
Product Manager, Safety Research
Cohere
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- 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.
- Own the safety product roadmap for Cohere and North, prioritizing features based on research findings, observed misuse patterns, evolving threat vectors, and customer requirements.
- 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.
- 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.
- 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.
- Monitor the AI safety research landscape — from prompt injection and jailbreaks to emerging misuse patterns in agentic systems — and ensure North's roadmap reflects what the research is surfacing.
- Build processes for scaling safety review as North's surface area grows, including how new features get assessed for safety risk before launch.
Requirements
- 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: you don't need to run evals yourself, but you need to understand what they mean and ask the right questions.
- Genuine interest in AI safety and model behavior, including the real-world implications of deploying LLMs in enterprise contexts.
- Comfortable operating in ambiguity — safety research surfaces unexpected findings, and this role requires good judgment about what to act on and how fast.
- Able to work across researchers, engineers, and product teams and keep everyone aligned without flattening the nuance of what the research is actually saying.
- Strong written communicator who can translate complex model behavior findings for non-technical audiences and knows when something needs to be escalated urgently.
Benefits
- An open and inclusive culture and work environment
- Work closely with a team on the cutting edge of AI research
- Weekly lunch stipend, in-office lunches & snacks
- Full health and dental benefits, including a separate budget to take care of your mental health
- 100% Parental Leave top-up for up to 6 months
- Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
- 6 weeks of vacation (30 working days!)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementresearch operationssafety evaluationsevaluation frameworksguardrails developmentintervention mechanismsAI safetymodel behaviorLLMssafety risk assessment
Soft Skills
good judgmentcommunicationcollaborationalignmentoperating in ambiguitytranslating complex findingsescalationprioritizationcritical thinkingadaptability