Company Overview
Applied Intuition is a leading vehicle software provider accelerating the adoption of safe and intelligent machines worldwide.
Founded in 2017, we deliver AI-powered ADAS/AD tools, vehicle platforms, and autonomy stacks to help customers reduce time to market, enhance system quality, and revolutionize consumer experiences.
Trusted by 18 of the top 20 global automakers, our solutions drive innovation across automotive, trucking, construction, mining, agriculture, and defense industries. Headquartered in Mountain View, CA, we have offices in Ann Arbor, Detroit, Washington D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo.
Product Manager – Applied Intuition
About Us
Applied Intuition is a leading vehicle software supplier accelerating the adoption of safe and intelligent machines worldwide. Founded in 2017, we provide AI-powered ADAS/AD tools, Vehicle OS, and an autonomy stack to help customers reduce time to market, enhance system quality, and redefine user experiences. Trusted by 18 of the top 20 global automakers, we serve industries including automotive, trucking, construction, mining, agriculture, and defense. Headquartered in Mountain View, CA, we have offices across the U.S., Europe, and Asia.
About the Role
We are seeking a Product Manager to drive innovation, bridge communication between engineering and customers, and define product strategy for our autonomous vehicle solutions. You’ll collaborate across teams to design and deliver world-class products in a dynamic environment.
Responsibilities
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Understand customer needs, identify gaps, and develop innovative solutions.
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Define and communicate product vision, securing buy-in from stakeholders.
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Prioritize product roadmap based on business impact and customer value.
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Work closely with engineering teams to deliver high-quality solutions efficiently.
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Act as a product evangelist, engaging with customers for feedback and market insights.
What We’re Looking For
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6+ years of experience in tech product management (preferably in B2B software, automotive, or AI/ML).
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Strong technical background with hands-on software development knowledge.
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Proven track record of leading successful product lifecycles.
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Exceptional problem-solving, communication, and leadership skills.
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MS/BS in Computer Science, Engineering, or related field.
Preferred Qualifications
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Experience managing teams or working in early-stage startups.
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Background in autonomous vehicles, automotive tech, or AI-driven software.
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Exposure to product management best practices from leading tech companies.