Togetherwork

Revenue Operations Manager

Togetherwork

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $110,000 - $140,000 per year

Job Level

Mid-LevelSenior

About the role

  • Report to the Head of Revenue Operations and partner with sales to accelerate revenue growth
  • Drive process improvements, execute commissions, optimize the sales tech stack, and uncover buyer journey insights
  • Act as operational partner to sales reps and managers to ensure tools, data, and processes support growth
  • First 30 Days: Onboard, learn RevOps processes and tech stack, interview Sales and Marketing, review enablement and commission structures
  • First 90 Days: Own commissions execution (data, analysis, payroll submissions), manage Salesforce and tool support tickets, prioritize RevOps initiatives, manage Salesforce-adjacent tools
  • First 6 Months+: Optimize sales processes, enhance Salesforce best practices, implement automations, build reports and dashboards, collaborate cross-functionally, lead requirements gathering for RevOps projects

Requirements

  • 3–5+ years in Revenue Operations, Sales Operations, or GTM Operations
  • Proficiency with Salesforce CRM and marketing automation tools (HubSpot preferred)
  • Experience with sales tech stack tools (Qualified, Sales Engagement, Clay, Fathom AI, or similar)
  • Strong analytical ability to draw insights from data, build reports, and support forecasting
  • Proven track record of improving sales processes, quota/commission management, and tool adoption
  • Strong project management and organizational skills with attention to detail
  • Coaching & Development: Able to support sales teams with enablement and performance improvement
  • Attention to Detail: Produces high-quality, accurate, and error-free work
  • Collaboration: Builds effective cross-functional partnerships with Sales, Marketing, and Technical stakeholders
  • Accountability & Follow-through: Consistently delivers on commitments and drives accountability across teams
  • Analytical Thinking: Quickly processes qualitative and quantitative data into actionable insights
  • Efficiency & Process Optimization: Skilled in workflow improvement, tool integration, and data hygiene