Revenue Operations Manager

Birdeye AI Coworkers for Multi-Location Brands Birdeye builds AI coworkers for multi-location brands. Jay for marketing, Myna for operations, and Robin for customer experience orchestrate AI agents to win AI visibility, book appointments, and drive consistent CX at every location. They run on BirdAI, the Agent OS built on 13 years of multi-location data infrastructure and 3,000+ integrations. BirdAI consolidates every signal, reasons with industry, brand and location context, and acts autonomously or with a human in the loop. Birdeye is trusted by the world’s largest multi-location brands across healthcare, dental, restaurants, financial services, auto, retail, and property management. G2 ranks Birdeye #1 in Enterprise Multi-Location Marketing Platforms and named it to the 2026 Best Agentic AI Products list. Learn more at birdeye.com. 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. Tagged as: Clari, Data Analysis, Demandbase, Excel, Forecasting, Lead Scoring, n8n, Pipeline Management, Project Management, Python, Salesforce, Salesloft, SQL, Workato, Zapier, ZoomInfo #J-18808-Ljbffr