Engineering Manager, Evals

Socket.dev; San Francisco (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

Cursor in San Francisco is seeking an Engineering Manager to lead the Evals team responsible for building high-quality evaluation datasets for coding agents. You will set the roadmap for evaluations and guide a high-impact team of engineers.

The ideal candidate has experience leading engineering teams, strong leadership skills, and the ability to align research and product metrics effectively. If you are passionate about coding and enjoy building assessment tools, this role is for you.

Qualifications

• Experience in leading engineering teams shipping production systems.
• Strong people leadership and coaching skills.
• Good taste and strong opinions on model and agent behaviors.
• Strong data acumen and ability to collaborate effectively with scientists.

Responsibilities

• Set and lead the eval roadmap from end to end.
• Grow a high-impact team building eval datasets and tools.
• Define online quality signals and turn regressions into guardrails.
• Integrate evals into decision-making for launches and training.

Skills

Leadership

Engineering

Data collaboration

AI evaluation systems

Job description

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.

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).