Product Manager, Blue River Technology

• 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
• We are dedicated to building a diverse and inclusive workplace, so if you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway

Desirable

• We are seeking an experienced Senior Product Manager to join our Platform organization. We build the foundational components and cloud services that help internal program teams launch, operate, and continuously improve Intelligent Machines, without each program having to rebuild the same core capabilities
• In this role, you’ll own one or more Platform offerings and/or cross-cutting capabilities across our portfolio (assignment based on priorities and fit). You’ll work at the intersection of robotics software, ML systems, fleet operations, and developer experience—turning ambiguous needs into clear product bets, production-ready releases, and capabilities teams actually adopt in the field
• 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 decisions
• Stakeholder Communication: Keep stakeholders aligned through clear narratives, status updates, decisions, and risk assessments, especially when priorities conflict or timelines shift