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Senior Product Manager, GenAI Platform Products
Job in
Collegeville, Montgomery County, Pennsylvania, 19426, USA
Listed on 2026-01-12
Listing for:
GSK
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
Senior Product Manager, GenAI Platform Products
Apply for the Senior Product Manager, GenAI Platform Products role at GSK.
Site: 200 Cambridge Park Drive, Upper Providence
Posted:
Dec 4 2025
The 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 building a next‑generation data experience, providing best‑in‑class AI/ML environments, and aggressively engineering data at scale.
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.
- 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 shape platform direction.
- Product Planning & Delivery – Collaborate with stakeholders to define platform features, requirements, and success criteria; 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.
- Launch, Adoption & Optimization – Lead platform launches and change‑management activities; 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 of relevant experience.
- 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.
- 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.
- Knowledge of cloud‑native architectures (e.g., AWS, Azure, GCP), API design, high‑performance serving infrastructure, and platform components required to securely deploy and scale LLM‑based applications for enterprise use.
- Experience working closely with platform engineering, MLOps, and security teams to build reliable, governed, reusable GenAI capabilities.
- Experience driving platform adoption, governance, and developer enablement, including SDKs, templates, guardrails, and onboarding materials for cross‑functional teams.
- Direct product management experience designing and launching GenAI agents and platform capabilities that leverage tool use (APIs, function calling), planning modules, and multi‑step reasoning.
- Hands‑on software engineering or data science experience within a GenAI or ML platform team prior to transitioning into product management.
- Deep familiarity with modern transformer‑based model architectures and ability to make platform‑level strategic decisions between proprietary and open‑source models.
- Experience delivering platform capabilities that manage, index, or interpret complex, unstructured biomedical or scientific data through embeddings, vector stores, or structured retrieval frameworks.
- Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how enterprise‑scale GenAI platforms can power the next generation of scientific automation and agentic workflows.
- Extensive platform product…
Position Requirements
10+ Years
work experience
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