Principal Product Manager, AI Cameras & Video Safety

Motive empowers physical operations with tools for safety and productivity, and they are seeking a Principal Product Manager for AI Cameras and Video Safety. This role involves leading the vision and execution of AI-powered hardware and software solutions, ensuring the performance of connected camera products and driving new product introductions.

Responsibilities:

• Own the vision and execution of our AI-powered vision & safety hardware and the corresponding software and firmware capabilities
• Set and articulate the product's vision, and gain buy-in from our CEO, CPO, CTO, and VP Connected Devices
• Drive New Product Introductions (NPIs) from ideation through implementation and launch, focusing on excellent execution across hardware, firmware, web, and mobile platforms
• Make the hard trade-offs across AI computing, installation experience, form factor, battery, and connectivity to deliver a winning safety solution that aligns with business outcomes
• Define and prioritize firmware features that extend the value of over 1M+ hardware devices in the field by optimizing user experience, connectivity resilience, AI model deployment, and fleet-level observability
• Write strong PRDs and technical specs that frame the problem, the constraints, and the decisions, ensuring alignment across Hardware, Firmware, Mechanical, Quality, Manufacturing, Supply Chain, and TPM
• Collaborate across multiple product, engineering, and go-to-market teams to ship the products that our customers love
• Define and analyze performance metrics to measure the success of our products in the market, including AI detection accuracy, driver coaching effectiveness, and device reliability (RMA and field failure rates)
• Drive go-to-market readiness by partnering with Product Marketing, Sales, Customer Success, Support, and Install on positioning, enablement, and rollout planning for every NPI and major feature release

Requirements:

• 7+ years of product management experience, with meaningful time shipping camera, video, or computer-vision products from concept to launch and sustaining them through post-launch iteration
• Deep technical fluency in camera and edge-compute systems — image quality, ISP and sensor trade-offs, lens selection, and the device-level constraints (compute headroom, memory, thermal envelope, power, bandwidth) that determine what AI workloads the platform can support
• Proven ownership of at least one full hardware NPI that reached material volume (ideally 100K+ units), preferably a connected camera or other video-capable device
• Strong technical fluency across the full IoT stack — embedded firmware, cellular and low-power wireless connectivity (LTE/5G, Wi-Fi, BLE), GNSS/location, and the mobile and cloud software that consumes device data
• Working familiarity with automotive and telematics protocols such as CAN, OBD-II, and J1939, and an understanding of how vehicle data complements video and sensor streams
• Demonstrated ability to lead ambiguous, cross-functional initiatives and influence roadmaps across engineering, operations, and GTM without direct authority
• Customer empathy paired with data fluency — you work diligently to understand customers' mindsets and use data to prioritize ruthlessly
• High 'EQ' under pressure — comfortable handling multiple competing priorities and tight deadlines in a fast-paced environment
• Excellent written and verbal communication, with the ability to move fluently between executives, hardware/firmware engineers, GTM teams, and customers
• Trailblazer mindset — humble, kind, and open to learning, with a strong bias to action and a willingness to commit and disagree productively
• BA/BS in Electrical Engineering, Computer Science, Industrial Design, Mechanical Engineering, Embedded Systems, or a related technical field — or equivalent practical experience
• Experience launching cellular-connected video devices at scale (dashcams, security cameras, body cameras, or similar)
• Experience co-developing connected camera platforms with an in-house AI/CV team — translating model requirements into silicon, sensor, and thermal decisions, and balancing AI compute against cost, power, and form factor
• Background in fleet safety, telematics, ADAS, or automotive technology
• Familiarity with regulatory and certification regimes for connected video devices (FCC, CE, PTCRB, GCF, automotive EMC)