Engineering Manager, Product Engineering Team

About the Team 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. About the Role As Engineering Manager of the Product Engineering Team, you will lead a multidisciplinary team responsible for building and scaling Genesis's agentic drug discovery platform. This is a leadership role that combines people management, technical leadership, product partnership, and hands-on contribution. Unlike a traditional engineering management position, this role is intentionally structured to maintain significant individual technical impact. Approximately: 20% of your time will be dedicated to recruiting and organizational growth 20% to roadmap management and cross-functional planning 20% to people leadership and team development 40% to high-leverage individual contribution through architecture, technical strategy, system design, and shipping production code on critical initiatives You will work closely with engineering, product, design, machine learning, and scientific stakeholders to define roadmaps, prioritize features, and deliver high-impact capabilities for our users. Success in this role requires balancing long-term platform investments with rapid product iteration, helping the team deliver exceptional user experiences while maintaining a scalable and reliable technical foundation. Responsibilities Technical Leadership & High-Leverage Individual Contribution (40%) 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. Write, review, and ship production code for high-impact features, platform capabilities, and foundational systems. Drive delivery of user-facing features and platform capabilities that accelerate molecular design and drug discovery workflows. Partner with machine learning and scientific teams to integrate advanced AI capabilities into product workflows. Establish effective engineering processes that enable predictable delivery while maintaining flexibility in a fast-moving environment. Ensure high standards for software quality, testing, observability, security, and operational excellence. Lead complex technical investigations and help unblock the team on high-impact architectural and implementation challenges. Roadmap Management & Cross-Functional Execution (20%) Partner with Product, Design, Machine Learning, and Scientific teams to define product strategy, roadmap priorities, and execution plans. Drive prioritization and planning processes that align engineering investments with company objectives. Communicate roadmap progress, technical strategy, risks, and business impact to stakeholders across the organization. Collaborate with stakeholders to understand user needs and translate them into impactful product experiences. People Leadership & Team Development (20%) Lead and develop a high-performing team of software engineers and computational chemists building Genesis's agentic drug discovery platform. Create a collaborative, inclusive, and growth-oriented team culture focused on ownership, learning, and execution. Own performance management, coaching, feedback, and career development for team members. Facilitate technical decision-making and help the team navigate tradeoffs between speed, quality, maintainability, and business impact. Recruiting & Organizational Growth (20%) Recruit, onboard, and retain exceptional engineering and scientific talent. Develop hiring strategies and partner with leadership to build a world-class Product Engineering organization. Participate actively in sourcing, interviewing, and closing candidates. Help shape team structure, organizational design, and growth plans. Qualifications 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. Strong technical background in modern software architecture, distributed systems, cloud infrastructure, and full-stack application development. Demonstrated ability to remain technically hands-on, including writing and shipping production code, while managing and growing engineering teams. Experience partnering closely with Product Management and Design to define roadmaps, prioritize features, and deliver impactful user experiences. Demonstrated ability to balance technical excellence with pragmatic execution and business outcomes. 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. Preferred Qualifications Experience building developer tools, AI-powered products, agentic systems, scientific software, or technical productivity platforms. Experience working with modern frontend frameworks, backend services, cloud-native architectures, and AI-enabled applications. Experience collaborating with computational chemists, machine learning researchers, or scientific software teams. 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. Experience serving as a technical lead or architect while simultaneously managing teams and organizational growth. About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. 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 has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN ) with a total potential deal value of several billion dollars. Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.