AI agent orchestration

Title: AI agent orchestration

Location: San Francisco, CA, US / Remote

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

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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. \

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You should apply if you:\

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→ 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\

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Bonus: You've published research yourself. \

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Don't apply if you:\

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→ Can't be in SF, in person \

→ Haven't used the product yet \

→ Don't want to talk to customers \

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

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Reach out on careers \[at\] [answerthis.io](

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

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Science moves too slowly. Help us fix that.