---
title: 'Founding Product Designer at Fundamental'
canonical: 'https://feeny.ai/job/founding-product-designer-fundamental-europe-9yty4fn0a82r'
type: 'job'
last_seen: '2026-11-04'
---

# Founding Product Designer at Fundamental

- **Company:** Fundamental
- **Location:** Europe
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-04
- **Apply:** https://jobs.ashbyhq.com/fundamental/ad9867af-3236-479c-a73e-da1fe1f179db

## 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

We’re looking for our Founding Product Designer to establish product design at Fundamental and shape how people experience our products. You’ll own the design system at the heart of our platform and lead the UX and UI of our platform and agentic products. This is a hands-on role with significant ownership and impact. You’ll work closely with Product and Engineering, from defining user problems and exploring concepts through detailed design and implementation.

## What you'll do

Establish product design at Fundamental:

- Define the principles, processes, and standards that guide product design across the company.
- Bring design into product discovery and help shape product direction from the earliest stages.
- Build a deep understanding of our users through research, usability testing, product usage, and direct conversations.
- Partner closely with Product and Engineering to identify user needs and turn them into clear product experiences.

Build and evolve our AI-native design system:

- Build and maintain an AI-native design system, including UI kits, interaction patterns, prompt and response patterns, agent behaviors, and style guides used across our platform and products.
- Establish reusable components, standards, and workflows that create a consistent, intuitive experience across product surfaces and AI-powered interactions.
- Ensure the design system follows brand guidelines while translating them effectively across interfaces, intelligent behaviors, and emerging AI-native experiences.
- Work closely with engineers and AI teams through implementation to preserve design intent, usability, accessibility, and quality.
- Evolve the design system as our products, technical capabilities, AI workflows, and user needs develop.

Shape our platform and product experiences:

- Lead design across the complete product lifecycle for predictive AI/ML and generative AI workflows.
- Design end-to-end experiences across our platform and agentic products.
- Define how users guide agents, understand their progress, review their work, provide input, and remain in control.
- Turn complex AI and data-science workflows into clear, intuitive experiences.
- Explore concepts, create prototypes, test them with users, and translate validated ideas into detailed designs.
- Balance user needs with technical feasibility, product performance, and business priorities.

## What you’ll bring

- 7+ years of experience designing technical products, including complex enterprise B2B software, with a strong background in technical web applications, enterprise platforms, or developer tools.
- At least 1–2 years of experience designing human-in-the-loop agentic experiences, including products and workflows spanning CLI, API, and graphical interfaces.
- AI and ML domain expertise: A strong practical understanding of AI and ML workflows, their users, and the challenges of making these systems understandable and controllable.
- Problem-solving ability: A track record of addressing complex design challenges while balancing usability, technical feasibility, and performance.
- Research skills: Experience conducting user interviews, usability testing, and product discovery with technical users.
- Collaboration and leadership: The ability to shape design strategy, influence product decisions, and collaborate effectively with Product and Engineering.
- Comfort with ambiguity: The judgment and autonomy to identify user needs, frame unclear problems, and move from early exploration to shipped experiences.
- A portfolio demonstrating strong interaction design, systems thinking, visual execution, and measurable product impact.

What will make you stand out

- AI-enabled design practice: You use AI tools for exploration, prototyping, content, or code assistance, improving speed, quality, and team workflows.
- Code-first workflows: You’ve designed for products spanning agents, CLI, API, and UI, including developer tools, documentation, system feedback, and transitions between surfaces.
- Experience designing cohesive experiences across code and graphical interfaces.
- Experience mentoring designers or strengthening product-design practices.

## 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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