[Hiring] Product Manager - Data Science @Fundamental

Role Description

You’ll be building a novel experience for data science practitioners when building predictions with NEXUS at the core.

• You’ll own 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.

What you’ll do:

• 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.

Qualifications

• 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.

Nice to have experience

• 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.

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.