QA/QE Market lead

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in Chennai, Tamilnadu, IND
In-Office or Remote
Expert/Leader
Information Technology • Business Intelligence • Consulting
The Role
Lead enterprise AI-first Quality Engineering transformation initiatives, consulting engagements, market strategy, go-to-market programs, and practice expansion. Advise executive stakeholders, modernize QA organizations, and implement intelligent automation, TestOps, observability, release intelligence, and AI-native operating models. Build QE talent capabilities, partner with sales and delivery leadership, drive revenue growth, and own practice-level P&L responsibilities.
Summary Generated by Built In

This is a remote position.

Overview :

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.


Requirements

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


Benefits
Diversity Inclusion:

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, color, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career. Exavalu also promotes flexibility  depending on the needs of employees, customers and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also have a welcome back program to help people get back to the mainstream after a long break due to health or family reasons.

Skills Required

  • 15+ years of professional 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
  • Executive stakeholder management experience
  • Proven experience in go-to-market 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
  • Experience with AI-driven test automation
  • Experience with AI-native QE platforms
  • Experience with enterprise TestOps
  • Experience with observability and release intelligence
  • Experience with product-centric engineering models
  • Experience with cloud and digital transformation
  • Revenue and P&L ownership experience
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The Company
Chennai, Tamilnadu
295 Employees
Year Founded: 2018

What We Do

Exavalu leads the way in business and technology consulting and solution delivery, focusing on specialized digital transformation across the Insurance, Healthcare & Life Sciences, and Nonprofit industries. As an award-winning digital transformation advisor, we take pride in delivering leading-edge solutions to clients worldwide. Led by industry veterans and technology experts, we bring our deep understanding in customer experience, process automation, digital engineering, cloud, data and AI with a very strong industry core foundation. Drawing on our industry insights and technological acumen, we enable clients to drives growth, profitability, and cost optimization. We mitigate risks and elevate customer experience through our comprehensive suite of services, including strategic advisory, expert-led technology [build and maintenance], and best-in-class products and solutions. Our unwavering focus on understanding the industry's hard problems and finding the right solution has garnered recognition as the preferred ally for organizations seeking transformative growth.

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