About The Role
Motive is making significant investments in AI cameras and video safety, which form the physical foundation of their platform. The Vision & Safety product line, driven by flagship AI cameras, is central to their industry-leading Safety and Fleet software suite and represents a major strategic growth area. The company helps customers prevent accidents, protect drivers, and manage fleets using high-performance, AI-powered cameras, advanced computer vision, and in-cab alerting technology.
As the Principal/Director Product Manager, Connected Devices (Vision & Safety), you will be the dedicated product leader for the device and firmware aspects of this critical line. You will own the vision, strategy, and execution for category-defining connected camera products, including the AI Dashcam+ and AI Omnicam. This role involves defining the next generation of intelligent edge devices and ensuring the flawless performance of over 1 million devices already deployed, thereby forming the literal foundation for Motive's Safety and Fleet software suite offerings and significantly influencing the entire product roadmap.
This is a deeply cross-functional role, bridging physical systems and cutting-edge Artificial Intelligence. You will collaborate closely with Electrical Engineering, Embedded/Firmware, Mechanical, AI/ML, Quality, Manufacturing, Supply Chain, and TPM teams, as well as software, cloud, and mobile teams that consume device data. The ideal candidate is a technically fluent product leader who thrives in ambiguity, is energized by hardware development, and can confidently navigate silicon roadmaps, regulatory certification, firmware releases, and customer safety workflows.
What You'll Do
- Own the vision and execution of Motive's AI-powered vision & safety hardware and its corresponding software and firmware capabilities.
- Set and articulate the product's vision, securing buy-in from executive leadership.
- Drive New Product Introductions (NPIs) from ideation through implementation and launch, ensuring excellent execution across hardware, firmware, web, and mobile platforms.
- Make critical trade-offs across AI computing, installation experience, form factor, battery, and connectivity to deliver a winning safety solution aligned with business outcomes.
- Define and prioritize firmware features to extend the value of over 1 million hardware devices in the field, optimizing user experience, connectivity resilience, AI model deployment, and fleet-level observability.
- Write robust PRDs and technical specs that clearly define problems, constraints, and decisions, ensuring alignment across all relevant engineering and operations teams.
- Collaborate across multiple product, engineering, and go-to-market teams to deliver products that customers value.
- Define and analyze performance metrics to measure product success in the market, including AI detection accuracy, driver coaching effectiveness, and device reliability.
- Drive go-to-market readiness by partnering with Product Marketing, Sales, Customer Success, Support, and Install teams on positioning, enablement, and rollout planning for every NPI and major feature release.
What We're Looking For
- 7+ years of product management experience, with substantial time shipping camera, video, or computer-vision products from concept to launch and sustaining them through iteration.
- Deep technical fluency in camera and edge-compute systems, including image quality, ISP and sensor trade-offs, lens selection, and device-level constraints (compute headroom, memory, thermal envelope, power, bandwidth) that impact AI workloads.
- Proven ownership of at least one full hardware NPI that achieved significant volume (ideally 100K+ units), preferably a connected camera or similar 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 consuming 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 teams without direct authority.
- Customer empathy paired with data fluency – a diligent approach to understanding customer mindsets and using data for ruthless prioritization.
- High emotional intelligence under pressure – comfortable managing multiple competing priorities and tight deadlines in a fast-paced environment.
- Excellent written and verbal communication skills, with the ability to communicate fluently with 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.
Bonus Points:
- 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).