Product Marketing Manager overseeing marketing strategies for Hair Removal and Skin Prep portfolio. Collaborating across functions to drive product growth at a leading medical technology company.
About the role
- Senior Product Manager leading product roadmap for target and patient discovery at GSK. Driving product development with AI/GenAI capabilities to enhance research productivity.
Responsibilities
- 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
- Play a key role in defining the strategic direction for target and patient discovery 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 target and patient discovery solutions and tools
- 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
- Work closely with portfolio and engineering teams in an agile environment
- Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI
- Own the product lifecycle for models and agents
- Lead highly technical product discussions with engineering leaders
- Collaborate with both tech and RD teams to align product strategies
Requirements
- 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
- 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.
Benefits
- health care and other insurance benefits (for employee and family)
- retirement benefits
- paid holidays
- vacation
- paid caregiver/parental and medical leave
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