[Remote] Product Manager, Safety Research

Note: The job is a remote job and is open to candidates in USA. Cohere is a company focused on scaling intelligence to serve humanity through AI systems. They are seeking a Safety Research PM to bridge AI safety research and product delivery, engaging with research teams to implement safety features in their North platform.

Responsibilities

• 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

Skills

• 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
• 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 at a technology company
• Experience building zero-to-one processes in research or safety contexts
• Prior exposure to agentic AI systems and the unique safety challenges introduced by tool use, multi-step reasoning, and autonomous execution

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!)

Company Overview

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