About Exa
We raised a $250M Series C to build the search engine for AIs. Led by a16z, with existing investors Benchmark, Lightspeed, and YC doubling down, the round brings Exa's valuation to $2.2 billion. Read more
Exa is building a search engine for the AI era. Our Search API currently powers Agents, Fortune 500s and AI labs as we transform an industry that hasn’t been disrupted since the 90s. We're a largely SF-based team of ~100 from Harvard, MIT, Meta, Google Research, ex-founders & dropouts alike.
We are rapidly building the most intelligent search engine in history. We’re high agency, low-ego, and united by the feeling that this is one of the last problems worth getting right.
Now, we’re looking for an Recruiting Coordinator to help build our Exa family!
About the Role
As a Recruiting Coordinator at Exa, you will work with candidates in our recruiting pipeline, ensuring they have a smooth experience. You’ll represent Exa externally, and be the main touchpoint for our talent pool.
What You’ll Do
Own the recruiting cycle, from outbound strategy to interview process to close
Represent Exa and convince top talent to join our team
Move candidates along the pipeline, answer questions, and work with our recruiting team on sourcing strategy
Handle our hyperscale needs. We routinely grow our team by ~1.5x each quarter.
Desired Experience
1+ years of experience as a recruiting coordinator
Strong communication skills—you can tell a great story and sell a vision
“People Person” — the strong ability to read people
Comfort in a fast-moving, high-growth startup environment
This is an in-person opportunity in San Francisco. We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3).
Skills Required
- 1+ years of experience as a recruiting coordinator
- Strong communication skills
- Comfort in a fast-moving, high-growth startup environment
What We Do
Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.
