Product Manager

About Fundamental

Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.

At Fundamental, you'll bridge the gap between research and reality by helping some of the world’s largest companies realize the transformational potential of NEXUS. 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 a Product Manager to shape how customers interact with our platform. You'll own the product roadmap for expanding user interactions, data connectivity, and use cases, translating cutting-edge ML research into capabilities that solve real business problems.
This role sits at the intersection of Engineering, Research, Forward Deployment Engineering, and our customers. You'll define what we build, why we build it, and ensure we're delivering meaningful value to enterprises navigating complex data challenges.

Key Responsibilities

Own the product vision and roadmap for platform capabilities, including new interaction paradigms, data source integrations, and enterprise use cases

Partner with Research and Engineering to translate model capabilities into product features, define requirements, and ship iteratively

Collaborate with Forward Deployment Engineers to understand customer needs firsthand and feed insights back into product strategy

Engage directly with customers to validate problems, gather feedback, and build conviction around what to build next

Define success metrics and use data to inform product decisions

Navigate the unique challenges of productizing ML/AI capabilities for enterprise environments

Required Qualifications

7+ years of experience in product management, with a strong track record in ML/AI or data-intensive products

Technical background - you can read code, review PRs, and have informed architectural discussions with engineers

Deep understanding of machine learning concepts, data pipelines, and the end-to-end ML lifecycle (training, evaluation, deployment, monitoring)

Experience with enterprise software and understanding of how large organizations evaluate and adopt AI/ML solutions

Experience at high-growth startups or building 0-to-1 products

Demonstrated ability to translate complex technical capabilities into product strategy and clear requirements

Strong stakeholder management - you can navigate competing priorities across Research, Engineering, and customer-facing teams

Excellent communication skills with the ability to context-switch between technical deep-dives and executive conversations

Benefits

Medical, dental, and vision insurance

Company-provided equipment

Wellbeing, learning, and home office stipends

A mission-driven culture that values diversity of thought, humility, and bias toward action