Senior Product Manager - Data Science

Descartes Labs, Santa Fe, NM or San Francisco, CA or Denver, Co

A data refinery, built to understand our planet

Are you passionate about solving hard problems? Do you want to be at the forefront of helping businesses transform to become sustainable and more efficient? 

Descartes Labs is at the forefront of helping the world’s largest and most innovative businesses build geospatial AI-at-scale within their organizations. We’ve already solved many of the toughest geospatial and data scaling problems. We’re now taking things to the next level by empowering data science teams to more quickly, productively, and effectively build models using our platform and data.

You will be the product owner for empowering data scientists using the Descartes Labs platform and data refinery. This role requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

What should the data science experience look like 2 years from now for a platform that runs AI/ML workloads for the largest enterprises globally and at scale? We’re waiting for you to come join and tell us.


  • Product Management experience (inbound, outbound, cross-functional processes)
  • Customer conversations, product definition, success metrics, prioritize features, guide engineering and design work to deliver a polished market-ready product
  • Drive roadmap, positioning, and pricing for your features
  • Ship features (early adopter program, release planning, marketing)
  • Work with Product Marketing Managers on product/feature launches: blog posts, release notes, webinars
  • Measure impact: track and report usage
  • Collect & summarize usage data/dashboards for solutions and OKR tracking
  • Own cross-functional interactions for your features (across eng/marketing/field/sales)


  • 2- 5 years experience in product management
  • Preferred experience as a data scientist with at least some experience managing a team of data scientists
  • Demonstrated leadership on improving the processes, tools, and outcomes around data science projects
  • Strong understanding of how data science projects are impactful and are valued by business stakeholders

Additional Desired Experience

  •  Geospatial, remote sensing, and/or computer vision data science experience
  • Experience in agriculture, oil & gas, transportation, climate/environmental, insurance, sustainability and/or mining industries
  • Experience interfacing at C(x)O level to drive business outcomes
Location in Santa Fe, Denver or San Francisco

About Descartes Labs

Data will be the great enabler of new technologies, new products, and new businesses of our generation. Descartes Labs is building a data-refinery on a cloud-based supercomputer for the application of machine intelligence to massive data sets. By teaching computers to see, we create the infrastructure and services needed to model — and predict changes in — resources and the entire value chains in which they live. We enable businesses to better apply insights from data - both their own and external sources - across sectors ranging from energy and agriculture to large scale industrial and government. Our mission is to better understand the planet, for good and for profit, so our team of applied scientists also does impact science work around natural disasters, the spread of disease, and food security. Today, Descartes Labs is using its data refinery for satellite imagery. We currently process images from the major NASA and ESA satellite constellations at scale, creating a digital data twin of the entire planet that monitors the whole earth, in near real-time. We are headquartered in Santa Fe, New Mexico, and have offices in New York, San Francisco, Washington D.C., and Los Alamos, New Mexico.

Descartes Labs

Want to learn more about Descartes Labs? Visit Descartes Labs's website.