Job ID: JOB_ID_4870
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.
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
AI & Intelligent Automation
- 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
Product Owner & Agile
- 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
Nice to Have
- 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
- Experience working on enterprise-scale automation programs
Special Requirements
Location: Austin, TX (Hybrid). Interview Process: Not specified. Work Schedule: Hybrid.
Compensation & Location
Salary: $130,000 – $180,000 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Email: kumar Nishant5656@gmail.com
Recruiter Notice:
To remove this job posting, please send an email from
kumar Nishant5656@gmail.com with the subject:
DELETE_JOB_ID_4870