Strategy question
How would you grow Cursor adoption in enterprise engineering orgs?
- Cursor
- Strategy
- Hard
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What this question tests
Enterprise go-to-market strategy for a developer tool that started as a bottom-up, individual-developer product.
How to approach it
- Clarify Cursor's current motion: mostly self-serve individual and small-team subscriptions today.
- Identify enterprise-specific blockers: security review, SSO/SOC2 needs, admin controls over which repos AI can access, and procurement cycles.
- Propose a bottom-up-to-top-down motion: track teams where several engineers already expense Cursor individually, then approach the engineering leader for a team deal.
- Build enterprise features that unblock adoption, such as audit logs, on-prem or VPC options for code privacy, and centralized billing.
- Prioritize a few reference customers and case studies to build trust with risk-averse enterprise buyers.
- Define success metrics: number of accounts with 50+ seats, net revenue retention, and security-review pass rate.
What a strong answer includes
- Leverages the existing bottom-up usage signal (engineers already using Cursor personally) as the enterprise sales funnel.
- Names concrete blockers specific to AI coding tools: code leaving the network, IP concerns, and model training on proprietary code.
- Proposes a specific enterprise feature, like a no-retention data policy, as a sales unlock.
- Distinguishes seat expansion within an account from net-new enterprise logos as separate growth levers.
- Grounds success in a measurable target, such as accounts crossing a seat threshold within two quarters.
Common mistakes
- Proposing a top-down enterprise sales motion without acknowledging Cursor's bottom-up DNA.
- Ignoring security and code-privacy concerns, which are the top blocker for AI coding tools in enterprises.
Likely follow-up questions
- What security feature would you build first?
- How would you find which accounts are ready for an enterprise deal?
- How would you price the enterprise tier versus Pro?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop