About the Company
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.
Responsibilities
- Own the day-to-day commercial relationship across our strategic technology partners and named accounts within M&E. Manage business reviews, drive engagement plans, and ensure every relationship has a clear trajectory.
- Discover and qualify new partnership opportunities across advertising, content creation, and AI-native businesses. Run structured discovery, map joint value propositions, and develop the commercial frameworks that define how partners engage with Nebius.
- Translate Nebius's AI infrastructure capabilities into partner-ready narratives. Frame joint use cases, define go-to-market positioning, and build the commercial logic that makes Nebius the default infrastructure recommendation within a partner's customer base.
- Build the operating cadences that make M&E partnerships repeatable and measurable. Document relationship status, track partner-sourced pipeline, structure reporting that gives leadership real-time visibility, and ensure partner intelligence flows into product roadmap discussions.
- Identify co-marketing opportunities with strategic partners and drive execution in partnership with the Nebius marketing team. This includes joint content, case studies, campaign participation, and event activations. Represent Nebius at key M&E industry events, building relationships and reinforcing our market position.
- Codify learnings from partner engagements into reusable assets: partner profiles, engagement playbooks, objection maps, and use-case briefs that allow the broader field team to engage M&E credibly without your direct involvement.
Requirements
- AI-Native Intuition: You think AI-first. You understand the difference between inference and GPU’s and how AI workloads differ from traditional cloud consumption.
- Structured Strategic Foundation: 8+ years of professional experience with early-career roots in management consulting, corporate strategy, or a similarly structured analytical environment.
- Commercial Execution Experience: Proven track record in account management, business development, or strategic partnerships, specifically in roles where you owned the full relationship lifecycle, not just a transaction.
- Partnership & Ecosystem Fluency: Experience building or managing technology partnerships or channel-adjacent ecosystems. You understand how partners evaluate, package, and sell.
- Entrepreneurial Tenacity: You operate like a founder. You define the opportunity, build the plan, and execute it without waiting for someone to hand you the playbook.
- Operational Discipline: You build systems, not just relationships. You document, you track, you create reporting cadences, and you hold yourself and your partners accountable to structured progress.
- Communication & Executive Presence: Confident engaging with CTOs, VPs of Engineering, agency leadership, and studio executives. You hold a room without being the loudest voice in it.
- Comfort in Ambiguity: Experience operating in high-growth or early-stage environments where the playbook doesn't exist yet.
Conditions
- 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