Vice President, Revenue Operations

Role overview

This is a senior executive position based in the United States, focused on designing and scaling the full go-to-market operating model for a fast-growing enterprise technology business. The role sits close to revenue leadership and helps shape how commercial decisions are made across the company.

You will own the systems, processes, analytics, and frameworks that support predictable growth, stronger seller productivity, and better decision-making at scale. A major part of the role is modernizing revenue operations through automation, AI-supported insights, and process improvement.

The position requires tight alignment across Sales, Marketing, Customer Success, and Partner teams, with a strong emphasis on execution consistency, forecasting accuracy, and revenue performance.

This opportunity is suited to someone who enjoys complex, data-led, high-velocity SaaS environments and is comfortable operating at executive level.

Responsibilities

• Shape revenue strategy by handling quota planning, territory structure, capacity modeling, and incentive compensation design aligned with company objectives.
• Develop and run advanced analytics for pipeline health, churn forecasting, expansion modeling, and revenue projections.
• Direct go-to-market operations across Sales, Marketing, Customer Success, and Partner functions to keep execution aligned and effective.
• Own the revenue technology environment, including tools such as Salesforce, Gong, Clari, CPQ, and Gainsight, while improving automation, integrations, and AI use.
• Drive revenue enablement efforts that improve onboarding, increase seller output, and standardize methods such as MEDDPICC and value-based selling.
• Oversee deal desk activity, pricing controls, quoting workflows, and contract structure in partnership with Finance and Legal.
• Run GTM program management and ensure major initiatives are delivered on schedule and in line with business priorities.

Requirements

• Demonstrated ownership of forecasting, annual operating planning, quota setting, territory planning, and revenue performance management at scale.
• Strong command of revenue systems, analytics, and GTM infrastructure, with the ability to turn data into practical business actions.
• Deep knowledge of incentive compensation design, including crediting logic, dispute handling, and compensation tools such as CaptivateIQ or Xactly.
• Hands-on experience with modern GTM platforms like Salesforce, Clari, Gong, Outreach, CPQ, and Gainsight.
• Strong cross-functional influence skills, with the ability to work effectively with Sales, Marketing, Finance, Customer Success, and Legal leaders.
• Background in building scalable revenue processes, operating cadences, and data-driven decision-making structures in complex organizations.
• Highly analytical approach with the ability to build models, interpret pipeline information, and support strategic choices.
• Experience in revenue enablement, GTM transformation, or partner/channel operations is a strong plus.

Perks and benefits

• Estimated base pay of $210,000 to $255,000 per year, plus bonus
• Full medical, dental, and vision coverage
• 401(k) retirement savings plan
• Performance-linked incentive and recognition programs
• Flexible working style with a modern remote-first environment
• Opportunity to work closely with executive leadership on strategic GTM transformation
• Career growth in a high-growth enterprise SaaS setting
• Inclusive culture built around collaboration and innovation

Additional information

This role is published on behalf of a partner company, which handles applications and all next steps directly. The hiring company manages the final decision process, including interviews and assessments.

A data privacy notice applies to applications submitted for this role. Personal information may be used to evaluate candidacy and share relevant details with the employer under applicable data protection laws, including GDPR. Applicants may request access, correction, deletion, or objection regarding their data at any time.

AI-supported tools may be used in parts of the hiring workflow, such as application review, resume analysis, response assessment, and identifying inconsistencies or verification signals. These tools support the recruitment process but do not replace human judgment.