GSK · 15 hours ago
Senior Product Manager
Cambridge, MA
Full-time
Onsite
Mid, Senior Level
$138K/yr - $230K/yr
4+ years expGSK is a global biopharma company focused on uniting science, technology, and talent to advance healthcare. They are seeking a Senior Product Manager to lead the design and delivery of target and patient discovery products to enhance research productivity and support drug development.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Drive Product Development & Adoption: Own and lead the product roadmap, product development, launch and adoption of novel target and patient discovery solutions that enable identification and validation of drug targets and patient populations, benefitting the scientific community at GSK across multiple departments
Shape GenAI Strategy: Play a key role in defining the strategic direction for target and patient discovery tools with GenAI capabilities at the core
Deliver Collaboratively: Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities
Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for target and patient discovery solutions and tools, aligned with the Onyx’s overall product vision and objectives
Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements
Engage with scientific leaders to understand evolving needs in target and patient discovery
Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals
Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management
GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation
Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems
Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems
Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption
Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures
Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps& Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans
Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction
Product Performance and Optimization: Define and continuously monitor product performance metrics, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience
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 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting
Experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning
Technical experience with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications
Preferred
Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment
Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management
Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models
Experience building products that facilitate integration, visualization, and analysis of structured and unstructured biomedical data (e.g., genomics, proteomics, clinical data)
Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process
Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions
Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc
Previous experience in life science industry or biopharma R&D is a 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
2026-01-16
2026-01-13
South China Morning Post
2026-01-08
Company data provided by crunchbase