Product Manager - Devices

Responsibilities

• Own the vehicle data roadmap end-to-end - on-device CAN/J1939/OBD-II data capture, decoding, and normalization through to the VDS - ensuring data is delivered in a scalable, extensible format.
• Drive the VDS roadmap , including ADAS feature integration and the alert decoration framework that enriches safety events with contextual vehicle telemetry.
• Partner with internal PM stakeholders across safety, analytics, compliance, and coaching to understand their data and enrichment needs and ensure the vehicle data platform enables their solutions.
• Define and execute OEM integration strategy , expanding vehicle data coverage through partnerships with truck and vehicle OEMs and support for proprietary data protocols.
• Establish and maintain the vehicle data contract - schema, supported parameters, ADAS event types, decoration logic, and delivery mechanisms - so consuming teams have a reliable, well-documented interface.
• Translate requirements into actionable PRDs, user stories, and acceptance criteria , balancing priorities across internal teams, OEM partners, and customers.
• Collaborate with hardware, embedded software, and CAN engineering teams to align vehicle data features with device capabilities, service architecture, and release timelines.
• Conduct competitive analysis on vehicle data and telematics offerings to inform differentiation and roadmap priorities.
• Monitor KPIs across vehicle data coverage, decode accuracy, ADAS event capture, alert decoration completeness, and internal platform adoption.

Requirements

• Bachelor's degree required; engineering, computer science, or related technical field preferred.
• 5+ years of industry experience with at least 3 years in product management in a technology or automotive/fleet environment.
• Demonstrated experience with vehicle data systems, including CAN bus protocols (J1939, OBD-II/J1979) or vehicle telemetry.
• Experience with ADAS systems or OEM safety platform integration is highly desirable.
• Experience in a platform-oriented PM role where internal teams are key consumers is a plus.
• Familiarity with Agile methodologies and tools (JIRA, Confluence).
• Skills & Knowledge
• Strong understanding of vehicle communication protocols (CAN, J1939, OBD-II) and data decoding/normalization.
• Knowledge of ADAS technologies and how safety systems surface events via CAN or proprietary interfaces.
• Ability to work closely with specialized engineering teams (CAN engineering, data engineering) to define technical requirements, validate data quality, and drive issue resolution.
• Platform thinking - ability to design extensible data products and interfaces that serve multiple consuming teams.
• Strong stakeholder management across internal PM teams and external partners.
• Excellent analytical, problem-solving, and communication skills (verbal and written).
• Self-starter comfortable operating in a fast-paced, evolving environment.
• San Diego Pay Range
• $110,000 - $145,000 USD
• If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
• Netradyne is an equal-opportunity employer.
• Applicants only - Recruiting agencies do not contact.
• Recruitment Fraud Alert!
• There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne

Benefits

Additional Information

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. Job Description We are seeking a Device Product Manager to own the end-to-end Vehicle Data product roadmap - from on-device CAN data capture through the Vehicle Data Service that powers downstream solutions across the organization. This includes CAN-based feature development, OEM integration, vehicle ADAS features, and safety alert contextualization capabilities. Vehicle data from the device serves as a foundational data layer consumed by multiple internal product teams (safety, analytics, compliance, coaching), making cross-PM collaboration central to this role. The ideal candidate brings a platform mindset and can operate across the full device-to-cloud data pipeline, working hand-in-hand with CAN engineering and data engineering teams to ensure data accuracy, coverage, and reliability from source to service.

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