Figma
Senior
Own platform strategy for the developer systems, agent infrastructure, evals, and context layer behind Figma Make
This deeply technical PM role sits at the intersection of product and infrastructure, owning one or more of four platform areas — developer systems, AI services/model integration, evals and continuous quality, or search and context — that other product teams build on top of. The interview probes build-vs-buy judgment on frontier model integration, systems thinking across a distributed platform, and hands-on technical fluency (reading PRs, joining architecture conversations).
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Platform strategy and build-vs-buy decisions for AI/developer infrastructure
- Frontier model and MCP server integration architecture
- Eval systems and continuous quality methodology for AI features
- Context/search platform design balanced against enterprise trust requirements
- Cross-functional influence with EMs, tech leads, and other product teams
- Hands-on technical fluency (reading PRs, engaging in architecture discussions)
Common question themes
How would you decide whether to build or buy a capability for the AI platform
Design an eval framework that keeps an AI coding agent improving without regressions
Walk through a technical architecture decision you personally shaped, not just scoped
Prioritizing across interconnected platform areas with competing team dependencies
Balancing enterprise data trust against fast AI feature iteration
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