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QA Automation Manager

Anaconda
Remote (United States), United StatesRemotefull_timeVerifiedPosted 12 Mar 2025
💰 $192,000/yr($110,500/yr$192,000/yr)

About the role

About Anaconda

Be at the center of AI

With more than 50 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world.



What people love most about working here? We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.


Summary:


Anaconda is seeking an experienced QA Automation Manager to join our rapidly-growing company and lead our QA automation efforts on our Anaconda AI platform team.  In this role, you'll manage a team of QA automation engineers while driving technical excellence across multiple platforms including Web, Desktop, CLI, and API automation. This position combines people leadership with hands-on technical expertise in Playwright, TypeScript, Python, and AI driven testing solutions, while implementing automation strategies that enhance our testing efficiency and quality assurance processes.


What You’ll Do:

  • Lead and manage a team of QA automation engineers, providing career development, mentoring and performance management 
  • Provide hands-on technical guidance and perform daily pull request code reviews for quality and maintainability
  • Conduct regular 1:1s, performance reviews, and facilitate team growth through technical and soft skills development
  • Drive team OKRs, ensuring alignment with organizational goals and facilitating regular progress tracking and course correction as needed
  • Establish and monitor key testing KPIs including defect leakage rates, automation coverage metrics, test execution efficiency, and release quality indicators
  • Collaborate with NPI (New Product Introduction) teams to ensure smooth product releases and provide detailed Go/No-Go reports
  • Design, develop, and maintain automated test frameworks and test suites for Web and Desktop applications, covering API, CLI, and end-to-end workflows.
  • Analyze automation test results, proactively identify flaky tests, and implement solutions to enhance test stability and reliability
  • Participate in daily scrum activities, sprint demos, planning, and retrospectives, contributing ideas to improve team processes continuously
  • Encourage a culture of knowledge sharing by organizing technical sessions and promoting cross team collaborations


What You Need:

  • 10+ years of expertise in creating robust and reliable automation scripts across Web, Desktop, CLI and API Applications
  • 3+ years of proven leadership experience managing and growing QA automation teams, including mentoring engineers, driving team performance, and enabling career growth
  • Expert-level proficiency in Playwright and TypeScript for UI automation, and strong experience with Python and pytest for API/CLI test development
  • Proficiency in shell scripting, Git/GitHub workflows, and modern CI/CD practices, with a deep understanding of code review and version control standards
  • Hands-on experience with performance testing tools like Locust, JMeter, or k6 for load and stress testing
  • Strategic mindset, with experience in driving OKRs, aligning quality efforts with organizational goals, and continuously improving processes
  • Demonstrate ownership of product quality and release velocity, including experience making Go/No-Go decisions and ensuring high quality standards are consistently met throughout the release cycle
  • Strong c

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Company

Anaconda

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