Data Scientist

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 we’re looking for

You have 2-4 years of full-time experience as a data scientist, ideally in a hyper-growth company or research org, with a strong track record of shipping high-impact work. You’re scrappy, pragmatic, and thrive in environments where you can work across multiple product areas at once. You’ve worked on product initiatives and AB testing in the past, and you know how to turn data into strategy that moves metrics.

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 should apply 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.