QA Manager

We are looking for an exceptionally skilled hands-on QA Manager to join our engineering team. This person will be responsible for managing the automation suites across all products in a fast-paced environment. Creating, maintaining, executing scripts during regression, smoke, and sanity in various environments. In your first year, you will have built out our testing frameworks from scratch and have hired a QA team to help us in those efforts!

• Hands-on automation development that is AI native
• Managing an offshore QA team and building out a US team as needed
• Creating automated test and validation processes of APIs on cloud services
• Building comprehensive test suites that will be utilized by overall engineering and product organizations
• Recommending and maintaining appropriate frameworks to automate test scenarios
• Define testing and evaluation strategies for AI-powered features, including regression testing, output quality, reliability, edge cases, and non-deterministic behavior
• Analyzing and reporting on test automation progress
• Performing manual, exploratory and performance testing
• Analyzing test results, performing RCAs and file tickets as necessary in JIRA
• Establishing test automation code coverage metrics
• Collaborating closely with our product manager, project manager (agile), and software engineers to define best practices for testing our applications (both internal and external facing)

• 8+ years of QA engineering experience, including 2+ years leading or managing a test automation team
• Hands-on experience using AI tools and agents for test automation
• Strong expertise in automation tools such as Selenium, Playwright, Cypress, Watir, Head Spin or similar
• Proven ability to define tool strategy and build scalable test automation frameworks from the ground up
• Experience writing scalable, reusable test scripts and running them in an Agile/Scrum environment
• Solid experience with manual and automated API testing, including Postman
• Experience setting up CI/CD pipelines and integrating automated tests into them
• Practical experience with source control systems (e.g., Git)
• Familiarity with AWS, GCP or similar cloud platforms, and working knowledge of SQL
• Excellent communication and mentorship skills, with experience leading distributed teams

• Builder mentality: you’re energized by starting from zero. You can stand up frameworks, processes and a team from scratch without waiting for a playbook.
• Hands-on and leading at the same time: you’re as comfortable writing and debugging automation scripts as you are mentoring engineers and setting direction for the team.
• AI-native problem solving: you reach for AI tools and agents first to speed up test creation and maintenance, and you know how to test AI features whose outputs can change from run to run.
• Quality as a mindset, not a phase: you push testing earlier in the development cycle and help engineering and product teams own quality alongside you.
• Root-cause curiosity: you don’t stop at “it’s broken.” You dig into the “why,” run thorough RCAs and turn what you learn into lasting process fixes.
• Data-driven reporting: you track coverage, defect trends and automation progress, and you use those numbers to show impact and guide decisions.
• Pragmatic prioritization: in a fast-paced environment, you balance coverage, speed and risk. You know what to automate, what to test by hand and what can wait.
• Precision and attention to detail: you catch the edge cases others miss and won’t sign off on a release until you trust the results.
• Clear communication across time zones: you keep an offshore team aligned and productive, and you explain quality risks so non-technical stakeholders understand them.
• Voice your opinions: how can…