Senior QA Manager

We’re looking for a Senior QA Manager to lead and transform our Engineering's QA function as our engineering organization scales. This role is about taking an existing QA team and evolving it into a modern, automation-first, AI-enabled quality organization that empowers engineers to move fast with confidence. You’ll be responsible for people, process, and technology - building a high-performing team, modernizing our testing strategy, and embedding quality deeply into how we build and ship software.

Lead & Grow the QA Team

• Manage, mentor, and grow a team of QA engineers across experience levels
• Establish clear roles, expectations, and career paths within QA
• Foster a culture of ownership, collaboration, and continuous improvement
• Partner with engineering leadership to plan team growth and resourcing

Own & transform QA Practices

• Assess current QA processes and lead a transition to an automation-first, AI-augmented testing strategy
• Drive adoption of modern testing frameworks, tooling, and best practices
• Reduce reliance on manual testing through intelligent automation and AI-assisted workflows
• Define what “quality at scale” means for the organization and implement it pragmatically

• Shift QA left by partnering closely with engineering and product leaders
• Ensure quality is built into design, development, and deployment - not treated as a final gate
• Establish scalable standards for test coverage, reliability, and release confidence
• Champion shared ownership of quality across teams

• Introduce and operationalize AI-powered QA tooling for test generation, maintenance, prioritization, and analysis
• Use data and AI insights to identify risk areas, flaky tests, and systemic quality issues
• Evaluate, select, and roll out new QA and AI tools with a focus on real-world impact
• Balance innovation with stability - knowing when AI helps and when it doesn’t
• Improve CI/CD quality signals and release confidence
• Track and communicate quality metrics that matter (not vanity metrics)
• Continuously refine processes as teams, systems, and products evolve

QA Automation & Development:

• Minimum of 5 years in QA automation, SDET, or software engineering with a primary focus on testing.
• Proven hands-on ability to build and scale automated test frameworks within growing engineering organizations.
• Strong proficiency with modern test frameworks (e.g., Playwright, Cypress, Selenium, Jest, PyTest) and a deep understanding of the full testing pyramid (unit, integration, API, smoke, sanity, regression, E2E).
• Experience testing APIs, distributed systems, and complex data-driven applications.

• Experience implementing AI-assisted QA workflows or tools in production environments.
• Experience using or integrating AI-powered testing tools (e.g., AI-generated tests, self-healing frameworks, intelligent monitoring).
• Familiarity and comfort working in development environments where AI is integral (code generation, test generation, analysis).
• Hands-on experience with agentic AI workflows and building reliable test coverage around autonomous, multi-step processes.
• Experience evaluating and selecting modern QA and AI tooling.

• Solid understanding of CI/CD pipelines, test orchestration, and deployment workflows.
• Exposure to performance, load, or reliability testing, especially when enhanced by automation or AI.
• Familiarity with major cloud infrastructure platforms (AWS, GCP, or Azure).
• Solid understanding of database fundamentals, including SQL, data flows, and designing data-driven test scenarios for data layer verification.

• Experience scaling QA practices from early-stage to growth-stage teams.
• Strong communication skills and a pragmatic, systems-oriented mindset.