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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Coforge • Austin, Texas, United States
Role & seniority: Product Owner (AI-Driven QE Platform)
Location & work type: Austin, TX | Full Time
Cloud-native, API-first architectures
React/Angular/.NET/AWS
AI-enabled automation for QE (intelligent test generation, self-healing automation, risk-based testing, intelligent defect triage, quality analytics)
CI/CD integration
Own product vision, roadmap, and backlog for the AI-driven QE platform; define and validate functional/non-functional requirements (performance, resiliency, data accuracy, security, auditability)
Drive AI-powered QE capabilities and ensure automation coverage across UI, API, integration, and data layers; align with enterprise standards
Partner with Engineering, QE, DevOps, Platform, Product, Operations, and Compliance to embed the QE platform into CI/CD pipelines and measure adoption (release velocity, defect leakage, production stability)
Proven Product Owner experience delivering AI-enabled platforms or automation solutions
Strong understanding of enterprise QE and automation platforms (UI, API, integration, data)
Agile/Scrum mastery, backlog management, high-quality user stories
Excellent communication bridging business workflows and engineering execution
Experience with advisor-facing platforms and regulatory/compliance considerations
Familiarity with cloud-native architectures and enterprise risk management
Role: Product Owner – AI-Driven Quality Engineering (QE) Platform
Location: Austin, TX
Mode of Hire: Full Time
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 or 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.