Senior Product Manager

Say hello to opportunities.

It’s not everyday that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers. 

RingSense AI is our proprietary AI solution. It’s designed to fit the business needs of our customers, orchestrated to be accurate and precise, and built on the same open platform principles we apply to our core software solutions.
 

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, vis