Job Title

At Ringg AI, we are building the operating system for AI-led business communication. We help businesses deploy voice agents that actually work in production across calls, WhatsApp, actions, workflows, analytics, and memory. Not toy demos. Not a thin wrapper. Real systems that handle real customer journeys at scale. We are looking for a Senior Product Manager  who wants to work on the hard parts of AI products. This is not a generic SaaS PM role. You will help shape how multimodal agents are built, evaluated, measured, packaged, and shipped for enterprises. You should be excited by questions like: How do we know an agent is actually good? What should enterprises see in analytics beyond call counts and average duration? How do voice, chat, memory, actions, and workflow logic come together as one product? How do we package deeply technical capabilities into something customers can understand, buy, and scale? What you’ll ownYou will drive some of the most important product surfaces at Ringg: Evals Build the systems that help customers and internal teams understand whether an AI agent is performing well. This includes quality measurement, flow adherence, tool-use correctness, conversation outcomes, guardrails, and operational reliability. Analytics Shape the analytics layer across conversations, resolution, quality, latency, costs, and business outcomes. You will help define what customers should track, what internal teams need to debug, and what proves ROI. Multimodal agent packaging Take our voice, WhatsApp, memory, actions, and workflow capabilities and turn them into a clear, usable, lovable product. This means deciding what should feel configurable, what should feel automatic, and how the full system should come together for enterprise users. Core product strategy Work closely with founders, engineering, design, AI, and deployments to define the roadmap and make strong product calls in a fast-moving space. What the role looks likeYou will: Own product strategy and execution across evals, analytics, and multimodal orchestration Translate messy enterprise workflows into clean product abstractions Talk to customers, observe failure modes, and turn field learning into roadmap decisions Work closely with engineering and design to ship products that are technically strong and easy to use Define metrics that matter for both customer success and internal product health Help Ringg decide what becomes a platform capability versus a custom implementation Bring structure to a fast-moving product surface without slowing it down Who should applyYou’ll likely do well here if: You have 5+ years of product experience You have worked on B2B SaaS, AI products, developer tools, workflow software, analytics products, or platform products You are good at taking complex systems and making them usable You care about product taste, but you are equally comfortable going deep into metrics, edge cases, and execution You can work across ambiguity and still make crisp decisions You enjoy spending time with customers and extracting signal from chaos You are excited by AI, but not hypnotized by demos Bonus points ifYou have worked on conversation products, copilots, automation, agent systems, or evaluation frameworks You understand what makes analytics truly useful instead of decorative You’ve built products where packaging and positioning mattered as much as raw capability You have a technical bent and can work closely with engineers on system behavior, instrumentation, and reliability Why this role is interestingMost AI product roles today are about adding AI to existing software. This role is different. You’ll help define how enterprises actually use AI agents in production. You’ll work on quality, visibility, control, and product packaging for a category that is still being written in real time. You will have real ownership. You will work closely with the founders. You will build things customers touch, teams depend on, and the company can scale on. And yes, you’ll get to work on some genuinely hard product problems with very little theatre.