About the Role
As an Agentic Product Manager at Netomi, you will be the strategic and technical owner responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers. You will translate complex business processes into AI-driven workflows, define integration blueprints, and guide customers through their transformation to autonomous AI agents.
You will work closely with Customers, CSM, Integration Engineers, QA, Product, and Engineering to ensure end-to-end success of every deployment.
Responsibilities
Lead discovery sessions with enterprise customers to understand business processes, operations, workflows, KPIs, and constraints.
Identify automation opportunities and design agentic orchestration strategies using Netomi’s AI platform.
Build detailed solution blueprints — 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.
Work with customer technical teams to map integration dependencies (APIs, events, SSO, CRMs, ticketing systems, internal tools).
Own the creation of integration design documents and support Integration Engineers during implementation.
Ensure agent workflows comply with enterprise standards (security, reliability, audit, governance).
Collaborate with Product & Engineering to translate customer requirements into features or enhancements.
Serve as the product owner during deployment — driving priorities, clarifications, acceptance criteria, and workflow evolution.
Validate solution behavior end-to-end with QA and guide test plans, scenario tests, and success criteria.
Conduct user-experience reviews of agent outputs and behavior tuning.
Act as a trusted advisor to customer stakeholders (CX, Ops, Digital Transformation, 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 AI, LLMs, workflow orchestration, and enterprise systems.
Requirements
4–10 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI 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 with strong communication & facilitation skills.
Understanding of REST APIs, event-driven systems, data flows, and enterprise integrations.
Experience working cross-functionally with CSM, engineering, product, and QA teams.
Nice-to-Have
Background in Conversational AI, Agentic AI, RPA, Automation, CRM/Ticketing, or LLM-based products.
Hands-on experience defining business logic, decision trees, or automated workflows.
Experience with enterprises such as airlines, BFSI, telecom, retail, or large-scale customer support environments.
