Senior Product Manager, Voice AI

Birdeye; Gurugram District; Presencial; INR 500.000 - 900.000; Jornada completa

Descripción de la vacante

Birdeye is seeking a Product leader for Voice AI to own strategy and roadmap across AI receptionists, call routing, and analytics. You will collaborate with enterprise customers to understand voice workflows and translate insights into scalable features.

The role focuses on building data-driven B2B SaaS products, leveraging LLMs, STT/TTS, and low-latency architectures. You will work closely with engineering and sales to accelerate adoption across multiple industries.

Formación

• 5+ years of product management experience in Voice AI or related SaaS.
• Experience building data-driven B2B SaaS products for enterprise customers.
• Strong knowledge of Voice AI, STT/TTS models, LLMs, real-time audio processing, and low-latency architecture.
• Experience using AI for research, requirements, analysis, prototyping, and POCs.

Responsabilidades

• 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, benchmarking, prompt engineering, and emerging Voice AI signals.
• Turn complex conversational AI behaviour and real-time audio streams into simple, actionable experiences for operators and marketers.
• Identify opportunities to move beyond basic call handling into proactive voice workflows and multi-channel follow-ups.

Conocimientos

Product management

Voice AI domain knowledge

APIs & data pipelines

AI/ML concepts

Customer discovery

Cross-functional collaboration

Strategic thinking

Herramientas

Voice frameworks

AI development tools

Descripción del empleo

About Birdeye

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.

About Birdeye

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.

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 behaviour, 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.

AI-Native Product Development

• Use AI extensively for research, market analysis, competitive intelligence, data analysis, prompt engineering, conversational flow design, and product discovery.
• Rapidly build POCs and prototypes using AI-assisted development tools and voice frameworks to validate ideas before committing engineering resources.
• Use AI to create PRDs, call flows, conversational trees, evaluation benchmarks, acceptance criteria, test cases, and edge cases.
• Work closely with engineers in an AI-led development environment, using AI coding and testing tools to explore technical approaches and accelerate execution.

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, 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.

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, or Home Services is 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.