Responsibilities

• Partner & Account Relationship Management: 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.
• Partner Ecosystem Development: 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.
• Commercial Strategy & Use-Case Framing: 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.
• Operational Rigor & Process Design: 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.
• Co-Marketing & Ecosystem Presence: 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.
• GTM Enablement: 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 - 15 + 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.

Preferred

• Experience working within or selling to the media and entertainment ecosystem, including advertising, content creation, VFX, or AI-native production companies.
• Background in AI, cloud platforms, or GPU-accelerated computing.
• Prior experience in a sales overlay, vertical GTM, or domain specialist role within a cloud company.

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.
• Competitive compensation and benefits (from Benefits & Perks section).
• 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