Principal QA Engineer(Python, Pytest and ML)

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! About the Role Here at Anaplan, we have reinvented how companies see, plan, and run their businesses. Our platform allows our customers to uncover new insights, connect their strategy to their plans, and work in ways they had not previously thought possible. Anaplan is the only scenario planning and analysis platform designed to optimize decision-making in today's complex business environment so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, our platform intelligently surfaces key insights — so businesses can make the right decisions, right now. We are seeking a talented AI QA Lead to guide our team and ensure the quality and reliability of our cutting-edge AI and machine learning solutions. Key Responsibilities Lead, mentor, and grow high-performing QA Engineers across multiple stream aligned teams. Define and drive the overall QA strategy for our Forecasting project, with a focus on time-series forecasting. Oversee the design, development, and maintenance of automated test frameworks. Guide the team in implementing and executing robust test cases for our AI-powered features and APIs. Champion the use of BDD frameworks, such as Gherkin, to create clear, concise, and maintainable tests. Ensure the team effectively tests and validates RESTful APIs to meet high standards of quality and performance. Collaborate with product managers, data scientists, and engineering leads to align on quality standards and release criteria. Oversee the identification, documentation, and tracking of bugs and inconsistencies in our AI/ML systems. Drive improvements to our CI/CD pipeline to ensure that our AI models are continuously tested and deployed with confidence. Required Qualifications A skilled QA Engineer with 8+ years of experience testing and assuring the quality of complex platform, infrastructure, or data-centric systems. Strong proficiency in Python. Proven experience leading or mentoring a QA team in a fast-paced technical environment. Deep understanding of machine learning concepts and a proven track record of testing ML models, particularly in the domain of time-series forecasting. Expertise with testing frameworks such as pytest. Strong experience with Behavior-Driven Development (BDD) and Gherkin. In-depth knowledge of API testing and validation. Proficiency in modern software development practices (testing, code review, CI/CD). A proven track record of delivering complex technical projects on time with high quality. Excellent leadership, communication, and interpersonal skills. Preferred Qualifications Experience with performance, scalability, and security testing of AI systems. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services. Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes. Experience with strategic planning and roadmap development