Sr. Agentic Product Manager
J
JobgetherEnterprise AI
Work remotely from CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Between 4 and 10 years of professional experience in Solutions Architecture, Implementation Consulting, Product Consulting, Workflow Design, or a related field within enterprise SaaS or AI platforms.
- Required Skills
- RESTful APIs
Requirements
- Have 4–10 years of professional experience in Solutions Architecture, Implementation Consulting, Product Consulting, Workflow Design, or a related field within enterprise SaaS or AI platforms.
- Have experience designing complex business workflows and technical integrations across enterprise systems.
- Be able to gather and analyze business requirements, translate them into detailed technical specifications, and drive execution through deployment.
- Bring customer-facing consulting experience, including presentation, facilitation, and stakeholder management skills.
- Understand REST APIs, event-driven architectures, data flows, system integrations, and enterprise technology environments.
- Have experience collaborating with Customer Success, Product Management, Engineering, Integration, and Quality Assurance teams.
- Be able to turn complex operational challenges into structured, scalable technical solutions.
- Be able to manage competing priorities, communicate technical trade-offs, and align business objectives with implementation requirements.
- Preferred: Experience with Conversational AI, Agentic AI, RPA, intelligent automation, CRM and ticketing platforms, or LLM-powered products.
- Preferred: Hands-on experience designing business logic, decision trees, orchestration strategies, and automated workflows.
- Preferred: Experience supporting enterprise customers in aviation, BFSI, telecommunications, retail, or large-scale customer support.
Responsibilities
- Lead discovery sessions with enterprise customers to understand processes, workflows, requirements, and constraints.
- Identify automation opportunities and design agentic orchestration strategies for customer experience workflows.
- Develop solution blueprints covering workflows, data exchanges, escalation paths, guardrails, analytics, and AI agent lifecycle management.
- Define end-to-end Agentic AI architectures, including intents, actions, tools, integrations, decision logic, and orchestration.
- Document integration requirements and support Integration Engineers during implementation, troubleshooting, and deployment.
- Translate customer needs into product requirements and technical specifications, and act as product owner through deployment.
- Partner with Quality Assurance to validate solutions, develop test plans, and establish success criteria.
- Review AI agent interactions and outputs to improve user experience, response quality, workflow accuracy, and system performance.
- Advise customer stakeholders, present solution designs, and train teams on agentic workflows and governance.
- Develop reusable playbooks, workflow templates, and integration patterns for customer engagements.
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