Own Salesforce data layer, forecasting cadences, sales compensation administration, and deal desk processes as the embedded RevOps partner to Sales leadership in a B2B SaaS environment.
110k – 192k/yr
Remote5+ YOERevenue Operations
About the role
What You'll Do
Salesforce Data Ownership & Hygiene
Own the Salesforce data layer for Sales: object model accuracy, field definitions, pipeline data integrity, and the hygiene processes that keep opportunity data trustworthy
Build and maintain SFDC reports for Sales — pipeline views, stage conversion, rep activity, attainment — serving as the primary Salesforce reporting resource for Sales leadership and frontline managers
Define and enforce data entry standards across the Sales org; build the accountability loops (process, tooling, or workflow) that sustain hygiene over time without manual correction
Partner with the GTM Systems Architect on SFDC configuration changes, flow updates, and object model evolution driven by Sales process needs
Serve as the Sales-side data partner to the GTM Insights & Analytics Manager, ensuring Salesforce objects and fields are correctly structured as upstream inputs to Snowflake and the BI layer
Forecasting & Pipeline Cadences
Own the Sales forecast process operationally: run the weekly pipeline and forecast review cadence, partner with frontline managers to validate SFDC data (deals, close dates, eGPV, stage accuracy), and ensure action items are followed through
Prepare pipeline review materials — pulling from SFDC reports — that surface trends, risks, slippage, and coverage gaps by segment for Sales leadership discussion
Proactively flag forecast risks and data quality issues; escalate coverage shortfalls and drive cross-functional conversations when pipeline generation is off track
Partner with the GTM Insights & Analytics Manager on forecast accuracy improvement: they bring the BI modeling and historical analysis; you bring the SFDC data discipline and process accountability
Support GTM MBR and QBR cadences with consistent, SFDC-sourced reporting inputs and segment-level operational narrative
Sales Compensation Design & Administration
Own end-to-end compensation administration for the Sales organization — plan documents, quota assignments, attainment tracking, payout calculations, approval processes and dispute resolution
Partner with the Head of Revenue Operations and Finance to support annual comp plan design, ensuring plans are aligned to GTM strategy, bookings goals, and crediting rules for both standard and non-standard deal structures
Maintain the compensation administration platform as the system of record, ensuring calculation accuracy, auditability, and clean data lineage from deal close to payout
Manage the full comp calendar — plan communication, quota letter distribution, mid-year adjustments, and commission statement delivery
Administer SPIFs and accelerators; track performance and report outcomes to Sales leadership and Finance
Build and maintain comp infrastructure that scales with headcount growth and plan complexity — modular, documented, and auditable
Sales Process & Deal Desk Operations
Own the documentation and operationalization of Sales processes and methodology — ensuring consistent execution from prospecting through close
Partner with Sales leadership and Enablement to drive process adoption and accountability, with clear feedback loops on where breakdowns occur in the funnel
Own the deal desk process for standard and non-standard pricing: define the approval matrix, set and enforce SLAs, resolve bottlenecks, and ensure contract and implementation handoffs execute without friction
Identify process gaps and prioritize improvements in partnership with the GTM Systems Architect; translate Sales business requirements into system changes
Optimize the Marketing → Sales → Implementation → Customer Success handoff, reducing friction at each transition point
Operating Cadences & GTM Rhythm
Own the weekly pipeline and forecast review end-to-end: preparation, facilitation, and follow-through
Track open headcount and hiring progress across the Sales org; flag capacity and coverage risks to RevOps and Sales leadership
Partner with Sales leadership on bookings planning — coordinating inputs from segment leads, validating against historical data, and stress-testing plan assumptions
Support segment performance reviews by preparing SFDC-sourced operational inputs; partner with GTM Insights for the analytical narrative layer
What You'll Have
Core Experience & Mindset
5–8 years in Sales Operations, Revenue Operations, or Business Operations in a B2B SaaS environment
Deep Salesforce ownership experience — object model design, data hygiene management, and SFDC as the system of record for Sales
Direct experience owning sales compensation administration — plan design support, attainment tracking, payout calculation, and dispute management
Proven ability to own a forecasting cadence: running the process, driving data discipline in CRM, and delivering reliable roll-ups to leadership
Comfortable building and maintaining SFDC reports and dashboards for Sales leadership and frontline managers
Working knowledge of how Salesforce data flows into downstream systems — sufficient to partner effectively with Analytics Engineering and GTM Insights without owning those layers
Familiarity with modern data stack tooling (Snowflake, dbt, Fivetran, or equivalent) is a plus
High ownership orientation — identifies what needs to be done and does it without being directed
Strong cross-functional communicator: fluent in a forecast review with a sales manager and a comp dispute conversation with Finance in the same week
Comfortable in a fast-moving, build-mode environment with limited process inheritance
Salesforce & Technical Fluency
Advanced Salesforce experience — object model design, reporting, dashboards, pipeline management, data hygiene, Flows
Familiarity with how SFDC data is modeled in Snowflake/dbt as downstream inputs — sufficient to collaborate with the GTM Insights Manager and Analytics Engineering
Lead FP&A business partner for GTM teams (Sales, BD, Marketing, Customer Success). Own headcount/spend forecasting, build data pipelines and dashboards with SQL/Databricks, establish data governance and SOPs, and partner cross-functionally to drive financial visibility and operational decisions in a defense tech environment.
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