Product Manager- AI Native Engineering

At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world‑class culture, generous benefits and by delivering cutting‑edge technology solutions for our clients.

Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world’s most advanced hardware and software solutions, WWT helps clients and partners conceptualise, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.

With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognised 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all.

Want to work with highly motivated individuals on high‑performance teams? Join WWT today!

Solutions Consulting & Engineering is an organization that is customer‑focused and solutions‑led. We deliver end‑to‑end and emerging solutions to drive customer satisfaction and increase profitability and growth. Our world‑class management consulting, delivery excellence, and engineering brilliance enable our success. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer’s problems.

Our goal is to bring together business acumen with full‑stack technical know‑how to develop innovative solutions for our clients’ most complex challenges.

The Product Manager – AI Native Engineering supports the development, launch, and scaling of WWT’s AI‑native platforms and offerings. This role partners closely with the Senior Product Manager to execute the product vision, translate strategy into delivery‑ready plans, and ensure offerings are built, packaged, and enabled for real‑world adoption.

This role is ideal for a strong execution‑oriented product manager who:

• Operates comfortably between engineering, delivery, and GTM teams
• Translates strategy into actionable roadmaps and requirements
• Brings structured thinking to ambiguous problem spaces
• Learns quickly in fast‑evolving AI and data ecosystems
• Balances speed, quality, and commercial outcomes

• Support ownership of AI‑native offerings through the full engineering lifecycle
• Partner with the Senior Product Manager to translate portfolio strategy into executable roadmaps and delivery plans
• Act as a day‑to‑day product liaison with Engineering, Partnerships, Enablement and Delivery teams
• Define and maintain detailed service offering artifacts
• Coordinate cross‑team execution, helping surface risks, trade‑offs and sequencing decisions
• Incorporate customer, partner and field feedback into backlog prioritization and iteration cycles
• Support partner integrations by coordinating requirements, timelines and validation activities
• Contribute to GTM readiness by supporting messaging inputs, use cases, enablement materials and documentation
• Track and report on product metrics such as adoption, reuse, delivery efficiency and customer feedback
• Assist with portfolio governance activities, lifecycle updates and business case inputs

• Bachelor’s Degree required
• MBA degree is a plus

• 5–8 years of experience in product management, technology solutions or platform‑oriented roles
• Experience working closely with engineering teams on complex technical products
• Exposure to AI, data platforms or modern digital architectures preferred
• Demon…