Product Manager, Safety Research

🕒 March 11

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• 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!)