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Applied Intuition is a $15B-valued company (founded 2017) powering physical AI infrastructure for autonomous and intelligent vehicles. The company serves automotive, defense, trucking, construction, mining, and agriculture sectors, trusted by 18 of the top 20 global automakers and the US military.
You will own the Cabin Intelligence product platform end-to-end, covering in-vehicle software experiences, tooling, and AI-powered cabin features. This role bridges engineering, design, and customer needs across global OEM partners in multiple industries.
Key responsibilities:
- Define strategy and roadmap for the Cabin Intelligence platform, tooling, and applications
- Ship production-grade in-vehicle experiences, balancing scalable platform architecture with OEM-specific customization needs
- Collaborate with engineering and design teams to prioritize impactful deliverables from POC through SOP (start of production)
- Own key technology partnerships (AI models, voice, content, SoC vendors), including build vs. buy vs. partner decisions
- Partner with business development and marketing on customer pitches, go-to-market positioning, and pricing strategy
- Work directly with OEM customers to gather feedback and ensure product alignment with production requirements
Applied Intuition maintains an in-office culture (5 days/week primary expectation) with flexibility for occasional remote work and schedule adjustments.
REQUIREMENTS:
- 2+ years of Product Management experience at a top tech company or high-growth startup
- Experience at an automotive, trucking, or other OEM, or at a supplier building products for them
- Track record of shipping user-facing software, ideally on embedded or connected-device platforms
- Strong technical background with understanding of and/or hands-on experience in software development
- MS/BS degree in Computer Science, Engineering, or equivalent
- Experience managing external partners or vendors
- Excellent written and verbal communication skills
NICE TO HAVE:
- Experience with Android Automotive OS (AAOS), digital cockpit, or HMI products
- Experience with ADAS visualization, 3D rendering, or graphics engines (e.g., Flutter, Unreal)
- Experience building voice assistants, conversational AI, or on-device ML products
- Experience building developer tools or design systems
- Previous founder or early startup experience