| Location | San Francisco Bay Area, CA |
Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
What you'll do
Own GPU and compute economics
Engage and maintain relationships post-deal close, leading delivery of strategic, co-owned initiatives (e.g., co-marketing, case studies, presence at events/conferences, etc.
Become one of the most knowledgeable people in the world on the GPU and AI-compute market: pricing, supply, contract structures, who is building what and at what cost. Through research, and through showing up in person.
Source, structure and negotiate compute and infrastructure agreements - capacity commitments, long-term supply, colocation, energy-linked deals.
Build the cost models that say whether a deal is good, and challenge the ones that say it is.
Build and challenge the financial picture
Build and stress-test P&L and FP&A models at company level.
Own forecasting for the largest line in our cost base.
Work directly with the CEO and the co-founders on the development strategy and financial planning.
Shape major strategic deals
Model the economics of large partnerships and identify where the value actually sits.
Translate commercial decisions into a financial story leadership, the board and investors can act on.
Requirements
McKinsey / BCG / Bain-type background, or equivalent depth from corporate finance, investment banking, infrastructure PE, or a strategic-finance role at a fast-scaling company. Consulting alumni at Engagement Manager / Principal level and above.
You can build a three-statement model, an FP&A forecast and a deal case yourself - and find the error in someone else's.
You understand the economics of large strategic deals: capacity, offtake, TCO, capex versus opex, contract structure.
At least 3 years working in international markets - at a global company, or in a role where you owned deals or operations across multiple countries.
Able to become a genuine domain expert fast, from a standing start, on something technical.
Heavy international travel. The GPU market is a relationship market and it does not happen online.
Fluent English and Russian.
Nice to have
A technical or quantitative undergraduate degree - engineering, physics, applied maths, CS - underneath the commercial track.
Procurement, supply-chain or capacity-planning exposure at real scale.
Time at a cloud, GPU, data centre, semiconductor or energy company, including on the commercial side.
You've already made the jump from consulting or banking into an operating role at a startup.
What we offer
Competitive base salary in USD, based on your experience, skills, and the scope of the role.
Equity participation through the company's stock option program, giving you the opportunity to share in Higgsfield's long-term growth.
Relocation support for candidates moving from another city or country.
A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
Opportunities for professional growth, ownership, and career development as the company scales.
Company-provided equipment, meals, transportation, and other office benefits.
Location: Almaty or San Francisco (onsite), with heavy international travel and regular trips to the other hub. Our team works from the office six days per week. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.
Also hiring: GM, International Partnerships - same seniority, focused on enterprise B2B partnerships and commercial execution across verticals. If your background is commercial rather than analytical, apply there instead.