Originally posted 6 October 2026 by the employer.
About the role
As Strategic Finance & Compute Lead, you will help define and execute Ricursive's compute, partnership, and go-to-market strategy. You will lead compute strategy to secure infrastructure for model training, chip-design workloads, and customer programs, while structuring large-scale AI infrastructure and custom silicon partnerships.
What you'll do
- Define near- and long-term compute strategy across model training, chip-design workloads, and customer programs. - Build relationships with cloud platforms, GPU providers, data-center operators, and hardware companies to source and close compute capacity transactions. - Partner with technical teams to translate requirements for compute, networking, storage, deployment timing, and reliability into commercial agreements. - Structure and negotiate multiyear partnerships for AI infrastructure and custom silicon involving development funding, capacity commitments, licensing, and strategic investment. - Build and pressure-test financial models for capital-intensive infrastructure and silicon programs to shape pricing, packaging, and commercial terms. - Lead commercial negotiations with senior executives, corporate development teams, investors, and strategic partners.
What you'll need
- 3-6+ years of experience in strategic finance, investment banking, private equity, infrastructure investing, corporate development, or a related principal role. - Experience structuring and executing complex, high-value commercial, financing, infrastructure, or technology transactions. - Strong financial modeling skills and the ability to evaluate long-term economics, capital requirements, risk, and return across complex agreements. - Demonstrated ability to translate technical or operational programs into clear commercial and financial structures. - Strong commercial judgment, negotiation skills, and executive-level communication. - Interest in AI infrastructure, semiconductor design, and the evolving economics of frontier technology.
Nice to have
- Experience with AI compute, cloud infrastructure, data centers, semiconductors, or other capital-intensive technology sectors. - Direct experience negotiating compute-capacity, infrastructure, custom silicon, or multiyear technology-development agreements. - Familiarity with the technical and financial requirements of large-scale GPU infrastructure. - Experience developing new pricing models, partnership structures, or go-to-market strategies for emerging technology categories. - Track record of building relationships with senior executives, investors, financial institutions, and technically sophisticated counterparties.