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Senior Product Manager - Autonomous Agents

30 minutes ago
Canada
Full-time
Senior
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
LLM
Apply Now
Netomi

Netomi

Netomi is an AI-first customer service platform revolutionizing customer support with industry-leading resolution rates and multilingual support.

IT Services
51-250
Founded 2015
$52M raised
View All Jobs 29

Description

  • Own the Autonomous Agents roadmap end to end, including discovery, prioritization, specification, delivery coordination, and outcome tracking.
  • Translate enterprise customer and partner needs into product requirements with Customer Success, Delivery, Sales, and RevOps.
  • Partner with Applied Research and Data Science to define evaluation criteria, benchmark programs, and quality gates for agentic AI capabilities.
  • Drive cross-functional alignment across Engineering, QA, and Delivery on scope, dependencies, and launch readiness.
  • Establish instrumentation requirements so shipped agent capabilities can be measured for usage, reliability, and outcomes.
  • Run planning and execution cadences, including quarterly roadmap inputs, monthly scope lock, weekly reviews, and launch sign-offs.
  • Drive post-release learning through monitoring windows, post-incident reviews, and roadmap feedback loops.

Requirements

  • Engineering degree with 5+ years of progressive product management experience.
  • MBA from a Tier 1 institute is a plus.
  • Proven ownership of a complex, multi-surface product area with delivery of technical features to enterprise customers.
  • Deep understanding of conversational AI and agentic systems, including LLM-based reasoning, tool calling, and multi-step task execution.
  • Knowledge of agent orchestration patterns such as supervisor/sub-agent models, planning loops, and human-in-the-loop escalation.
  • Experience with AI evaluation methodologies, including task completion, goal accuracy, regression, and drift.
  • Experience with production observability for AI agents, including tracing, logging, alerting, and failure analysis.
  • Strong technical fluency with APIs, distributed systems, cloud environments, and AI/ML deployment workflows.
  • Excellent stakeholder leadership and executive communication skills, with the ability to drive alignment without direct authority.
  • Customer-first mindset with experience translating enterprise customer needs into actionable product requirements.
  • Experience building or shipping AI agent products at a conversational AI, NLU, or enterprise AI platform company (preferred).
  • Familiarity with agentic frameworks and protocols such as LangChain, LangGraph, Model Context Protocol, OpenAI function calling, and tool-use patterns (preferred).
  • Experience supporting regulated or mission-critical environments such as financial services, airlines/telephony, healthcare, or payments (preferred).
  • Experience working with large SI/partner ecosystems and coordinating enablement and customer success programs (preferred).
  • Background in progressive delivery, incident management, and post-incident learning disciplines (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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