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Job Description & How to Apply Below
Key Responsibilities
• Define and execute the Quality Vision & Roadmap aligned with business and IPO goals Lead, mentor, and scale a 35+ member QA organization across products and platforms
• Drive shift-left quality, test automation, CI/CD quality gates, and release confidence Establish quality metrics, dashboards, and defect leakage controls at scale
• Own test strategy for web, mobile, APIs, integrations, data pipelines, and cloud infra Ensure security, compliance, and audit readiness (ISO 27001, GDPR, DPDPA, SOC)
• Partner closely with Engineering, Product, Dev Ops, and Security leadership Improve release velocity without compromising stability
• Build a high-performance QA culture with strong hiring, upskilling, and succession plans
• Present quality outcomes, metrics, and risks to business and leadership teams on a regular cadence
• Engage directly with customers and key stakeholders on quality, stability, and release readiness
• Travel to customer locations during high-severity incidents or critical engagements, as needed Act as the single point of accountability for quality in executive and customer-facing forums
What we’re looking for
● 18+ years in Quality Engineering, with 5+ years in a senior leadership role (Head/Director/VP Quality)
● Proven experience leading large QA teams (25–50+) in B2B SaaS products Strong background in automation-first QA, CI/CD, and modern QA frameworks
● Experience with cloud-native systems (AWS/GCP), microservices, APIs Demonstrated ownership of compliance-driven quality programs
● Track record of reducing defect leakage and improving release predictability
Nice to Have
• Experience in EdTech / CRM / high-volume SaaS platforms, audit-driven engineering experience
• Exposure to performance, security testing, and reliability engineering (SRE) Leadership
• Traits Executive presence and strong stakeholder management Data-driven, outcome focused decision maker
• Ability to influence without micromanagement Passion for building scalable quality systems, not just test cases Comfortable operating in high-ownership, ambiguous environments
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