Senior Staff Software Engineer, Platform - IAM
Coinbase · United States
Nebius · United States
What they do, how they make money, why this role exists.
Reading up on Nebius…
One proof-of-work idea, an hour to build, that shows this employer you get their business.
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Who likely hires for this role, a LinkedIn search pre-filled to find them, and a short intro written for this exact job — you send it yourself.
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.
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.
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
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
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
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
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.
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
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Opportunity to work on impactful AI projects International environment and talented teams
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
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.
Straight from the source — this role comes from Nebius's own hiring system, not a scraped repost. iRocket links you directly; we don't host the posting or the application.
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