Prompt Engineering Internship Remote Jobs in Oregon

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.

• 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. 
  

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 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.

Collaboration

• 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.