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:

You’ll build and evolve the data systems that power Cursor’s product and internal decision-making. The work is hands-on and high-impact.

This includes:

• Designing and operating large-scale batch data systems using Spark and Ray Data

• Scaling data ingestion pipelines as we grow to billions of rows per day

• Re-architecting prompt and model interaction data storage with a focus on cost, performance, and usability, primarily on S3

• Building and maintaining streaming data infrastructure (Kafka, Flink, or similar)

• Working across data warehouses and lakehouse formats, including Iceberg and Delta Lake (or lower-level storage abstractions)

• Improving data developer experience, especially for Python-heavy workflows

• Supporting database replication and change data capture pipelines (DMS, Debezium, or similar)

WHAT WE'RE LOOKING FOR:

We’re looking for someone who has built real systems at scale and cares about correctness, cost, and ergonomics.

Strong signals include:

• Deep experience with Spark (Databricks or open-source Spark both count)

• Production experience with Ray Data

• Hands-on ownership of large data pipelines and storage systems

• Comfort debugging performance issues across compute, storage, and networking layers

• Clear thinking about data modeling and long-term maintainability

Nice to have

• Experience running or scaling Click House

• Familiarity with dbt, Dagster, or similar orchestration and modeling tools

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

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.