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Product Design Manager

Lead the design process for tools that enhance the safety of 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
Mid-Level
$107,000 - 222,000 USD / year
3 weeks ago
Applied Intuition

Applied Intuition

Software solutions to safely develop, test, and deploy autonomous systems at scale

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✨ About The Role

- The Product Design Manager will lead the design process for multiple products from concept through implementation. - The role involves shipping new features in 5-week release cycles, emphasizing speed and efficiency in the design process. - Direct communication with users through various channels is crucial to gather feedback and understand their workflows. - Collaboration with Product Managers and Engineers is necessary to create and validate UX solutions for complex engineering challenges. - The candidate will be responsible for authoring PRDs and usability test reports to inform product roadmaps.

âš¡ Requirements

- The ideal candidate will have over 5 years of relevant product design experience, particularly 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, indicating familiarity with the specific challenges and workflows of this sector. - The candidate should be comfortable leading the end-to-end design process and managing multiple products simultaneously. - A proactive approach to user research and strategy development will be beneficial in understanding user pain points and improving UX solutions.
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Product Design Manager
Mountain View, California, United States
$107,000 - 222,000 USD / year
Product
About Applied Intuition
Software solutions to safely develop, test, and deploy autonomous systems at scale