Job description

ABOUT TYPESAFE We’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 ROLE You’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 include: - Build and maintain data pipelines, infrastructure, and internal tools - Support data transformations, analytical models, and BI workflows - Manage data access and permissioning - Improve reliability, performance, and data quality - Work with teams across the company to understand and support their data needs WE EXPECT THAT YOU - Have experience in data engineering, infrastructure, or backend systems - Are familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies - Are comfortable with SQL, data transformations, and permissioning - Understand how data infrastructure supports BI and analytics - Take ownership, collaborate well, and adapt to changing requirements - Are excited about our mission and working on a small team WE ARE HOPING THAT YOU - Have built and operated large-scale, production data systems - Have experience building internal tools and supporting analytics - Have worked on a team with strong engineering standards - Are familiar with AI and its practical applications LIFE AT TYPESAFE We’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 PROVIDE - 100% covered health insurance - Daily lunch and dinner - Visa sponsorships - 401K plans

Requirements

Must-haves

Build and maintain data pipelines, infrastructure, and internal tools
Support data transformations, analytical models, and BI workflows
Manage data access and permissioning
Improve reliability, performance, and data quality
Work with teams across the company to understand and support their data needs
Have experience in data engineering, infrastructure, or backend systems
Are familiar with Kafka, ClickHouse, a data orchestrator such as Dagster or Airflow, and similar technologies
Are comfortable with SQL, data transformations, and permissioning
Understand how data infrastructure supports BI and analytics
Take ownership, collaborate well, and adapt to changing requirements
Are excited about our mission and working on a small team
Have built and operated large-scale, production data systems
Have experience building internal tools and supporting analytics
Have worked on a team with strong engineering standards
Are familiar with AI and its practical applications
Daily lunch and dinner
Visa sponsorships

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmsql

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Health Insurance

401k