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 an IT Engineer, you'd work on everything that keeps Exa running. From IT infrastructure and device management, security, compliance, internal tooling, and onboarding.
What You'll Do
Have experience working on end to end from device procurement, MDM, identity and access management, and endpoint security
Help with office buildouts and operations as Exa scales
Help Exans troubleshooting different IT issues
Set up and manage AV and conference room infrastructure so the team can move fast without friction
Help make sure new Exans are set up during onboarding so everyone is productive from day one
What We're Looking For
Experience working in IT at a fast-growing startup
Familiarity with security and compliance frameworks (SOC2, ISO 27001)
Experience with identity and access management
Has experience with AV and conference room infrastructure
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.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Exa is building a search engine from scratch to serve every AI application. They build massive-scale infrastructure to crawl the web, train state-of-the-art embedding models to index it, and develop super high-performance vector databases in Rust to search over it. They also own a $5m H200 GPU cluster and routinely run batch jobs with tens of thousands of machines.