Lead/Senior Product Manager – Analytics, Evals & Conversational BI

🕒 January 12

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Netomi

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $30M Series B on 2021-11

Artificial Intelligence • Enterprise • SaaS

Netomi is a company that specializes in providing AI-powered customer experience solutions. Their platform, known as Agentic OS, is designed for enterprise-scale customer service and integrates seamlessly with existing business systems. Netomi's solutions leverage generative AI and large language models to automate over 80% of customer inquiries, enhance customer satisfaction, and reduce support costs. Netomi is trusted by global brands across various industries, offering secure, proactive, and predictive customer care through omnichannel support, including email, chat, messaging, SMS, social media, search, and voice. The company ensures compliance with stringent security standards and data protection regulations.

📋 Description

• 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.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development