Director of Product, Ecosystem

Details

Nebius is building a full-stack AI cloud platform for developers and enterprises, covering data and model training through production deployment. The platform includes GPU orchestration, inference optimization, compute, storage, networking, applied AI, agent development environments, and data pipelines.

The Director of Product, Ecosystem owns the external view of one or more Nebius platform layers. The role maps relevant ecosystem participants, engages priority targets, prototypes partnerships and integrations on the Nebius stack, and translates external insights into platform capabilities and product decisions. The role may focus on agentic systems, managed inference, IaaS or managed infrastructure, or data.

The position can be performed remotely in the United States.

Responsibilities

Strategy

• Own the ecosystem map for a platform layer, including key participants, their products, and gaps relative to the platform strategy.
• Define which companies to engage and develop a prioritized target list with a thesis for each target.
• Translate external landscape signals into build-versus-buy-versus-partner recommendations for product and executive leadership.

Sourcing

• Lead outbound engagement with founders, operators, and investors across the ecosystem domain.
• Build peer-level relationships with AI startup founders.
• Identify partnership, integration, and M&A targets before they become obvious to the market.

Solutioning

• Prototype integrations between partner products and the Nebius stack in a fast, hands-on, and technically sound manner.
• Scope partner architectures against the Nebius platform, identifying how products integrate and where they may break.
• Define the technical narrative and reference architecture for each partnership.
• Produce working proofs of concept that serve as starting points for product creation.

Internal Collaboration

• Work with ISV partners, systems integrator teams, and field teams to scale solution adoption and drive revenue once a solution is ready.
• Use ecosystem inception, experimentation, and prototyping as a pipeline for new platform capabilities and product development.
• Bring outside-in frontier signals into the company and help leadership determine where to invest.
• Participate in platform planning as the external voice of the ecosystem.

Platform Focus Areas

Depending on background and mutual fit, the role may own one or more of the following areas:

• Agentic: Agent frameworks, memory systems, tool integration, orchestration, and guardrails.
• Managed Inference: Inference runtimes, model routing, optimization tooling, and serving infrastructure.
• IaaS / Managed Infrastructure: Cloud-native integrations, GPU orchestration, sovereign cloud, and enterprise infrastructure.
• Data: Vector databases, retrieval systems, data pipelines, labeling infrastructure, and synthetic data.

Requirements

• 8+ years operating across product strategy, business development, and ecosystem or partnership development in AI or infrastructure.
• Deep technical fluency in at least one platform-layer domain, including an understanding of its architecture, key participants, and market dynamics.
• Genuine relationships with AI founders and venture capital investors.
• Experience as a founder, early operator, or investor in AI or infrastructure, with an understanding of startup decision-making and platform-partner needs.
• Ability to prototype an integration, scope a partner architecture, and produce a working proof of concept without waiting for an engineer.
• Strong written and verbal communication skills, with the ability to present a partnership thesis credibly to product executives and startup founders.
• Ability to build processes independently in an environment without an established playbook.

Preferred Qualifications

• Founded or worked as an early operator at a company building in one of the platform-layer domains.
• Experience as an Entrepreneur in Residence or investing partner at an AI-focused venture capital fund.
• Experience building an ecosystem or platform partnership function from scratch at a high-growth AI or infrastructure company.
• Experience structuring and closing technology partnerships through a letter of intent or acquisition.
• Familiarity with NVIDIA's software stack, inference tooling, or agent development frameworks.

Benefits

• Base compensation range of $228,000–$285,000 USD.
• 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan with up to a 4% company match and immediate vesting.
• Paid parental leave of 20 weeks for primary caregivers and 12 weeks for secondary caregivers.
• Remote work reimbursement of up to $85 per month for mobile and internet.
• Company-paid short-term disability, long-term disability, and life insurance.
• Career growth and learning opportunities.
• Flexibility and ownership.
• Collaborative and innovative culture.
• Opportunity to work on impactful AI projects.
• International environment and talented teams.

Nebius is an equal opportunity employer. Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire.