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Lead / Senior Product Manager Analytics, Evals & Conversational BI (Agentic Studio) at netomi
netomiToronto , Canada·10h ago
SeniorFull-timeRustRailsData ScienceGitAI
Salary Range
$93,373 - $126,327 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Netomi is hiring a Lead 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. This role requires deep domain fluency in data science, analytics systems, and LLM-driven systems, combined with strong product craft and delivery execution.
Key Responsibilities
- →Define and execute the Analytics/Evals/Governance roadmap with clear sequencing and measurable adoption targets.
- →Partner with Data Science to productize evaluation methodology.
- →Partner with Engineering and Observability teams to standardize telemetry and make it usable in product.
- →Drive a cohesive Agentic Studio UX across Build / Operate / Improve workflows.
- →Establish objective success metrics and instrument them end-to-end.
- →Work with Delivery/CS and enterprise partners to ensure analytics is usable for real operational processes.
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.
- ✓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.
- ✓Strong product craft: UX and information architecture instincts, ability to design operator workflows, and capability packaging that scales across customers.
