
See and control all AI activity across your enterprise
Most engineers build for a customer they've never met. You'd do the opposite. You'd be inside real enterprises, deploying Oximy across thousands of users, solving the messy problems that only show up in production at a company that's nothing like a demo.
This is some of the hardest and most satisfying engineering there is. MDM rollouts across Mac and Windows fleets. Proxy chaining through Zscaler. SSO and first-party API integrations. Browser extensions that have to survive whatever weird security stack a 50,000-person company runs. The kind of work where it either works in the real world or it doesn't, and you're the person who makes it work.
And because you're the one in the room when it breaks, you become our sharpest source of truth about what to build next. Forward-deployed engineers don't just ship the product, they shape it. You'll close the loop between what enterprises actually need and what we build, and that loop is how we win.
You'd own the hardest, highest-leverage surface in the company, the place where the product meets the real world, working alongside a founder who was a partner at a Sam Altman-backed company and sold his first startup early. Enterprises are already deploying Oximy to thousands of users, so this is real from day one, not a someday promise. If you want to learn how enterprise software actually gets into the world, there's no better seat. Apart from that:
AI is already everywhere inside every company and in everyone's hands, and almost no one can see what's actually happening: which tools, whose work, what it costs, where it leaks, whether any of it is paying off.
Oximy is the system of record for how the world uses AI. We sit in the path of how people actually work with AI, turn it into one clear picture across every tool and team, and give companies the visibility and control to make that usage safe, accountable, and genuinely better over time.
This is one of the defining shifts of the decade, and right now it's invisible and badly understood. The company that makes it legible and controllable owns it. We're building for everyone that shift touches: the engineer shipping with AI, the team lead spreading what works, the finance and security leaders who have to answer for it, and the person just trying to use AI well at work.
We're assembling a small team of exceptional builders who want to define how an entire era of work gets seen, governed, and made better. If that's the bet you want to be making, you'll do the most important work of your career here.