Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Genesis Molecular AI

Engineering Manager, Product Engineering Team

Genesis Molecular AI

Engineering Manager leading a multidisciplinary team to build drug discovery software at Genesis Molecular AI. Collaborating with scientists and engineers to innovate in molecular AI technology.

Posted 7/27/2026full-timeSan Mateo • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudDistributed Systems

About the role

Key responsibilities & impact
  • 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.
  • 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.
  • 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.
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Health insurance
  • 401(k)
  • Flexible work arrangements
  • Professional development opportunities