Director of Revenue Operations & Strategy

New
J
JobgetherB2B SaaS
Remote position within the United States.Full-TimeDirector
Salary not disclosed
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Job Details

Experience
7+ years of experience in revenue operations, sales operations, or go-to-market strategy
Required Skills
SQLHubSpot

Requirements

  • Bring 7+ years of experience in revenue operations, sales operations, or go-to-market strategy.
  • Have experience leading a function or team.
  • Bring deep, hands-on, administrator-level HubSpot experience; experience migrating to or scaling HubSpot is highly valued.
  • Understand marketing automation, sales engagement, CPQ, revenue intelligence, CRM architecture, and workflow automation.
  • Have analytical depth and fluency with BI tools, SQL, and/or AI-enabled analytics.
  • Demonstrate experience developing revenue forecasts, pipeline analytics, executive reporting, territory planning, quota methodologies, capacity models, and resource allocation frameworks.
  • Have hands-on experience evaluating and deploying AI tools in revenue operations, sales operations, or broader business operations.
  • Have experience designing and improving lead-to-cash processes, cross-functional handoffs, operating cadences, and revenue workflows.
  • Be able to move between high-level strategy and hands-on execution and influence senior stakeholders using data and analysis.
  • B2B SaaS experience is preferred.

Responsibilities

  • Lead annual and quarterly revenue planning across Sales, Marketing, and Customer Success, including territory design, quota methodology, capacity planning, and market segmentation.
  • Build data-driven models connecting headcount and investment decisions to revenue targets and recommend resource allocation to senior leadership.
  • Own HubSpot administration, architecture, workflow automation, lifecycle stages, lead scoring, deal pipelines, reporting, and data hygiene.
  • Oversee the revenue technology ecosystem, including marketing automation, sales engagement, CPQ, and revenue intelligence systems.
  • Evaluate, implement, and optimize AI tools for forecasting, lead scoring, pipeline analysis, automation, and revenue operations workflows.
  • Develop revenue forecasts, executive and board-level dashboards, pipeline health scoring, predictive analytics, and reporting frameworks.
  • Establish data quality standards and improve lead-to-cash workflows and handoffs across Marketing, Sales, and Customer Success.
  • Build recurring pipeline and revenue reviews and translate operational insights into recommendations for executive decision-making.
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