250K–300K USD / year

Customer Success Strategy & Operations Manager

OperationsOn-site — San Francisco, CA
Published on 2026-11-09
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build and improve customer success strategy and operations as the company expands its products and customer use cases. Use product-usage analysis and experimentation to improve customer value realization, retention, and growth, while partnering with senior leaders on strategy and execution.

About the company

Cursor builds an AI coding editor and agent workflows that help developers write and ship software faster. It serves software teams looking for tighter AI assistance inside the IDE.

The team

Revenue Operations and Strategy and Operations

What you'll do

  • Develop customer segmentation, coverage, and capacity models.
  • Define customer success metrics and compensation models, and build KPI dashboards and tools.
  • Analyze product usage to identify signals for activation, expansion, retention, and churn.
  • Design and run controlled experiments, then scale effective programs.
  • Establish business reviews, planning forums, and performance tracking.
  • Build a scaled engagement model connecting data, digital touchpoints, tooling, and human coverage.

What we're looking for

  • 5+ years of experience in revenue strategy and operations, customer strategy and operations, or business operations.
  • Experience analyzing product usage data with SQL or a comparable analytics tool.

Nice to have

  • Experience supporting digital, scaled, self-serve, customer success, or technical services teams.
  • Experience building experimentation frameworks to measure program impact.
  • Experience with headcount, capacity, segmentation, or coverage models.
  • Experience designing customer health scores or maturity models.
  • Experience partnering with Marketing and Product on lifecycle or in-product programs.
  • Data science or analytics background.
  • Customer-facing experience.
  • Experience with consumption-based pricing or building a strategy and operations function from the ground up.

Benefits

  • Equity.
  • Medical, vision, and dental coverage.
  • 401(k) retirement plan.
  • Short- and long-term disability insurance and life insurance.
  • Additional discounts and perks.
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