About the job
The Director of Product, Ecosystem owns the external view of one or more Nebius platform layers. You will map who matters, engage the targets that count, prototype what a partnership actually looks like on our stack, and translate everything you learn into new platform capabilities and product decisions.
Responsibilities
Own the ecosystem map for your platform layer — who matters, what they build, where the gaps are relative to our platform strategy
Define which companies to engage and why — a prioritized target list with a thesis behind every name
Translate external landscape signals into concrete build vs. buy vs. partner recommendations for product and exec leadership
Lead outbound engagement with founders, operators, and investors across your ecosystem domain
Build peer-level relationships in the AI startup founders — the kind where people call you before they announce anything
Identity partnership, integration, and M&A targets before they are obvious to the market
Prototype integrations between partner products and the Nebius stack — fast, hands-on, and technically sound
Scope partner architectures against our platform — how does this product actually work on our stack, where does it snap together, where does it break
Define the technical narrative and reference architecture for each partnership
Produce working proof-of-concepts that serve as the starting point for product creation — not a requirements doc, a working thing
Work with ISV partners, SI teams, and field teams to scale solution adoption and drive revenue once a solution is ready
This entire motion — inception, experimentation, prototyping — serves as a pipeline for new platform capabilities and product development
Bring outside-in frontier signal into the company and help leadership make the right choices on where to invest
Participate in platform planning as the external voice of the ecosystem
Qualifications
Minimum
8+ years operating across product strategy, business development, and ecosystem or partnership development in AI or infrastructure
Deep technical fluency in at least one of our platform layer domains — you understand the architecture, the players, and the dynamics from having been close to the work, not just reading about it
Genuine relationships in the AI founders and VCs — people take your call because of who you are, not what company you are calling from
Experience as a founder, early operator, or investor in AI or infrastructure — you understand how startups make decisions and what they actually need from a platform partner
Comfort going hands-on — you can prototype an integration, scope a partner's architecture, and produce a working proof-of-concept without waiting for an engineer to do it for you
Strong written and verbal communication — you can present a partnership thesis to a VP of Product and a Series A founder in the same week and be credible in both rooms
Comfortable building without a playbook — you create the process, you do not wait for it
Preferred
Founded or been an early operator at a company building in one of our platform layer domains
Operated as an EIR or investing partner at a top-tier AI-focused VC fund
Built an ecosystem or platform partnership function from scratch at a high-growth AI or infrastructure company
Structured and closed technology partnerships through to LOI or acquisition
Familiarity with NVIDIA's software stack, inference tooling, or agent development frameworks