Product Manager, Safety Research

Cohere Cohere · AI Frontier · United States · Product Management & Program Management

Product Manager for Safety Research at Cohere, focusing on bridging AI safety research with the North agentic AI platform. The role involves translating research findings into product-level safety features, defining the safety product roadmap, partnering with modeling teams on evaluations, and coordinating the development of guardrails and intervention mechanisms. Requires technical depth to engage with researchers and product instincts for translating insights into actionable product strategies.

What you'd actually do

  1. Serve as the product bridge between Cohere's safety research teams and North, ensuring that findings from model evaluations, red-teaming, and behavioral research translate into product-level guardrails, controls, and safeguards.
  2. Own the safety product roadmap for Cohere and North, prioritizing features based on research findings, observed misuse patterns, evolving threat vectors, and customer requirements.
  3. Partner with modeling teams to scope and interpret safety evaluations — understanding how Cohere’s underlying models behave across adversarial inputs, edge cases, and high-stakes use cases.
  4. Define and drive evaluation frameworks for assessing how safety properties hold up as models and product capabilities evolve, ensuring regressions surface before they reach customers.
  5. Coordinate the development of guardrails and intervention mechanisms — working across research, engineering, and policy to determine where and how safety controls should be implemented within North's product layer.

Skills

Required

  • Product management or research operations experience
  • Experience working alongside research or ML teams
  • Technical depth to engage with safety researchers
  • Understanding of AI safety and model behavior
  • Ability to operate in ambiguity
  • Cross-functional collaboration skills
  • Strong written communication skills

Nice to have

  • Hands-on experience with LLM evaluation, red-teaming, safety benchmarking, or behavioral research
  • Familiarity with AI-specific threat vectors: prompt injection, jailbreaks, RAG poisoning, or misuse patterns in agentic systems
  • Background in trust and safety, content policy, or a research-adjacent operational role
  • Experience building zero-to-one processes in research or safety contexts
  • Prior exposure to agentic AI systems and their safety challenges

What the JD emphasized

  • 5+ years of product management or research operations experience, with meaningful time working alongside research or ML teams at a technology or AI company.
  • Technical depth sufficient to engage credibly with safety researchers
  • Genuine interest in AI safety and model behavior
  • Comfortable operating in ambiguity
  • Able to work across researchers, engineers, and product teams
  • Strong written communicator who can translate complex model behavior findings for non-technical audiences and knows when something needs to be escalated urgently.

Other signals

  • AI safety research
  • product delivery
  • model behavior
  • safety features
  • guardrails
  • evaluations
  • red-teaming
  • agentic systems