Lead initiatives to design and refine net new bookings & revenue attribution models (direct and indirect)
Support the design, optimization and monitoring of commission structures, including target setting, achievement tracking and quarterly commission processes
Provide data-driven insights through market, competitive, and internal performance analyses to inform strategic decision-making
Contribute to the annual planning process by assisting in the development of targets, sales quotas, and territory assignments
Create and maintain Salesforce dashboards and reports to monitor pipeline health, sales productivity, and performance metrics
Assist with analysis of go-to-market performance trends and support ad hoc data requests including executive and board meetings
Collaborate with cross-functional teams on tracking, reporting, and management of key performance indicators across the funnel
Work closely with Finance, Legal, Growth and Business Intelligence teams to ensure alignment of processes and data models
Identify and implement process improvements across RevOps systems and workflows
Own and optimize the quality assurance (QA) process for account setups, collaborating with BI, Finance, and Client Delivery to drive automation and scale operational efficiency
Leverage advanced GSheets/Excel and SQL skills to develop robust reporting architectures and automation pipelines
Support integrations across Salesforce, Looker, Google Sheets, and other analytics tools
Learn and contribute to the evolution of our RevOps tech stack
Requirements
2–4 years of experience in Revenue Operations, FP&A, Strategy, Management Consulting, or related analytical roles
Experience in Salesforce and SaaS go-to-market strategies
Strong analytical mindset; able to structure ambiguous problems and model complex scenarios
Strong communicator with the ability to influence across teams and seniority levels
Detail-oriented with outstanding organizational and problem-solving abilities
Proactive learner who’s excited to grow in a high-growth, fast-paced environment
Preferred: Experience with Salesforce CPQ and sales compensation management tools
Preferred: Familiarity with attribution modeling in multi-touch B2B sales environments
Preferred: Experience navigating large data sets and/or SQL
Preferred: Expertise in Looker, or similar BI platforms
Preferred: Knowledge of global GTM motions and region-specific revenue operations