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Senior, niche QA+AI leadership reduces applicant density despite metro location and known SaaS brand.
Highly specific to SaaS quality engineering and AI-driven QE, limiting cross-industry transferability.
Explicit 15+/20+ years, AI-in-QE, SaaS product and leadership mandate strict filtering.
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Lead strategic direction and execution of AI initiatives within Quality Engineering across the organization.
Build and manage a high-performing Quality Engineering team focused on AI-driven innovation and automation.
Develop and implement scalable quality frameworks and AI-enabled quality signals across the software development lifecycle.
15+ years of experience as an Engineering Leader; total 20+ years in the software industry preferred.
Experience in Quality Engineering with AI adoption and automation-led improvement strategies.
Strong knowledge of SaaS product development; experience with Revenue Lifecycle Management software (CPQ & CLM) is advantageous but not mandatory.
Location: Bangalore or Ahmedabad, India; reporting to Chief Technology Officer.
Proven ability to design and execute comprehensive AI strategies in Quality Engineering including governance and compliance.
Demonstrated experience leading large, global teams with focus on quality accountability across engineering teams.
Skilled in collaborative communication and influencing organizational priorities related to AI innovation and quality assurance.