Degreed is the leading enterprise learning system for workforce transformation, bringing together everything people need to learn and advance: courses, videos, articles, projects, and real-world skill insights, matched to individual roles, skills, and goals.

For businesses, Degreed builds the infrastructure for a culture of learning that attracts, develops, and retains top talent, driving performance at scale. Named to Fast Company's World's Most Innovative Companies of 2026 — alongside Google, Nvidia, and Adidas — Degreed is recognized for its AI-driven approach to closing the human readiness gap and turning learning ambition into measurable impact.

We believe learning is the key to unlocking opportunity, and our mission is to discover, empower, and celebrate the next generation of global expertise. Join us in shaping the future of learning and workforce development!

About the Role

Degreed's product design team shapes how people at large enterprises learn, build skills, and get coached by AI, across our learning platform, our skills data layer, and our AI coach, Maestro. You'll help extend our design system, while also rethinking what still needs a screen at all as AI takes on more of the work. That means design decisions that go beyond the visual: what should disappear into automation, and what needs to stay observable and reversible for the person using it.

Degreed's product spans dense admin tools built for L&D teams managing large organizations and lighter, browsable experiences built for individual learners, sometimes on the same page for the same feature. You'll carry real ownership across that range, working directly with the engineers and product managers building alongside you rather than through a hand-off process. The team is distributed and remote-first, and the work itself is what sets the pace.

Key Skills

Product design craft: 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.
AI-native design judgment: 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.
Prototyping to validate direction: Comfortable building interactive, near-functional prototypes, using code or AI-assisted tools, to test a direction before it's fully specced.
Prompt engineering and technical understanding. 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.
Ability to leverage AI tools and technologies: 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.
Design systems fluency: 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.
Customer understanding and research: 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.

Key Responsibilities

Design & Craft

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.

AI-First Practice

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

Senior Product Designer | US at Degreed