$ cat jobs/principal-product-builder-agent-analytics-optimization-conviva-7ac5698d5110.json
Principal Product Builder, Agent Analytics & Optimization
Conviva is the first and best place to understand and optimize digital customer experiences. Our Operational Data Platform harnesses full-census, comprehensive client-side telemetry—capturing every aspect of customer experience and engagement across all devices and linking them to the performance of underlying services, in real-time and at a fraction of the cost of alternative solutions. Conviva computes quality of experience across all users and all devices, in real time. We combine user actions with app and system responses to give your technology, business, and operations teams AI-powered insights into any issues impacting user experience and engagement. Trusted by industry leaders like Disney, NBC, and the NFL, Conviva revolutionizes how businesses understand customer experience and engagement, maximizing satisfaction, conversion, and revenue. This is a Next Generation PM Role . AI has fundamentally changed what it means to build software. The best product people no longer just write specs and hand them off—they prototype, ship, and iterate with AI-powered tools at a pace that was unimaginable two years ago. We're looking for someone who has already crossed that line: a product leader who builds, not just plans. Conviva is the intelligence layer for digital businesses, turning every consumer interaction i nto ou tcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust. The Opportunity AI agents are quickly becoming a new "digital surface" alongside mobile and web. But teams still struggle to answer basic questions: Are my agents working and achieving outcomes? What drives success? How do we optimize behavior, reliability, and user