Bridge Cohere's AI safety research and the North agentic platform's product roadmap

This is a non-traditional PM role for Cohere's North platform, translating model-behavior findings — evaluations, red-teaming, adversarial testing — into concrete product guardrails and safety features. Expect deep questions on how you'd scope safety evaluation frameworks, prioritize a safety roadmap against misuse patterns and threat vectors, and communicate research nuance to both researchers and non-technical stakeholders. Strong answers show real technical fluency with model evaluations, not just PM process.

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What this interview tests

Translating safety research/evaluations into product guardrails
AI-specific threat vectors: prompt injection, jailbreaks, RAG poisoning, agentic misuse
Defining evaluation frameworks to catch safety regressions
Operating in ambiguity and prioritizing under evolving threat findings
Cross-functional alignment across research, engineering, and policy