Recruiting Coordinator

Reposted 17 Hours Ago
San Francisco, CA, USA
In-Office
90K-150K Annually
Junior
Artificial Intelligence • Software
Building embeddings-based search infrastructure
The Role
As a Recruiting Coordinator, you will manage the recruiting cycle, represent Exa to candidates, and facilitate their journey through the hiring process.
Summary Generated by Built In

At Exa, we're building a next-generation AI search engine—one that outperforms Google for power users. We help people find the information they can’t get anywhere else: https://exa.ai/websets

We're an SF team of ~80 from Harvard, MIT, Google, Apple etc. We recently raised a Series B from Benchmark, and we are rapidly building the most intelligent search engine in history.

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).

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The Company
San Francisco, , California
86 Employees
Year Founded: 2021

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.

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