Product Manager, Platforms

• Product Ownership: Own strategy, roadmap, and outcomes for one or more Platform offerings or cross-cutting capabilities
• Customer Discovery: Build tight feedback loops with program teams and engineers to understand real constraints in the field (messy data, variable environments, operational risk)
• Requirements & Tradeoffs: Translate problems into crisp requirements, success metrics, and prioritized backlogs
• make explicit tradeoffs across speed, reuse, reliability, and customization
• Cross-Functional Execution: Partner with engineering and design to ship iteratively—APIs, tooling, workflows, and user experiences that teams adopt and keep using
• Adoption & Rollout: Drive onboarding, documentation, enablement, and rollout plans
• measure adoption and unblock teams during integration
• Platform Quality: Set the bar for production readiness (reliability, observability, supportability, and backward compatibility) and prevent “it works in the lab” releases
• Portfolio Alignment: Coordinate dependencies across Platform and program teams
• reduce duplication and converge on shared building blocks where it matters
• Metrics & Outcomes: Define and track product metrics and use them to drive priorities and investment
• Stakeholder Communication: Keep stakeholders aligned by clearly articulating narratives, status updates, decisions, and risks, especially when priorities conflict or timelines shift

• 5+ years of proven experience as a Product Manager, with a strong track record of successfully launching and managing complex technical products
• Deep understanding of robotics, autonomous systems, and machine learning technologies
• Familiarity with the areas of perception, environmental understanding, machine learning, path planning, and actuation
• Demonstrated experience as a product leader in designing, developing, or managing embedded technologies and software solutions for edge devices or autonomous systems
• Bachelor's or advanced degree in computer science, engineering, or a related field
• Exceptional analytical and problem-solving skills
• Familiarity with software development methodologies (Agile, Scrum, etc.)
• Ability to work collaboratively in a fast-paced, cross-functional environment
• Strong problem-solving skills and the ability to navigate complex technical challenges
• Excellent communication skills, with the capability to convey technical concepts to both technical and non-technical stakeholders

• Previous involvement in projects related to autonomous systems, machine learning, computer vision, or artificial intelligence
• Experience building platform products used by other engineering teams: clear APIs/SDKs, documentation, onboarding paths, and a track record of driving adoption without mandates
• Familiarity with fleet operations/telemetry/incident or triage workflows/OTA updates/remote diagnostics
• Experience with cloud platforms and data-intensive systems (pipelines, storage, observability, analytics)
• Familiarity with cloud computing platforms and services for edge computing and remote device management
• Prior experience collaborating with cross-functional teams and leading product development efforts
• A track record of innovation or research contributions in the field of autonomous robotics

bonus and benefit programs