Product Owner

Austin, TX - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Title: Product Owner (strong AI exp.)
Work Mode: Hybrid - Austin TX

Experience Required: 12 years

Role Summary

We are seeking a forward-thinking Product Owner to build and scale an AI-driven Quality Engineering (QE) platform. This role will define and deliver a next-generation QE platform that embeds AI into the SDLC to improve release velocity platform stability and advisor experience across mission-critical brokerage and advisory systems. The ideal candidate understands advisor-facing platforms cloud-native enterprise architectures and AI-enabled automation and can translate complex business and regulatory needs into scalable platform-level capabilities.

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/Scrum backlog management and high-quality story writing.
Strong communication skills with the ability to bridge advisor business workflows and engineering execution.

Job Title: Product Owner (strong AI exp.) Work Mode: Hybrid - Austin TX Experience Required: 12 years Role Summary We are seeking a forward-thinking Product Owner to build and scale an AI-driven Quality Engineering (QE) platform. This role will define and deliver a next-generation QE platform that e...

Job Title: Product Owner (strong AI exp.)
Work Mode: Hybrid - Austin TX

Experience Required: 12 years

Role Summary

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/Scrum backlog management and high-quality story writing.
Strong communication skills with the ability to bridge advisor business workflows and engineering execution.