Instrumentl

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Revenue Systems Manager

Revenue OperationsRevenue OperationsFull TimeRemoteTeam 11-50Since 2016H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

27 days ago

Salary

$120K - $170K / year

Bachelor Degree3 yrs expEnglishApolloBig QueryPythonSQLTableau

Job Description

• Own the technical infrastructure that powers our revenue engine • Architect our CRM data model and integrate new data sources • Lead the technical implementation of AI tools across our sales processes • Work alongside the Revenue Operations Manager • Maintain our CRM data model in HubSpot • Build and maintain data pipelines that connect external sources into our CRM • Establish data governance standards and ensure data quality across all revenue systems • Create a "single source of truth" for revenue data that sales, marketing, and CS can trust • Evaluate, implement, and optimize AI tools that enhance sales productivity • Build automated workflows that reduce manual work for reps • Build and maintain dashboards and reports that provide visibility into pipeline health, conversion rates, and GTM performance • Own outside integrations between our revenue tools

Job Requirements

  • 3-5+ years in Revenue Operations, Sales Operations, Marketing Operations, or a GTM Systems role at a B2B SaaS company
  • Strong technical skills: You can write SQL, build complex workflows, and aren't intimidated by APIs. You've done hands-on work in CRM administration (HubSpot strongly preferred, Salesforce acceptable)
  • Data architecture/Integration experience: You've designed or significantly improved a CRM data model. You've connected multiple systems (CRM, enrichment tools, marketing automation, data warehouse) and understand how data flows across a tech stack
  • Analytical mindset: You make decisions based on data, can interpret conversion metrics, and know how to measure whether something is working
  • Experience implementing AI/automation tools in a GTM context (n8n, Zapier, Clay, etc.) - Nice to Have
  • Familiarity with data enrichment vendors (Clearbit, ZoomInfo, Apollo, etc.) and intent data providers (Bombora, G2, 6sense, etc.) - Nice to Have
  • Python or other scripting experience for data manipulation - Nice to Have
  • Experience with BI tools (Looker, Tableau, Mode) or data warehouses (Snowflake, BigQuery) - Nice to Have

Benefits

  • 100% covered health, dental, and vision insurance for employees (50% for dependents)
  • Generous PTO, including parental leave
  • 401(k)
  • Company laptop and home-office stipend
  • Bi-Annual Company Retreats for in-person collaboration

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