Senior Product Manager - Agentic Cloud | India

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Living our values everyday results in our team-first culture and enables us to innovate, grow, and thrive while enjoying the journey together. We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Position Overview

We are seeking a highly entrepreneurial, driven Senior Product Manager to take Five9's Agentic Data Cloud from its initial MVP to a scaled, market-defining platform. You will operate with the scrappy, startup-minded velocity you would bring to a 0-to-1 build, now applied to accelerating what works, ruthlessly cutting what does not, and expanding into the platform's next horizon.

You will own the full product lifecycle: sharpening the roadmap based on real customer feedback from the MVP, closing the gaps between what the platform does today and what enterprise contact centers need it to do, and laying the architectural and strategic groundwork for the capabilities that will define ADC's competitive position over the next two to three years.

You are comfortable operating in the space between early product and scaled platform—where the data is messy, the AI models have real limitations in production, and the right call is rarely obvious. You make decisions with incomplete information, you move fast without losing sight of quality, and you know when to double down versus when to change course.

Strategic Vision & Execution

• Define and execute the product strategy for Five9's Agentic Data Cloud platform—spanning customer data unification, real-time contextual intelligence, AI-powered memory, behavioral analytics, and the data layer that powers intelligent agentic experiences across the contact center.

Navigate Ambiguity

• Handle real-world complexity across contact center data ecosystems—manage limitations of LLMs, vector retrieval, real-time pipelines, identity resolution, and AI inference in production environments, and make critical product decisions even when model behavior is non-deterministic or customer data is inconsistent across sources.

AI Native Product Thinking