Product Management Lead in AI at Genesis Molecular AI, advancing drug discovery processes through AI and machine learning. Collaborating across technical domains to drive impactful product strategies.
Responsibilities
Define, maintain, and communicate the technical and scientific product roadmap in alignment with company goals, ensuring prioritization of impactful projects.
Deeply understand user needs, translate workflow complexity into simple and effective product design.
Facilitate effective collaboration among software engineers, ML researchers, and computational chemistry scientists, acting as a glue to bridge technical and scientific perspectives.
Act as the primary point of contact for internal stakeholders, gathering input and communicating progress effectively.
Leverage data and feedback to make informed decisions and iterate on product features.
Translate company objectives into actionable product plans, ensuring alignment with user needs and strategic goals.
Drive projects from concept to completion, ensuring high-quality deliverables on time and within scope.
Identify potential risks in product development and proactively implement mitigation strategies.
Requirements
5+ years of product management experience in a technical or scientific environment
Bachelor’s degree in Computer Science, Engineering, Chemistry, or related field (advanced degree preferred)
Strong understanding of machine learning systems and data infrastructure
Literacy in drug discovery, structural biology, or computational chemistry
Proven ability to operate at the interface of ML and life sciences
Demonstrated experience translating computational results into actionable scientific outcomes
Experience leading complex, cross-functional initiatives
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