Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

We're in-person with cozy offices in North Beach, San Francisco and Manhattan, New York, replete with well-stocked libraries.

ABOUT THE ROLE:

As an early member of Cursor’s data team, you’ll help build an AI data program operating at incredible scale while partnering directly with founders and area leads. You’ll work hands‑on across the entire data stack and at the bleeding edge of AI, turning billions of user–AI interactions into strategy that gets users to “aha” faster and expands their usage.

WHAT YOU’LL DO:

• Partner with area leads to shape data-informed decisions across the business.

• Define, track, and own metrics like power usage and user satisfaction that multiple teams and leadership depend on.

• Run experiments end-to-end: design, analyze, and translate into clear product recommendations.

• Build pipelines, dashboards, and analyses that make self-serve insights accessible and trustworthy.

• Establish data culture and foundations as an early member of the data team.

YOU MAY BE A FIT IF:

• You have at 2-4 years of full-time data science experience.

• You have a strong track record of shipping high-impact work when operating in ambiguity.

• You can turn complex data into clear insights and stories for engineers, PMs, and execs.

• You’ve worked at a hyper-growth startup or research org—you know how to be scrappy and ship insights across multiple product areas.

• You’re fluent in SQL, Python, and AB testing, and can write pipelines to unblock yourself.

BONUS POINTS IF:

• You have hands-on experience with dbt.

• You have experience working on productivity software or AI tooling.