JD ||| Product Owner with strong AI exp. || Location: Austin, TX (hybrid)

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Vinit Kumar Maurya

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Apr 1, 2026, 12:31:23 PM (yesterday) Apr 1
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Role: Product Owner with strong AI exp.

Location: Austin, TX (hybrid)

Experience Required: 12+ years

  

Key Responsibilities

                     Own the product vision, roadmap, and backlog for an AI-driven QE platform.

                     Design QE platform capabilities aligned to cloud-native, API-first, React/Angular/.NET/AWS based architectures.

                     Drive AI-powered QE capabilities including intelligent test generation, self-healing automation, risk-based testing, intelligent defect triage, and quality analytics.

                     Partner with Engineering, QE, DevOps, and Platform teams to embed the QE platform into CI/CD pipelines.

                     Ensure automation coverage across UI, API, integration, and data layers aligned to enterprise standards.

                     Define and validate functional and non-functional requirements including performance, resiliency, data accuracy, security, and auditability.

                     Verify and validate delivered capabilities to ensure alignment with advisor experience expectations and regulatory obligations.

                     Drive adoption using measurable outcomes such as release frequency, defect leakage, automation effectiveness, and production stability.

                     Collaborate with Product, Engineering, Operations, and Compliance stakeholders to align quality strategy with advisor experience and enterprise risk.

 

Required Qualifications

                     Proven experience as a Product Owner delivering AI-enabled platforms and automation solutions.

                     Strong understanding of enterprise QE and automation platforms (UI, API, integration, data).

                     Expertise in Agile/Scrumbacklog management, and high-quality story writing.

                     Strong communication skills with the ability to bridge advisor business workflows and engineering execution.

 

 

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