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Birdeye is the leading agentic marketing platform for multi-location brands, used by companies like H&R Block, Aspen Dental, and Caesars Entertainment to manage marketing across thousands of locations. The platform uses AI agents to execute work at the location level—responding to reviews, updating listings, publishing content, and driving conversions. Backed by Marc Benioff, Jerry Yang, and Accel-KKR, Birdeye was named to G2's 2026 Best Agentic AI Products list.
You will own the end-to-end deployment of Birdeye's AI and voice solutions, working closely with customers, IT teams, field deployment engineers (FDEs), Product, and Engineering teams. This is a customer-facing implementation and configuration role, not a backend engineering position.
Key responsibilities include:
- Own implementations from kickoff through go-live, managing timelines, milestones, risks, and customer communication
- Execute integration playbooks and coordinate EHR/PMS and third-party integrations
- Configure providers, appointment types, availability, widgets, knowledge bases, and product settings
- Configure AI agents, including workflows, procedures, prompts, guardrails, and customer-specific business rules
- Translate customer requirements into effective agent workflows and experiences
- Coordinate telephony setup and call-forwarding with customer IT/telephony teams
- Lead UAT, end-to-end testing, go-live, and post-launch validation
- Identify risks and technical dependencies early and coordinate resolution with FDE/Engineering
- Maintain accurate implementation documentation and improve implementation playbooks
- Tune voice agent workflows, prompts, procedures, and guardrails based on customer requirements, UAT results, and real-world call behavior
- Conduct regular post-launch call reviews to identify gaps, incorrect responses, workflow issues, and improvement opportunities
This role does NOT own backend tooling, custom backend logic, API building/modification, custom engineering/SOW development, backend security/compliance logic, or engineering-level debugging. These will be identified and coordinated with FDE/Engineering while Implementation owns customer communication, testing, and delivery.
REQUIREMENTS:
- 3–7 years of SaaS implementation, technical onboarding, professional services, or similar experience
- Strong project management and customer-facing communication skills
- Comfortable with integrations, workflows, APIs, and technical concepts
- Comfortable configuring AI/voice agents and translating business requirements into agent workflows
- Strong troubleshooting, analytical, and problem-solving skills
- Experience working with enterprise customers and cross-functional technical teams
- Ability to manage multiple implementations and drive projects to completion
PREFERRED:
- Experience with AI, conversational AI, voice, contact center, or telephony solutions
- Experience with healthcare EHR/PMS platforms
- Experience with UAT and enterprise go-live processes
