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Senior leadership role with metro location and recognizable SaaS brand, moderate candidate competition.
High due to specialized QE leadership, AI adoption experience, and SaaS domain requirements.
Explicit 20+ years requirement, domain expertise in QE and AI, and SaaS product experience mandated.
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Lead strategic direction and execution of AI initiatives across Quality Engineering, owning end-to-end quality guardrails for the product portfolio.
Build and lead a high-performing global team driving AI innovations to enhance quality frameworks, test strategy, and AI-enabled quality signals in the software development lifecycle.
Define and oversee AI governance, success metrics, and operational rhythms to ensure responsible AI adoption improves engineering velocity without compromising reliability or compliance.
15+ years of experience as an Engineering Leader, total 20+ years in Software industry preferred.
Strong expertise in Quality Engineering/Quality Assurance with AI adoption and automation-led improvement strategies.
Experience in building scalable quality frameworks, modernizing test strategies, and embedding AI-driven solutions in Software Development Lifecycle.
Location: Bangalore or Ahmedabad (India)
Proven ability to manage and execute comprehensive AI strategies within Quality Engineering contexts at a senior leadership level.
Experience in SaaS product development and familiarity with Revenue Lifecycle Management software (CPQ & CLM) platforms.
Skilled at leading global teams, driving accountability for quality, and building partnerships across global engineering teams on quality priorities.