The roleNebius 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 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
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
- 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 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
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 TransparencyWe 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
$208,800-$261,000 USD
Benefits & Perks:- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
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
