This is a foundational and transformational role at a pivotal moment for CoreWeave, as we scale our revenue operations infrastructure to support our trajectory as a newly public AI hyperscaler. Following our 2025 IPO and accelerated growth trajectory, we are in search of a world-class RevOps leader who can build enterprise-grade operational rigor while maintaining the Startup mindset, agility, and innovation that defines CoreWeave.

The ideal candidate will transform revenue operations from a supporting function into a strategic growth driver, creating the data foundation, process excellence, and operational insights that enable our sales, marketing, customer success, support, field engineering, and partner teams to execute at peak performance. As an AI-native company, we expect you will lead us into an AI-first strategy to create a next-generation AI-driven RevOps function to harness and implement innovation throughout our global field organization.

The successful candidate will be a proven revenue operations executive with deep expertise in scaling high-growth technology companies, building world-class revenue operations platforms, and partnering with sales leadership to drive measurable business outcomes. You will have demonstrated success implementing sophisticated revenue operations frameworks, leading large global teams, and establishing data-driven cultures that turn insights into action. Your experience spans the full revenue operations stack,from CRM architecture and sales automation to forecasting methodologies, territory optimization, compensation design, and revenue analytics.

This role uniquely combines strategic leadership with hands-on operational excellence. You will define CoreWeave's revenue operations strategy, build and lead a global team of revenue operations professionals, establish our RevOps technology stack and data architecture, create scalable processes that drive efficiency while maintaining growth, and deliver the analytics and insights that inform executive decision-making. You will be the operational partner to our Chief Revenue Officer and go-to-market leadership, ensuring we have the infrastructure, insights, and execution to achieve our ambitious revenue targets while maintaining the flexibility to adapt as markets and opportunities evolve.

Strategy & Vision Define and execute CoreWeave's global revenue operations strategy, establishing world-class operational rigor, process excellence, and data infrastructure that enables predictable, scalable revenue growth. Build comprehensive revenue operations capabilities spanning sales operations, sales strategy, sales enablement, revenue analytics, sales compensation, territory management, and forecasting,creating an integrated operational framework that drives efficiency and effectiveness across the entire revenue organization. Design and implement CoreWeave's revenue technology stack, selecting, integrating, and optimizing CRM, sales engagement, revenue intelligence, forecasting, compensation, and analytics platforms that create a single source of truth for revenue data and enable seamless execution. Leverage AI to fundamentally build a next-gen RevOps center of excellence. Lead ongoing integrations of acquisitions made by the company. Establish data-driven forecasting methodologies and revenue analytics frameworks that provide executive leadership with accurate, real-time visibility into pipeline health, revenue performance, and growth trajectories across segments, products, and geographies. Partner with CRO and go-to-market leadership to develop strategic territory plans, quota allocation models, capacity planning frameworks, and resource deployment strategies that optimize coverage, maximize revenue potential, and drive efficient growth. Design and implement sales compensation programs that align with corporate objectives, drive desired behaviors, and attract and retain top sales talent, including variable compensation structures, accelerators, SPIFs, and performance-based incentives. Establish robust revenue governance frameworks, including deal desk operations, pricing and discount approval workflows, contract review processes, SOX compliance, and commercial risk management that balance growth velocity with operational discipline. Create sophisticated revenue analytics and business intelligence capabilities, delivering executive dashboards, pipeline analytics, win/loss analysis, sales productivity metrics, and strategic insights that inform decision-making and drive continuous improvement. Drive operational excellence through continuous process optimization, automation of manual workflows, elimination of friction in revenue processes, and implementation of best practices that enable the sales organization to focus on selling. Recruit, develop, and lead a world-class global revenue operations organization, including sales operations, sales strategy, enablement, compensation, and analytics teams, building a high-performance culture of operational excellence and strategic partnership with the go-to-market organization. Serve as the strategic thought partner to the CRO and executive leadership team, providing data-driven insights, scenario modeling, and operational recommendations that inform strategic decisions on market expansion, product prioritization, and go-to-market investments.

Who You Are: Minimum 15+ years of progressive experience in revenue operations, sales operations, or sales leadership roles, with at least 8 years in senior revenue operations leadership positions. Proven track record building and scaling revenue operations functions in high-growth B2B technology companies, ideally with experience supporting organizations generating $500M+ in annual revenue. Demonstrated success implementing and optimizing enterprise CRM platforms (Salesforce expertise required), revenue intelligence tools, sales engagement platforms, and revenue analytics solutions at scale. Deep expertise in sales forecasting methodologies, pipeline management frameworks, revenue recognition principles, and financial planning processes that drive accurate revenue predictability. Extensive experience designing sales compensation plans, quota methodologies, territory models, and capacity planning frameworks for complex sales organizations with multiple segments and product lines. Strong background in data analytics, business intelligence, and revenue reporting, with ability to translate complex data into actionable insights and executive-ready presentations. Track record of building and leading high-performing global revenue operations teams, including experience managing teams across multiple geographies and time zones. Experience supporting enterprise sales.

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Responsibilities:

• Conduct growth and margin analysis, discount impact assessment, and deal profitability modelling to support data-driven decision making
• Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests
• Review and analyse enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications
• Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals
• Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders
• Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives
• Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls
• Maintain comprehensive deal documentation and provide regular reporting on deal desk metrics, trends, and performance

You may be a good fit if you:

• Have 7+ years of experience in deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment
• Possess hands-on experience building sophisticated financial models, conducting pricing optimisation, and structuring complex deals
• Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
• Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows
• Have experience with CRM systems, CPQ tools, and contract management platforms
• Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail
• Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership

Strong candidates may also have:

• Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles
• Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking
• Experience with deal desk operations at companies with subscription and consumption-based business models
• Knowledge of enterprise software contract terms and industry-standard commercial practices
• Understanding of AI business models and the unique commercial considerations

The annual compensation range for this role is $235,000 - $310,000 USD.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

XML job scraping automation by YubHub

Responsibilities:

• Conduct growth and margin analysis, discount impact assessment, and deal profitability modelling to support data-driven decision making
• Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests
• Review and analyse enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications
• Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals
• Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders
• Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives
• Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls
• Maintain comprehensive deal documentation and provide regular reporting on deal desk metrics, trends, and performance

You may be a good fit if you:

• Have 3+ years of experience in deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment
• Possess hands-on experience building sophisticated financial models, conducting pricing optimisation, and structuring complex deals
• Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
• Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows
• Have experience with CRM systems, CPQ tools, and contract management platforms
• Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail
• Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership

Strong candidates may also have:

• Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles
• Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking
• Experience with deal desk operations at companies with subscription and consumption-based business models
• Knowledge of enterprise software contract terms and industry-standard commercial practices
• Understanding of AI business models and the unique commercial considerations

The annual compensation range for this role is €140,000 - €175,000EUR.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

XML job scraping automation by YubHub