Role

As an early member of Cursor’s data team, this will be a hands-on role: partner with leadership to establish growth as a company priority, work hands-on with the entire data stack, and drive product strategy that helps our users quickly see Cursor's value and grow their usage.

Sample Projects Include

Designing and analyzing experiments to help users activate earlier and land on the right subscription tier.
Building foundational datasets and models to segment users and customers.
Evaluating the health of each tier and identifying opportunities for tier differentiation.
Understanding user–AI interactions in Cursor and how they drive growth and financial metrics.

You might be a fit if...

You're scrappy, pragmatic, and thrive in environments where you can work across multiple product areas at once.
You’ve worked directly on Growth, especially product-led or pricing initiatives, and you know how to turn data into decisions that move metrics.

What you'll do...

Partner with area leads in Growth, Enterprise, Finance, and Product to shape data-informed decisions across the business.
Define, track, and own metrics like conversion and self-serve revenue 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 least 4+ years of full-time data science experience.
You’ve been an early data scientist at a hyper-growth startup or research org.
You know how to be scrappy and ship insights across multiple product areas.
You’ve worked on Growth, especially product-led or pricing-related growth.
You’ve worked with subscription businesses, moving customers up tiers or optimizing revenue.
You’re fluent in SQL and Python, and can write pipelines to unblock yourself.
You have strong opinions about AB testing, conversion funnels, and growth accounting.
You can turn complex data into clear insights and stories for engineers, PMs, and execs.
You care deeply about accuracy and detail.

Bonus points

Hands-on experience with dbt and analytics engineering.
Machine learning applied to growth problems: LTV prediction, churn modeling, attribution.
Experience working on productivity software or AI tooling.

About

We're Anysphere, the team behind Cursor.

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.

We're a group of engineers and scientists who've built beloved products, created large OSS projects, started at-scale businesses, won olympiad medals, and published significant research (e.g. tmm1, ian, luke, phil, federico, aman, sualeh).

Our organization is very flat, and our team is small and talent dense. We particularly like people who are truthseeking, 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. Our investors include Andreessen Horowitz, OpenAI, Jeff Dean, John Schulman, and the founders of Stripe and Github.

Applying

If there appears to be a fit, we'll reach to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.

Cursor (acquired by DataRobot)

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