Staff Product Manager - Voice AI

About Invoca:

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. By revealing the intent behind every phone call, text, and chat, Invoca drives better customer experiences, increases revenue, and improves operational efficiency. We are a dynamic, fast-growing company with a collaborative culture and a passion for innovation.

Build the Future of AI-Powered Conversations at an Industry Leader

Are you a product leader passionate about shaping the next generation of customer interactions? Do you thrive on the challenge of building something new from the ground up? At Invoca, we are launching a brand-new team dedicated to pioneering our conversational messaging strategy. This is a rare "greenfield" opportunity to define a new product area, blending the agility of a startup with the resources and stability of an established market leader.

About the Team

This new team is pioneering how brands engage with consumers through intelligent, voice-first automation. We’re bringing together engineers, data scientists, and product thinkers to build next-generation Voice AI Agents that conduct meaningful, human-like conversations — driving higher conversion, better customer experience, and measurable revenue outcomes.

About the Role

As a Staff Product Manager, Voice AI, you’ll lead the vision and strategy for Invoca’s Voice AI Agent capabilities — intelligent, autonomous systems that can converse naturally and take purposeful action in real time. You’ll define the roadmap that fuses conversation intelligence, speech synthesis, and large language models (LLMs) with agentic AI frameworks — allowing Invoca’s customers to deploy adaptive agents that act, learn, and optimize continuously.

You’ll report to the VP of AI Product & Strategy as an individual contributor, owning the roadmap for Invoca’s voice automation and AI agent experiences. This is a rare opportunity to define what “agentic AI” means in the context of enterprise-grade, compliant, performance-driven conversation platforms.

How You'll Make an Impact:

• 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.

What You Bring to the Team:

• 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 conver