Somerville, MA30+ days ago
Advancethe agenticscience vision Build on and evolve the product strategy for Generate's agentic platform across the full drug discovery lifecycle Identify high-value scientific workflows that are ripe for agentification Translate company goals into measurable product outcomes tied to scientific productivity, cycle time, and data leverage Expand and scale Generate's internal agentic science infrastructure Partner with Engineering and Scientific teams to build core agentic infrastructure: • Tool orchestration frameworks • Workflow automation layers • Agent evaluation and benchmarking systems • Interfaces into biological data platforms Establish principles for agent reliability, validation, governance, and safety in scientific context in collaboration with cross-functional teams Develop the external ecosystem strategy Map the external landscape of agentic tools, AI copilots, workflow automation platforms, and scientific AI startups Identify build vs. 7+ years of product management experience, ideally including platform or AI-enabled products Experience working in fast-paced, constantly evolving environments within biotech, pharma, and/or tech Strong understanding of and hands-on experience with LLMs, AI agents, and evaluation methods Hands-on experience with continuous discovery, user research, and prototype development for validating both problems and solutions Strong external orientation - aware of the fast-evolving AI and scientific tooling landscape Track record of influencing cross-functional teams without formal authority Excellent communication skills - able to bridge scientists, engineers, and executives Ability to foster an inclusive, collaborative environment and build relationships and trust with a diverse set of stakeholders Bachelor's degree (or equivalent experience) in computational sciences, applied mathematics, life sciences, engineering, or a related field.