Sr. Technical Product Manager- AI Native Engineering

World Wide Technology Healthcare Solutions•Jenks, OK

9h•Remote

About The Position

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. This role partners closely with clients, stakeholders, designers, engineers, and data scientists to define product vision, shape roadmaps and deliver scalable, responsible, and insight-driven digital experiences. Technical Product Managers have the technical fluency to scope, prototype, plan and estimate digital application and data platform solutions, partnering closely with architects and engineers.

Requirements

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

Nice To Haves

Master’s degree a plus (AI/ML, Robotics, Computer Vision, Systems Engineering, HCI).

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.