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Netomi

Enterprise AI for autonomous customer service

Senior Agentic Product Manager

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listedRemote

About the Job

Requirements

  • Four to ten years of experience in solutions architecture, implementation consulting, product consulting, or workflow design for enterprise software-as-a-service or artificial intelligence platforms.
  • Experience designing complex workflows and integrations across enterprise systems.
  • Ability to gather requirements, translate them into technical specifications, and drive execution.
  • Customer-facing consulting experience.
  • Understanding of representational state transfer application programming interfaces, event-driven systems, data flows, and enterprise integrations.
  • Experience working cross-functionally with customer success management, engineering, product, and quality assurance teams.

Responsibilities

  • Lead discovery sessions with enterprise customers to understand business processes, operations, workflows, key performance indicators, and constraints.
  • Identify automation opportunities and design agentic orchestration strategies using Netomi’s artificial intelligence platform.
  • Build detailed solution blueprints covering workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design.
  • Define end-to-end agentic artificial intelligence architectures covering intents, actions, tools, integration points, and decision logic.
  • Work with customer technical teams to map integration dependencies, including application programming interfaces, events, single sign-on, customer relationship management systems, ticketing systems, and internal tools.
  • Own the creation of integration design documents and support integration engineers during implementation.
  • Ensure agent workflows comply with enterprise standards for security, reliability, audit, and governance.
  • Collaborate with product and engineering teams to translate customer requirements into features or enhancements.
  • Serve as product owner during deployment by driving priorities, clarifications, acceptance criteria, and workflow evolution.
  • Validate solution behavior end-to-end with quality assurance and guide test plans, scenario tests, and success criteria.
  • Conduct user-experience reviews of agent outputs and tune agent behavior.
  • Act as a trusted advisor to customer stakeholders in customer experience, operations, digital transformation, and engineering.
  • Present architectural recommendations, best practices, and roadmap suggestions.
  • Train customer teams on agentic workflows, governance, and performance improvement strategies.
  • Ensure projects are delivered on time, with high quality, low rework, and measurable impact.
  • Drive continuous improvement through playbooks, reusable workflow templates, and integration patterns.
  • Maintain deep expertise in agentic artificial intelligence, large language models, workflow orchestration, and enterprise systems.

Desired Qualifications

  • Background in conversational artificial intelligence, agentic artificial intelligence, robotic process automation, automation, customer relationship management or ticketing systems, or large-language-model-based products.
  • Hands-on experience defining business logic, decision trees, or automated workflows.
  • Experience with enterprises in airlines, banking, financial services and insurance, telecommunications, retail, or large-scale customer support environments.

About the Company

Netomi

Enterprise AI for autonomous customer service

Netomi provides an enterprise AI platform that automates and optimizes customer service for large-scale, regulated industries. Its agentic AI watches real-time customer journeys and proactively resolves issues across chat, email, messaging, and voice, often without human help. The platform combines proprietary natural language understanding with no-code workflow automation, enabling rapid deployment and seamless integration with legacy systems, and it offers Auto-pilot for autonomous resolution and Co-pilot to assist human agents. It handles very high request volumes, maintains strong security standards (ISO 27001, SOC2, GDPR), and partners with Adobe to embed AI into software layers, aiming to reduce support costs and improve customer satisfaction.

Company size
201-500
Company stage
Series C
Total funding
$147.5M
Headquarters
San Mateo, CA
Founded
2016

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