Home › Companies › Magnify › Customer RevOps Manager
Customer RevOps Manager
Magnify · Seattle, WA · Hybrid · Active · $120,000–$150,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Magnify |
| Title | Customer RevOps Manager |
| Normalized title | - |
| Department / team | GTM / Customer Success |
| Location | Seattle, WA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time/Remote |
| Salary | $120,000–$150,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2025-09-19 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Magnify. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Seattle. | Open |
| Department jobs | Active postings in GTM. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Magnify |
| Source | 395ec5a8-c680-429d-b666-a3f04469aa12 |
| ATS provider | Lever |
Description
Magnify.io is an AI-powered post-sales customer-success orchestration platform. We help software companies turn customer success into a true growth engine by unifying data across CRMs, product analytics, and support systems, then surfacing intelligent insights and automation to drive expansion, retention, and customer delight.
As a Customer RevOps Manager, you’ll be responsible for ensuring new customers are set up for success by owning the end-to-end post-sales onboarding and revenue-operations alignment process. This role emphasizes RevOps expertise, data readiness, with some technical troubleshooting to power Magnify’s machine-learning forecasting. You’ll work closely with Customer Success, Engineering, and our ML team to confirm customers’ internal systems (Salesforce, HubSpot, Gainsight, NetSuite, and others) are accurately configured, data pipelines are clean, and the foundation is in place for intelligent automation and predictive insights.
This is a hybrid technical, operational, and customer-facing role that requires cross-functional coordination and a deep understanding of customer revenue workflows, SaaS metrics, and system integrations.
Magnify.io is an Equal Opportunity Employer and welcomes applicants from all backgrounds.
What You Will Do
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 : 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 to ensure accurate data flows and reporting. 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.
Who You Are
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.
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). Strong project-management skills to coordinate multiple stakeholders and meet milestones. Experience at an early-stage startup is a plus.
Full job record
| Job ID | 9f636202020b2e1039566d6cbd672c48d8af6914 |
| Org ID | a27f6efe-fa1f-447a-a543-9a90708eb48b |
| Source ID | 395ec5a8-c680-429d-b666-a3f04469aa12 |
| Board ID | 395ec5a8-c680-429d-b666-a3f04469aa12 |
| Provider | lever |
| Provider Job Key | 87433067-ba70-4783-b9b2-ed7419fecb96 |
| Title | Customer RevOps Manager |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Seattle, WA |
| Department | GTM |
| Team | Customer Success |
| Employment Type | Full-time/Remote |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | WA |
| City | Seattle |
| Salary Raw | USD 120000-150000 per-year-salary |
| Salary Min | 120,000 |
| Salary Max | 150,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/magnify/87433067-ba70-4783-b9b2-ed7419fecb96 |
| Apply URL | https://jobs.lever.co/magnify/87433067-ba70-4783-b9b2-ed7419fecb96/apply |
| First Seen At | 2026-05-29 06:57:48Z |
| Last Seen At | 2026-06-06 19:56:03Z |
| Last Checked At | 2026-06-06 19:56:03Z |
| Last Changed At | 2026-05-29 06:57:48Z |
| Inactive At | — |
| Source Posted At | 2025-09-19 21:31:57Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=magnify/date=2026-06-06/2026-06-06T19-56-03-166Z-364377947d05d0ba76dd041c82d367f8eff3dbbc4aef12d3040682bb7c64ff90.json |
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