Account Executive, Financial Technology
About the role
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 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 Location: New York, NY (in-office, 4+ days/week) Reports to: Chief Revenue Officer (transitioning to Vertical GM, Trading & Financial Services in 2026 Travel: 25–35%, primarily domestic; periodic Greenwich, Boston, Charlotte, and London
Compensation: Competitive base + uncapped commission; equity participation (Build Fundamental's footprint inside the most software-intensive and data-intensive buyer set in the world.) The Opportunity This role is for someone who has spent meaningful time selling data, analytics, or AI infrastructure into financial services and who understands the difference between selling to a tier-1 prop trading firm and selling to a regional bank. You will own a named-account list spanning systematic and quant managers, capital markets technology firms, asset managers, specialty insurers, and modern fintech infrastructure companies. You will partner with our forward-deployed engineering team to land first deployments and expand them into platform commitments.
What You'll Own A named-account list of 15–20 financial technology and financial services accounts spanning quant funds, prop trading firms, asset managers, specialty insurers, capital markets infrastructure, and fintech. Full-cycle ownership from first meeting through contract close, expansion, and renewal. Executive relationship development at the CTO, Head of Research, Chief Data Officer, and Head of Quantitative Research levels. Pipeline generation through advisor introductions, investor warm paths, AWS Marketplace co-sell motions, and direct outbound to a buyer set that does not respond to standard SDR cadence. Deal architecture across multiple commercial models: platform subscriptions, seat-based research licenses (especially for quant fund research teams), enterprise platform commitments, and the emerging trading-vertical SKUs. A strong working relationship with our applied AI engineering team, who scope and run technical evaluations and bake-offs against incumbent in-house tools.
