Senior Product Designer | US

Degreed is an enterprise learning system that helps organizations support workforce transformation through learning resources, skills insights, and AI-driven development. The Senior Product Designer will own end-to-end product design across learning and skills platforms, extend the design system, and create AI-native and conversational experiences. The role partners closely with customers, product managers, engineers, and cross-functional stakeholders to improve usability and product impact.

Responsibilities:

• Own end-to-end design for features across Degreed's learning and skills platform, from problem framing and discovery through specs and QA through launch and impact
• Lead customer calls or seek customer feedback directly to build design and product sense
• Consistently push to improve quality, usability, and user experience
• Extend and maintain Degreed's design system, evaluating when a new component is warranted versus when an existing one should be reused
• Audit existing surfaces, such as admin settings, profile, and core learning workflows, and rework them to reduce inconsistency as the product grows
• Decide, for every new workflow, whether it needs a visible UI at all, and what AI can handle invisibly versus what still needs to stay observable and auditable for the user
• Design conversational and agent-facing experiences alongside traditional UI, extending the design system and emerging AI interaction patterns rather than treating them as a separate design language
• Partner with product and tech leads to scope work and define the requirements
• Present work in design review and incorporates cross-functional feedback while protecting the core interaction model from erosion
• Act as the expert for the pod / product areas of focus, being a key stakeholder for questions from cross functional stakeholders

Requirements:

• Able to take ambiguous or conflicting input from enterprise customers — via solutions, sales, or direct research — from framing through a scoped, buildable spec, owning the interaction model and visual execution rather than one or the other and distinguishing a stated request from the underlying need
• Able to evaluate whether a workflow needs a visible UI at all, weighing whether the outcome is observable, reversible, and auditable before deciding AI can handle it invisibly
• Comfortable building interactive, near-functional prototypes, using code or AI-assisted tools, to test a direction before it's fully specced
• Experienced with prompt engineering to build and test conversational agents. Working understanding of what AI can and can't do reliably (accuracy, latency, context limits) — enough to judge feasibility of AI product capabilities and limitations
• Uses AI to prototype interactions quickly, generate and compare component variations, and identify where a workflow can be delegated to AI instead of built as UI
• Experience extending and maintaining a component-based design system, with the judgment to know when an existing pattern should be reused and when a new one is actually justified
• Strong focus on end users, key decision makers and value provided. Comfortable conducting discovery research and usability tests and using that input to inform design decisions
• Own end-to-end design for features across Degreed's learning and skills platform, from problem framing and discovery through specs and QA through launch and impact
• Lead customer calls or seek customer feedback directly to build design and product sense
• Consistently push to improve quality, usability, and user experience
• Extend and maintain Degreed's design system, evaluating when a new component is warranted versus when an existing one should be reused
• Audit existing surfaces, such as admin settings, profile, and core learning workflows, and rework them to reduce inconsistency as the product grows
• Decide, for every new workflow, whether it needs a visible UI at all, and what AI can handle invisibly versus what still needs to stay observable and auditable for the user
• Design conversational and agent-facing experiences alongside traditional UI, extending the design system and emerging AI interaction patterns rather than treating them as a separate design language
• Partner with product and tech leads to scope work and define the requirements
• Present work in design review and incorporates cross-functional feedback while protecting the core interaction model from erosion
• Act as the expert for the pod / product areas of focus, being a key stakeholder for questions from cross functional stakeholders