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Revenue Operations Manager

Job in Newton, Middlesex County, Massachusetts, 02165, USA
Listing for: Savant Recruitment
Full Time position
Listed on 2026-02-12
Job specializations:
  • Business
    Business Systems/ Tech Analyst, Business Continuity, Data Analyst
  • IT/Tech
    Business Systems/ Tech Analyst, Business Continuity, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Our client is looking for a Revenue Operations Manager to play a critical role in driving growth by ensuring marketing, sales, and customer on-boarding teams are operating at peak efficiency. You'll own and optimize the Hub Spot ecosystem, lead cross-functional revenue projects, and build scalable systems and processes that help meet ambitious goals.

Key Responsibilities
  • Hub Spot Ownership:
    Administer and optimise Hub Spot CRM across marketing, sales, and customer on-boarding. Ensure data integrity, automation, and accurate reporting.
  • Process Optimisation:
    Map, analyse, and improve workflows to eliminate friction, find efficiencies, implement automation where possible, and improve customers experience.
  • Data & Reporting:
    Build dashboards and reports to provide visibility into pipeline, funnel metrics, campaign performance, and forecast accuracy.
  • Lead Management:
    Improve lead scoring, routing, and SLAs between marketing and sales to maximise conversion.
  • Revenue Insights:
    Provide strategic insights to the business leadership around performance trends, bottlenecks, and growth opportunities.
  • Tool & Tech Stack Management:
    Evaluate, integrate, and manage revenue-related tools to enhance team efficiency.
  • Cross-functional Collaboration:

    Partner with Sales, Marketing, and Customer On-boarding to ensure alignment and accountability across the revenue engine.

3+ years in Revenue Operations ideally in a SaaS or tech environment.

Deep experience with Hub Spot (Must have) - both strategic and hands- on.

Strong analytical skills with the ability to extract actionable insights from complex data.

Highly experienced in Microsoft package particularly Excel and Power

BI.

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