Descripción del puesto
<p style="min-height:1.5em">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.</p><p style="min-height:1.5em"><strong>About the role</strong></p><p style="min-height:1.5em">Take data foundations from 0→1 on the bleeding edge of AI data.</p><p style="min-height:1.5em">As one of Cursor’s first Analytics Platform Engineers, you’ll own the systems that make company-wide data work reliable, secure, and easy to build on. You’ll work hands-on across our data lakehouse architecture to support a fast-growing data team and uniquely data-savvy business stakeholders. You’ll partner with Data, Product, GTM, and AI research teams to turn messy, repeated data needs into durable infrastructure.</p><p style="min-height:1.5em">Cursor is already operating at enormous scale, but our data platform is still early. This role is for someone who wants to own the low-level foundations: optimizing TB-scale ingestion, improving resource usage and alerting, codifying access control with infra-as-code, and making pragmatic build-vs-buy decisions across the modern data stack.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Example projects</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Own and optimize the raw data layer</strong>: Improve the performance, reliability, and cost profile of TB-scale first-party data ingestion so downstream analysis, experimentation, and ETL are faster and more trustworthy.</p></li><li><p style="min-height:1.5em"><strong>Scale orchestration for a growing data team</strong>: Make Dagster and related orchestration infrastructure reliable, observable, and ergonomic for a large base of data scientists, analytics engineers, and adjacent technical users.</p></li><li><p style="min-height:1.5em"><strong>Expand and secure agentic data capabilities</strong>: Enable new entrypoints and capabilities for agents to do data work, all while keeping security and privacy requirements high.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>What you’ll do</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Own, operate, and improve Cursor’s Databricks and lakehouse infrastructure as the data team size and data volume scales.</p></li><li><p style="min-height:1.5em">Build and optimize ingestion systems for first-party product data and 3rd-party business systems.</p></li><li><p style="min-height:1.5em">Ensure observability, alerting, and operational standards across all data infrastructure layers.</p></li><li><p style="min-height:1.5em">Evaluate and roll out data tooling where it solves real stakeholder needs, including BI platforms, catalogs, ingestion tools, and reverse ETL systems.</p></li><li><p style="min-height:1.5em">Partner with technical and non-technical partners to understand recurring data problems and turn them into scalable platform solutions.</p><p style="min-height:1.5em"></p></li></ul><p style="min-height:1.5em"><strong>You may be a fit if</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">You have 4+ years of full-time data platform engineering experience.</p></li><li><p style="min-height:1.5em">You have built up modern data stacks at a low level, not just written jobs on top of it.</p></li><li><p style="min-height:1.5em">You have scaled performant ingestion of billions of data per day.</p></li><li><p style="min-height:1.5em">You’re the go-to person for data pipeline orchestration infrastructure used by large user bases; Dagster experience is a strong plus.</p></li><li><p style="min-height:1.5em">You want to build foundational systems at a company where data-savvy users will immediately push them to their limits.</p></li></ul>