Product Manager - Data Science
Fundamental · US (remote)
Frontier labremote
At a glance
Highlights
- Build AI agents and data science tools on top of NEXUS LTM.
- Own end-to-end prediction workflows for data scientists at scale.
- Shape the product layer trusted by Fortune 100 companies.
What they offer
- 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
Ideal candidate
A product-minded former data scientist who loves customer discovery and turning ambiguous enterprise needs into intuitive agentic workflows. You thrive in early-stage AI teams partnering closely with research and engineering.
Requirements
- 4+ years owning and shipping ML or data science products from discovery through delivery and iteration
- 2+ years hands-on data science expertise including classification, regression, and time series analysis
- Experience with structured/tabular data and predictive ML workflows
- Experience building agentic products with understanding of trust and control patterns
- Strong customer discovery skills translating insights into product decisions
- Technical fluency and collaboration with engineers and applied data scientists
- Data-driven prioritization grounded in usage data, evals, and user evidence
Lab profile
About Fundamental
AI research lab building NEXUS, a large tabular model for enterprise decision-making and prediction.
What they build
- NEXUS Large Tabular Model (LTM)
Known for
- Enterprise decision-making AI
- Large Tabular Models for structured records
- Trusted by Fortune 100 companies
Key facts
- $275m in funding from leading investors
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