Strategy question
You join as PM for Glean Protect. In your first 12 months, how would you prioritize roadmap investments across explainability, AI risk prevention, and agent observability for large enterprises? Walk through the framework you’d use, which customer segments and stakeholders you’d weight most heavily, and how you’d resolve conflicts between security, compliance, and end-user requests.
- Glean
- Strategy
- Hard
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What this question tests
Tests sequencing a 12-month roadmap across explainability, AI risk prevention, and agent observability, weighting customer segments, and resolving conflicts between security, compliance, and end-user needs.
How to approach it
- Segment customers by risk exposure, for example regulated industries needing compliance-grade audit trails versus general enterprises mainly wanting risk prevention.
- Weight stakeholders: security and compliance teams as the buyer and blocker for expansion, end users as the group whose experience must not degrade from added friction.
- Sequence explainability first if regulated customers are the near-term revenue driver, since audit and explainability requirements are often contractual, not just nice-to-have.
- Sequence agent risk prevention, guardrails on agent actions, next, since it directly reduces incident risk as agent adoption grows.
- Push observability tooling for admins as an ongoing parallel investment, since it compounds value across every other pillar rather than being a discrete phase.
- Resolve security versus end-user conflicts by defaulting to safer options with an explicit override path for admins, rather than picking one side permanently.
What a strong answer includes
- Uses customer segment risk exposure, not just deal size, to decide which pillar comes first.
- Ties explainability to concrete contractual or compliance requirements rather than treating it as generally good practice.
- Proposes observability as a parallel, ongoing investment rather than a phase, since it supports every other pillar.
- Resolves the security versus end-user tension with a default-safe, admin-overridable pattern instead of picking a permanent winner.
Common mistakes
- Sequencing purely by largest deal size without weighting compliance-driven urgency.
- Treating explainability, risk prevention, and observability as fully independent instead of noting where they share infrastructure.
- Picking a permanent winner between security and end-user experience instead of a configurable default.
Likely follow-up questions
- How would you handle a regulated customer needing something not on this year's roadmap?
- What would make you re-sequence mid-year?
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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