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

Sorry, this job was removed at 08:14 a.m. (UTC) on Friday, Jul 03, 2026
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Hiring Remotely in Copenhagen, Capital, DNK
Remote or Hybrid
Angel or VC Firm • Artificial Intelligence • Edtech • Consulting
The Role
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.
Tasks
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
Requirements
* 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
Benefits
This is a C-level opportunity to own the product and technology strategy of a European sovereign AI platform from the ground up, with founding-team influence and a direct line to the CEO. The role grows with the company toward full ownership of the product and engineering organisation.
* Competitive compensation and meaningful equity
* Fully remote across Europe
If this sounds like the right next move, send us a short note on why this role and we will take it from there. No cover letter needed.
1. Introductory call
2. Case conversation
3. Founder team interview
4. Offer

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The Company
39 Employees

What We Do

Bifrost Studios is a venture studio that builds and buys profitable companies through a novel startup studio model in partnership with exceptional entrepreneurs. The company focuses on bridging leadership gaps in AI transformation by developing a premium, practitioner-led AI upskilling product specifically designed for senior non-technical executives, aiming to provide the frameworks necessary for effective AI governance and spend.

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