Staff Product Manager, Invoca

• 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

Desirable

• 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
• 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