Exa is an applied AI lab building a search engine unlike the world has ever seen. We build massive-scale infra to crawl the entire web, train state-of-the-art embedding models to process it, and design super high performant vector databases to retrieve over it. We now power search for Cursor, Cognition, HubSpot, and over 400,000 developers and have raised $350m from Lightspeed, Benchmark, and a16z.
Our ultimate goal is to build perfect search over all the world's information, far beyond Google. If you want to build massive-scale ML systems that will define the way the new AI world consumes information, this is the place for you.
Evals at Exa
The Evals Team sits at the heart of our mission. We train foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Basically, put the web into an extremely powerful database. And to do that well, we need to measure what “good search” actually means. That’s where you come in.
As a Product Manager on the Evals team, you will partner with research, product, GTM, and engineering to oversee the quality and completeness of our evaluation data. You will be responsible for ensuring our search models are being evaluated against comprehensive and high-quality datasets, across numerous domains. You’ll manage relationships with external vendors and make key strategic decisions on what data is important for our evals - and acquire it. Your work will play a key role in Exa’s mission of a perfect information society.
Who You Are
Hustler in negotiating, securing, and managing relationships with external vendors
Care and excellence in writing. At Exa we value human communications free of AI generated text
High ownership and attention to detail
Strong numerical literacy and technical background. CS/EE degree, production engineering experience, or equivalent depth earned on the job
What You Could Do
Build specific, localized eval feedback and signal
Write a manifesto of what perfect search means
Define metrics and success criteria for our evaluation data suites
Partner closely with ML researchers, data engineers, infra engineers, and product to shape the data loops that improve our search models
Logistics
Location: This is an in-person opportunity in San Francisco.
Visas: We're happy to sponsor international candidates (e.g., STEM OPT, OPT, H1B, O1, E3). While we cannot guarantee your visa, we have historically been successful in sponsoring candidates from all over the world. If you receive an offer, our team will work hard to get you a visa.
Benefits: We offer premium healthcare benefits (medical, dental, vision), fertility benefits, 16 weeks of fully paid parental leave for all new parents, and a monthly wellness stipend to all of our employees.
Exa is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, veteran status, marital status, pregnancy or related conditions, criminal histories consistent with applicable law, or any other basis protected by applicable law.
Skills Required
- Experience negotiating, securing, and managing relationships with external vendors
- Strong written communication and attention to writing quality
- High ownership and attention to detail
- Strong numerical literacy
- Strong technical background, such as a CS or EE degree, production engineering experience, or equivalent experience
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.
