Sr Technical Product Manager- AI Native Engineering

World Wide Technology is a global technology solutions provider leading the AI and Digital Revolution. The Sr. Technical Product Manager leads the solutioning, discovery and delivery of modern digital products and platforms, integrating data and AI capabilities to drive measurable business outcomes.

Responsibilities:

• Collaborate with client stakeholders and cross-functional teams to define digital product visions, business cases and roadmaps
• Identify, validate and prioritize AI-enabled use cases (e.g., predictive insights, personalization, automation, generative experiences) within digital products
• Build prototypes and proof-of-concepts leveraging AI coding tools and platforms, partnering closely with architects and engineers to deliver scalable, production-grade applications
• Lead discovery and delivery across the product lifecycle, integrating AI and data-driven capabilities where they create customer or operational value
• Guide decisions on solution approaches, including build vs. buy vs. fine-tune, in collaboration with technology and account teams
• Ensure responsible and ethical AI considerations (e.g., transparency, bias, privacy, and governance) are incorporated into product design and delivery
• Communicate complex technical and AI concepts in clear, compelling ways to executive and non-technical stakeholders
• Support pre-sales activities by contributing to thought leadership, solution narratives, proposals, and presentations that articulate the value of AI-enabled digital solutions

Requirements:

• Bachelor's degree required (Computer Science, Engineering, Robotics, Systems, or related preferred)
• 7–10+ years of digital or software product management experience
• Experience delivering data-driven and AI-enabled digital products across the full SDLC
• Strong understanding of digital platforms, analytics, and AI concepts (e.g., ML models, generative AI, automation), with the ability to translate them into business value
• Experience leveraging AI tools and platforms to define and prototype digital products (e.g. Claude Code, Cognition, Cursor, or similar tools)
• Proven ability to work with cross-functional teams and executive stakeholders in consulting or enterprise environments
• Excellent communication, storytelling, and stakeholder management skills
• Up to 50% of the time travel requirement
• Master's degree a plus (AI/ML, Robotics, Computer Vision, Systems Engineering, HCI)