Key Responsibilities and Qualifications for Customer Success Operations Role in RevOps

er feedback programs—ensuring data continuity, reporting readiness, and minimal disruption to CS workflows. Impact: Technology transitions create risk if RevOps is not involved early in requirements definition, data design, and go-live readiness. Early involvement protects the integrity of the reporting and governance infrastructure this role is responsible for maintaining across all commercial systems. How: Partner with Customer Success leadership and system administrators to define requirements, support tool selection and implementation, and build reporting infrastructure once platforms are live. The CS team owns content, relationships, and execution; you own the data infrastructure and operational workflow for whatever lands in RevOps scope. 4. Drive Forecasting Accuracy & Executive Reporting Excellence (First 6–9 Months) Outcome: Forecasting views in Clari are live and actively supporting leadership across Sales and CS through monthly and quarterly review cadences. All pipeline, renewal, and churn reporting for executive reviews is structured, repeatable, and meets audit and forecasting requirements. Impact: Forecast accuracy is a shared responsibility across Sales and CS. Whether it is new business pipeline or multi-year renewal exposure, leadership needs a single, reliable view. Executive confidence in the numbers depends on how well this infrastructure is built and maintained. How: Design and maintain pipeline and renewal forecasting views in Clari aligned to how Sales and CS run their respective review cadences. Partner with Finance to align forecasting inputs, validate data integrity, and implement durable reporting processes. Support established forecast review cadences across both functions. 5. Drive Proactive Process Improvement Across RevOps Scope (Ongoing) Outcome: At least one recurring manual workflow or ad hoc reporting request has been converted into a documented, repeatable, or self-service process by the end of the first year. The team is measurably more scalable because of work this role initiated, not just completed. Impact: A team this size cannot grow by doing more of the same things manually. The value of a strong analyst is not just task execution—it is noticing when a recurring request is actually a process waiting to be designed, and building it. How: Track patterns in incoming requests. When the same question comes in from CS, Finance, or Sales more than once, treat it as a signal. Surface the observation, propose a solution, and see it through to implementation. Document everything you build so others can operate it without you. This is not a separate project—it is a habit embedded in how you do the rest of the job. WHAT YOU BRING 3–5+ years in Customer Success Operations, Sales Operations, Revenue Operations, FP&A, or Business Operations. Strong understanding of SaaS financial metrics (ARR, renewal math, uplifts, escalators, churn, saves). Experience with Salesforce reporting required; familiarity with revenue forecasting platforms such as Clari is a strong plus. Experience with customer success platforms (purpose-built CS tools or Salesforce-native CS operations). Specific platform experience matters less than understanding what good CS data infrastructure looks like. Ability to build dashboards (Power BI a plus). Comfort with AI tools and automation for insight generation and workflow scaling. Exceptional attention to detail and a track record of building repeatable processes. Confident communicator who can partner with CS, Sales, Finance, and Executives. Proactive by default—you surface gaps before they become problems, notice when recurring requests signal a process that needs to be built, and document what you create so the team does not depend on your memory. Bias for action, improvement, and building for future scalability and needs. Role Location: Working Environment: Hybrid If on-site/hybrid, role location: