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 a team of ~65 from Harvard, MIT, Stanford, Apple, Palantir, etc. We recently raised an $85M Series B from Benchmark, and we are rapidly building the most intelligent search engine in history.
Now, we’re looking for an Founding Account Executive to help us bring Exa to the world (aka New York City)!
About the Role
As an Account Executive at Exa, you will work with customers who need speed, intelligence, and accuracy in their workflows. You’ll take full ownership of deals—prospecting, running demos, negotiating, and closing.
What You’ll Do
Help build our NYC GTM office from 0->1 (culture cultivation, in-person events, in-person sales)
Own the entire sales cycle—from first touch to close
Run product demos that make customers say “wow”
Develop and execute strategies to land high-value customers
Work closely with SDRs to keep the pipeline strong and moving
Negotiate contracts, hit targets, and drive revenue growth
What You’ll Need
2+ years in a sales role, ideally in SaaS or AI/tech products
Experience managing a full sales cycle, from lead generation to close
Strong communication skills—you can tell a great story and sell a vision
A consultative approach—help customers see the business value, not just the features
A competitive edge—you’re driven, persistent, and love closing deals
Comfort in a fast-moving, high-growth startup environment
This is an in-person opportunity in NYC, with several sponsored trips to SF head quarters to onboard. We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3). In addition to premium healthcare benefits (medical, dental, vision), we also offer fertility benefits and a monthly wellness stipend to all of our employees.
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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.
