Lead Product Manager, Agentic Quality Engineering Hub

Lead Product Manager, Agentic Quality Engineering Hub

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal

Note:

This position is not eligible for Immigration Sponsorship at this time.

About the Role:

The Product Owner for the Agentic QE Hub owns the vision, roadmap, adoption, and measurable impact of our premier retail client’s agentic Quality Engineering capabilities. This role is responsible for shaping the tools, processes, standards, and enablement model that help QE teams use AI agents safely and effectively across test strategy, test design, automation, defect analysis, quality insights, reporting, and engineering workflow integration.

Key Responsibilities:

• Define and own the vision, strategy, roadmap, and backlog for the Agentic QE Hub, aligned to enterprise AI strategy, QE transformation goals, and technology priorities.
• Own the end-to-end product lifecycle for agentic QE capabilities
  , including research, discovery, prioritization, release planning, adoption, feedback, and continuous improvement.
• Define and track product success metrics including adoption, active usage, team onboarding, cycle-time improvement, quality coverage, automation efficiency, defect detection, user satisfaction, reuse, and reduction in manual QE effort.
• Understand stakeholder needs and translate them into product outcomes by working with QE leaders, quality engineers, delivery teams, product teams, engineering teams, and platform stakeholders.
• Evangelize and drive adoption of the Agentic QE Hub by communicating the vision, sharing success stories, leading demos, promoting reusable practices, gathering feedback, and helping teams adopt the platform and processes.
• Assess agentic QE tools, agents, workflows, accelerators, and proofs of concept created by other teams and the industry (for example Agentic Testing, no code/low code options, RPA, automation etc); determine what should be adopted, improved, integrated, scaled, governed, or retired.
• Drive the evolution of core Agentic QE Hub capabilities
  , including agent workflows, reusable prompts, test generation patterns, MCP/tool integrations, reporting, knowledge retrieval, governance, and human-in-the-loop controls.
• Partner across Engineering, Architecture, Security, Legal, Infrastructure, AI platform, and business teams to deliver secure, reliable, integrated, and enterprise-ready QE solutions.
• Define standards and operating processes for agentic QE capabilities
  , including how they are evaluated, onboarded, documented, supported, governed, and measured across the enterprise.
• Ensure Agentic QE Hub capabilities integrate with overall delivery ecosystem
  , including test management tools, CI/CD pipelines, code repositories, defect management, observability, documentation, and enterprise AI platforms.

Success Measures:

• Increased adoption of Agentic QE Hub capabilities across priority QE teams.
• Reduced manual effort in test design, test data preparation, automation creation, defect analysis, or reporting.
• Improved test coverage, defect detection, quality visibility, or release confidence.
• Number of…