Sr. Agentic Product Manager
N
NetomiAgentic AI
Toronto, CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4–10 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI platforms.
- Required Skills
- RESTful APIs
Requirements
- Have 4–10 years in Solutions Architecture, Implementation Consulting, Product Consulting, or Workflow Design for enterprise SaaS or AI platforms.
- Have experience designing complex workflows and integrations across enterprise systems.
- Be able to gather requirements, translate them into technical specifications, and drive execution.
- Have customer-facing consulting experience and strong communication and facilitation skills.
- Understand REST APIs, event-driven systems, data flows, and enterprise integrations.
- Have experience working cross-functionally with CSM, engineering, product, and QA teams.
- Conversational AI, Agentic AI, RPA, automation, CRM/ticketing, or LLM-based product experience is a plus.
- Hands-on experience defining business logic, decision trees, or automated workflows is a plus.
- Experience with airlines, BFSI, telecom, retail, or large-scale customer support environments is a plus.
Responsibilities
- Lead enterprise customer discovery sessions to understand business processes, workflows, KPIs, and constraints.
- Identify automation opportunities and design agentic orchestration strategies using Netomi’s AI platform.
- Create solution blueprints covering workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design.
- Define end-to-end Agentic AI architectures covering intents, actions, tools, integration points, and decision logic.
- Map integration dependencies with customer technical teams and create integration design documents.
- Support Integration Engineers during implementation and serve as product owner during deployment.
- Collaborate with Product, Engineering, and QA on customer requirements, acceptance criteria, test plans, and solution validation.
- Review agent user experience and tune agent outputs and behavior.
- Advise customer stakeholders, present architectural recommendations, and train customer teams on workflows and governance.
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