YC-backed AnswerThis is hiring a Founding Engineering Lead to architect their AI-driven scientific research platform, offering $170-240K base salary plus equity to build the 'operating system for scientific knowledge' used by 200K+ researchers at top institutions.
AnswerThis, a Y Combinator-backed startup building AI agents for scientific research, is seeking a Founding Engineering Lead to architect their platform that's already serving over 200,000 researchers at universities and Fortune 500 companies. The role offers $170-240K base salary plus 0.20-0.50% equity to lead technical architecture and product development for what the company calls "the operating system for scientific knowledge inside enterprises."
The San Francisco-based company addresses a fundamental bottleneck in scientific discovery: researchers spend massive amounts of time manually reading papers, writing literature reviews, and assembling evidence packages. According to AnswerThis, trillions of dollars flow into global R&D annually, with a significant portion consumed by these manual processes that ultimately determine whether new drugs or medical devices reach patients.
The Problem: Research That Can't Keep Up
Existing research workflows remain fragmented and static. While semantic search has improved discovery, finding the right evidence across scattered sources remains unsolved. Literature reviews become outdated the moment they're published as new data, internal trial results, competitive intelligence, and publications continuously emerge. Scientists currently spend months creating one-time documents that never update, are impossible to search, and decay immediately after publication.
AnswerThis aims to transform research from a disposable artifact into a living, compounding asset. Their AI agents search, synthesize, and draft evidence-based research autonomously, handling the workflows that are most manual and highest-stakes in life sciences.
The Role: Building at Startup Speed
The Founding Engineering Lead will own technical architecture and product velocity, implementing features end-to-end from customer problem to deployed solution. This hands-on role requires working directly with enterprise customers, making hard calls on scope with limited information, and measuring success by revenue growth rather than technical elegance.
Key responsibilities include:
- Architecting systems that scale from 3 to 10+ engineers
- Prioritizing and shipping features under uncertainty
- Leading customer-facing development and feedback loops
- Building the engineering team over time
The ideal candidate has built AI agent systems in production, led teams or projects at startups, and thrives in environments without established processes. The role is explicitly in-person in San Francisco, with the company noting this isn't suited for those who optimize for technical elegance over business impact or have only worked in large engineering orgs.
Company Momentum
AnswerThis crossed $1M ARR in just 8 months and maintains cash-flow positive operations. The platform serves researchers at Stanford, MIT, Amazon, and other top institutions worldwide. As a Y Combinator F25 company, they're positioned at the intersection of AI advancement and scientific productivity.
The interview process reflects their fast-paced culture: a 20-minute culture screen, 1-hour technical deep dive, take-home assessment, and 2-week paid work trial—no panel interviews or multi-round loops.
For engineers who want to build AI systems that directly accelerate scientific discovery rather than optimize ad targeting or social feeds, AnswerThis offers the rare combination of early-stage equity, proven market traction, and meaningful impact on how research gets done.
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