About The Role
The role owns the systems and data that power the revenue engine — CRM architecture, forecasting models, pipeline analytics, and go-to-market tooling that sales, marketing, and finance teams rely on daily.
You will sit at the intersection of data and business process: translating revenue questions into SQL queries and dashboards, cleaning up CRM hygiene, and building the operational infrastructure that lets the GTM org scale efficiently.
Key Responsibilities
- Administer and optimize the Salesforce instance: manage objects, validation rules, flows, and permission sets to keep the CRM clean and reliable
- Build and maintain dashboards and reporting in Looker, Tableau, or SQL to track pipeline health, conversion rates, quota attainment, and forecast accuracy
- Own territory management, lead routing, and quota modeling as the sales team scales
- Partner with Finance on annual planning, headcount modeling, and board-level revenue reporting
- Evaluate, implement, and integrate GTM tooling (Outreach, Gong, ZoomInfo, Clay) across the revenue tech stack
- Diagnose funnel inefficiencies through data analysis and recommend process or system changes with measurable ROI
- Train and support sales leadership on forecasting methodology, pipeline hygiene standards, and CRM best practices
What We Are Looking For
- 3-6 years of experience in Revenue Operations, Sales Operations, Business Analyst, or comparable GTM analytics roles, ideally in B2B SaaS
- Advanced SQL skills and hands-on Salesforce administration experience (Admin certification a plus)
- Proficiency in BI tools (Looker, Tableau, or Power BI) and building models in Google Sheets or Excel
- Experience owning revenue forecasting, pipeline analytics, or quota/territory planning processes end-to-end
- Strong stakeholder management: able to work with sales leaders, finance, and engineering to drive process change
- Bachelor's degree in a quantitative field (economics, statistics, business analytics) or equivalent practical experience
- Bonus: experience with Python or dbt for data pipelines, RevOps certifications (Revenue Ops School, RevGenius), or exposure to CPQ and billing systems
