Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 3
SQL @ 6
Looker @ 6
Tableau @ 6
Leadership @ 3
AWS @ 3
Azure @ 3
Data Analysis @ 3
CRM @ 3
Slack @ 3
BI @ 3
Reporting @ 3
ChatGPT @ 3
Power BI @ 6
Salesforce @ 6
GPU @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is building a full-stack AI cloud platform for the global AI economy, focusing on large-scale GPU orchestration, inference optimization, and applied AI. The newly formed Partner Operations team is designing the operational backbone for a rapidly growing partner ecosystem. This role is the global partner data, planning, and insights lead supporting partner-led growth by building reports, business models, dashboards, AI-enabled workflows, and operating insights to support partner GTM execution across all partner types.
Responsibilities
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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.
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Partner analytics, reporting & insights
- Own global partner reporting, dashboards and data analysis across all partner motions and routes to market.
- Ensure data and reporting availability across partner journey stages including partner activation, marketplace readiness, and revenue contribution.
- Support Partner Marketing and Partner Enablement to evaluate partner accreditation, programs, 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/program health, and marketplace opportunities.
- Translate complex data into clear insights, recommendations, and executive-ready narratives.
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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 with RevOps, Finance, and leadership.
- Help Partner Managers and leadership evaluate program effectiveness and identify opportunities to improve partner engagement, activation, and revenue impact.
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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.
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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.
- 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 (hyperscalers, cloud marketplaces, ISVs, GSIs/SIs, resellers, co-sell partners, strategic alliances).
- Strong analytical and business modeling skills (dashboards, pipeline models, coverage models, incentive models, compensation / MBO analysis, forecast support, 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 and 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.
Preferred (Bonus)
- Experience in cloud, AI infrastructure, neocloud, hyperscaler, SaaS, or enterprise technology.
- Experience supporting hyperscaler or marketplace motions (AWS Marketplace, Microsoft Azure Marketplace, Google Cloud Marketplace, NVIDIA partner motions, 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
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families (US).
- 401(k) plan: Up to 4% company match with immediate vesting (US).
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers (US).
- Remote work reimbursement: Up to $85/month for mobile and internet (US).
- Company-paid short-term, long-term and life insurance (US).
- Additional perks: competitive compensation, career growth and learning opportunities, flexibility and ownership, collaborative and innovative culture, opportunity to work on impactful AI projects, international environment.
Compensation (Pay Transparency)
Base compensation range: $138,000 — $170,000 USD
Location & Eligibility
- Role listed for the United States. 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.