{"schemaVersion":"jobsearcher.job.v1","id":"e4f51cd61f06a7954ab30dc7","url":"https://jobsearcher.com/jobs/e4f51cd61f06a7954ab30dc7","canonicalUrl":"https://jobsearcher.com/jobs/e4f51cd61f06a7954ab30dc7","title":"Data Platform Engineer","description":"About TypeSafeWe’re building prod, not god. TypeSafe is an AI lab pushing frontier model intelligence in a new direction, starting with System One Models. We combine the reasoning of LLMs with the reliability of code, for truly trustworthy AI. Our first model, Jev, launched in September 2026.While others chase leaderboards, we’re rebuilding the LLM stack from first principles to make models smarter and also dependable enough to run in production. We’re a small, fast team backed by an $870M Series A led by a16z. Made in SF, with love. Come join the frontier.About The RoleYou’ll build and own the data infrastructure and internal tooling that support our engineering, analytics, and business teams. You’ll work across ingestion, storage, transformations, and access controls, helping make our data reliable and easy to use.Responsibilities IncludeBuild and maintain data pipelines, infrastructure, and internal toolsSupport data transformations, analytical models, and BI workflowsManage data access and permissioningImprove reliability, performance, and data qualityWork with teams across the company to understand and support their data needsWe expect that youHave experience in data engineering, infrastructure, or backend systemsAre familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologiesAre comfortable with SQL, data transformations, and permissioningUnderstand how data infrastructure supports BI and analyticsTake ownership, collaborate well, and adapt to changing requirementsAre excited about our mission and working on a small teamWe are hoping that youHave built and operated large-scale, production data systemsHave experience building internal tools and supporting analyticsHave worked on a team with strong engineering standardsAre familiar with AI and its practical applicationsLife at TypeSafeWe’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. We work fully in person from our San Francisco office near Embarcadero station. We love what we do and care deeply about the work.We strive for excellence and craftsmanship and won’t stop until we get there. When the team wins, we all win, and we enjoy collaborating and inspiring each other to grow—as a team and as individuals.We value emotional honesty, kindness, and bringing your whole self to work. We build machines; we don’t try to be machines.We want TypeSafe to be the place where you do the most impactful work of your career and help define our future as a company.We provide100% covered health insuranceDaily lunch and dinnerVisa sponsorships401K plans","company":"Typesafe Ai","rawCompany":"typesafe ai","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-10-16T11:09:38.732Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Platform Engineer","description":"About TypeSafeWe’re building prod, not god. 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You’ll work across ingestion, storage, transformations, and access controls, helping make our data reliable and easy to use.Responsibilities IncludeBuild and maintain data pipelines, infrastructure, and internal toolsSupport data transformations, analytical models, and BI workflowsManage data access and permissioningImprove reliability, performance, and data qualityWork with teams across the company to understand and support their data needsWe expect that youHave experience in data engineering, infrastructure, or backend systemsAre familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologiesAre comfortable with SQL, data transformations, and permissioningUnderstand how data infrastructure supports BI and analyticsTake ownership, collaborate well, and adapt to changing requirementsAre excited about our mission and working on a small teamWe are hoping that youHave built and operated large-scale, production data systemsHave experience building internal tools and supporting analyticsHave worked on a team with strong engineering standardsAre familiar with AI and its practical applicationsLife at TypeSafeWe’re a small, flat, close-knit team working to make intelligence dependable enough to become part of everyday software. 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