Senior Sales Strategy & Operations Associate

GlossGenius is the AI-powered system behind the world's most meaningful appointments, helping 120,000+ 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 data 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.

• →Architect the revenue reporting layer end-to-end, including core dashboards covering pipeline, bookings, win rate, AE performance, and funnel conversion, inclusive of self-serve infrastructure so reps, managers, and GTM leaders can answer their own questions without submitting a request
• →Design AI-powered workflows that eliminate the manual, repeatable parts of revenue analytics, including anomaly detection, pattern surfacing, and performance summaries
• →Own commission reporting and validation, building the reporting AEs and managers rely on for commission visibility and running the data checks that catch errors before they reach reps
• →Lead metric definitions and governance, documenting how each key revenue metric is calculated, running the alignment process with Finance, Sales Leadership, and the CRO, and publishing a glossary the full GTM org can reference
• →Investigate and resolve data quality issues at the source, tracing anomalies from the dashboard back to source data, identifying root cause, and building proactive monitoring that flags issues before they surface in a leadership meeting
• →Build pipeline and cohort analytics that directly inform Sales strategy, including stage conversion rates, velocity, coverage ratios, and win rate by segment, AE cohort, deal source, and competitive scenario
• →Advance the historical reporting foundation that supports quota setting, territory design, comp plan modeling, and quarterly business reviews

• 4+ years in revenue operations, sales operations, or an analytics role supporting a GTM org, with a track record of being close to pipeline data and the people who depend on it
• Proven experience building AI-powered workflows that changed how a revenue or sales ops function operates
• You move without waiting for someone else to flag the problem; when a metric looks wrong or a process is slower than it should be, you’re already solving for it
• Comfortable writing SQL for analysis and data validation, able to pull data, investigate anomalies, and QA a report independently
• Experience building dashboards in a BI tool such as Looker, Tableau, or Metabase, with the ability to turn a business question into a useful view even when heavier infrastructure lives with a data engineering team
• Track record of improving data trust, having 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, writing things down, building glossaries, and leaving processes better than they were found
• Comfortable running cross-functional alignment processes and able to get Finance, Sales, and Marketing to consensus on a number
• Familiarity with a modern data stack including dbt, Fivetran, Snowflake, or BigQuery is a plus