# AI Deployment Strategist - Houston at Fundamental

- Company: Fundamental
- What the company does: Built by Fundamental, a frontier AI research lab, NEXUS is the Large Tabular Model reimagining enterprise decision-making. Backed by Battery.
- Company website: https://fundamental.tech/
- Type: Startups (AI role)
- Level: Mid level
- Location: Houston, Texas, United States
- Work setup: On-site
- Posted: 2026-09-16
- Apply by: 2026-10-31
- Apply: https://jobs.ashbyhq.com/fundamental/7473af06-d443-4a57-b1df-5f60cc25423a
- Page: https://www.1752.vc/careers/jobs/fundamental-ai-deployment-strategist-houston/

## About the role

Own the account AI strategy: build and maintain a multi-year roadmap of NEXUS use cases across the customer's business units, prioritized by business value, feasibility, and executive appetite Drive expansion: identify, qualify, and shape new opportunities inside the account, from first conversation through business case, budget, and commercial agreement, working hand in hand with Sales and Fundamental's leadership team

## What they're looking for

- Bachelor's or Master's degree in Business, Economics, Finance, Engineering, or a related field, MBA or equivalent is a plus
- Working knowledge of how an oil and gas company runs: upstream and midstream operations, capital allocation and portfolio planning, production and cost forecasting, commodity markets, and the organizational structure of a major or large independent
- Track record of expanding an engagement or account: turning a single project into a broader program by finding new problems, building the business case, and securing executive sponsorship and budget
- Executive presence and structured communication: comfortable leading a room of senior leaders, writing a crisp one-page recommendation, and defending a value model line by line
- Strong commercial and financial acumen: able to build a business case, model ROI, and navigate enterprise procurement and budget cycles
- Enough technical fluency to be credible with data and ML teams: you understand what a prediction problem is, what data it needs, and how to judge whether a use case is feasible, even if you don't write the code

Tags: Commercial