We are looking for a strong QA Lead with high technical skills to build methodology, provide vision and direction, and lead quality & automation throughout the organization. This role operates at the intersection of traditional software quality and AI-powered development – owning quality not just for code written by humans, but for systems designed, generated, and executed by AI agents.
How will you make an impact?
Serve as the quality leader for an entire domain – accountable for product quality across human-written, AI-generated, and agent-executed software
Actively track the domains quality tasks, analyze the testing needs, and define QA activities and ownership
Continuously analyze and challenge existing testing coverage
Plan, develop, and execute test strategy across our Cloud Analytics platform , extending to AI-powered and agentic system components
Review and approve tests cases and complex system scenarios
Prepare and present data-driven quality insights, KPIs, risks, and trends to leadership through regular domain level reporting.
Lead domain-level RCA reviews for customer-facing bugs and major incidents; detect trends and drive systemic improvements.
Own post-deployment quality monitoring, drive sanity completion and rapid triage of production issues within the domain.
Lead Quality assurance efforts that align with product objectives to ship products rapidly and with confidence
Help the teams design the performance, concurrency and latency test scenarios and metrics
Lead risk-based test strategy with product and engineering – define acceptance criteria and quality gates that support high delivery velocity without sacrificing customer-impacting quality
Implement and evolve QA processes to get effective test signals and scale testing efforts across our services
Define acceptance criteria for non-deterministic systems using golden-set evaluation, behavioral contracts, and statistical confidence thresholds
Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation
Partner with engineering and DevOps teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product
Track and improve CI/CD pipeline health across environments – expanding automation coverage, hardening test stability, and ensuring every environment produces trustworthy test signals.
Plan and lead NFR testing
Define guidelines and best practices for our automation and manual testing procedures
Coordinate cross-organization/cross-region testing activities
How will you make an impact?
Serve as the quality leader for an entire domain – accountable for product quality across human-written, AI-generated, and agent-executed software
Actively track the domains quality tasks, analyze the testing needs, and define QA activities and ownership
Continuously analyze and challenge existing testing coverage
Plan, develop, and execute test strategy across our Cloud Analytics platform , extending to AI-powered and agentic system components
Review and approve tests cases and complex system scenarios
Prepare and present data-driven quality insights, KPIs, risks, and trends to leadership through regular domain level reporting.
Lead domain-level RCA reviews for customer-facing bugs and major incidents; detect trends and drive systemic improvements.
Own post-deployment quality monitoring, drive sanity completion and rapid triage of production issues within the domain.
Lead Quality assurance efforts that align with product objectives to ship products rapidly and with confidence
Help the teams design the performance, concurrency and latency test scenarios and metrics
Lead risk-based test strategy with product and engineering – define acceptance criteria and quality gates that support high delivery velocity without sacrificing customer-impacting quality
Implement and evolve QA processes to get effective test signals and scale testing efforts across our services
Define acceptance criteria for non-deterministic systems using golden-set evaluation, behavioral contracts, and statistical confidence thresholds
Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation
Partner with engineering and DevOps teams to leverage automation for scalable solutions to prevent regressions and ensure reliability of product
Track and improve CI/CD pipeline health across environments – expanding automation coverage, hardening test stability, and ensuring every environment produces trustworthy test signals.
Plan and lead NFR testing
Define guidelines and best practices for our automation and manual testing procedures
Coordinate cross-organization/cross-region testing activities
דרישות:
Education:
BSc in Computer Science/Software Engineering or equivalent
Requirements
3 years QA leadership experience: Team leader/Manager
Minimum 5 years of Experience as a QA engineer with at least 4 years of automation experience
Experience with large scale production distributed systems and proven experience with designing and implementing tests for such systems
Leadership, coordination abilities and ability to influence without authority
Experience with systems that work with structured and unstructured data and with AI services and models
Demonstrated technical leadership across teams – driving standards, roadmap execution, and stakeholder alignment
Ability to define QA processes across development groups
Hands on experience with CI/CD and Test-Driven Development
Excellent communication skills (written and verbal) and interpersonal skills
Experience with full software development lifecycle using Agile Development processes
Superior analytical and problem-solving abilities
Experience designing evaluation harnesses for non-deterministic AI systems
Cloud experience (AWS/Azure/GCP) and Infrastructure-as-Code
Hands-on experience working within an agentic SDLC – including AI-assisted code generation, agent-driven development workflows, and the quality, review, and governance practices that keep AI-accelerated delivery safe and r המשרה מיועדת לנשים ולגברים כאחד.
Education:
BSc in Computer Science/Software Engineering or equivalent
Requirements
3 years QA leadership experience: Team leader/Manager
Minimum 5 years of Experience as a QA engineer with at least 4 years of automation experience
Experience with large scale production distributed systems and proven experience with designing and implementing tests for such systems
Leadership, coordination abilities and ability to influence without authority
Experience with systems that work with structured and unstructured data and with AI services and models
Demonstrated technical leadership across teams – driving standards, roadmap execution, and stakeholder alignment
Ability to define QA processes across development groups
Hands on experience with CI/CD and Test-Driven Development
Excellent communication skills (written and verbal) and interpersonal skills
Experience with full software development lifecycle using Agile Development processes
Superior analytical and problem-solving abilities
Experience designing evaluation harnesses for non-deterministic AI systems
Cloud experience (AWS/Azure/GCP) and Infrastructure-as-Code
Hands-on experience working within an agentic SDLC – including AI-assisted code generation, agent-driven development workflows, and the quality, review, and governance practices that keep AI-accelerated delivery safe and r המשרה מיועדת לנשים ולגברים כאחד.
