GSK
Senior Product Manager, AI/ML Platform Products
GSK, Collegeville, Pennsylvania, United States, 19426
Senior Product Manager, AI/ML Platform Products
We are seeking an experienced Senior Product Manager to lead the strategy and delivery of AI/ML platform products – the core platform that powers AI/ML model training and deployment across GSK R&D. This role is central to establishing a unified, scalable, and governed enterprise approach to AI/ML, ensuring that R&D teams can efficiently build, evaluate, and operationalize models and ultimately deliver new medicines for our patients.
Key responsibilities:
Ownership & Strategy
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.
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 clarify objectives and shape platform direction.
Product Planning & Delivery
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.
Platform Integration & Governance
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.
Launch, Adoption & Optimization
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.
Basic Qualifications:
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.
Knowledge of 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 Qualifications:
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.
Location:
Cambridge, MA / Waltham, MA / Rockville, MD / San Francisco, CA
Annual Base Salary:
$137,775 to $229,625 (location dependent). Additional bonus and long‑term incentive plans. Benefits include health care, retirement, paid holidays, vacation, caregiver/parental leave, etc. For additional details, visit GSK US Benefits Summary.
GSK is an Equal Opportunity Employer. This ensures that 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.
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Apply online at
GSK Careers . For assistance, contact GSK Service Centre at 1‑877‑694‑7547 (US Toll Free) or +1 801 567 5155 (outside US).
#J-18808-Ljbffr
Key responsibilities:
Ownership & Strategy
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.
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 clarify objectives and shape platform direction.
Product Planning & Delivery
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.
Platform Integration & Governance
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.
Launch, Adoption & Optimization
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.
Basic Qualifications:
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.
Knowledge of 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 Qualifications:
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.
Location:
Cambridge, MA / Waltham, MA / Rockville, MD / San Francisco, CA
Annual Base Salary:
$137,775 to $229,625 (location dependent). Additional bonus and long‑term incentive plans. Benefits include health care, retirement, paid holidays, vacation, caregiver/parental leave, etc. For additional details, visit GSK US Benefits Summary.
GSK is an Equal Opportunity Employer. This ensures that 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.
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Apply online at
GSK Careers . For assistance, contact GSK Service Centre at 1‑877‑694‑7547 (US Toll Free) or +1 801 567 5155 (outside US).
#J-18808-Ljbffr