Magnify

Customer Revenue Operations Manager

Magnify

full-time

Posted on:

Origin:  • 🇺🇸 United States • Washington

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Salary

💰 $120,000 - $150,000 per year

Job Level

Mid-LevelSenior

Tech Stack

SQL

About the role

  • Lead Customer Onboarding: Drive discovery with customers’ RevOps/data teams from kickoff to full onboarding, ensuring a smooth handoff from Sales to Customer Success.
  • Align Revenue Operations: Translate RevOps use cases into implementation plans, aligning Magnify to each customer’s revenue reporting logic, forecasting strategy, and segmentation rules.
  • Configure & Troubleshoot Systems: Collaborate with backend developers to triage integration issues; read and interpret SQL queries to validate data and troubleshoot discrepancies.
  • Consultative Sysadmin: Work with customer RevOps to troubleshoot GTM integrations and provide light CRM/CS admin support (Salesforce, HubSpot, Gainsight), configuring fields, metrics, and dashboards.
  • Refine Processes: Continuously improve onboarding playbooks and implementation templates; share best practices with CS and Product teams.
  • Customer Advocacy: Maintain a feedback loop with Product and Engineering to champion customer needs and improve implementation tools and workflows.

Requirements

  • 4–6 years in RevOps, Technical Account Management, Customer Success Operations, or similar hybrid roles within SaaS or data-driven platforms.
  • Strong RevOps background with direct forecasting and revenue-metrics experience.
  • Hands-on experience administering or configuring systems such as Salesforce, HubSpot, NetSuite, or Gainsight.
  • Ability to read and troubleshoot SQL queries (basic query writing a plus).
  • Familiarity with APIs, authentication methods (OAuth, token-based), and modern data integration tools (Airbyte, Fivetran, Census, etc.).
  • Strong project-management skills to coordinate multiple stakeholders and meet milestones.
  • Experience at an early-stage startup is a plus.
  • RevOps-Fluent: Strong understanding of SaaS revenue operations—pipeline, ARR/TCV/ATV metrics, forecasting strategies, churn/expansion logic.
  • Technically Savvy: Comfortable with SQL syntax, API concepts, and troubleshooting integrations; able to interpret queries and spot data issues.
  • Customer-First Communicator: Professional presence with the ability to build trust and engage both leadership and technical stakeholders.
  • Cross-Functional Operator: Skilled at aligning Sales, CS, Data Science, and Engineering toward shared outcomes.
  • Growth-Minded: You learn quickly, embrace challenges, and thrive in a fast-paced startup environment.
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