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 ~30 from Harvard, MIT, Apple, Palantir, etc. We recently raised an $85M Series B led by Benchmark, and supported by Lightspeed, YC, and Nvidia. We are rapidly building the most intelligent search engine in history.
Now, we’re looking for a Sales Development Representative (SDR) to help us bring Exa to the world!
About the Role
As an SDR at Exa, you’ll be the first point of contact for future customers. You’ll research, prospect, and start conversations with teams who need faster, smarter search. Your work will fuel the sales pipeline and directly shape our growth.
What You’ll Do
Prospect and qualify inbound and outbound leads to build a strong pipeline
Host in-person events in SF and NYC to win clients— some business travel will happen!
Research target accounts and find creative ways to connect with key decision-makers
Send personalized outreach that gets noticed and sparks conversations
Set up discovery calls and demos for Account Executives
Partner closely with AEs to refine messaging, targeting, and handoff processes
Track activities and learn from data to improve conversion rates
What You’ll Need
1+ year of experience in a customer-facing role, no SDR-specific experience required
Strong communication skills—you can write a crisp email and hold a confident conversation
Charming and relationship driven! You like people and people like you
Curiosity about AI, startups, and the future of search
A competitive edge—you like winning and beating goals
Comfort working in a fast-paced, high-growth startup environment
This is an in-person opportunity in San Francisco. We are open to sponsoring international candidates (e.g., STEM OPT, OPT, H1B, O1, E3).
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.
