GSK
Senior Product Manager, GenAI Platform Products
GSK, Collegeville, Pennsylvania, United States, 19426
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
Overview 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 DevOps, 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.
Basic Qualifications
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.
Preferred Qualifications
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 experience designing, optimizing, and implementing Model Context Protocols (MCP) or similar orchestration frameworks for LLM‑powered agents.
Hands‑on experience with product management and technical collaboration tools such as Confluence, Jira, Miro, Monday, Notion, and Git‑based documentation.
Previous experience in life sciences or biopharma R&D is a strong plus.
Benefits & Compensation Annual base salary ranges $137,775 to $229,625 (location dependent). The position offers an annual bonus, eligibility to participate in share‑based long‑term incentive program, and comprehensive benefits including health care, retirement, paid holidays, vacation, and paid caregiver/parental and medical leave.
Equal Opportunity Employer GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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Site: 200 Cambridge Park Drive, Upper Providence
Posted: Dec 4 2025
Overview 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 DevOps, 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.
Basic Qualifications
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.
Preferred Qualifications
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 experience designing, optimizing, and implementing Model Context Protocols (MCP) or similar orchestration frameworks for LLM‑powered agents.
Hands‑on experience with product management and technical collaboration tools such as Confluence, Jira, Miro, Monday, Notion, and Git‑based documentation.
Previous experience in life sciences or biopharma R&D is a strong plus.
Benefits & Compensation Annual base salary ranges $137,775 to $229,625 (location dependent). The position offers an annual bonus, eligibility to participate in share‑based long‑term incentive program, and comprehensive benefits including health care, retirement, paid holidays, vacation, and paid caregiver/parental and medical leave.
Equal Opportunity Employer GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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