Why This Job is Featured on The SaaS Jobs
This Product Manager seat sits at a pivotal layer of modern SaaS: the measurement, governance, and trust surfaces that make AI products operable in enterprise environments. In an agentic AI platform used for customer experience across multiple channels, analytics is positioned as the control plane, tying reliability, cost, safety, and outcomes together rather than serving as a retrospective reporting function.
For SaaS professionals, the career value comes from building product fluency in areas that are becoming table stakes across AI-enabled software: telemetry design, multi-tenant analytics correctness, evaluation methodology for probabilistic systems, and operator workflows that support incident response and governance. The remit spans real-time monitoring, historical reporting, and conversational BI over governed metrics, creating transferable experience for roles at data platforms, observability vendors, and AI application companies serving regulated or high-stakes use cases.
This role is best suited to a product leader who enjoys deep cross-functional work with Data Science and Engineering and can translate technical constraints into coherent user experiences. It fits someone motivated by rigorous instrumentation and decision-grade metrics, and who prefers owning a complex product surface with clear operational consequences rather than a feature-by-feature roadmap.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
\n
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 processes: incident response, change management, governance reviews, and quarterly business reviews.
Requirements- Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative/technical field (Master’s a plus).
- 6–10+ years of experience across Product Management and/or Data Science/Analytics leadership, including shipping analytics products to enterprise users.
- Demonstrated depth in: data modeling, telemetry/event schemas, ETL/ELT concepts, and analytics correctness.
- Building operational + business reporting (real-time monitoring and historical analytics).
- Experimentation and measurement design (A/B testing concepts, uplift measurement, cohorting).
- Strong hands-on experience applied to AI/LLM or data science platforms, including at least several of:
- LLM evaluation methods (automated scoring, multi-turn evaluation, calibration).
- Observability for probabilistic systems (quality + latency + cost).
- Tool calling / workflow execution analytics and failure taxonomy.
- Governance measurement (policy outcomes, escalation triggers, compliance reporting).
- Strong product craft: UX and information architecture instincts, ability to design operator workflows, and capability packaging that scales across customers.
Preferred Qualification- Experience building analytics for multi-tenant SaaS and regulated customers (auditability, RBAC, retention controls, privacy-by-design).
- Familiarity with cloud analytics stacks and enterprise BI integration patterns.
- Experience partnering with major cloud and frontier AI vendors (model providers, observability stacks, data platforms) to ship joint capabilities.
- Experience with contact center / CX metrics (containment, resolution, AHT, CSAT, handoff performance) and multi-channel operations (voice + digital).
\n
Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
