Level

Exa

Product Manager, Evals

Exa is hiring a Product Manager, Evals in San Francisco, United States. It pays $160k-$300k a year and Level rates it ; you can apply on Exa.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions visa sponsorship.
  • The posting mentions Cursor among its tools and skills.
  • Exa has 55 other open roles on Level.
  • Posted in the last few days.

AI in this role

cursor

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.

How we rate this

Product Manager, Evals at Exa rates 3 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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