Strategy question
Scale wants to turn bespoke public-sector agentic solutions into a reusable platform. What decision framework would you use to determine which capabilities stay customer-specific versus become core platform primitives?
- Scale AI
- Strategy
- Hard
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What this question tests
Ability to abstract from one off customer builds to a scalable platform strategy, a classic zero to one to n prioritization problem in a regulated space.
How to approach it
- Catalogue the bespoke solutions built so far and tag each capability as either customer specific logic or a reusable underlying primitive, for example data ingestion, orchestration, or audit logging.
- Apply a frequency test: if three or more distinct public sector customers need the same underlying capability, it is a platform candidate.
- Apply a differentiation test: capabilities tied to a specific agency's mission or classification requirements stay customer specific even if structurally similar.
- Weigh accreditation and security overhead, since a platform primitive used across customers must meet the strictest applicable security bar, which can slow it down.
- Sequence the platformization: start with the primitive with the highest reuse and lowest security delta, prove it on a second customer before generalizing further.
- Define how you would govern change requests so future customer asks default to platform first rather than another bespoke fork.
What a strong answer includes
- Uses a concrete reuse threshold, for example three or more customers wanting the same capability, rather than a vague if it seems common.
- Explicitly weighs accreditation cost of a shared primitive against the speed benefit of bespoke work.
- Names a specific candidate primitive, such as an ingestion pipeline or an evaluation harness, as illustration.
- Proposes a governance mechanism to stop future bespoke sprawl.
Common mistakes
- Platformizing everything at once instead of sequencing by reuse and risk.
- Ignoring that a shared platform in defense contexts inherits the strictest security requirement across customers.
Likely follow-up questions
- How would you handle a customer who insists on a bespoke feature that conflicts with the platform roadmap?
- What would make you decide a primitive should stay customer specific permanently?
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More questions from Scale AI
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