Engineering Manager, Evals
As an Engineering Manager on the Evals team, you will lead a team responsible for creating high-signal evaluation datasets and tools for coding agents. You will set the eval roadmap, guide the development of CursorBench, and integrate evaluations into decision-making for launches and model training.
About the job
About the Role
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.
What you’ll do
- 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 may be a fit if
- 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).
Skills
Evaluation Systems, Data Acumen, Ai Evals, Experimentation Platforms, Ranking/Relevance, Search Quality, Reliability Instrumentation
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