Genesis Molecular AI
Engineering Manager, Product Engineering Team
San Mateo, CA
Sponsorship not specifiedDetected 34 days ago
Distributed SystemsBackend DevelopmentFull-Stack DevelopmentCloud PlatformsMachine LearningAgentic AIProduct ManagementProduct StrategyPerformance ManagementLeadershipCommunicationCollaborationMentoring
About the role
- This is a leadership role that combines people management, technical leadership, product partnership, and hands-on contribution.
- 20% of your time will be dedicated to recruiting and organizational growth
- 20% to roadmap management and cross-functional planning
Responsibilities
- Provide technical leadership on system architecture, platform design, scalability, reliability, and engineering best practices.
- Act as a hands-on technical leader, contributing directly through software development, architecture, design reviews, technical strategy, and critical engineering initiatives.
- Drive delivery of user-facing features and platform capabilities that accelerate molecular design and drug discovery workflows.
- Lead complex technical investigations and help unblock the team on high-impact architectural and implementation challenges.
- Drive prioritization and planning processes that align engineering investments with company objectives.
- Collaborate with stakeholders to understand user needs and translate them into impactful product experiences.
Requirements
- Bachelor's degree in Computer Science, Engineering, Computational Chemistry, or a related technical field.
- 5+ years of professional software engineering experience, including at least 2+ years in an engineering leadership or people management role.
- Experience leading cross-functional product engineering teams delivering customer-facing software products.
- Demonstrated ability to remain technically hands-on, including writing and shipping production code, while managing and growing engineering teams.
- Demonstrated ability to balance technical excellence with pragmatic execution and business outcomes.
- Strong technical background in modern software architecture, distributed systems, cloud infrastructure, and full-stack application development.
- Experience partnering closely with Product Management and Design to define roadmaps, prioritize features, and deliver impactful user experiences.
- Experience hiring, mentoring, and developing engineers across different levels of seniority.
- Strong communication and collaboration skills, with the ability to work effectively across engineering, product, machine learning, and scientific teams.
- Ability to navigate ambiguity, make thoughtful tradeoffs, and drive alignment across diverse stakeholders.
- Interest in applying technology to scientific discovery and willingness to learn the drug discovery domain.
Nice to have
- Experience working with modern frontend frameworks, backend services, cloud-native architectures, and AI-enabled applications.
- Familiarity with drug discovery, molecular modeling, cheminformatics, computational chemistry, or related scientific domains.
- Experience scaling engineering organizations, processes, and technical platforms through periods of rapid growth.
- Track record of delivering complex products from concept through launch and adoption.
- About Genesis Molecular AI
- Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T.
- Rowe Price, Fidelity, and Radical Ventures.
- Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego.
Benefits
- Partner with machine learning and scientific teams to integrate advanced AI capabilities into product workflows.
- Partner with Product, Design, Machine Learning, and Scientific teams to define product strategy, roadmap priorities, and execution plans.
Company info
- Genesis Molecular AI is building an agentic IDE for drug discovery-a platform that helps scientists explore, design, and optimize molecules with the assistance of cutting-edge AI.
- Our Product Engineering Team sits at the intersection of software engineering, AI, and computational chemistry.
- The team includes frontend and backend software engineers, computational chemists, and product-minded technical contributors working together to create intuitive, powerful tools that accelerate scientific discovery.
- We are looking for leaders who are excited about building exceptional products in a highly interdisciplinary environment.
- You will collaborate with world-class chemists, biologists, machine learning researchers, and engineers to create software that transforms how medicines are discovered.
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