density operational software.
Who We're Looking For
Strong generalist engineer.
Language and framework agnostic.
We care that you can learn fast and build wellCreative and proactive.
You find the problem worth solving instead of waiting to be handed oneLow ego.
Strong opinions, held loosely, dropped quickly when the evidence says otherwiseSelf-taught by default.
You go read the source, the spec, the paperJudgment about AI.
You know when to let a model do the work, when to do it yourself, and how to tell the difference.
Neither the engineer who won’t touch it nor the one who ships whatever it producesComfortable with ambiguity and messy real-world data
Nice to Have
Manufacturing, supply chain, ERP, or ops experienceBuilding on LLMs in production, not just demos
What We Offer
$80,000 to $120,000 baseCompetitive equityWe are not able to sponsor or transfer employment visas for this role.
Applicants must be authorized to work in the U.S.
without current or future sponsorship.
