Product Manager - Data Science

Role overview

Build products that help data scientists use predictive AI models in end-to-end workflows. The role owns product direction for data science tools and AI agents, turning customer research and model capabilities into self-serve experiences that balance useful automation with transparency and user control.

Responsibilities

- Own the roadmap and product decisions from customer discovery through definition, launch, and iteration. - Work directly with data scientists to understand their workflows, needs, and usage patterns. - Shape AI agents and data science tools so common tasks are intuitive while technical users retain flexibility. - Design ways for users to guide agents, inspect their work, and understand results. - Own workflows for managing models in production and monitoring their predictive quality. - Translate model capabilities into clear product requirements and practical tradeoffs. - Define measures for usability, adoption, and customer outcomes, and use product evidence to set priorities.

Requirements

- At least 4 years owning and shipping machine learning or data science products with an engineering team, from discovery through iteration. - At least 2 years of hands-on data science experience, with a solid understanding of classification, regression, and time series analysis. - Experience with structured or tabular data and predictive machine learning workflows. - Experience building AI agent products and understanding how their limitations affect user trust and control. - Strong customer discovery skills and the ability to turn ambiguous needs into deliverable product scope. - Technical fluency and effective collaboration with engineers and applied data scientists. - Evidence-based approach to prioritization, using user feedback, usage data, and evaluation results.

Nice to have

- Experience in client-facing data science followed by product ownership. - Experience building data science tools for applied AI or customer-facing technical teams. - Early-stage AI company experience or exposure to enterprise customers and forward-deployed teams.

Benefits and work setup

- Compensation includes salary and equity, with health coverage for employees and dependents. - Paid parental leave and relocation support for employees moving to an office location. - A high-trust culture that values initiative, diverse perspectives, and respect for personal boundaries and working styles.