Jobs · Marketing · New York

Director Product Management Enterprise AI Platforms & Tools

BioSpace · Tarrytown, NY · 2 wk ago
Marketing$183k–$305k/yrFull-time

About the Role

Regeneron's newly established Enterprise Data & AI organization is built to drive AI transformation and adoption at scale across every part of the organization. This high-visibility, high-velocity position is directly tied to business and scientific impact. As the product leader for Regeneron's AI platforms and tools, you will shape how the enterprise builds, accesses, and adopts AI capabilities, including internal AI assistants, secure data-connected applications, and agentic solutions.

This position can be based in any of our Tri-State area campuses: Tarrytown, NY; Sleepy Hollow, NY; Armonk, NY; or Warren, NJ.

Responsibilities

  • Be responsible for the release strategy and roadmap for Regeneron's AI platforms and tools, aligned to the enterprise digital roadmap.
  • Build business cases to develop, acquire, or invest in new AI/ML capabilities, datasets, platforms, and tools.
  • Prioritize ruthlessly across competing demands, framing recommendations with clear assumptions and analytical rigor.
  • Develop deep insight into colleague and end-user pain points and identify the highest-value opportunities to improve their experience.
  • Lead the technical product development of large-scale AI platforms, machine learning/AI models, and supporting tooling, partnering with engineering and Business Digital teams to ship high-quality deliverables.
  • Define requirements for core platform capabilities: data access, model serving, search/ranking, automation pipelines, and self-serve tools.
  • Guide the use of cloud technologies (AWS, Azure, GCP) for building and deploying automated ML and analytics pipelines.
  • Set the evaluation framework and criteria, pilot, and deploy new technologies to build an industry-leading internal AI ecosystem.
  • Drive product adoption: measure usage, gather feedback, and continuously improve.
  • Partner with GCC engineering teams to translate platform architecture decisions and product requirements into well-scoped, production-ready deliverables; maintain ongoing alignment on roadmap priorities, handoff standards, and delivery quality.

Requirements

  • Bachelor's degree in a related field required; Master's, MBA, or advanced degree preferred.
  • 12+ years of progressive experience in technical product management.
  • Strong working knowledge of large language models (LLMs), foundation models, and modern generative AI, including their capabilities, limitations, and evaluation.
  • Familiarity with agentic AI: autonomous and multi-step agents, tool use, planning/orchestration, and human-in-the-loop design.
  • Hands-on understanding of emerging interoperability standards, including the Model Context Protocol (MCP) for connecting models to tools and data, and Agent-to-Agent (A2A) protocols for multi-agent coordination.
  • Experience with retrieval-augmented generation (RAG), vector databases, embeddings, and grounding models in enterprise data.
  • Familiarity with prompt engineering, context engineering, fine-tuning, and model customization techniques.
  • Understanding of AI evaluation and observability: building evals, measuring quality/safety, monitoring drift, and managing model/agent performance in production.
  • Awareness of responsible and secure AI practices: guardrails, access controls, data privacy, and AI governance frameworks.
  • Familiarity with MLOps/LLMOps tooling and orchestration frameworks for building, deploying, and maintaining AI applications and pipelines.

Benefits

Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role:

  • Annual bonuses or other incentive plans.
  • Equity awards.
  • Pension or retirement benefits, 401(k) company match.
  • Health and wellness programs, fitness centers.
  • Insurance benefits (e.g., medical, dental, vision, life, and disability).
  • Paid time off and family support benefits.

Pay

Salary Range (annually): $183,100.00 - $305,200.00.

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