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Salary
$180k – $350k per year
Location
In office (San Francisco)
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 29, 2026. First seen by Alion on Dec 19, 2025. Exa scores B on the Alion truth index.

Overview
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Profile match

Exa

Exa builds a web search engine designed for AI applications and agents rather than for human readers, sold to developers and enterprises through APIs. It trained its own embedding-based search models and runs its own crawl that tracks more than 500 billion URLs, exposed through Search, Contents, Agent and Monitors APIs and Websets, a high-compute search product for lists of companies and people. Founded in 2021 in San Francisco under the name Metaphor, it serves more than 5,000 companies including Cursor, Cognition and HubSpot and raised a $250 million Series C led by Andreessen Horowitz in 2026.

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.

As a Data Engineer, you'll architect and build the data infrastructure that powers everything we do-from crawling billions of pages to training our embedding models to serving real-time search. You'll have enormous autonomy in designing systems that scale to hundreds of petabytes. If you've ever wanted to build data pipelines at a scale that most companies only dream about, this is your chance.

Who You Are

  • Deep understanding of lakehouse architectures (Delta Lake, Iceberg, Hudi) and when to use them

  • Experience building and operating large-scale distributed data processing pipelines

  • Hands-on experience with streaming data systems (Kafka, Flink, or similar)

  • Familiarity with Ray, Spark, or ClickHouse at production scale

  • An obsessive focus on reliability and building systems that don't page you at 3am

Bonus

  • Experience with Lance or other vector-native storage formats

  • Background in GPU-accelerated data processing (RAPIDS, cuDF)

What You Could Do

  • Design a lakehouse architecture that handles 100+ PB of web crawl data

  • Build streaming pipelines that process billions of documents per day for real-time indexing

  • Architect the data layer for our embedding training infrastructure on Ray

  • Scale our ClickHouse deployment to handle analytical queries across petabytes of search logs

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.

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