Gen AI- QA Leader

Role

Description:

Incedo is seeking a Technical Product Owner to lead the build and evolution of QA Product - an Agentic AI–powered platform focused on transforming enterprise QA functions.

This role is ideal for a professional who brings deep hands-on QA domain expertise, basic product thinking, and the ability to work at the intersection of AI, engineering, and enterprise delivery. The TPO will play a critical role in defining differentiated QA capabilities, guiding last-mile implementation, and ensuring QA delivers measurable outcomes for clients.

The role requires close collaboration with AI engineers, QA COE teams, product managers, and client stakeholders, and will directly influence Incedo’s AI-led QA transformation strategy.

Key Responsibilities

Product Strategy, Ownership & QA Domain Expertise

- Develop and communicate the product vision and strategy aligned with business goals.
- Analyze market trends, competitive products, and emerging AI/tech innovations to inform strategic direction, features, build vs buy decisions etc.
- Collaborate with senior leadership within Incedo and own the product vision, roadmap, and feature definition for QA product.
- Act as the QA domain authority across the following QA areas for QA COE and product improvements:
- UI testing
- Functional testing
- Regression testing
- API testing
- Test optimization and self-healing capabilities
- Translate enterprise QA challenges into clear, scalable, and differentiated product features

User-Centric Product Design & Differentiation

- Think from the perspective of QA engineers, test leads, and QA managers and Design capabilities that materially improve:
- Test creation and execution efficiency
- Test maintenance effort
- Regression cycle time and coverage
- Overall Cost of Quality improvements and impact realization
- Provide domain expertise to drive differentiation and intelligent failure analysis, and adaptive test behavior

AI Enablement & Cross-Functional Execution

- Collaborate with AI/ML, engineering, and QA platform teams to:
- Define Agentic AI use cases for QA
- Shape agent workflows, autonomy levels, and human-in-the-loop interactions
- Ensure AI-driven features are practical, explainable, and enterprise-ready
- Collaborate with leadership team - BU leads, technical lead, AI team etc. to drive the GTM strategy and improvements in the roadmap
- Participate in backlog grooming, sprint planning, and feature prioritization

Stakeholder & Client Engagement

- Act as a credible product and QA expert in discussions with:
- Client QA leaders and engineering stakeholders
- Internal leadership and delivery teams
- Communicate product roadmap, trade-offs, and outcomes clearly
- Incorporate structured client feedback into continuous product improvement

Skills and Qualifications

- 12-15+ years of experience in QA engineering, test automation, QA solution/platform development or SDLC solution development areas
- Strong hands-on understanding of:
- UI, functional, regression, and API testing approaches
- Test automation frameworks and CI/CD integration
- Common QA challenges such as flakiness, test maintenance, and execution bottlenecks
- Proven experience in building or scaling QA solutions, frameworks, or platforms
- Strong product mindset with the ability to balance user needs, technical feasibility, and scalability
- Comfort translating domain requirements into clear technical stories and acceptance criteria

Preferred / Nice to Have

- Experience working in Agile environments (JIRA, backlog management, sprints)
- Exposure to AI-driven testing tools or self-healing frameworks
- Prior experience with enterprise clients and multi-stakeholder environments
- Comfort working with product metrics, quality KPIs, and adoption indicators

Why Join Us:

- Work at the forefront of AI and technology.
- Collaborate with a dynamic and passionate team.
- Opportunity for career growth and skill development.
- Competitive salary and benefits package.