GSK · 3 hours ago
Senior Product Manager
Collegeville, PA
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 health. They are seeking an experienced Senior Product Manager to lead the product strategy and roadmap for molecule design solutions, ensuring that scientists have access to cutting-edge technology to improve research productivity.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments
Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core
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
Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx’s overall product vision and objectives
Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements
Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals
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
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
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
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
Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction
Continuously monitor product performance, 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
Bachelor's degree in Bioinformatics, computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering or related discipline
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
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 manage or interpret complex, unstructured biomedical 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
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 (34)
2024 (56)
2023 (55)
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
EIN Presswire
2025-11-24
Company data provided by crunchbase