Director Product Management — Enterprise AI Platforms & Tools
Core
Define strategy and roadmap for Regeneron's enterprise AI platforms and tools, translating business needs into technical requirements to enable internal AI adoption.
Role type
Director, Product Management (Enterprise AI Platforms)
Builds
Internal AI assistants, secure data-connected applications, and agentic solutions for enterprise colleagues.
Domain
Biotechnology / Enterprise AI Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Large language models (LLMs) and foundation models, agentic AI (autonomous agents, tool use, orchestration), retrieval-augmented generation (RAG), vector databases, MLOps/LLMOps, AI evaluation and observability, responsible AI practices.
Preferred skills
Masters degree, MBA, or advanced degree.
Technologies
AWS, Azure, GCP, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols.
Responsibilities
Release strategy and roadmap for AI platforms, build business cases for new AI/ML capabilities, prioritize competing demands, develop insight into end-user pain points, lead technical product development of large-scale AI platforms, define requirements for core platform capabilities, guide use of cloud technologies for automated ML pipelines, drive product adoption through usage measurement and feedback.
Seniority
Director, strategic leadership with hands-on technical product development