Director of Product, Ecosystem

Details

About Nebius

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers: from large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel.

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

Responsibilities

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 in the 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 proof-of-concepts 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
• Treat inception, experimentation, and prototyping 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 platform domains:

• 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

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 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

Added bonuses (not required)

• Founded or been an early operator at a company building in one of the 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

Benefits

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

Compensation

• We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) + Equity based on your experience.
• Compensation Range (listed): $154,600 — $231,800 USD

What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement

Nebius is an equal opportunity employer. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.