Python Programming, Aartificial intelligence, Machine learning techniques, R Programming, MLflow, MLOps tools, Experimentation
At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models. Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.
What we are building
The Data Science Portfolio team is responsible for enabling Domino’s users to train, deploy, monitor and manage machine learning models, using Domino DataLab to accelerate the data science lifecycle in every cloud and on-premise to meet the most demanding needs of our large scale enterprise customers.
What your impact will be
As a senior product manager at Domino, you will lead the teams focusing on development and training. The develop team focuses on use cases around the early stages of data science including exploratory development, collaboration, and project creations. The train team covers use cases in later stages of the data science life cycle including training scale (incl distributed compute), managing training experiments, and setting up pipelines. You’ll shape the products and features that will define how data science is utilized in virtually every industry in the world. This is a critical role that bridges technical and business worlds to design world-class products that delight customers. You'll work closely with customers and collaborate with cross-functional teams to guide products from conception through launch and adoption.
In your first year, your impact will be
What we look for in this role
What we value
Domino powers model-driven business for the world’s most advanced enterprises, including over 20% of the Fortune 100. Our Enterprise MLOps platform speeds up the development and deployment of data science work while increasing collaboration and governance, to scale data science into a competitive advantage.