Head of Revenue Operations

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of Revenue Operations based in the United States.

This is a high-impact leadership opportunity to build and scale the revenue operating system for a fast-growing SaaS organization.
You’ll own the processes, systems, metrics, forecasting, and commercial infrastructure that enable predictable growth.
The role combines strategic leadership with hands-on execution across CRM, pipeline management, pricing, and quote-to-cash operations.
You’ll also lead the development of an AI-native operating layer that delivers real-time insights, automated reporting, and workflow leverage.
Working closely with Sales, Marketing, Customer Success, Finance, Product, and Technology, you’ll create stronger cross-functional alignment.
Your work will directly influence forecasting accuracy, sales productivity, pipeline health, retention, and executive decision-making.
This role is ideal for a growth-stage RevOps operator who thrives in ambiguity and enjoys building scalable infrastructure from the ground up.

Accountabilities

• Own the revenue operating system, including processes, metrics, systems, and operating cadences that support consistent and predictable commercial performance.
• Take end-to-end ownership of the CRM and partner with Systems Engineering to improve Salesforce configuration, data integrity, workflow automation, scalability, and adoption.
• Assess the existing commercial technology ecosystem and define the optimal AI-native technology stack and roadmap for Revenue Operations.
• Act as the accountable owner of the RevOps technology roadmap while partnering with Product and Technology to develop scalable AI-powered capabilities.
• Own pricing strategy, SKU structures, and the quote-to-cash process, ensuring pricing and deal execution remain consistent, accurate, and scalable.
• Lead the forecasting cadence and build robust models covering pipeline, bookings, ARR, pipeline velocity, and other key revenue indicators.
• Develop an AI-powered operating layer incorporating automated briefings, pipeline intelligence, meeting preparation, reporting dashboards, and workflow automation.
• Establish a unified KPI framework with consistent definitions, visibility, and accountability across the commercial funnel.
• Analyze pipeline health, conversion rates, sales efficiency, and other performance indicators to identify opportunities for growth and operational improvement.
• Coordinate cross-functional resources across Marketing, Finance, RFP, Value Enablement, Sales Engineering, and Sales to maximize effectiveness on active opportunities.
• Partner with Sales, Marketing, Customer Success, and Finance leadership to align go-to-market execution with broader business and financial objectives.
• Design and manage sales compensation and incentive plans that support business goals and encourage the right behaviors across revenue teams.
• Build scalable processes and infrastructure that can evolve with the organization as it grows.

Requirements

• 8–12+ years of experience across Revenue Operations, Sales Operations, or GTM analytics, preferably within a SaaS environment.
• Previous experience serving as a Head or Director of Revenue Operations, or in an equivalent role, with demonstrated ownership of the function at a comparable growth stage.
• Proven experience operating in a high-growth environment characterized by ambiguity, rapid change, and the need to build infrastructure from the ground up.
• Deep understanding of SaaS metrics, including ARR, NDR, GDR, CAC, LTV, pipeline coverage, sales productivity, and their relationship to overall business performance.
• Strong forecasting and financial modeling capabilities, including experience building pipeline, bookings, ARR, or pipeline-velocity models that improve predictability.
• Hands-on expertise owning Salesforce or a comparable CRM, including configuration, data governance, workflow design, automation, and adoption.
• Demonstrated experience owning pricing strategy, SKU structures, and quote-to-cash processes, ideally through a period of significant business or pricing-model growth.
• Strong understanding of modern GTM technology, BI, planning, AI, and automation tools, with the ability to identify opportunities to create operational leverage.
• Experience using AI to automate reporting, briefings, workflows, and operational processes rather than relying solely on additional headcount.
• Proven ability to collaborate effectively with Sales, Marketing, Customer Success, Finance, Product, Technology, and executive leadership.
• Strong analytical, strategic, and problem-solving skills, combined with a highly hands-on operator mindset.
• Ability to translate data and insights into clear recommendations, operational improvements, and measurable business outcomes.
• Experience supporting major growth milestones such as scale-ups, post-acquisition integrations, restructuring, or M&A is a plus.
• Familiarity with tools such as Sigma, Adaptive, Salesforce ecosystem solutions, AI-native reporting platforms, and self-service analytics environments is advantageous.
• Experience designing and optimizing sales compensation programs at scale is preferred.

Benefits

• Salary: $175,000–$200,000 per year.
• Flexible Time Off (FTO) to support work-life balance and flexibility.
• Competitive overall compensation and benefits package.
• Opportunity to build a scalable, predictable commercial engine rather than simply maintain an established system.
• Opportunity for career growth from an individual-contributor leadership role into managing the people and functions supporting Sales Operations as the organization scales.
• Mission-driven environment focused on improving healthcare outcomes through data and technology.
• Opportunity to build and own an AI-powered revenue operating layer using modern technology and automation.
• Collaborative, data-driven culture centered on ownership, measurable impact, and continuous improvement.
• Remote work within the United States.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.