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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 company is expanding rapidly into enterprise with backing from Marc Benioff, Jerry Yang, and Accel-KKR, and was named to G2's 2026 Best Agentic AI Products list.
As VP of Product for Voice AI, you will lead, scale, and define the Voice AI vision and organization. This is an executive leadership role combining product strategy, organizational scaling, executive customer engagement, speech technology leadership, and company-wide AI innovation.
Key responsibilities include:
**Voice AI Strategy & Vision**: Define and execute the overarching vision, strategy, and product roadmap for the entire Voice AI portfolio, including AI receptionists, autonomous phone agents, intelligent call routing, enterprise scheduling, and conversational intelligence platforms. Establish market-leading standards for how enterprises automate and measure 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 and real-time voice infrastructure into intuitive enterprise software solutions.
**Organizational Leadership**: Build, mentor, and scale a world-class team of Product Managers, Conversational Designers, and AI Specialists. Establish product management excellence, operational rigor, and AI-first product development methodologies. Partner 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 and strategic prospects. Drive executive customer advisory boards, strategic discovery, and C-level partner engagements. Identify emerging customer problems and maintain strong competitive intelligence in the Voice AI, CCaaS, IVR automation, and AI Agent ecosystem.
**AI-Native Product Development**: Champion an AI-first product culture, leveraging AI tools across research, market analysis, rapid prototyping, and product operations. Oversee rapid prototyping and POC frameworks utilizing cutting-edge voice models and LLM frameworks. Drive systematic AI adoption in product management workflows and foster a high-velocity development culture.
**Data & Infrastructure**: Work with Engineering and Data teams on systems required to process, analyze, and optimize real-time audio streams and voice conversations at scale. Develop understanding of LLM latency, STT/TTS accuracy, turn-taking, interruption handling, and streaming audio protocols. Help determine meaningful metrics such as containment rate, first-call resolution, voice sentiment, and latency.
**Requirements:**
- 10+ years of product management leadership experience with 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
- Must be based in the United States
**Preferred Experience:**
- Voice AI, AI Agents, or Conversational AI
- AI Receptionist, Telephony, CCaaS, or 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 and AI-assisted software development
