Key skills
AWSAzureCloudGoogle Cloud PlatformRAIMLGenerative AIGenAILLMAgenticMLOpsGCPGoogle CloudAgileProduct Management
About this role
Role Overview
- 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.
- Structure products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration).
Requirements
- PhD + 1 years, Masters + 2 years, or Bachelors + 4 years
- Bachelor’s degree in Bioinformatics, computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering or related discipline.
- 2 + 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.
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
Benefits
- health care and other insurance benefits (for employee and family)
- retirement benefits
- paid holidays
- vacation
- paid caregiver/parental and medical leave