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Customer Success Strategy & Operations Manager

Customer successOn-site — San Francisco, New York, Austin
Published on 2026-10-30
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

Drive customer value delivery as the company expands beyond engineering users into broader knowledge-work use cases. Partner with senior leaders to improve customer experience, value realization, retention, and growth through analytics, scalable operating models, and rapid experimentation.

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; Strategy and Operations

What you'll do

  • Design customer segmentation and coverage models.
  • Build headcount and capacity models.
  • Define customer success metrics and compensation models.
  • Analyze performance trends and turn findings into actionable plans.
  • Establish leadership operating cadences and decision forums.
  • Build dashboards and applications to surface key performance metrics.
  • Analyze product usage to identify signals for activation, expansion, retention, and churn.
  • Design and run experiments, then scale effective approaches.

What we're looking for

  • Experience in revenue strategy and operations, customer strategy and operations, or business operations.
  • Experience supporting digital or scaled customer strategies, self-serve, or technical services teams.
  • Strong analytical and modeling skills grounded in data.
  • Experience working with product usage data and experimentation frameworks.
  • Ability to build scalable, end-to-end solutions and run cross-functional programs.
  • Strong communication skills and experience partnering with senior leadership.
  • Experience building processes or systems from the ground up.

Nice to have

  • Experience partnering with Marketing and Product on lifecycle or in-product programs.
  • Experience with customer health scores or maturity models.
  • Data science or analytics background.
  • Customer-facing experience.
  • Experience with consumption-based pricing.
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