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CohereCohereSan Francisco, CA

Product Manager, Safety Research

Bridges AI safety research and North product, translating model evaluations and threats into safety features, roadmaps, and guardrails. Requires 5+ years PM/research ops experience with ML teams and technical depth in AI safety.

Salary not listed
Remote5+ YOEProduct Management

About the role

Responsibilities

  • Serve as product bridge between safety research teams and North, translating findings into guardrails and safeguards.
  • Own safety product roadmap, prioritizing based on research, misuse patterns, threats, and customer needs.
  • Partner with modeling teams to scope and interpret safety evaluations across adversarial inputs and edge cases.
  • Define evaluation frameworks to assess safety properties and detect regressions.
  • Coordinate guardrails and interventions across research, engineering, and policy.
  • Monitor AI safety landscape (prompt injection, jailbreaks, agentic misuse) and reflect in roadmap.
  • Build processes for scaling safety review as product grows.

Requirements

  • 5+ years product management or research operations, with ML/research team experience at tech/AI company.
  • Technical depth to engage with safety researchers.
  • Interest in AI safety and LLM deployment implications.
  • Comfort in ambiguity with strong judgment.
  • Ability to align researchers, engineers, product teams.
  • Strong written communication for non-technical audiences.

Nice-to-Haves

  • Experience with LLM evaluation, red-teaming, safety benchmarking.
  • Familiarity with AI threats: prompt injection, jailbreaks, RAG poisoning, agentic misuse.
  • Background in trust/safety, content policy, research operations.
  • Building zero-to-one processes in research/safety.
  • Exposure to agentic AI safety challenges.

Skills

Llm EvaluationRed-TeamingSafety BenchmarkingPrompt InjectionJailbreaksRAGAgentic AIModel EvaluationsGuardrailsAi Safety Research
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