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Manager of Product Delivery and AI Enablement

6 hours, 5 minutes ago
United States, Canada
Full-time
Lead
Program Manager
Product Management
Agile CI/CD Git JIRA Kubernetes OpenShift REST API
Apply Now

CGS Immersive

CGS Immersive describes itself as an innovation lab and training transformation engine focused on modernizing corporate learning with AI, XR/AR, immersive learning, simulations, and roleplay. It helps organizations improve onboarding, upskilling, compliance, leadership development, and frontline readiness.

Enterprise learning
5001-10000
View All Jobs 3

Description

  • Lead product delivery across a portfolio of web applications and align business outcomes, user needs, technical constraints, roadmaps, release plans, and dependencies.
  • Own Jira backlog quality and delivery discipline by turning ambiguous needs into epics, user stories, acceptance criteria, and measurable outcomes.
  • Coordinate release-train planning and execution across Product, Design, Engineering, Data, Security, Operations, and business stakeholders.
  • Partner with engineering leaders on CI/CD flow, environments, testing, release criteria, observability, incident learning, and continuous improvement.
  • Use AI coding agents and rapid-development tools to build prototypes and proofs of concept that clarify requirements and validate workflows.
  • Configure and manage production AI agents, skills, MCP connections, and reusable workflows that improve product and delivery processes.
  • Design AI-assisted workflows with guardrails, human approval points, failure handling, auditability, and rollback paths.
  • Define evaluation criteria and operating measures for AI workflows, including quality, reliability, safety, latency, cost, adoption, cycle time, and business impact.
  • Use code, logs, architecture diagrams, API documentation, and data models to diagnose issues and improve product decisions.
  • Create reusable standards, playbooks, templates, and enablement to help teams adopt AI responsibly and consistently.

Requirements

  • 3+ years of experience in technical product management, digital product delivery, or comparable technical product leadership across multiple products or teams.
  • Experience delivering complex web applications or enterprise products through the full software development lifecycle.
  • Current hands-on experience using AI coding agents and AI-assisted development tools to build prototypes, investigate issues, or accelerate delivery.
  • Experience configuring agents, reusable skills, and MCP or comparable tool/API connections.
  • Strong understanding of agent behavior and failure modes, including context management, tool calling, permissions, prompt injection, data exposure, non-determinism, hallucination, and unsafe actions.
  • Experience defining guardrails and human oversight for production AI workflows, including approval gates, least privilege, logging, testing, monitoring, exception handling, and rollback mechanisms.
  • Working knowledge of web application architecture, REST APIs, data flows, authentication and authorization, cloud environments, and integration patterns.
  • Fluency with CI/CD concepts, source control and branching practices, testing stages, environments, release controls, observability, and incident or defect workflows.
  • Advanced Jira and Agile delivery experience, including backlog design, prioritization, dependency management, defect triage, sprint or flow metrics, and release readiness.
  • Ability to read code, logs, architecture diagrams, API specifications, and technical documentation well enough to collaborate credibly with engineers.
  • Principal-level influence with the ability to create clarity across teams, communicate technical risk, and drive decisions without direct authority.
  • Excellent written and verbal communication skills across regions, functions, and time zones.
  • Experience leading a product portfolio or release train spanning multiple engineering squads or shared services (preferred).
  • Experience with enterprise AI governance, security reviews, privacy controls, compliance, or responsible-AI operating models (preferred).
  • Experience with Git-based delivery workflows, API testing tools, cloud platforms, containerized applications, or Kubernetes/OpenShift environments (preferred).
  • A portfolio of prototypes, agent workflows, reusable skills, technical product artifacts, or process transformations demonstrating an AI-first builder mindset (preferred).

Benefits

  • Comprehensive benefits package including health, dental, life insurance, and RRSP.
  • Remote work from home available.
  • Opportunity to shape how AI is applied across product and software-delivery practices.
  • Career growth and development opportunities with access to evolving AI tools and learning opportunities.
  • Collaborative and inclusive work environment.
  • Performance-based incentive structures and additional earning potential based on business growth.

Interested in this position?

Apply directly on the company website

Apply Now

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