Senior Sales Strategy & Operations Associate

GlossGenius is the AI-powered system behind the world’s most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back — doing the jobs owners never had time for and couldn’t justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees.

Sales reps and managers at GlossGenius need fast, trustworthy access to the data that drives their day — pipeline health, AE performance, forecasts, commissions, funnel conversion. This role owns the reporting and BI infrastructure that puts those answers directly in front of the people who need them. You’ll build and maintain the dashboards, self-serve tools, and data quality processes that make the revenue org faster and more self-sufficient — so leaders can make decisions from data they trust without waiting on anyone.

You will report to the Director of RevOps. You must be commutable to our NYC headquarters and will operate in an in-person environment. We default to being in-office 3–4 days per week with required attendance on Tuesdays and Thursdays.

• →Own the Revenue BI layer end-to-end — build and maintain core dashboards covering pipeline, bookings, win rate, AE performance, and funnel conversion; deprecate conflicting reports and enforce a single source of truth
• →Build self-serve reporting infrastructure so reps, managers, and GTM leaders can answer their own questions — pipeline coverage, deal velocity, stage conversion — without submitting a request
• →Own commission reporting and validation — build and maintain the reporting that AEs and managers rely on for commission visibility; run the data checks that catch errors before they reach reps
• →Lead metric definitions and governance — document how each key revenue metric is calculated, run the alignment process with Finance, Sales Leadership, and the CRO, and publish a glossary the full GTM org can reference
• →Investigate and resolve data quality issues — when a revenue metric looks wrong, trace it from the dashboard back to source data, identify root cause, and route the fix to the right owner; build proactive monitoring that flags anomalies before they surface in a leadership meeting
• →Own the data layer between HubSpot and the forecast model — ensure the pipeline data feeding the forecast is clean, complete, and timely; validate deal data before it enters the weekly forecast process
• →Build pipeline and cohort analytics — stage conversion rates, velocity, coverage ratios, win rate analysis by segment, AE cohort, deal source, and competitive scenario; surface patterns that directly inform Sales strategy
• →Drive the historical reporting foundation that supports quota setting, territory design, comp plan modeling, and quarterly business reviews

• 3+ years in revenue operations, sales operations, or a BI/analytics role supporting a GTM org — you’ve been close to pipeline data and the people who depend on it
• Comfortable writing SQL for analysis and data validation — you don’t need to be an engineer, but you can pull your own data, investigate anomalies, and QA a report without waiting on someone else
• Experience building dashboards in a BI tool (Looker, Tableau, Metabase, or equivalent) — you know how to turn a business question into a useful view, even if you partner with data engineers on the heavier infrastructure
• Familiarity with CRM data at a reporting level — HubSpot or Salesforce pipeline data, lifecycle stages, deal history
• Track record of improving data trust — you’ve owned a metrics cleanup, a reporting migration, or a definitional alignment project where the hard part was getting people to agree, not writing the SQL
• Strong documentation instincts — you write things down, build glossaries, and leave processes better than you found them
• Comfortable running cross-functional alignment processes — you can get Finance, Sales, and Marketing in a room and walk out with consensus on a number
• Exposure to a modern data stack (dbt, Fivetran, Snowflake, BigQuery) is a plus — you’ll partner closely with data engineers who own the plumbing, but understanding the landscape helps
• Use AI tools actively to increase your own leverage — you’ve found ways to eliminate busywork and do higher-quality work faster because of them