Senior Product Manager, GenAI Platform Products
Listed on 2026-01-12
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IT/Tech
AI Engineer
Site Information
Site Name: 200 Cambridge Park Drive, Upper Providence
Posted Date: Dec 8 2025
OverviewThe Onyx Research Data Tech organization is 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. It is a full‑stack shop that includes product and portfolio leadership, data engineering, infrastructure and Dev Ops, data / metadata / knowledge platforms, and AI/ML and analysis platforms—all geared toward enhancing productivity for GSK’s scientists, engineers, and decision makers.
- Building a next‑generation data experience that reduces time spent on “data mechanics.”
- Providing best‑in‑class AI/ML and data analysis environments to accelerate predictive capabilities and attract top‑tier talent.
- Aggressively engineering data at scale to unlock the value of our combined data assets and predictions in real‑time.
At the heart of Onyx, 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 the GenAI platform product suite— 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 frameworks, enabling R&D teams to rapidly prototype, operationalize, and scale GenAI solutions and ultimately deliver new medicines for our patients.
Key Responsibilities 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.
- 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.
- 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.
- 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.
- 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.
- PhD + 2 years, Masters + 4 years, or Bachelors + 6 years.
- 4+ years of product management experience 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 strategy for modern GenAI systems, including hands‑on familiarity with core technologies such as RAG pipelines, embedding services, prompt templates, agent frameworks, vector databases, and evaluation tooling.
- Experience with cloud‑native…
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