Strategy question
How would you design the operating model for a Leaderboard Steering Committee so Scale can launch benchmarks quickly without weakening trust? Define the decision rights, launch gates, review cadence, exception process, and how you’d handle conflicts between speed, scientific rigor, and customer commitments.
- Scale AI
- 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
The answer guide for this question is on its way. You can still practice it now.
More strategy questions
- A Fortune 500 customer asks Scale to build a GenAI copilot on proprietary data, but the executive sponsor is split between sales enablement, advisor workflow, and business intelligence. In your first 2-3 weeks, how would you identify the highest-value wedge, quantify the opportunity, and turn that into a product strategy and phased roadmap both the customer and Scale can commit to?Scale AI · Strategy · Hard
- You've shipped a bespoke Text2SQL workflow for one large customer, and leadership wants to know whether it should become a repeatable product. What criteria would you use to decide which components should be standardized into reusable software, which should stay configurable, and which should remain fully custom?Scale AI · Strategy · Hard
- You own pay and incentives for Scale's global contributor marketplace. How would you design a compensation and incentive system that improves fill rates for scarce skills while protecting gross margin and data quality? Include how you'd segment contributors, set base pay versus bonuses, and guard against gaming or unintended quality regressions.Scale AI · Strategy · Hard
- During task construction, Scale may uncover live vulnerabilities or handle sensitive offensive artifacts. How would you design the responsible-development and release process for this portfolio, including containment, coordinated disclosure, access controls, artifact handling, and customer vetting? Where would you set hard launch gates versus case-by-case exceptions?Scale AI · Strategy · Hard
- Scale is standing up a net-new cybersecurity portfolio. How would you choose the first 2-3 capabilities to launch across vulnerability discovery, exploit reproduction, patch validation, secure code review, malware analysis, and incident triage? Walk through the prioritization framework you would use, including customer value, execution difficulty, benchmark credibility, and dual-use risk, and explain what you would explicitly defer from v1.Scale AI · Strategy · Hard
- Two near-term customer commitments pull the platform in different directions: one requires stronger auth and secure-by-default deployment into a constrained environment, while another needs better agent runtime primitives to improve forward-deployed team velocity. Engineering capacity is fixed and both asks are only partially specified. How would you sequence the work, what framework would you use to make the call, and how would you explain that decision differently to platform engineers, FD PMs, and executives?Scale AI · Strategy · Hard
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