GSK · 1 day ago
Senior Product Manager, AI/ML Platform Products
Cambridge, MA
Full-time
Onsite
Mid, Senior Level
$138K/yr - $230K/yr
4+ years expGSK is a global biopharma company dedicated to advancing health through innovation. They are seeking a Senior Product Manager to lead the strategy and delivery of AI/ML platform products that enable efficient model training and deployment across GSK R&D, ultimately supporting the development of new medicines.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Own and drive the product vision, roadmap, and adoption of the AI/ML Platform, delivering core capabilities for model training, fine-tuning, evaluation, deployment, monitoring, and lifecycle management
Define the strategic direction for foundational AI/ML tooling and ensure platform capabilities meet the needs of diverse R&D model development workflows and scientific applications
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 to enable shared data standards and consistent data/model lifecycle management
Coordinate and align product 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 delivering AI-powered applications (0-to-1 or scaled products) that solve concrete business or scientific problems in an enterprise or regulated environment
Experience defining product strategy for modern applications, including experience working closely with data scientists, ML engineers, and domain experts to shape model requirements, model evaluation frameworks, and end-to-end user workflows
Experience with AI/ML fundamentals, including understanding of model development lifecycles, data pipelines, feature engineering, and MLOps practices—paired with the ability to translate business needs into technical requirements
Experience integrating AI models into user-facing products, including UX workflows, decision-support tools, automation flows, or scientific applications used by R&D teams
Experience driving adoption, change management, and measurable business impact for AI solutions across diverse R&D user groups
Preferred
Direct product management experience building and launching AI/ML-powered applications, including decision-support tools, workflow automation, scientific insight generation, or predictive modeling used by R&D, clinical, or operational teams
Hands-on experience collaborating with data scientists or ML engineers to define problem statements, model requirements, evaluation approaches, and ML deployment workflows prior to—or alongside—transitioning into product management
Familiarity with modern ML and transformer-based architectures, with the ability to evaluate trade-offs between off-the-shelf models, open-source models, and domain-specific fine-tuned models depending on performance, regulatory, and data constraints
Experience developing products that analyze or surface complex, unstructured scientific data, including biomedical text, omics data, imaging, or knowledge graphs
Working knowledge of bioinformatics, computational biology, or cheminformatics, and a clear vision for how AI-driven applications can accelerate research workflows and scientific decision-making
Product experience shaping end-to-end ML-driven workflows, including feature pipelines, model serving, monitoring, human-in-the-loop review, and domain-specific UX requirements for scientific users
Hands-on experience with product management and collaboration tools such as Confluence, Jira, Miro, Monday, or Notion for roadmap, documentation, and cross-functional planning
Previous experience in life sciences or biopharma R&D is a strong plus
Benefits
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
2026-01-13
South China Morning Post
2026-01-08
2026-01-07
Company data provided by crunchbase