---
title: 'Product Manager - Data Science at Fundamental'
canonical: 'https://feeny.ai/job/product-manager-data-science-fundamental-united-states-7j88jnr25fyz'
type: 'job'
last_seen: '2026-11-04'
---

# Product Manager - Data Science at Fundamental

- **Company:** Fundamental
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-21
- **Last confirmed live:** 2026-11-04
- **Apply:** https://jobs.ashbyhq.com/fundamental/c6e4a9a3-9f9c-4089-ad4b-9f82e9af2e28

## Job description

## About Fundamental

Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

## About the role

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.](http://NEXUS.You) 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.

Must have experience

- 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

## About Fundamental

## Company Overview
- **One-liner**: Fundamental builds foundation models purpose‑designed for tabular data, enabling enterprises and governments to make accurate predictions and confident decisions.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Jeremy Fraenkel (CEO), Gabriel Suissa (Co‑Founder); built by DeepMind alumni

## Core Business
- Primary industry: Artificial intelligence / Enterprise AI (Large Tabular Models)
- Target customers: Large enterprises and government agencies (Fortune 100 clients)
- Mission: “To create a world of abundance by giving humanity the Power to Predict.”

## Products & Services
- **[NEXUS – Large Tabular Model (LTM)]**: A deterministic foundation model pre‑trained on billions of tables to ingest structured data (rows/columns) and capture complex, non‑linear feature interactions. Deployable with one line of code, integrates deeply with AWS, and designed for enterprise‑grade privacy and security. Unlike LLMs, NEXUS can reason over extremely large datasets (billions of rows) and provides consistent answers every time.

## Market Standing
- **Valuation/Market Cap**: $1.4 billion post‑money (as of February 2026)
- **Key Metric**: Total funding raised – $255 million (Series A: $225M led by Oak HC/FT, Valor Equity Partners, Battery Ventures, Salesforce Ventures; Angel round: $30M from investors including Perplexity CEO Aravind Srinivas, Brex co‑founder Henrique Dubugras, Datadog CEO Olivier Pomel)
- **Notable Investors/Partners**: Oak HC/FT, Valor Equity Partners, Battery Ventures, Salesforce Ventures, Hetz Ventures; strategic partnership with Amazon Web Services (AWS)
- **Growth Signals**: Emerged from stealth in February 2026 with seven‑figure contracts from Fortune 100 clients; headcount grew from founding to 46 employees with +28% monthly growth; operates globally (San Francisco, Barcelona, Israel, UK, etc.)

## Competitive Advantages
- **Deterministic & scalable**: Unlike transformer‑based LLMs, NEXUS is deterministic and can analyze tables with billions of rows without context‑window limitations.
- **Purpose‑built for tabular data**: Captures non‑linear feature interactions that LLMs miss, unlocking trillions of dollars in value from structured data.
- **Research‑led with academic rigor**: Team includes DeepMind alumni; model built on a non‑transformer architecture designed specifically for real‑world tabular data.
- **One model, many use cases**: Replaces armies of data scientists with a single foundation model that works across industries (finance, healthcare, energy, etc.).

## Strategic Focus
- **Expansion**: Deepening the AWS integration and scaling NEXUS across more Fortune 500/global government clients.
- **Talent acquisition**: Hiring across research (Barcelona), engineering (Europe, SF), and commercial roles (SF, Houston) to accelerate model development and go‑to‑market.
- **Category creation**: Pioneering the “Large Tabular Model” (LTM) category to differentiate from LLM companies and establish leadership in predictive AI for structured data.

## Why Work Here
- **Solve hard problems**: Work on groundbreaking research and engineering for a new modality of AI (tabular data) that most labs ignore.
- **Exceptional team**: Collaborate with DeepMind alumni and top researchers from Cohere, AI21 Labs, Google DeepMind, Mistral AI, and others.
- **Global and flexible**: Hubs in San Francisco (HQ), Barcelona (research), and remote‑friendly roles across Europe and the US.
- **Rapid growth**: Joining a well‑funded, high‑valuation startup at Series A stage with real revenue and Fortune 100 customers—clear trajectory.
- **Mission‑driven**: “Power to Predict” aims to transform decision‑making in enterprises and governments, offering tangible societal impact.
- **Culture**: Described as rigorous, ambitious, and supportive of deep research and patient engineering.

## Sources
1. [fundamental.tech](https://fundamental.tech/)
2. [fundamental.tech/company](https://fundamental.tech/company)
3. [fundamental.tech/careers](https://fundamental.tech/careers)
4. [TechCrunch - Funding announcement](https://techcrunch.com/2026/02/05/fundamental-raises-255-million-series-a-with-a-new-take-on-big-data-analysis/)
5. [LinkedIn Company Page](https://www.linkedin.com/company/fundamentalhq)

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