AnswerThis Verified
Artificial Intelligence, Content Creation, SaaS, Marketing Technology
AI agent orchestration
San Francisco, California, United StatesRemoteFull Time$120,000–$200,000 /yrPosted 2 months agoHidden Gem · YC Startup
Role summary
A YC-backed startup that has achieved $1M ARR in 8 months and is used by over 200,000 researchers at top institutions is seeking an AI Agent Orchestration Engineer. The company is building a system of record for scientists to manage literature reviews, analyze experiments, and write drafts collaboratively with other scientists and AI agents. The ideal candidate is a fast learner and shipper who is an expert in the agentic AI stack (vector DBs, graph RAG, agent memory) and has experience building full-stack products that scale. A passion for accelerating scientific discovery is essential. The role requires being in San Francisco in person and interacting with customers. Publishing research is a bonus.
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](http://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.\
\
Science moves too slowly. Help us fix that.
\
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](http://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.