Product Manager
Lead or senior product manager driving analytics, evaluation, and conversational BI for Netomi’s agentic AI platform, focusing on no-code solutions, customer experience optimization, and data-driven product decisions across enterprise CX use cases.
About the Company:
Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.
Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!
About the role
Netomi is hiring a Lead/Senior Product Manager to own the Analytics, Reporting, and Conversational BI product surfaces in Agentic Studio—the measurement and trust layer that helps enterprises build, operate, and continuously improve agentic customer experiences across chat, mobile, email, messaging, and voice/IVR. In mission‑critical environments (airlines, retail, banking, gaming), analytics is not a “dashboard”; it’s the control plane for reliability, governance, and outcomes. You will lead the productization of end-to-end analytics including real-time operational monitoring, historical reporting, LLM quality/evaluation (autoevals), observability for tool calling and workflows, and Conversational BI (natural language exploration over a governed metrics model). This role requires deep domain fluency in data science, data preparation, analytics systems, and the realities of LLM-driven systems (probabilistic outputs, evaluation, safety/guardrails, and runtime tracing)—combined with strong product craft, design sense, and delivery execution. This is an opportunity to lead with data at the frontier: partnering with internal Data Science and Engineering teams while collaborating with frontier model and cloud ecosystem partners to deliver best-in-class analytics and governance for enterprise agentic AI.
Responsibilities
Define and execute the Analytics/Evals/Governance roadmap with clear sequencing (MVP → v1 → v2) and measurable adoption targets.
Partner deeply with Data Science to productize evaluation methodology (what we score, how we calibrate, how we prevent “gaming,” how we track drift).
Partner with Engineering and Observability teams to standardize telemetry (tool spans, workflow transitions, model calls, cost/latency metrics) and make it usable in product.
Drive a cohesive Agentic Studio UX across Build / Operate / Improve workflows: dashboards, drill-downs, investigation flows, alerts, and remediation actions.
Establish objective success metrics and instrument them end-to-end (data correctness, timeliness, reliability, and customer impact).
Work with Delivery/CS and enterprise partners to ensure analytics is usable for real operational pro
Posted June 18, 2026