• End-to-end product design: drive discovery, define requirements, and deliver solutions to solve customer problems and create measurable business value. • Lead projects: drive discovery and delivery for projects in your pod, often serving as the project lead. • Design and ship: create high-quality features and improvements, from early concepts to final implementation. • Conduct research: run user research and analyze data to deeply understand customer needs and validate solutions. • Make product decisions: determine what to build, what to cut, and when to ship based on user needs and business goals. • Collaborate with engineering: partner closely with engineers to balance design quality with technical feasibility and development timelines. • Build design systems: contribute to and evolve our design system, creating reusable patterns that strengthen the overall product. • Bridge digital and physical: design solutions that work seamlessly across software interfaces and real-world operations, considering the full customer journey. • Evolve how we design: stay curious about new tools and workflows (including AI-assisted approaches) and help improve how we deliver value through design. • Drive alignment: communicate clearly with stakeholders across the company, keeping teams aligned throughout the design process.

• Design end-to-end web experiences, owning the full process from concept through launch • Conduct customer interviews and usability tests, then leverage both qualitative feedback and quantitative data—tracking user behavior, analyzing metrics, and running experiments—to validate and iterate on designs • Collaborate with product, engineering, and business stakeholders to define problems, explore solutions, and ship features • Create simple, logical UI that makes complex workflows feel effortless • Balance user advocacy with business goals and technical constraints • Make smart tradeoffs between speed, learning, and competing priorities • Lead design reviews with external partners and build strong cases for design decisions

• Design dashboards, reports, and visualizations that help admins, managers, and buyers understand collaboration health, adoption, and impact. • Translate complex datasets into clear narratives that highlight trends, patterns, and outcomes, not just metrics. • Design insight-driven experiences that prompt action, including re-engagement, enablement, and team-level interventions. • Create thoughtful export and sharing flows that support reporting, stakeholder communication, and external analysis. • Partner closely with data science and data engineering to shape how data is modeled, surfaced, and explained. • Design permissioning and privacy-aware experiences that balance insight with trust and control. • Prototype and iterate on exploratory concepts, including reflective or summary experiences that make data feel meaningful and motivating. • Use qualitative and quantitative feedback to refine designs based on real customer questions and behaviors.

• Design in-product discovery surfaces that introduce users to Mural’s value and guide them toward meaningful starting points. • Collaborate with IAM to design growth-oriented sign-up and identity flows that support multiple one-click OAuth and IAM options, balancing speed, trust, and clarity. • Contribute to Mural’s design system by adding patterns that support growth and monetization use cases • Shape onboarding journeys that preserve intent and messaging from discovery through first success and early engagement. • Design goal-oriented product paths that help users quickly achieve outcomes aligned to why they showed up. • Partner with growth designers, product managers, engineers, and data teams to design, ship, and iterate on experiments across discovery and activation. • Create high-craft UX and UI that balances speed, clarity, and scalability within a complex application. • Use qualitative and quantitative signals to refine designs based on behavior, drop-off points, and experiment outcomes. • Prototype rapidly with AI tooling to explore ideas, align teams, and validate hypotheses before and after release. • Share growth approaches for designing discovery, onboarding, and identity flows with peers through critique and collaboration. • Partner with research, data, and product teams to elevate experimentation quality and improve how Mural understands user value signals. • Contribute to a culture of design excellence, especially in areas where growth and monetization intersect with core product experiences. • Reframe growth problems as end-to-end journeys, not isolated flows or entry points. • Collaborate with design, product and data partners to define success metrics tied to user intent and outcomes, not just clicks or conversion rates. • Collaborate with product, research, and data science to define success metrics, interpret experiment outcomes, and prioritize next steps. • Advocate for reducing friction while protecting user trust, accessibility, and long-term product health. • Help teams understand how discovery, identity, and onboarding decisions shape downstream engagement and retention.