QA/QE Market lead

Role: QA/QE Market Lead (AI-First Quality Engineering)

Experience: 15+ Years

Location: Remote

Employment Type: Full-Time

Focus Area: AI-First Quality Engineering (QE to the Power of AI)

Role Summary:

We are looking for a strategic and consulting-driven QA/QE Market Lead to drive AI-First Quality Engineering transformation initiatives across enterprise clients. The ideal candidate should possess strong leadership experience in modern Quality Engineering, AI-led QE transformation, market expansion, consulting, and enterprise stakeholder engagement.

This role will focus on embedding AI and Agentic AI capabilities across the Quality Engineering lifecycle — from requirement intelligence to automation, observability, TestOps modernization, release risk forecasting, and AI-native QE operating models.

Key Responsibilities:

• Lead AI-First Quality Engineering transformation initiatives for enterprise customers.
  
• Drive consulting-led client engagements with CIOs, CTOs, Digital, and Engineering leaders.
  
• Build and expand QE market strategy, GTM initiatives, and AI-native QE capabilities.
  
• Modernize traditional QA organizations into AI-driven Quality Engineering operating models.
  
• Lead enterprise TestOps transformation, intelligent automation, and observability initiatives.
  
• Define product-centric quality engineering strategies aligned with business outcomes.
  
• Build AI-ready QE talent ecosystems and capability development programs.
  
• Drive revenue growth, practice expansion, and P&L ownership for QE services.
  
• Partner with delivery, sales, and engineering leadership teams to accelerate market adoption.
  

Required Skills & Experience:

• Strong expertise in AI-led Quality Engineering and QE transformation.
  
• Experience with Agentic AI, intelligent automation, TestOps, release intelligence, and observability.
  
• Strong consulting and advisory capabilities with executive stakeholder management experience.
  
• Proven experience in GTM strategy, practice leadership, and market expansion.
  
• Deep understanding of enterprise QA modernization and AI-native QE operating models.
  
• Experience leading large-scale enterprise transformation programs.
  
• Strong communication, leadership, and client relationship management capabilities.
  

Preferred Areas:

• AI-Driven Test Automation
  
• AI-Native QE Platforms
  
• Enterprise TestOps
  
• Observability & Release Intelligence
  
• Product-Centric Engineering Models
  
• Cloud & Digital Transformation
  
• Revenue & P&L Ownership