• Own end-to-end design for a web application for corporate users who own the grocery replenishment function, spanning ordering, exceptions, configuration, and performance. • Design reporting, insights, and performance dashboards, from table stakes today toward conversational, AI-powered analytics. • Design exception-based workflows and controls (ordering, display size, configuration, order policy tuning) that let corporate users manage operations without technical depth. • Shape agentic and conversational experiences that surface AI-powered insights to less-technical customers. • Own shared portal services UX (admin, permissions, authorization, multi-role) that no single team owns today. • Build reusable components and keep UX consistent across portal surfaces. • Ship quickly with the Ordering product and engineering teams using modern AI-assisted tools, and partner with design leadership on cross-product coherence.

• 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.

• Lead end-to-end design for products • Collaborate with cross-functional teams to define product strategy • Conduct usability testing to inform design decisions • Develop user flows, wireframes, prototypes and high-fidelity designs • Design visual systems and patterns for scalability • Advocate for user-centric design and deliver exceptional product experience • Mentor a team of designers

• Lead and develop a team of Product Designers by providing coaching, mentorship, performance feedback, and clear direction while fostering an inclusive, high-performing team culture. • Partner with Product, Engineering, Research, Data Science, and business stakeholders to shape product strategy, influence roadmap priorities, and align teams around customer and business outcomes. • Guide the design and delivery of intuitive, cohesive customer experiences by helping teams navigate ambiguity, frame complex problems, and translate strategy into high-quality product solutions. • Champion design excellence by elevating product thinking, interaction design, systems thinking, and customer-centered decision-making while continuously improving design processes, planning, critiques, and collaboration. • Drive operational excellence by using data, customer insights, AI-powered capabilities, and emerging technologies to improve decision-making, increase team efficiency, and strengthen the overall product development process.