Fundamental - Product Manager - Data Science
Requirements
• 4+ years of experience owning and shipping ML or data science products with an engineering team, from discovery and roadmap decisions through delivery and iteration. • 2+ years hands-on expertise in data science, demonstrating a solid grasp of core workflows including classification, regression, and time series analysis. • Working with structured or tabular data and predictive ML workflows. • Experience building agentic products, with practical understanding of their limitations and the interaction patterns that help users trust and control them. • Strong customer discovery skills: you can uncover the problem behind a request, test assumptions and translate what you learn into product decisions. • Technical fluency and strong collaboration with engineers and applied data scientists, with the ability to turn ambiguity into a clear, deliverable scope. • Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone • Earlier experience in client-facing data science, followed by ownership of a product developed with an engineering team. • Building internal data science tools for Applied AI, solutions teams or other technical customer-facing teams. • Working in an early-stage AI company, with direct exposure to enterprise customers or a forward-deployed motion.
Responsibilities
• 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.
Benefits
• Competitive compensation with salary and equity • Comprehensive health coverage for you and your dependents • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys • Relocation support for employees moving to join the team in one of our office locations • A high-trust, low-ego culture that values diversity of thought, ownership and initiative, with respect for personal boundaries and working styles
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