GSK · 6 hours ago
Senior Product Manager, GenAI Platform Products
Collegeville, PA
Full-time
Onsite
Mid, Senior Level
$138K/yr - $230K/yr
4+ years expGSK is a global biopharma company focused on advancing health through innovative medicines and vaccines. They are seeking an experienced Senior Product Manager to lead the strategy and delivery of GenAI platform products, enabling development and deployment of GenAI-powered applications to support research and development efforts.
BiotechnologyHealth CarePharmaceutical
Responsibilities
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
Qualification
Required
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 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 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 that accelerate development for multiple downstream product teams
Experience driving platform adoption, governance, and developer enablement, including SDKs, templates, guardrails, and onboarding materials for cross-functional teams
Preferred
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 to support a broad set of enterprise or scientific workflows
Hands-on software engineering or data science experience within a GenAI or ML platform team prior to transitioning into product management, with exposure to LLM infrastructure, RAG pipelines, and developer tooling
Deep familiarity with modern transformer-based model architectures, with the ability to make platform-level strategic decisions between proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), domain-adapted models, and fine-tuning approaches
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, including strategies for context management, memory systems, prompt optimization, safety, and maintaining coherence over long-running tasks
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
Annual bonus
Eligibility to participate in our share based long term incentive program
Health care and other insurance benefits (for employee and family)
Retirement benefits
Paid holidays
Vacation
Paid caregiver/parental and medical leave
Company
GSK
We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia
10001+ employees
H1B Sponsorship
GSK has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (56)
2023 (54)
2022 (53)
2021 (54)
2020 (72)
Funding
Current Stage
Public CompanyTotal Funding
$25.51MKey Investors
CARB-X
2021-03-02Grant· $18M
2020-09-23Grant· $7.51M
1978-01-13IPO
Leadership Team
Julie Brown
CFO
Mike Elmore
SVP & Chief Information Security Officer, GSK
Recent News
South China Morning Post
2026-01-08
2026-01-07
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