AI Business Product Manager
Listed on 2026-02-14
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IT/Tech
AI Engineer
Why WWT?
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 conceptualize, 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 recognized 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!
Roles OverviewThe Business Product Manager is responsible for leading the strategy, delivery, and ongoing optimization of AI‑enabled sales products that support revenue growth, margin improvement, and seller productivity at enterprise scale.
Reporting into the Sales organization, this role owns a portfolio of AI‑powered capabilities including large language models (LLMs), intelligent automation, and advanced analytics, managed as business products embedded directly into seller workflows. The role works closely with cross‑functional partners across Sales, Technology, Architecture, AI, Enablement, and Analytics to ensure products are scalable, well‑governed, and adopted effectively by end users.
This position leads through influence and serves as a key product leader responsible for aligning business needs, technical execution, and change management to deliver measurable business outcomes.
Core AccountabilityOwn the success of AI‑enabled sales products across the full product lifecycle, with accountability for business impact, user adoption, and long‑term value realization across the sales process.
Why This Role MattersThis role plays an important part in helping the organization move from AI experimentation to consistent, enterprise‑ready solutions. By ensuring AI products are thoughtfully designed, governed, and integrated into daily seller workflows, the Senior Business Product Manager helps improve decision quality, streamline sales execution, and enable more effective, value‑based selling.
Responsibilities Product Vision, Strategy & Roadmap Ownership- Define and maintain the product vision, strategy, and roadmap for a portfolio of AI‑enabled sales products.
- Ensure AI capabilities are aligned to business objectives such as revenue growth, margin improvement, and productivity.
- Prioritize initiatives based on business impact, feasibility, and risk.
- Partner with technical teams to evaluate, pilot, and scale advanced AI capabilities (e.g., copilots, autonomous agents, RAG) while enforcing responsible AI and governance standards.
- Own the end‑to‑end product lifecycle from discovery through launch, adoption, and ongoing improvement.
- Partner with delivery teams to translate business requirements into scalable product solutions.
- Monitor product performance and user feedback to guide enhancements and optimization.
- Partner with AI and technical leaders to define and govern:
- Prompt frameworks and standards
- Context injection strategies (CRM, pricing, content, account intelligence)
- Quality, reliability, explainability, and trust thresholds
- Ensure AI outputs are decision‑ready, reliable, and trusted, not…
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