Product Manager, Safety Research

🕒 il y a 2 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Recevoir des emails pour des emplois à distance

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

Cohere

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere est une plateforme d’IA de premier plan qui fournit aux entreprises des modèles de langage avancés et un espace de travail (workspace) intégré conçu pour l’efficacité et la sécurité. Grâce à une famille de modèles génératifs et de retrieval hautes performances, Cohere permet aux organisations de rationaliser leurs workflows, de renforcer la sécurité des données et de révéler des insights dans de nombreux secteurs grâce à des capacités multilingues. Leur priorité accordée à des solutions d’IA sur mesure garantit la protection des données critiques tout en facilitant une intégration fluide aux processus opérationnels existants.

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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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!)