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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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这场面试考什么

  • 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

常见提问方向

Describe turning a red-teaming or eval finding into a shipped guardrail

How would you build an evaluation framework to catch safety regressions as the product evolves

A time you had to make a fast judgment call on an ambiguous safety finding

How do you communicate nuanced research findings to non-technical stakeholders without oversimplifying

Walk through how you'd prioritize a safety roadmap given misuse patterns and customer requirements

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