Founding Engineering Lead

Trillions of dollars flow into global R&D every year, and a massive share goes to researchers manually reading papers, writing literature reviews, and assembling evidence packages. This work decides whether a new drug or medical device reaches patients, and almost all of it is still done by hand.

AnswerThis is building the research workspace for scientific knowledge inside enterprises. Our agents search, synthesize, and draft evidence-based research autonomously. We have 200K+ researchers on the platform across universities and Fortune 500 companies, and we're going deep into life sciences, where the workflows are most manual and the stakes are highest. YC-backed, growing fast, small on purpose.

• Research is still hard to search. Semantic search improved things, but finding the right evidence across fragmented sources remains unsolved.
• Research can't update itself. A literature review is a snapshot. The underlying data changes constantly. Nobody has a good answer for keeping research current.
• Drafting is painful. Scientists spend months on static documents that decay the day they're published. We're making research a living, compounding asset.

A senior engineer who has built AI agent systems in production and led teams at startups. You've shipped under uncertainty, without specs, on timelines that didn't make sense on paper.

You'll own the technical architecture and velocity of the product end to end, from customer problem to deployed solution. You'll work directly with enterprise customers, make hard calls on scope with limited information, and measure success by revenue.

You'll build the engineering team over time. You know what works at 3 engineers breaks at 10, and you want to design that transition.

$170–240K+ base with meaningful equity in a YC-backed company.