This is a key role as we build out our Product team from the ground up. You’ll be building a novel experience for data science practitioners when building predictions with NEXUS at the core. Owning the product that enables them to run their workflows end to end with NEXUS. You’ll build AI agents and data science tools used by data scientists in a self-serve workflow.

Working closely with engineering, Applied AI (FDEs), Product design teams and Research, you’ll contribute to shape the product layer on top of NEXUS. You'll learn from customer discovery and turn those insights into a roadmap that makes data scientists more effective.

Own and lead the roadmap and product decisions for our data science products, from customer discovery through product definition, launch and iteration.

Work directly with data scientists to understand their needs and usage patterns

Shape how our AI agents and data science tools work across our platform layer, making common workflows intuitive while preserving the flexibility technical users need.

Define how users guide agents, inspect their work and understand results, balancing automation with transparency and control.

MLOps: own the workflows customers use to manage and monitor predictive quality of their models in production

Turn NEXUS capabilities into coherent experiences for your users, with clear product requirements and practical tradeoffs.

Define success measures for usability, adoption and customer outcomes; use data, feedback and product evidence to guide priorities.

Product Manager - Data Science

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Fundamental

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