Note: The job is a remote job and is open to candidates in USA. Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. As the Principal Product Manager for AI Cameras & Video Safety, you will lead the vision, strategy, and execution of connected camera products, ensuring their performance and integration within the company's Safety and Fleet software suite.
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
Skills
- 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)
Benefits
- Health, pharmacy, optical and dental care benefits
- Paid time off
- Sick time off
- Short term and long term disability coverage
- Life insurance
- 401k contribution (all benefits are subject to eligibility requirements)
Company Overview
Motive is a fleet management and driver safety platform that helps improve the safety, productivity, and profitability of fleet operations. It was founded in 2013, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://gomotive.com.