Domino is helping the world run on models. Data Science teams at model-driven companies use our platform to accelerate breakthrough research, increase collaboration, and rapidly deliver high-impact models. Our customers are sophisticated analytical organizations who use Domino to develop new medicines, increase crop yields, fight child trafficking and more. Backed by Sequoia Capital and other leading investors, we are well capitalized and now growing our business in response to tremendous market demand and product-market fit.
As an Engineering Manager at Domino, you’ll build and lead a team of 5-10 engineers to own the implementation and delivery of a core part of our platform. Working closely with your direct reports, product managers, designers, QA engineers, and other engineering teams, you’ll need to integrate your talents for people, process, and technology to deliver high-quality software that helps us realize our vision. We value transparency, high focus on customers and a sense of urgency to do everything it takes to build a stable, refined product.
Grow and develop a team of hardworking and motivated engineers with high expectations for impact and ownership
Help craft technical and product strategy including defining technical architecture
Drive all aspects of software development, from definition & design, through development & testing and eventual release
Ensure your team develops high quality code and extraordinary output
Partner closely with product management to ensure delivery against the product roadmap
Minimum of 3 years of people management experience with an engineering team
Prior experience as a software developer
Work experience in enterprise software
Bachelor’s degree in Computer Science or a related technical field involving coding or equivalent technical experience
About Domino Data Lab
Domino was founded by three veterans of the finance industry, to help leading organizations develop better medicines, grow more productive crops, build better cars, or simply recommend the best song to play next. Our mission is to help data scientists across industries develop and deploy ideas faster with collaborative, reusable, reproducible analysis.