Director of Engineering, AI Products

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health. The Team Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health. The Opportunity 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. As Director of Engineering for the AI Products group, you will lead a world-class team of passionate engineers building transformative tools at the intersection of AI and biology. Your work will power the next generation of products that accelerate the analysis and interpretation of complex biological data using cutting-edge foundation models. You’ll tackle ambitious technical challenges — from scaling model inference to production-grade performance, to designing intuitive systems for exploring multi-dimensional, high-resolution cellular imagery and video. You’ll also help architect platforms capable of processing and visualizing protein datasets at unprecedented scale, spanning more than a billion proteins. 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 10+ years of experience in Software Engineering, including 5+ years of engineering leadership as a people manager. Proven track record of architecting, delivering, and operating petabyte-scale data platforms across hybrid on-premises and cloud environments, enabling model training on rapidly evolving data modalities. Deep technical expertise with the ability to translate complex theory into practical, scalable solutions—driving research, rigorous analysis, clear conclusions, and decisive execution. Extensive experience hiring, managing, and developing high-performing engineering teams while cultivating a culture of excellence, ownership, and impact. Strong cross-functional collaborator, partnering with interd ... (truncated, view full listing at source)