Remote Revenue Ops Analyst (Contract)

Synthires; California; Remote; USD 55,000 - 117,000; Full time

Job summary

Synthires is seeking experienced Sales, Revenue, and Customer Success Operations professionals for a remote, contractor role to support an AI training initiative. You will analyze CRM configurations, design workflows, resolve policy conflicts, and diagnose data quality issues using practical industry expertise.

No AI background required; hands-on CRM setup and cross-tool experience are essential. Collaboration with Sales and Customer Success teams will be key to ensure accurate, scalable

Qualifications

• 4+ years hands-on experience in Sales Operations, Revenue Operations, or Customer Success Operations within SaaS.
• Direct experience configuring and maintaining a CRM platform such as Salesforce, HubSpot, or an equivalent system.
• Hands-on experience with at least two connected tools outside the CRM (quoting, billing, ticketing, or project tracking).
• Ability to explain decisions clearly to both technical and non-technical audiences.

Responsibilities

• Analyze CRM configuration, workflow design, and system integration decisions.
• Explain the reasoning behind operational decisions and evaluate trade-offs.
• Resolve conflicts between operational policies and indicate which rules take precedence.
• Diagnose data accuracy issues across connected systems and identify root causes of discrepancies.
• Explain factors that influence workflow adoption among Sales and Customer Success teams.
• Identify ambiguous or incomplete scenarios and avoid unsupported assumptions.

Skills

Sales Ops

Revenue Ops

Customer Success Ops

CRM configuration

Data quality

Policy decision making

Stakeholder communication

Tools

Salesforce

HubSpot

Quoting tools

Billing systems

Ticketing tools

Project tracking

Job description

Synthires is seeking experienced Sales, Revenue, and Customer Success Operations professionals for a remote, contractor role to support an AI training initiative. You will analyze CRM configurations, design workflows, resolve policy conflicts, and diagnose data quality issues using practical industry expertise.

No AI background required; hands-on CRM setup and cross-tool experience are essential. Collaboration with Sales and Customer Success teams will be key to ensure accurate, scalable