EasyLlama - HR & Compliance Training For Modern Teams

Product Designer

• Design the end-to-end systems that drive customer value: onboarding, product and content discovery, training course assignment flows, cross-product expansion, and AI agents that own meaningful tasks and programs.
• Define interaction models for platform-level systems - not just UI layers or “more modals” - covering content metadata, training assignment logic, document and policy management, recertification automation, and cross-product orchestration.
• Translate complex platform architecture into clear, intuitive, and trusted user experiences
• Own the simplification of EasyLlama's most critical UX challenges, such as framing features that are orchestrated into a cohesive, multi-product user experience.
• Design AI-driven systems - recommendation engines, intelligent automation, and AI agents that are usable, trustworthy, and effective.
• Embed AI workflows and actionable guidance into the product in ways users understand and trust.
• Partner with Product Management and Legal experts to design and innovate within defined guardrails for compliance-critical AI experiences.
• Treat AI not as a feature, but as a foundational layer of the systems you are designing.
• Use of AI tooling within your workflow, such as prototyping with modern AI tools (Lovable, v0, Figma Make, etc.) to create clickable MVPs in a day, rapidly turning rough prototypes into dev-ready specs.
• Act as a Design Leader across platform initiatives, influencing decisions beyond your immediate scope
• Partner closely with Senior Management, Product Management, Engineering, and Data Analytics Leads
• Contribute new patterns to the EasyLlama Design System as required for platform-scale complexity, partnering with the Design System owner to extend capabilities consistently across multi-product experiences
• Workshop with Senior Management and Leaders (CxOs, VPs, PMs) to propose, frame, and design UX experiments and hypotheses.
• Define test variants and success criteria; prototype and iterate rapidly based on results
• Design for measurable impact - not subjective preference - balancing speed of iteration with design system consistency.
• Partner with Data & Analytics to track and improve core metrics such as our course assignment rate, activation, retention, and expansion signals.

Staff Product Designer