Revenue Operations Manager

Birdeye • Coppell, TX

2d

About The Position

Birdeye is seeking a hands-on Revenue Operations Manager to build and scale the systems, workflows, and data that support its go-to-market engine in an AI-first environment. The role focuses on identifying operational opportunities and delivering automated, AI-assisted solutions rather than relying on manual processes and static reports. The manager works closely with go-to-market teams to reduce friction across the revenue funnel and advance pipeline. The position is intended for someone with ideally 5–7 years of relevant experience and requires being based in the United States and working core U.S. business hours.

Requirements

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

Nice To Haves

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

Responsibilities

• Administer the core revenue technology stack, including Salesforce, Salesloft, Gong, ZoomInfo, Clay, and Demandbase, to maintain data integrity, process consistency, and scalability across go-to-market teams.
• Design and build automated workflows with tools such as Clay, Zapier, n8n, or Workato to eliminate manual sales pipeline processes.
• Use AI tools, including Slack and Claude, to build agents such as lead and account scoring models and next-best-action workflows that improve pipeline growth, quality, and representative productivity.
• Build and maintain dashboards and reporting for pipeline health, forecasting, funnel conversion, and quota attainment in support of weekly forecast calls and quarterly business reviews.
• Manage the lead-to-opportunity lifecycle, including routing rules, service-level agreements, lead scoring, and handoffs between Marketing, SDR, and Account Executive teams.
• Partner with Sales, Marketing, and Customer Success leaders to identify repetitive manual 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 related go-to-market tools.
• Document standard operating procedures, playbooks, and system and process architecture for the revenue technology stack.
• Evaluate, pilot, and roll out new AI and automation tools for the go-to-market team.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed