Associate Director Product Management - Enterprise AI

Regeneron Pharmaceuticals • Tarrytown, GA

1d • $157,200 - $256,600

About The Position

Regeneron’s newly established Enterprise Data & AI organization is focused on driving AI transformation and adoption across the enterprise. The Associate Director Product Management - Enterprise AI will own the roadmap for an assigned portfolio of enterprise AI platforms and tools, including internal AI assistants, secure data-connected applications, and agentic solutions. The role translates business needs into technical requirements, makes analytically grounded product decisions, and uses data and user feedback to shape future capabilities.

The position combines product leadership with a forward deployed engineering approach. It embeds with global development, business, and scientific teams to scope, prototype, and deploy AI and agentic solutions into production, then feeds field insights back into the platform roadmap. The role works closely with the Chief AI Officer’s leadership team, the AI Innovation leader, Platform Engineering, Delivery Managers, and Business Unit IT partners to deliver trusted, useful AI platforms adopted at enterprise scale.

The role owns product strategy and release planning for its portfolio; leads development of platform components and tooling; supports evaluation, piloting, and deployment of technologies; and drives product adoption and continuous improvement. It also contributes hands-on to prototypes, integrations, and evaluations when needed, and codifies effective approaches into reusable building blocks, playbooks, and reference architectures. The position is based in Tarrytown, New York. The posting states an annual salary range of $157,200 to $256,600.

Requirements

• Bachelor's degree in a related field.
• At least 10 years of progressive experience in technical product management.
• Strong working knowledge of large language models, foundation models, and generative AI, including capabilities, limitations, and evaluation.
• Familiarity with agentic AI, including autonomous and multi-step agents, tool use, planning and orchestration, and human-in-the-loop design.
• Hands-on understanding of interoperability standards, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols.
• 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.
• Understanding of AI evaluation and observability, including building evaluations, measuring quality and safety, monitoring drift, and managing model or agent performance in production.
• Awareness of responsible and secure AI practices, including 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.
• Ability to translate ambiguous business needs into clear product requirements and measurable outcomes.
• Ability to balance technical depth with product judgment and stakeholder empathy.
• Strong attention to detail and careful scrutiny of data before relying on it.
• Ability to drive consensus across engineering, data science, business, IT, and Legal.
• Experience in embedded or customer-facing technical delivery, such as forward deployed engineering, solutions engineering, or applied AI prototyping.
• Hands-on engineering ability to prototype, integrate, and ship production-ready solutions, including contributing code when needed.
• Ability to scope and deliver complex deployments in ambiguous, fast-moving environments while balancing scope, speed, and quality.
• Comfort owning roadmap, budget inputs, and outcomes for an assigned portfolio.

Nice To Haves

• Master's degree, MBA, or other advanced degree.

Responsibilities

• Own the release strategy and roadmap for an assigned portfolio of AI platforms and tools, aligned with the enterprise digital roadmap and EDAI platform strategy.
• Build business cases for developing, acquiring, or investing in AI/ML capabilities, datasets, platforms, and tools.
• Prioritize competing demands and frame recommendations with clear assumptions and analytical rigor.
• Develop insight into colleague and end-user pain points and identify high-value opportunities to improve their experience.
• Lead technical product development for assigned components of large-scale AI platforms, AI/ML models, and supporting tooling in partnership with engineering and Business Digital teams.
• Define requirements for platform capabilities including data access, model serving, search and ranking, automation pipelines, and self-service tools.
• Guide the use of cloud technologies, including AWS, Azure, and GCP, to build and deploy automated ML and analytics pipelines.
• Evaluate, pilot, and deploy new technologies using criteria established with product leadership.
• Drive product adoption by measuring usage, gathering feedback, and continuously improving products.
• Partner with GCC engineering teams to translate architecture decisions and product requirements into well-scoped, production-ready deliverables, maintaining alignment on roadmap priorities, handoff standards, and delivery quality.
• Embed with business and scientific teams to scope, build, and deploy AI and agentic solutions from prototype through stable production.
• Own discovery, technical scoping, system design, and production rollout for priority deployments, working with BU IT and Platform Engineering.
• Contribute hands-on to prototypes, integrations, and evaluations when needed to make progress or clarify direction.
• Evaluate and onboard AI model capabilities, including upgrades, tool use, and MCP-based integrations, against quality, safety, and cost criteria.
• Capture field feedback on model and platform performance and incorporate it into the roadmap and evaluation suites.
• Codify repeatable patterns into reusable building blocks, playbooks, and reference architectures for adoption across business units.

Benefits

• Annual bonuses or other incentive plans may be available, depending on country and role.
• Equity awards may be available, depending on country and role.
• Pension or retirement benefits may be available, depending on country and role.
• 401(k) company match.
• Health and wellness programs.
• Fitness centers.
• Insurance benefits, including medical, dental, vision, life, and disability coverage.
• Paid time off.
• Family support benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior