AI agent orchestration

We crossed $1M ARR in 8 months. 200,000+ researchers at Stanford, MIT, and Amazon use us to do literature reviews 10x faster.

Now we're building something bigger: the system of record for scientists where they can find papers, analyze experiments, and write their drafts while collaborating with other scientists as well as our AI agents.

You should apply if you:

→ Ship fast and learn faster
→ Know the agentic AI stack cold (vector DBs, graph RAG, agent memory)
→ Have built full-stack products that scaled past 1M users
→ Actually care about accelerating scientific discovery

Bonus: You've published research yourself.

Don't apply if you:

→ Can't be in SF, in person
→ Haven't used the product yet
→ Don't want to talk to customers

$120K-$200K + equity. We're a small team backed by YC.

Reach out on careers [at] answerthis.io

Tell us what you hate about AnswerThis, what you love, and one project you're proud of alongside your resume.

Science moves too slowly. Help us fix that.

Interview Process

1. Screening + technical interview (30 min) — We'll chat about your background, what you've built, and dig into your experience with AI agents, vector search, and building at scale.
2. Take-home assessment — A practical project that reflects the actual work you'd be doing here.
3. Final call (30 min) — Meet more of the team. We'll discuss your assessment and talk through what working together would look like.
4. Paid work trial (1 week) — Work with us on a real project as a paid consultant. You'll get a feel for the team, the codebase, and how we operate.
5. Full-time offer — If it's a mutual fit, we'll extend an offer.

We move fast. The whole process can be done in 2-3 weeks.