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The Sr. SDET Manager is a pivotal role blending strong technical depth with strategic and people leadership.
You will own the quality engineering strategy and operating model for Commerce & Payments, develop scalable quality practices, mentor SDET Managers and Leads, and drive AI-enabled approaches to improve how teams build, test, and ship software.
-> Quality Strategy & Architecture:
Own the end-to-end quality engineering vision, strategy, and roadmap across multiple product lines in the Commerce & Payments Organization
Establish quality gates, release readiness criteria, and CI/CD integration into Quality.
Drive a "shift-left, shift-right" quality culture - embedding testability into design reviews and using production observability to close the loop
Conduct architectural reviews across new and existing products to proactively surface scalability, reliability, and performance risks
Evaluate and select tooling, frameworks, and platforms (open-source and commercial) that scale automation across teams
-> AI Adoption in Commerce Context :
Lead the org's AI adoption strategy for quality engineering - to improve coverage, productivity, and defect prediction based on our Commerce scenarios
Continuously evaluate and leverage AI for all aspects of Quality Engineering ensuring quality strategy keeps pace with how product is built
-> Stakeholder & People Leadership:
Partner with Engineering, Product, DevOps, and Security leadership to align quality goals with business and release objectives
Provide regular quality updates, metrics, and strategic recommendations to executive leadership
Define, set up, and monitor key quality and productivity metrics (KPIs/OKRs)
Lead succession planning and mentor SDET Managers and Leads to build the next layer of quality leadership
Prior experience testing high-transaction SaaS platforms (CRM, Payments, Automation, Email, Fintech, or similar)
Experience building and testing AI products using Agentic AI, including evaluation frameworks
Quality vision and strategic execution
Non-functional testing (performance, security, reliability) and continuous delivery
Operational discipline within a fast-paced, rapid release environment
Stakeholder management across Engineering, Product, DevOps, and business functions
Team building and mentorship
Data-driven reporting of quality and productivity metrics to executive stakeholders
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