Revenue Operations Lead

Join a fast-growing AI infrastructure environment at a pivotal stage of revenue expansion, where compute capacity, technology, and commercial operations intersect. As the first Revenue Operations Lead, you will build the systems, processes, and reporting infrastructure that support scalable revenue growth. Working closely with Sales, Customer Success, Supply Operations, Legal, Finance, and leadership, you will turn fragmented workflows into a coordinated operating model. You will own CRM optimization, forecasting, pipeline visibility, deal desk processes, and sales planning while identifying opportunities to improve efficiency through AI-powered tools. This is a high-impact opportunity for an analytical, hands-on operator who enjoys building from the ground up and bringing clarity to complex, fast-moving environments. Your work will directly influence commercial performance and help establish the foundations for a growing revenue organization.

• Relevant experience: At least 5 years of experience in Revenue Operations, Sales Operations, or Business Operations within a high-growth B2B organization. Experience with usage-based, capacity-based, or infrastructure pricing models is particularly valuable.

• Hands-on CRM expertise: Proven experience owning and improving CRM systems at scale, including field architecture, workflow design, integrations, and data quality processes—not just report generation.

• Strategic and systems thinking: Ability to design processes for long-term scalability, anticipate future operational needs, and build infrastructure that remains effective as the business evolves.

• End-to-end ownership: Demonstrated experience building and managing operational processes such as forecasting models, deal desk workflows, or compensation calculations from the ground up.

• Comfort with ambiguity: Ability to prioritize independently, make decisions in an evolving environment, and establish structure where processes and responsibilities are not yet fully defined.

• Analytical rigor and direct communication: Confidence in presenting accurate performance data, communicating forecast gaps and compensation discrepancies clearly, and making recommendations grounded in evidence.

• Cross-functional influence: Strong collaboration and problem-solving skills, with the ability to align stakeholders across commercial, operational, legal, and financial teams.

• Preferred domain expertise: Experience in hyperscale cloud, GPU cloud, high-performance computing, or AI infrastructure, including familiarity with AI training and inference workloads.

• Preferred scaling experience: Experience developing forecasting or deal desk processes during a period of rapid revenue expansion.

• Preferred technical skills: SQL or scripting capabilities to build reporting and analytical solutions beyond native CRM functionality.

• Working style: Best suited to a proactive builder who thrives without established playbooks, takes ownership of difficult decisions, and is comfortable being accountable for business-critical numbers.