Product Manager, Safety Research

🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

✅ Produktmanager

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Cohere

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11 - 50 Mitarbeiter

🤖 Künstliche Intelligenz

🏢 Unternehmen

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere ist eine führende KI-Plattform, die Unternehmen fortschrittliche Sprachmodelle und einen integrierten Arbeitsbereich bietet, der auf Effizienz und Sicherheit ausgelegt ist. Mit einer Reihe von leistungsstarken generativen und Retrieval-Modellen ermöglicht Cohere Organisationen die Optimierung von Arbeitsabläufen, die Verbesserung der Datensicherheit und das Erschließen von Erkenntnissen über verschiedene Branchen hinweg durch mehrsprachige Fähigkeiten. Ihr Fokus auf maßgeschneiderte KI-Lösungen gewährleistet den Schutz kritischer Daten und erleichtert die nahtlose Integration in bestehende organisatorische Prozesse.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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!)