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Senior Product Manager, GenAI Platform Products

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: GlaxoSmithKline
Full Time position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    AI Engineer
Job Description & How to Apply Below

Site Name: 200 Cambridge Park Drive, Upper Providence
Posted Date:
Dec 4 2025

The Onyx Research Data organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step‑change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full‑stack shop consisting of product and portfolio leadership, data engineering, infrastructure and Dev Ops, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward:

  • Building a next‑generation data experience for GSK’s scientists, engineers, and decision‑makers, increasing productivity and reducing time spent on “data mechanics.”
  • Providing best‑in‑class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top‑tier talent.
  • Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real‑time.

Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end‑user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer‑facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data‑powered / LLM‑enabled applications.

We are seeking an experienced Senior Product Manager to lead the strategy and delivery of GenAI platform product‑s – the core platform that enables development and deployment of GenAI‑powered applications, agents, and MCP services. This platform provides unified access to LLMs, embeddings, vector search prompt orchestration, model routing, and agent framework(s), enabling R&D teams to rapidly prototype, operationalize, and scale GenAI solutions and ultimately deliver new medicines for our patients.

Key

responsibilities include Ownership & Strategy
  • Own and drive the vision, roadmap, development, and adoption of GenAI platform capabilities, ensuring a unified, governed, and high‑quality experience for LLMs, embeddings, vector search, prompt orchestration, model routing, agent frameworks, and MCP services.
  • Define the strategic direction for GenAI capabilities, enabling scalable, compliant, production‑ready GenAI and agentic applications across R&D.
Customer & Stakeholder Engagement
  • Conduct ongoing customer discovery with scientists and AI/ML practitioners to identify emerging needs and translate them into actionable product requirements.
  • Lead technical product discussions with engineering and scientific leaders to clarify objectives and shape platform direction.
Product Planning & Delivery
  • Collaborate with stakeholders to define platform features, requirements, and success criteria aligned with scientific use cases and business goals.
  • Drive agile product execution with engineering and program teams, owning prioritization, backlog management, and delivery of high‑quality platform releases.
Platform Integration & Governance
  • Ensure seamless integration with the Data Platform and AI/ML Platform to enable shared data standards, consistent data and model lifecycle management, and full interoperability across GenAI‑powered applications.
  • Coordinate and align roadmap with R&D platforms to ensure interoperability, governance alignment, and a unified enterprise data, compute, AI, and application ecosystem.
Launch, Adoption & Optimization
  • Lead platform launches and change‑management activities to ensure clear communication, training, and successful adoption across R&D.
  • Monitor platform usage and performance, analyze feedback and telemetry, and drive continuous improvements to enhance usability, reliability, and scientific impact.
Basic Qualifications

We are looking for professionals with these required skills to achieve our goals.

  • PhD + 2 years, Masters + 4 years, or Bachelors + 6 years.
  • 4+ years of experience in product management with a proven track record of shipping 0‑to‑1 platform capabilities powered by GenAI, LLMs, or autonomous agents in a commercial or large‑scale enterprise setting.
  • Experience defining platform…
Position Requirements
10+ Years work experience
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