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Principal Product Designer
Lead the design of user-friendly tools for software engineers developing autonomous vehicles.
Mountain View, California, United StatesSan Diego, California, United StatesFt. Walton Beach, Florida, United StatesAnn Arbor, Michigan, United StatesDetroit, Michigan, United StatesWashington, D.C., United StatesStuttgart, GermanyMunich, GermanyStockholm, SwedenSeoul, South KoreaTokyo, Japan
Expert
$179,000 - 238,000 USD / year
2 weeks ago
Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale
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✨ About The Role
- The Principal Product Designer will lead the end-to-end design process for multiple products, from concept through implementation.
- The role involves shipping new features in 5-week release cycles, requiring a fast-paced design approach.
- Direct communication with users is crucial to understand their pain points and gather feedback on tools used in autonomy development.
- Collaboration with product management and engineering teams is necessary to validate UX solutions for complex engineering challenges.
- The designer will also be responsible for expanding and evolving the "Dragonfruit" design system.
âš¡ Requirements
- The ideal candidate will have over 8 years of relevant product design experience, demonstrating a strong background in fast-paced, technical environments.
- Strong written and verbal communication skills are essential for effectively collaborating with users and team members.
- Experience in the autonomous vehicle industry is a plus, showcasing an understanding of the specific challenges faced in this field.
- A proven track record of shipping software products successfully, particularly in environments that prioritize speed and efficiency.
- The candidate should be highly collaborative, able to work closely with product managers and engineers to create impactful UX solutions.
Principal Product Designer
Mountain View, California, United States
$179,000 - 238,000 USD / year
Product
About Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale