DIrector of Product, Ecosystem

The role

Nebius builds the infrastructure serious AI teams run on — GPU clusters, inference runtimes, agent development environments, data pipelines — all of it purpose-built for the most demanding AI workloads. What we are now building is the ecosystem function that ensures the best AI companies choose to build on us, integrate with us, and stay.

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.

You’re welcome to work remotely in the United States.

Your responsibilities will include:

Strategy

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

Sourcing

Lead outbound engagement with founders, operators, and investors across your ecosystem domain

Build peer-level relationships with AI startup founders — the kind where people call you before they announce anything

Identify partnership, integration, and M&A targets before they are obvious to the market

Solutioning

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 proofs-of-concept that serve as the starting point for product creation — not a requirements doc, a working thing

Internal

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

Platform focus areas

Depending on your background and mutual fit, you will own one or more of the following:

Agentic — agent frameworks, memory systems, tool integration, orchestration, guardrails

Managed Inference — inference runtimes, model routing, optimization tooling, serving infrastructure

IaaS / Managed Infrastructure — cloud-native integrations, GPU orchestration, sovereign cloud, enterprise infrastructure

Data — vector databases, retrieval systems, data pipelines, labeling infrastructure, synthetic data

We expect you to have:

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 with 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

It will be an added bonus if you have:

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

Key Employee Benefits:

Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.

401(k) Plan: Up to 4% company match with immediate vesting.

Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.

Remote Work Reimbursement: Up to $85/month for mobile and internet.

Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Pay Transparency

We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.

Base Compensation Range

$228,000—$285,000 USD