Remote Revenue Ops Analyst — US/Canada Contract

Synthires

New York (NY)

Remote

USD 55,000 - 117,000

Full time

37 hours ago
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Job summary

Synthires is seeking experienced Sales, Revenue, and Customer Success Operations professionals for an AI training initiative. The role focuses on evaluating realistic SaaS operations scenarios, making sound workflow and configuration decisions, resolving policy conflicts, and diagnosing data quality issues using practical industry expertise.

No prior AI experience is required. Candidates must have hands-on CRM configuration experience and practical knowledge of connected revenue and customer

Qualifications

  • 4+ years in SaaS Sales/Revenue or Customer Success ops.
  • Hands-on CRM configuration experience.
  • Experience with two external tools beyond the CRM.
  • Ability to resolve policy conflicts with clear judgments.
  • Strong data accuracy, reporting, and integration knowledge.
  • Ability to explain decisions to tech and non-tech audiences.

Responsibilities

  • Analyze CRM configuration, workflow design, and system integration decisions.
  • Explain the reasoning behind operational decisions and evaluate trade-offs.
  • Resolve policy conflicts by identifying precedence and justifications.
  • Diagnose data accuracy issues across connected systems and data definitions.
  • Identify root causes of operational and reporting discrepancies.
  • Explain factors influencing workflow adoption by Sales and Customer Success teams.
  • Flag ambiguous or incomplete scenarios and avoid unsupported assumptions.

Skills

CRM configuration
Sales ops
Revenue ops
Customer success ops
Data accuracy
System integrations

Tools

Quoting software
Billing software
Ticketing system
Project tracking

Job description

Synthires is seeking experienced Sales, Revenue, and Customer Success Operations professionals for an AI training initiative. The role focuses on evaluating realistic SaaS operations scenarios, making sound workflow and configuration decisions, resolving policy conflicts, and diagnosing data quality issues using practical industry expertise.

No prior AI experience is required. Candidates must have hands-on CRM configuration experience and practical knowledge of connected revenue and customer

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