AI Product Manager, Alteryx

• We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual
• Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo
• You value inclusivity and want to join a culture that empowers you to show up as your authentic self
• You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together
• Candidates should have a strong willingness to engage with customers, to learn new technology, and to experiment with AI solutions
• 3-7 years of product ownership experience in an agile environment
• Strong understanding of ML Ops, AI Ops, data engineering, Agile, DevOps, and generative AI concepts
• Proven ability to drive end-to-end project execution with accountability for results
• Strong project management skills, attention to detail, and ability to resolve blockers
• Experience navigating ambiguity and making data-driven decisions
• Experience working on 0 to 1 products
• Excellent communication and collaboration skills across all levels of an organization
• Bachelor's degree or higher in technology, statistics, mathematics, or business

Desirable

• As a Product Manager at Alteryx, you will transform strategic vision into impactful product initiatives, solving real customer problems
• You will own a product roadmap, define requirements, and collaborate with cross-functional teams to build and launch features that enhance customer experience
• We are searching for a Product Manager to develop AI platform solutions
• A key aspect of this role will be understanding the challenges that organizations face while adopting AI
• Identify pain points in current customer experiences and develop solutions to mitigate friction
• Define and maintain a product roadmap aligned with business objectives
• Work closely with designers and developers to design, develop, and test new products and features
• Partner with go-to-market teams to enable successful customer adoption
• Foster collaboration within a team of data scientists, machine learning engineers, and software engineers
• Translate complex technical concepts for non-technical audiences
• Independently manage multiple workstreams, prioritizing effectively in a fast-paced environment
• Facilitate requirements gathering and contribute to roadmap development