About GlossGenius
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.
About the Role
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.
What You'll Do
- 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
What We're Looking For
- 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
Benefits & Perks
- Competitive health & dental insurance options, effective on your first day of employment
- Flexible PTO
- In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
- Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
- Annual stipend for professional development and continued learning
- High performers at 5 years receive a generous stipend to use however you recharge best
- 401k benefit: employees are eligible to contribute starting day 1 of employment
- Dependent Care FSA
- Paid parental leave
- Fertility and adoption benefits via Carrot and Kindbody
The base salary for this role is between $120,000-$150,000 + equity + benefits. The compensation package offered is dependent upon many factors including skills, experience, location, and education. The range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius's equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.
At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.
GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
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