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 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.
We are seeking an experienced Manager, Partner GTM Planning & Analytics to serve as the global partner data, planning, and insights lead for Nebius's global partnerships ecosystem. This role will help Nebius scale partner-led growth by building the reports, business models, dashboards, AI-enabled workflows, and operating insights required to support partner GTM execution across all partner types.
This is a hands-on operational analytics role for someone who understands partner ecosystems including; hyperscaler, reseller, referral, ISV, GSI, distributor, channel, and marketplace motions, enterprise GTM, and data-driven business planning. The role will support partner routes to market, GTM plays, joint account planning, partner territories, coverage models, partner team compensation, partner tier and incentive calculations, marketplace initiatives, and partner performance management.
Reporting to the Head of Partner Operations, this person will work closely with Partner Programs & Business Operations, Partner Systems, Partner Marketing, Revenue Enablement, RevOps, Sales, Finance, and leadership to turn global partner data into actionable insights and repeatable execution workflows.
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.
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.
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.
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.
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.
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.
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.
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
$138,000—$170,000 USD
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
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.
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Nebius provides cloud infrastructure and AI computing services, enabling users to build, optimize, and deploy AI models and applications on NVIDIA GPUs. The company targets data scientists, machine learning engineers, and enterprises seeking accessible GPU computing resources.
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