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Director of Product, Ecosystem

This is a Director of Product, Ecosystem role for a remote US-based product manager focused on AI cloud infrastructure. The role owns the external ecosystem view, translating partner integrations and external signals into new platform capabilities across domains like Agentic, Managed Inference, and IaaS. This senior role requires deep technical fluency and involves defining product strategy through hands-on prototyping and partnership development.

Seniority

Director

Product Area

platform

Work Style

Remote

Salary

$265k–315k/yr

Location

United States

Type

Full_time

Role type

Skills

Required

  • AI
  • cloud infrastructure
  • GPU orchestration
  • inference runtimes
  • agent frameworks
  • vector databases
  • data pipelines
  • AI founders
  • VCs

Nice to have

  • EIR
  • AI-focused VC fund
  • NVIDIA's software stack
  • LOI
  • acquisition

Benefits

HealthDentalVisionEquity401kParental LeaveRetirement MatchHome Office Stipend
Full job description
Location: Remote; Remote - United States Department: Token Factory 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. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R D. 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 in the AI startup founders — the kind where people call you before they announce anything Identit y 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. Compensation We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) + Equity based on your experience. Compensation We offer competitive compensation packages based on experience. Compensation Range $265,000 — $315,000 USD Benefits Perks: Competitive compensation Career growth and learning opportunities Flexibility and work-life balance 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 Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. 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.

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