Head of Engineering, AI Products

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.

The Team Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide. Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships.

Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools. The AI Products team builds software products that transform AI models and biological data into scalable applications that accelerate scientific discovery. Working closely with AI model developers, researchers, and biologists, we connect the dots between research and scientific impact.

The Opportunity As the Head of Engineering for the AI Products group, you would lead a team of highly motivated and talented software engineers to build tools and products that accelerate the processing and interpretation of biological data and cutting-edge foundation models in biology. The team will tackle ambitious technical challenges — running model inference at scale; interpreting and visualizing multi-dimensional, high-resolution images and videos of cells; and processing and visualizing protein datasets containing over 1 billion proteins. Working closely with Product Managers, Product Designers, and Product Marketers, the team’s work will power the next generation of products that accelerate the analysis and interpretation of complex biological data using cutting-edge foundation models.

This is an opportunity to shape the future of AI-driven biology while leading a team that turns breakthrough research into impactful, real-world solutions.

What You'Ll Do

Lead an engineering team focused on building reliable, scalable, extensible software products. Work cross-functionally with internal and external partners to develop and deliver on the roadmap, and to shape the long-term strategy for how AI Products drive our scientific impact ambitions. Participate in and encourage Agile software development practices to deliver frequent value to our users and enable continuous feedback loops.

Set the technical direction, guide the team’s technical decisions, and ensure that best practices are consistently followed. Ensure high quality in the work we deliver and serve as a hands-on manager to the team. Provide mentorship and career development support to direct reports.

Hire and onboard engineers to fill resource gaps while building out a diverse team. What You'll Bring 8+ years of experience in Software Engineering, including 4+ years of engineering leadership as a people manager. Proven track of building and delivering high-impact products on top of AI models in complex, data-driven domains.