Revenue Operations Analyst (Remote) at TRM Labs

About the Role

We are seeking a Revenue Operations Analyst to expand RevOps’ execution capacity across automation, systems integration, and analytics. This is a hands-on builder role focused on shipping production-grade workflows that reduce manual CRM burden, improve GTM data reliability, and increase seller productivity as we scale.

In this role, you will combine process automation (workflow orchestration and scripting), deep GTM tech stack fluency (CRM and adjacent tools), and data analysis (SQL + dashboards) to help teams move faster with cleaner, more trustworthy revenue operations.

Responsibilities

• Workflow Automation: Identify manual GTM processes and build production-grade automation workflows (e.g., n8n, Python, custom scripts) that scale.
• AI & Systems Integration: Support AI-powered workflows and cross-system integrations across Salesforce, enrichment tools, forecasting systems, and CS platforms (APIs, webhooks, and modern integration patterns).
• Tool Optimization: Improve performance and configuration of core GTM systems, including Salesforce, BoostUp, Nue (CPQ), Groove, and related tooling.
• Reporting & Data Reliability: Strengthen forecast hygiene, CRM data integrity, and reporting accuracy to enable real-time GTM visibility.
• Rapid Experimentation: Partner with SDR and Sales leadership to scope, ship, and iterate on outbound automation experiments quickly.
• Cross-Functional Collaboration: Work closely with SDR, Sales, Customer Success, and RevOps stakeholders to implement scalable process improvements.

Qualifications

• 2+ years of experience in Revenue Operations, Sales Operations, or a similar GTM systems role.
• Process automation expertise: Experience with tools like n8n, Python, and/or custom scripting, including building and maintaining scalable workflows.
• Tech stack knowledge: Hands-on experience with GTM platforms such as Salesforce, HubSpot, Pipedrive, Apollo, Clay, and similar tools.
• Integration fluency: Strong understanding of cross-system integrations (APIs, auth, webhooks, data sync patterns, and modern orchestration approaches such as MCP servers).
• Data analysis strength: Proficiency with SQL, plus experience building dashboards and reporting in tools like Metabase, Looker, Power BI, or Tableau.
• Ability to translate data into operational insights and clear recommendations.
• Comfortable operating independently in a fast-paced, high-ownership environment.