Own the end-to-end product strategy for Zendesk's voice AI agents, from vision and roadmap to zero-to-one market delivery
Lead deep customer and market discovery to identify voice-specific opportunities and translate insights into product requirements
Champion voice UX excellence, partnering with product design to create intuitive conversational experiences
Collaborate with AI researchers and engineers to integrate speech technologies while optimizing for real-time performance
Define and track success metrics across adoption, latency, user satisfaction, and automation efficacy
Build strong cross-functional partnerships with Engineering, AI Research, Customer Success, and GTM teams to ensure cohesive execution and market readiness
Implement continuous discovery and development practices, maintaining high product quality through iterative testing and data-driven refinement
Attend local office part of the week as part of hybrid team-level schedule
Requirements
Several years product management experience with 2+ years building AI-powered or voice products in B2B SaaS
Track record leading cross-functional teams through zero-to-one product development
Strong discovery and data-driven mindset with demonstrated user-focused outcomes
Exceptional communication skills to align stakeholders and articulate complex voice AI value propositions
Deep knowledge of voice technology (telephony, SIP, VoIP, ASR/TTS) and real-time UX performance factors (bonus)
Experience with LLM capabilities in voice contexts (bonus)
Background in customer service or CX product development (bonus)
Experience establishing leadership within domain and driving adoption
Strong technical background and professional experience developing and maintaining complex architectures
Proven track record of successfully managing and motivating engineering teams
Experience scaling teams and leading engineering teams through change
Experience working in collaborative teams, leveraging practices like pair programming and code reviews
Strong expertise in iterative development and balancing risks
Commitment to Quality and understanding of maintaining it within complex architectures and software designs