Implementation Specialist, AI (Gurugram)

Implementation Specialist, AI (Gurugram)

05 Nov
|
Birdeye
|
Gurugram

05 Nov

Birdeye

Gurugram

About the Role
We are looking for a customer-focused Implementation Specialist to own the end-to-end deployment of Birdeye's AI and voice solutions. This role will work closely with customers, IT teams, FDEs, Product, and Engineering to configure, test, and launch solutions successfully. This is a customer-facing implementation and configuration role, not a backend engineering role.

Key Responsibilities
• Own implementations from kick off through go-live, including 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 other product settings.
• Configure AI agents, including workflows, procedures, prompts, guardrails, and customer-specific business rules.
• Be comfortable understanding customer requirements and translating them 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 continuously improve implementation playbooks.
• Voice Agent Tuning: Continuously tune voice agent workflows, prompts, procedures, and guardrails based on customer requirements, UAT results,



and real-world call behavior to improve accuracy and customer experience.
• Post-Launch Call Reviews: Conduct regular post-launch call reviews to identify gaps, incorrect responses, workflow issues, and opportunities to improve What This Role Does NOT Own
• Backend tooling or custom backend logic
• Building or modifying APIs or engineering tools
• Custom engineering/SOW development
• Backend security/compliance logic
• Engineering-level debugging of backend tooling These requirements will be identified and coordinated with FDE/Engineering, while Implementation owns the customer communication, testing, and delivery. Qualifications
• 3–7 years of SaaS implementation, technical onboarding, skilled 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.

📌 Implementation Specialist, AI (Gurugram)
🏢 Birdeye
📍 Gurugram

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