Strategy question
You need to define Glean’s API and SDK strategy for partners building agentic workflows on top of enterprise data. What product principles would guide where you expose low-level primitives versus opinionated abstractions, and how would you balance openness and extensibility against reliability, governance, and long-term compatibility?
- Glean
- Strategy
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Tests defining API and SDK product principles that balance partner flexibility against long-term reliability and governance for an enterprise data platform.
How to approach it
- State the core principle: expose low-level primitives where partners need custom logic, and opinionated abstractions where most partners want the same outcome.
- Apply it concretely, for example expose raw search and permission-check primitives, but ship an opinionated agent-orchestration SDK for the common agentic-workflow pattern.
- Guard governance at the primitive layer specifically, since low-level access to enterprise data is the highest-risk surface, requiring scoped tokens and audit logging by default.
- Version primitives conservatively, since partners building on low-level APIs are more exposed to breaking changes than those using higher-level SDKs.
- Evolve abstractions faster and more freely, since they can change without breaking partners as long as the interface contract holds.
- Set a deprecation policy upfront so long-term compatibility is a stated commitment, not an afterthought once partners depend on it.
What a strong answer includes
- Draws a clear, applied line between primitives and abstractions instead of a generic 'balance openness and control' statement.
- Ties governance specifically to the primitive layer, where enterprise data risk is highest, rather than treating all API surfaces the same.
- States a concrete versioning and deprecation policy, recognizing primitives and abstractions need different compatibility guarantees.
Common mistakes
- Treating all API surfaces with the same openness or the same restriction level.
- No deprecation or versioning policy, leaving partners exposed to silent breaking changes.
Likely follow-up questions
- How would you handle a partner who needs a primitive you have deliberately not exposed?
- How would you sunset an abstraction that is being replaced by a better one?
More strategy questions
- How would you drive adoption of Glean Agents beyond search?Glean · Strategy · Hard
- How should Glean position against Microsoft Copilot, which is bundled into Office?Glean · Strategy · Hard
- You're given 12 months and a lean team to materially increase enterprise trust in Glean agents. How would you define and sequence the security and governance roadmap across access controls, agent action guardrails, explainability/auditability, and admin observability, and what criteria would you use to choose the first 2-3 bets?Glean · Strategy · Hard
- Three large enterprise customers each demand a different governance feature before expanding their contracts: one wants approval workflows for agent actions, one wants field-level redaction, and one wants SIEM export and audit APIs. With a lean team, how would you prioritize, align sales and engineering, and decide what becomes roadmap, what is solved through configuration or services, and what you decline?Glean · Strategy · Hard
- 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
- Glean is considering a new governance capability that depends on deep integrations with identity, DLP, and data-classification systems, but connector coverage and reliability will vary by customer. How would you decide whether to launch, what scope to support first, and what tradeoffs you’d make across speed, coverage, and reliability?Glean · Strategy · Hard
More questions from Glean
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