- Hunt for data and customer opportunities by leveraging internal data tools and conducting user testing.
- Make product decisions by balancing intuition, data, and research to determine scope and delivery.
- Design product solutions using tools like Figma, Claude, or Cursor, and refine designs in code where appropriate.
- Partner with engineering pods to collaborate on delivering value and shaping the product.
- Build and evolve design systems, utilizing LLM code assistants to improve product quality.
- Bridge digital and physical operations by designing solutions that account for real-world workflow implications.
- Evolve design processes by integrating AI and LLMs to automate repetitive tasks.
- Drive alignment across stakeholders through clear communication throughout the design process.
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