Senior Product Manager, AI

Say hello to opportunities. If you’re looking to be part of what’s next in communication, you’re in the right place. At RingCentral, we believe the best customer experiences happen when humans and AI work together. Our agentic voice AI portfolio—AIR, AVA, and ACE—brings together automation, assistance, and insights across the entire conversation lifecycle. The result? More seamless, intelligent experiences for businesses everywhere. With $2.5B in ARR and $250M invested in R&D annually, we’re building the future of AI-powered business communications. We’re looking for a strategic and technically savvy Senior Product Manager to lead the development of cutting-edge conversational assistant experiences and the underlying AI agent platform that powers them. This role blends deep expertise in conversational UX with system-level thinking around agent orchestration, platform abstractions, and scalable learning. You'll be at the forefront of shaping human-AI interactions across multiple modalities, while building the foundations that enable rapid experimentation and deployment at scale. What You’ll Do Conversational Assistant Experience Define intelligent agent behaviors, grounded in state-of-the-art NLU/NLP, LLMs, memory, reasoning, and dialog orchestration components. Design modular interfaces for agent creation, prompt engineering, tool/skill chaining, and behavioral tuning. Optimize dialog experiences across voice and digital channels, focusing on flow design, turn-taking, tone, accessibility, and recovery strategies. Apply principles of zero-shot/few-shot prompting, grounding, and task delegation to build contextually aware and capable assistants. AI Platform Development Build scalable, reusable frameworks for agent development, configuration, and lifecycle management across diverse enterprise and consumer use cases. Define abstractions for workflows, policies, and roles, balancing power-user flexibility with no-code/low-code usability. Architect extensible ecosystems through SDKs, APIs, connectors, and plugin marketplaces. Data-Driven Decision Making Leverage interaction data, AI performance metrics, and behavioral analytics to inform product iterations. Partner with design and research teams to gather qualitative feedback and validate hypotheses through A/B testing and experimentation. Drive continuous optimization of conversation quality, agent accuracy, and user satisfaction. Lifecycle & Governance Structure the end-to-end agent lifecycle: creation → deployment → monitoring → continuous learning → versioning. Define permission models, update workflows, rollback procedures, and audit trails to ensure safe, scalable operations. Continuous Learning & Knowledge Modeling Design systems that learn and improve over time through human-in-the-loop feedback and supervision. Collaborate with AI/ML and Knowledge Engineering teams to build semantic frameworks using taxonomy, ontology, and structured labeling. Align product development with scalable evaluation and reinforcement mechanisms. What We’re Looking For Bachelor's degree in Computer Science, Computer Engineering or related field and equivalent practical experience. 4-5 technical product management experience, preferably with AI, ML, or conversational technologies. Deep understanding of LLMs, NLP pipelines, dialog systems, and agent architectures. Strong grasp of conversational UX principles and experience designing natural, intuitive interactions. Proven track record of building platforms or frameworks with a developer or system-level audience. Data fluency: ability to analyze metrics, define KPIs, and translate insights into action. Excellent communication, collaboration, and stakeholder management skills. Bonus: experience in building knowledge graphs, working with ontologies, or designing feedback-driven learning systems What we offer: Comprehensive medical, dental, vision, disability, life insurance Health Savings Account (HSA), Flexible Spe ... (truncated, view full listing at source)