Manager, Partner GTM Planning and Analytics

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.

About the Team

The newly formed Partner Operations team offers a unique opportunity to help build the operational backbone of Nebius’s rapidly growing partner ecosystem. You’ll work in a collaborative and supportive environment where operational excellence and cross-functional teamwork are key to enabling partner success. As part of a small, high-impact team, you’ll help design data-driven systems, programs, and processes to allow partners to build and scale with Nebius. This is a rare opportunity for a hands-on builder to help shape the infrastructure behind a next-generation AI cloud company operating at the forefront of the global AI economy.

Responsibilities

• Partner GTM Planning & Business Analysis
  • Support analysis for new partner routes to market, GTM plays, joint account planning, partner territories, coverage models, and marketplace initiatives.
  • Build business models to evaluate partner contribution targets, partner-sourced and partner-influenced pipeline, co-sell motions, partner attach, and regional coverage.
  • Support annual and quarterly partner planning, including capacity modeling, coverage planning, partner targets, and business case development.
  • Provide structured analysis and recommendations to help leadership assess where to invest across hyperscalers, ISVs, GSIs/SIs, resellers, strategic alliances, and marketplace partners.
• Partner Analytics, Reporting & Insights
  • Own global partner reporting, dashboards and data analysis across all global partner motions and routes to market.
  • Ensure data and reporting is available across all partner journey stages including partner activation, marketplace readiness, and revenue contribution.
  • Support Partner Marketing and Partner Enablement to evaluate partner accreditation, programs, partner deal registration, and partner demand generation.
  • Build recurring reports for pipeline reviews, QBRs, leadership updates, program performance, and partner operating cadences.
  • Conduct ad-hoc analysis on partner performance, GTM effectiveness, pipeline quality, coverage gaps, partner and program health, and marketplace opportunities.
  • Translate complex data into clear insights, recommendations, and executive-ready narratives.
• Partner Programs, Incentives & Business Modeling
  • Support modeling for partner tiers, incentive eligibility, MDF impact, partner benefits, program performance, and partner investment ROI.
  • Support partner team compensation, MBO analysis, and performance tracking in partnership with Revenue Operations, Finance, and leadership.
  • Support Partner Managers and leadership to evaluate program effectiveness and identify opportunities to improve partner engagement, effectiveness, activation, and revenue impact.
• AI Workflows & Operational Automation
  • Design and maintain AI-enabled workflows that improve reporting, analysis, planning, and Partner Operations productivity.
  • Build AI-assisted workflows for pipeline summaries, business reviews, executive updates, deal review summaries, partner scoring, and account planning insights.
  • Identify manual reporting, analysis, and coordination processes that can be automated using AI tools, agents, BI automation, or workflow automation.
  • Partner with Revenue Operations to operationalize AI workflows across PRM, CRM, BI tools, Slack, and other business systems.
• Partner Data Stewardship & Cross-Functional Support
  • Serve as the primary partner data and analytics resource for Partner Operations globally.
  • Collaborate with internal and external stakeholders to improve partner data quality, attribution logic, reporting consistency, and data governance.
  • Gather inputs from Partner Marketing, Revenue Enablement, RevOps, Sales, Finance, Marketplace, and partner leadership to support business analysis and decision-making.
  • Help define and document business requirements for dashboards, reports, partner KPIs, AI workflows, and partner data needs.

Requirements

• 5+ years of experience in Partner Operations, Channel Operations, Partner Sales Operations, Revenue Operations, Sales Operations, GTM Analytics, or a similar role in B2B technology.
• Experience working with partner ecosystems, preferably including hyperscalers, cloud marketplaces, ISVs, GSIs/SIs, resellers, co-sell partners, or strategic alliances.
• Strong analytical and business modeling skills, including dashboards, pipeline models, coverage models, incentive models, compensation / MBO analysis, forecast support, and executive reporting.
• Experience with partner metrics such as partner-sourced pipeline, partner-influenced pipeline, co-sell pipeline, deal registration, partner activation, partner tiering, marketplace pipeline, or partner revenue contribution.
• Strong BI and reporting experience using tools such as SQL, Tableau, Looker, Power BI, Datalens, Salesforce reporting, or equivalent platforms.
• Strong Salesforce / CRM fluency, including opportunity data, account hierarchy, partner attribution, pipeline stages, forecast categories, and GTM reporting.
• Hands-on experience using AI tools, agentic workflows, or workflow automation to improve reporting, business analysis, stakeholder updates, planning, or operating cadence.
• Ability to translate ambiguous business questions into structured analysis, clear recommendations, dashboards, and executive-ready summaries.
• Strong stakeholder management skills with the ability to work across Partner Operations, Partnerships, Sales, RevOps, Finance, Partner Marketing, Revenue Enablement, and leadership.
• A builder mindset with the ability to operate in ambiguity, create scalable processes from scratch, and bring structure to fast-moving business priorities.

Nice to Have

• Experience in cloud, AI infrastructure, neocloud, hyperscaler, SaaS, or enterprise technology.
• Experience supporting hyperscaler or marketplace motions such as AWS Marketplace, Microsoft Azure Marketplace, Google Cloud Marketplace, NVIDIA partner motions, or cloud co-sell programs.
• Experience with account mapping, partner overlap analysis, ecosystem intelligence tools, or partner data platforms.
• Experience supporting partner compensation, MBOs, MDF, partner incentives, tier models, benefits modeling, or partner program analytics.
• Experience with AI workflow tools such as ChatGPT, Claude, Microsoft Copilot, Glean, Slack AI, Zapier, Salesforce Flow, Tableau Next, BI automation, or agent-building platforms.
• Experience building executive reporting or board-level partner performance narratives.
• Experience working in a global partner ecosystem with multiple partner types, regions, and routes to market.

Benefits

• In the US:
  • 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
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

Pay

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: $137,600—$172,000 USD