Staff Product Manager - Voice AI

Invoca is the leading AI-powered conversation intelligence platform that enables marketing, sales, customer experience, and contact center teams to understand and act on the information within every customer interaction. They are seeking a Staff Product Manager for Voice AI to lead the vision and strategy for their Voice AI Agent capabilities, defining the roadmap for intelligent, autonomous systems that can converse naturally and take purposeful actions in real time.

Responsibilities:

• Define and execute Invoca's Voice AI Agent roadmap, delivering scalable, intelligent, and compliant voice automation for real-world business outcomes
• Partner with engineering and data science teams to integrate agentic AI patterns — systems that autonomously manage and optimize conversational flows using contextual and goal-based reasoning for Voice Agents
• Drive the definition, design, and evolution of agent behavior and prompting strategy — partnering with Conversational AI, Data Science, and Engineering teams to deliver agentic use cases for lead capture, qualification, scheduling, and customer support that feel intelligent, trustworthy, and on-brand
• Influence Invoca's approach to AI governance, reliability, and human oversight — ensuring that Voice AI systems are transparent, compliant, and trustworthy
• Translate customer and market insights into Voice AI strategy and prioritize capabilities that align with Invoca's multi-channel platform (Phone, SMS, Webchat)
• Collaborate with GTM and enablement teams to position Voice AI products for high adoption and measurable ROI
• Lead full-lifecycle product management: discovery, design, roadmap execution, launch, and iteration based on performance metrics
• Stay current on advancements in Voice AI, agent orchestration, and emerging best practices in conversation design — and translate those into Invoca's product roadmap
• Evaluate and partner with vendors in speech recognition, real-time inference, and agentic orchestration platforms
• Define success metrics and continuously measure product impact through data, experimentation, and feedback loops

Requirements:

• A minimum of 7 years of experience in product management, or equivalent demonstrated expertise, with B2B SaaS or enterprise AI experience preferred
• A minimum of 2 years of experience in conversational AI, voice assistants, or agent-based systems (autonomous or semi-autonomous), or demonstrated equivalent expertise
• Strong foundational knowledge of agentic AI concepts and comfort working with AI research and engineering teams on model behavior, orchestration, and optimization. This includes understanding the principles behind goal-driven, tool-using AI systems, such as orchestration, planning, safety layers, and reinforcement loops
• Familiarity with modern AI orchestration frameworks (e.g., LangChain, OpenAI ReAct) or related tooling used to build adaptive conversational systems
• Strong understanding of conversational AI technologies — including speech (ASR, TTS) and language (NLU, LLMs) — and how they drive user experience and business outcomes
• Experience defining and launching AI-driven products that balance innovation with compliance, reliability, and performance
• Ability to communicate complex AI concepts clearly and influence both technical and business stakeholders
• Excellent problem-solving, analytical, and strategic thinking skills
• Familiarity with contact center AI, telephony systems (SIP, Twilio, Voximplant), or real-time inference pipelines