Engineering Manager, Model Routing & Inference

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Engineering Manager, Model Routing & Inference San Francisco, CA, United States, New York 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 You will lead the Model Routing & Inference team at Cursor, owning the inference platform that powers every AI interaction in the product. This team owns the full inference path: making Cursor's AI faster, more reliable, and more cost-effective at a scale few teams in the world get to operate at. Every agent session, every tab completion, and every chat message flows through your stack. You'll set technical direction for cluster management, inference optimization, and traffic egress, building the platform that lets the rest of the company move fast without worrying about provider complexity. You'll lead a team of strong engineers, set strong direction for the business, and make the calls that balance latency, cost, reliability, and user experience across millions of daily requests. What you'll do - Building and evolving our inference gateway, a single abstraction over every provider's API semantics, so model onboarding becomes a config change. - Building the systems that dynamically select the best model for each request based on cost, latency, and quality. - Managing GPU cluster

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