ironquill.tech/board

$ cat jobs/vp-product-management-analytics-experience-alteryx-fedb16e74d8f.json

VP, Product Management, Analytics Experience

alteryx·US·United States·mid
Apply on himalayas → Get AI match score →
Meet the Moment with Alteryx We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation. You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible. If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here. Alteryx is searching for a VP, Product Management. This position is remote-friendly; collaboration with engineering, UX, and PM teams in the U.S., Australia, Prague, and India is expected. About Alteryx : Alteryx is the business logic layer for the intelligent enterprise. More than 8,000 customers — including Bank of America, Coca-Cola, and Siemens — depend on us to turn data into decisions, and last year they processed 774 trillion records on our platform. We are a company of more than a billion dollars in revenue. About The Role: AI doesn’t know how your company runs finance operations. Neither does your data platform. The context that makes AI useful inside an enterprise — the business logic, the exceptions, the way this company actually does this work — lives in Alteryx workflows, across finance, retail, supply chain, and beyond. That context is also what makes AI credible. Enterprises stall at the same wall every time: nobody can tell whether the answer is right, why it came out that way, or who is accountable if it isn’t. Analysis has to be trusted, understandable, and auditable before an organization will let it run the business, and the workflow is where that accountability lives. We’re now embarking on the next phase of the story: reimagining the product for an AI-first era. Analysts should be able to describe a business problem and get it solved. Their analysis and their workflows should become the backbon