Senior User Experience Product Lead - Learning & Skilling

We’re on a mission to radically transform the way employees learn and grow — moving from static, top-down destination platforms (LMS/LXP {Learning Management Systems/Learner Experience Portal}) to agentic-first, inflow skilling experiences, powered by AI-native technologies and grounded in the science of human motivation and learning. As our Senior User Experience Product Lead - Learning & Skilling, you will be at the forefront of this transformation, fusing deep user experience (UX) design with learning science, behavioral insights, and product strategy. 

In this new and critical role, you’ll shape how learners interact with intelligent agents — not through passive content catalog consumption, but through personalized, contextual, and value-rich experiences that spark curiosity, foster skill development, and integrate seamlessly into the flow of work. 

You’ll lead the Learning & Skilling UX, aligned to the corporate Learning & Skilling Strategy, leveraging design frameworks and cross-company partnerships to create our next-generation skilling ecosystem that enables our vision to unify work and skilling together into a seamless, ubiquitous experience.  

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

Responsibilities

Lead UX Product Strategy

• Define and own the end-to-end learner experience vision across agentic-first skilling, through Copilot, and grounded in learning science and human-centered design. Translate enterprise skilling priorities into adaptive, modular experience architecture that activates based on real-time role, behavior, and business context.

Apply Learning Sciences

• Integrate research from cognitive psychology, motivation theory, and adult learning to ensure that agentic skilling experiences are sticky, meaningful, and directly increase productivity. Build learning ecosystems that evolve based on behavioral signals adapting in real time to the learner’s actions, decisions, and development goals.

Design Agent Interactions

• Create frameworks and governance for how learners companywide interact with AI skilling agents, ensuring those conversations feel coherent, contextual, and seamlessly integrated into the flow of work. Collaborate with product, data, and content teams to establish governance protocols for tone, escalation logic, personalization rules, and system interoperability. 

Lead Rapid Prototyping and Testing

• Use tools like Figma to rapidly develop high-fidelity prototypes and test hypotheses with users, iterating based on insights and behavioral data. Develop high-fidelity, context-aware user experiences that evolve through real-time feedback loops. Move beyond static mockups to prototype and test adaptive agent-driven UX flows by co-designing with users, large language models (LLMs), and behavioral data. Continuously validate and optimize designs for user autonomy, contextual relevance, and seamless integration into real-world workflows. 

Integrated Ecosystem

• Ensure seamless experience integration of AI skilling agents across interconnected talent development platforms and tools