IT Principal Product Manager, Applied AI

Overview

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We are seeking an experienced IT Product Management Principal to lead product and service design for applied AI solutions, accelerating innovation and product development for our AI platform teams. This role combines strategic product thinking with hands-on design expertise to create intuitive, scalable AI products and frameworks that deliver exceptional user experiences. The ideal candidate will have a proven track record of designing enterprise AI products, driving rapid ideation and prototyping, and establishing design systems and frameworks that enable teams to build faster and more effectively.

Define and execute product vision and strategy for applied AI solutions across internal platforms and customer-facing products. Translate business objectives and user needs into compelling product roadmaps and design strategies. Establish product principles, design philosophies, and user experience standards for AI products. Conduct market research, competitive analysis, and user research to inform product direction. Define product success metrics, KPIs, and measurement frameworks to track user adoption and satisfaction.

Drive product positioning, value propositions, and go-to-market strategies for AI solutions

Lead end-to-end product design for complex AI applications including GenAI interfaces, conversational AI, and intelligent automation. Facilitate rapid ideation sessions, design sprints, and workshops to accelerate product development. Create high-fidelity prototypes, wireframes, and interactive mockups to communicate product vision. Design intuitive user interfaces and experiences for AI-powered tools, dashboards, and applications. Establish and maintain design systems, component libraries, and UI/UX patterns for AI products.

Apply human-centered design principles and design thinking methodologies to solve complex problems. Drive innovation through experimentation, A/B testing, and iterative design approaches

Develop reusable product frameworks and design patterns that accelerate platform team productivity. Create comprehensive design systems with guidelines, templates, and best practices for AI product development. Build product playbooks and frameworks for common AI use cases (RAG systems, chatbots, analytics tools). Establish service design frameworks for end-to-end AI solution delivery. Define information architecture standards and data visualization principles for AI applications.

Create interaction design patterns optimized for AI/ML experiences (prompt interfaces, model outputs, confidence displays). Develop accessibility standards and inclusive design guidelines for AI products

Lead user research initiatives to understand needs, behaviors, and pain points for AI product users. Conduct usability testing, user interviews, and feedback sessions to validate product designs. Create user personas, journey maps, and service blueprints for AI solutions. Analyze user behavior data and product analytics to drive design improvements. Synthesize research findings into actionable insights and design recommendations. Establish continuous feedback loops between users, product teams, and platform teams

Required Qualifications

Experience

• 15+ years in product design, service design, UX/UI design, or product management roles

• Demonstrated experience designing AI/ML products and platforms in enterprise environments

• Proven track record of creating successful digital products from concept to launch

• Hands-on experience building design systems, frameworks, and reusable components

• Strong background in both consumer-facing and enterprise B2B product design

• Experience designing conversational AI interfaces, GenAI applications, or intelligent automation tools

• Success leading design for complex, data-driven applications and analytics platforms

• Expert-level proficiency with design tools (Figma, Sketch, Adobe Creative Suite, Miro, Fig Jam)

• Deep expertise in user experience (UX) design, user interface (UI) design, and interaction design

• Strong understanding of visual design principles, typography, color theory, and layout

• Experience with design thinking, human-centered design, and service design methodologies

• Proficiency in prototyping tools and techniques (high-fidelity mockups, interactive prototypes, animations)

• Knowledge of front-end technologies (HTML, CSS, JavaScript/React) to collaborate effectively with engineers

• Understanding of accessibility standards (WCAG) and inclusive design practices

• Experience with data visualization and designing for complex data sets and analytics

• Deep understanding of AI/ML concepts and their implications for product design

• Hands-on experience with GenAI platforms (ChatGPT, Claude, Gemini) and understanding of prompt engineering

• Knowledge of RAG architectures,…