Cursor
Full TimeLead the Evals team building evaluation datasets and tools for coding agents at Cursor. You'll set the evaluation roadmap, grow a team of engineers and researchers, expand CursorBench, and integrate quality signals into model training and deployment decisions. The role requires experience leading production engineering teams with strong people skills, expertise in evaluation or measurement systems, and collaboration across research, product, and infrastructure. Work from Cursor's office (location not specified). No salary provided.
Written from this posting by Neural Jobs AI. The full description is below.
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.
As an Engineering Manager on the Evals team at Cursor, you’ll lead the group responsible for creating high-signal evaluation datasets for coding agents and building the tools engineers use to write and run them. The team also owns online evaluation systems that track agent quality in production, and the close integration between online and offline evaluations.
The evaluation systems that this team builds, including CursorBench, are critical in the development of our coding models and the quality of our Cursor agents. Your impact will compound across every Cursor product and every Cursor model by making quality measurable, comparable, and easy to improve.
Set the eval roadmap end-to-end—what we measure, why it matters, and how signals turn into shipping + training decisions.
Lead and grow a high-impact team of engineers and researchers building eval datasets and developer-friendly tools to write and run evals.
Guide the next generation of CursorBench so it continues to reflect real developer workflows at Cursor, and expand it with new evals that measure other properties developers value.
Define crisp online quality signals and turn regressions into robust guardrails.
Integrate evals into decision-making cadence for launches, deploys, and model training loops.
You’ve led engineering teams shipping production systems and have strong people leadership and coaching skills.
You can align research, product, data, and infrastructure on what “good” means—and turn that into durable metrics, processes, and release/training rituals.
You have good taste and strong opinions on model and agent behaviors, and you stay up-to-date on emerging research and industry trends.
You have strong data acumen, and can collaborate effectively with data scientists and researchers.
You’ve built and operated evaluation or measurement systems (e.g., AI evals, experimentation platforms, ranking/relevance, search quality, or reliability instrumentation).
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Cursor, developed by Anysphere, is an AI-native code editor that integrates large language models directly into the development workflow, from autocomplete to multi-file edits and agentic coding.
Founded in 2022, it has become one of the most widely adopted AI coding tools.
United States
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