Role Summary

Birdeye is looking for a Revenue Operations Manager to build and scale the systems, workflows, and data that power our go-to-market engine in an AI-first world. This is a role with ideally 5-7 years of experience. We’re looking for a hands-on operator who is comfortable identifying areas of opportunity and bringing solutions to life— someone who defaults to building automated, AI-assisted systems rather than maintaining manual processes and static reports. You'll work closely with go-to-market teams to remove friction across the revenue funnel and drive pipeline forward.

Key Responsibilities

• Administer the core revenue tech stack (Salesforce, Salesloft, Gong, Zoominfo, Clay, Demandbase, etc) to ensure data integrity, process consistency, and scalability across GTM teams.
• Design and build automated workflows using tools such as Clay, Zapier, n8n, or Workato to eliminate manual processes across building and managing sales pipeline.
• Leverage AI tools (Slack, Claude) to build Agents - lead/account scoring models, next-best-action workflows that improve pipeline growth, quality, and rep productivity.
• Build and maintain dashboards and reporting for pipeline health, forecasting, funnel conversion, and quota attainment to support weekly forecast calls and QBR cadences.
• Manage the lead-to-opportunity lifecycle — routing rules, SLAs, lead scoring, and handoffs between Marketing, SDR, and Account Executive teams.
• Partner with Sales, Marketing, and Customer Success leaders to identify manual, repetitive processes and re-platform them as automated, AI-assisted systems.
• Continuously audit and improve agent performance, data hygiene, deduplication, and governance across the CRM and adjacent GTM tools.
• Document SOPs, playbooks, and system/process architecture for the revenue tech stack.
• Evaluate, pilot, and roll out new AI and automation tools that give the go-to-market team a competitive edge.

Requirements

• 5-7 years of experience in Revenue Operations, Sales Operations, or a related GTM systems and analytics role, ideally in B2B SaaS.
• Hands-on administration experience with Salesforce and LLMs.
• Experience building or maintaining automations with tools such as Zapier, or similar middleware/iPaaS platforms.
• Practical, everyday use of AI tools (ChatGPT, Claude, or similar) to build workflows, analyze data, or automate operational tasks.
• Moderate understanding of the B2B sales funnel: lead lifecycle, pipeline stages, forecasting methodology, and quota/attainment metrics.
• Comfortable working with SQL or spreadsheet-level data analysis to validate data quality and build reporting.
• Strong project management skills with the ability to independently scope, build, and ship operational improvements.
• Excellent written and verbal communication skills; able to translate technical systems work for non-technical stakeholders.
• Based in the United States and able to work core U.S. business hours.

Preferred Qualifications

• Experience with sales engagement platforms (Outreach, Salesloft, Gong Engage) and revenue intelligence tools (Gong Forecasting, Clari, Salesforce Revenue Intelligence).
• Exposure to basic scripting or query languages (SQL, Python, or JavaScript) for building custom integrations or automations.
• Experience with lead routing/matching tools (LeanData, RingLead).
• Prior experience in a "GTM Engineer" or hybrid RevOps/technical role.
• Familiarity with data enrichment and intent tools (Clay, ZoomInfo, Apollo, Clearbit).

Work Schedule

This role requires overlap with core U.S. business hours to support real-time collaboration with Sales, Marketing, and Customer Success.