VP Products, Voice AI

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.

Vice President of Products, Voice AI

Location: United States

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 Vice President of Product to lead, scale, and define our Voice AI vision and organization. This is an executive leadership role combining overarching product strategy, organizational scaling, executive customer engagement, speech technology leadership, and company-wide AI innovation.

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 Executive Strategy & Vision 

• Define and execute overarching vision and strategy, and product roadmap for the entire Voice AI portfolio (including AI receptionists, autonomous phone agents, intelligent call routing, enterprise scheduling, and conversational intelligence platform).
• Establish market-leading standards for how enterprises automate, measure, and transform customer phone interactions at global scale. 
• Develop capabilities around voice resolution rates, latency optimization, call sentiment, transcriptions, competitive benchmarking, prompt engineering, and emerging Voice AI signals.
• Translate complex conversational AI capabilities, real-time voice infrastructure, and massive audio datasets into intuitive enterprise software solutions and business outcomes. 
• Drive ecosystem growth moving beyond automated call handling into end-to-end voice automation, cross-channel proactive customer workflows, and enterprise platform integrations.

Organizational Leadership & Scaling

• Build, mentor, and scale a world-class team of Product Managers, Conversational Designers, and AI Specialists focused on Voice AI solutions.
• Establish product management excellence, operational rigor, and AI-first product development methodologies across the organization.
• Partner closely with executive leadership to align product strategy with company-wide revenue and growth objectives. 

Customer & Market Development

• Serve as an executive sponsor and thought leader for key enterprise accounts, strategic prospects, and industry partners.
• Drive executive customer advisory boards, strategic discovery, and C-level partner engagements 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

• Champion an AI-first product organizational culture, leveraging AI tools across research, market analysis, rapid prototyping, and product operations.
• Oversee rapid prototyping processes and POC frameworks utilizing cutting-edge voice models and LLM frameworks to validate high-impact innovation ahead of the market. 
• Drive systematic AI adoption in product management workflows, establishing standardized evaluation benchmarks, conversational design patterns, and quality frameworks.
• Foster a high-velocity development culture in collaboration with Engineering, employing AI-assisted engineering practices to accelerate product delivery and technical innovation.

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

• 10+ years of product management leadership experience, with a proven track record of scaling product teams and portfolios in Voice AI, Conversational AI, Telephony, CCaaS, or enterprise AI SaaS.
• Proven experience attracting, hiring, managing, and developing high-performing product management teams.
• 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.
• Track record of driving company-wide AI vision, strategy, and rapid prototyping capabilities.
• 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