# General Manager, Strategic Partnerships at Higgsfield AI

Higgsfield AI is hiring a General Manager, Strategic Partnerships in Almaty, Kazakhstan. Level rates it Works on AI ●●●○; you can [apply on Higgsfield AI](https://jobsbylevel.com/go/1bde5433-759d-41a5-8c7d-b61e1ed0481b?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Almaty, Kazakhstan.

## Details

- Company: [Higgsfield AI](https://jobsbylevel.com/companies/higgsfield-ai)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Almaty, Kazakhstan
- Posted: September 9, 2026
- Apply: https://jobsbylevel.com/go/1bde5433-759d-41a5-8c7d-b61e1ed0481b?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=general-manager-strategic-partnerships-at-higgsfield-ai-5d5098

## Prepare for this job

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## Description

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. Why this role exists A very large share of Higgsfield’s capital goes into compute. GPU procurement, deal economics, the financial planning around it — today that entire function effectively sits on one person’s desk. We’re not hiring someone to explain the business to the board. We’re hiring someone to drive $100M+ strategic deals end to end: find them, model them, negotiate them, close them, and own what happens after. The financial work matters because it’s how you win a deal and how you know it was worth winning — not because someone needs a deck. This is the largest line in our cost base and the surface area is enormous, so you’re in company-level decisions from week one. What the role demands is energy and complete ownership. Nobody hands you a process, a pipeline or a mandate here. You take them. 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. Coming from the compute side instead? If you’ve bought or sold GPU capacity at a cloud, neocloud, data centre or hardware company and you can hold your own on the numbers, this is your role too. We care that you know the market and can move a

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