Technical Product Owner - AI-Driven QE Automation
Lorven Technologies Inc
Our client seeks an Technical Product Owner f or a 12 Months p roject in Austin, TX . Below is the detailed requirement
Job Title: Technical Product Owner
Work location : Austin, TX
Duration: 12 Months
Role Overview
We are seeking a Technical Product Owner / Technical Business Analyst with strong experience in Quality Engineering (QE) automation and AI-driven testing solutions . The ideal candidate will combine hands-on automation knowledge with product ownership skills , working closely with engineering teams to build and scale intelligent test automation platforms .
This role requires deep understanding of test automation frameworks, AI-assisted testing, and Agile delivery practices , with the ability to drive product decisions and roadmap planning for automation initiatives.
Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience
Required Skills & Experience
Core QE Automation
- Strong hands-on experience in Quality Engineering / Test Automation across:
- UI testing
- API testing
- Mobile testing
- Experience with modern automation tools such as:
- Selenium
- Playwright
- Cypress
- RestAssured
- Appium
- or similar automation frameworks
- Solid understanding of:
- Test automation frameworks
- Automation architecture and strategy
- CI/CD pipeline integration
- Test coverage and quality metrics
- Working knowledge of AI/ML concepts applied to test automation
- Experience with:
- AI-based test case generation or optimization
- Self-healing automation frameworks
- LLM-based solutions for test creation, analysis, or maintenance
- Familiarity with AI platforms, APIs, or frameworks used in automation workflows
- Ability to leverage AI tools to improve testing efficiency and defect detection
- Proven experience as a Technical Product Owner or Technical Business Analyst
- Strong knowledge of Agile / Scrum methodologies
- Ability to:
- Manage product backlogs
- Write epics, user stories, and acceptance criteria
- Prioritize features and technical initiatives
- Experience collaborating closely with engineering, QA, and DevOps teams
- Ability to make technology-driven product decisions for automation platforms
- Experience building or scaling AI-driven QE automation platforms
- Exposure to MLOps or AI model lifecycle management
- Experience with DevOps practices and cloud platforms such as:
- AWS
- Azure
- GCP
Vacancy posted 1 day ago
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