Chief Product Officer - AI Infrastructure company (within 3 hrs of CET)

Granite, a Bifrost portfolio company, is in stealth.

We are a team of exited founders with ten years of R&D in cloud infrastructure and agentic AI, building purpose-built agentic cloud infrastructure for Europe from the compute layer up.

Granite is backed by Bifrost Studios and external investors, with a €4M seed round closed earlier this year. First deployments are live and we are now building out the commercial motion.

This is a chance to own the product of a full-stack AI infrastructure platform from a near-blank sheet. The technology is real and already deployable, and the opportunity now is to shape it into a product: defining what Granite sells, how it is packaged and priced, and what gets built next. You will own the full product and technology scope, keep the build-and-sell motion aligned as the company deploys and grows, and eventually build the team to run it. It is a C-level mandate with direct founding-team influence, reporting to the CEO, with the room to define offerings, pricing, and roadmap rather than run a mature function inside an established hierarchy.

• Own the full product scope: define what Granite sells, how it is packaged and priced, and what gets built next
• Take technical ownership of the platform across compute, data layer, agent runtime, and model serving, and form a clear view on product gaps and deployment priorities
• Map offerings and pricing to customer segments and ship the first defined, sellable productBuild the compliance layer into the regulated offering and sequence the roadmap against real demand
• Keep the build-and-sell motion aligned as the company deploys and grows
• Make the company's first product and engineering hires, and build the function to run the roadmap at scale
• Represent the product externally to technical and enterprise buyers

• A senior product and technology leader from cloud infrastructure, AI platforms, or developer tooling who has owned both product and engineering
• Has defined a technical product from 0 to 1, not only run a mature one, and has priced and packaged infrastructure or AI products for enterprise buyers
• Has owned a product and technology roadmap and shipped against it
• Has made architecture calls in AI infrastructure, across areas such as model serving, agent runtimes, retrieval-augmented generation, and vector search
• Can absorb deep technical context fast, form opinions, and take ownership of a complex platform quickly
• Has built and led a product and engineering function: hired, set decision rights across disciplines, and represented the product to technical buyers
• Comfortable defining offerings for a product with no existing playbook, and fluent in the sovereign and compliance narrative (DORA, NIS2, the EU AI Act, GDPR) is a strong plus