Senior Product Manager

Description

About Birdeye

Birdeye is the leading agentic marketing platform for multi-location brands.

Companies like H&R Block, Aspen Dental, and Caesars Entertainment use Birdeye to manage marketing across thousands of locations - from how they get found, to how they convert, to how they retain customers. Our platform replaces disconnected point tools with AI agents that 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 - appearing alongside the world’s leading AI companies. We’re expanding rapidly into enterprise, with growing adoption across large, multi-location brands.

Senior Product Manager, Voice AI

Location: India

Employment Type: Full-time

About the Role

Birdeye is building the next generation of tools that help businesses interact with and serve their customers through Voice AI and automated conversational experiences. We’re looking for a Senior Product Manager to help define and build our Voice AI product line. This is a highly hands-on role combining product strategy, customer engagement, conversational design, speech technology, and AI-native product development. You should understand how businesses are transforming customer communication using AI Receptionists, Voice Agents, Speech-to-Text (STT), Text-to-Speech (TTS), and real-time LLM-driven voice interactions, and be excited about building products in a rapidly evolving category.

What You’ll Own

Voice AI Product Strategy

• Own product strategy and roadmap for Voice AI products (e.g., AI receptionists, phone agents, intelligent call routing, automated scheduling, and conversational analytics).
• Define how businesses automate, measure, and elevate customer phone calls and voice interactions.
• Develop capabilities around voice resolution rates, latency optimization, call sentiment, transcriptions, competitive benchmarking, prompt engineering, and emerging Voice AI signals.
• Turn complex conversational AI behavior, real-time audio streams, and large call datasets into simple, actionable experiences for business operators and marketers.
• Identify opportunities to move beyond basic call handling into proactive voice workflows, automated appointment booking, and multi-channel follow-ups.

Customer & Market Development

• Work directly with enterprise customers to understand how they currently handle inbound/outbound voice communications and customer service calls.
• Lead customer discovery, demos, and working sessions around Voice AI capabilities.
• Identify emerging customer problems before they become obvious product categories.
• Maintain a strong understanding of competitors and adjacent products in the broader Voice AI, CCaaS, IVR automation, and AI Agent ecosystem.
• Separate durable customer needs from short-term trends in a rapidly changing market.

Data & Voice AI Infrastructure

• Work with Engineering and Data teams on the systems required to process, analyze, and optimize real-time audio streams and voice conversations at scale.
• Develop a strong understanding of LLM latency, STT/TTS accuracy, turn-taking, interruption handling, streaming audio protocols, and the challenges of delivering human-like voice experiences reliably.
• Help determine which metrics are meaningful (e.g., containment rate, first-call resolution, voice sentiment, latency, call accuracy) as the Voice AI ecosystem evolves.

Requirements

What You Bring

• 5+ years of product management experience, ideally building products in Voice AI, Conversational AI, Telephony, CCaaS, IVR, or an adjacent SaaS/AI category.
• Experience building software for Automotive, Healthcare, Dental, Home Services a plus
• Strong understanding of Voice AI, STT/TTS models, Voice Agents, LLMs, real-time audio processing, and low-latency architecture.
• Experience building data-driven B2B SaaS products for enterprise customers.
• Strong technical fluency with APIs, data pipelines, analytics, and AI/ML concepts.
• Comfortable working directly with customers and leading product discovery.
• Demonstrated ability to use AI for research, requirements, analysis, prototyping, and POCs.
• Comfortable collaborating with engineers in an AI-assisted development environment.
• Strong product judgment and ability to operate effectively with incomplete information.
• Based in the United States.

Experience That Stands Out

• Voice AI / AI Agents / Conversational AI
• AI Receptionist or Telephony / CCaaS / IVR automation
• Real-time speech processing (STT, TTS, latency tuning)
• Voice analytics, sentiment analysis, and call transcript summarization
• LLM or generative AI products
• Competitive intelligence in AI Voice
• Call routing and automated scheduling workflows
• Enterprise SaaS
• AI-assisted software development and rapid prototyping