Engineer IV , QA

About this role

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.