Blue River Technology

Product Manager

• Own strategy, roadmap, and outcomes for one or more Platform offerings or cross-cutting capabilities
• Build tight feedback loops with program teams and engineers to understand real constraints in the field
• Translate problems into crisp requirements, success metrics, and prioritized backlogs; make explicit tradeoffs across speed, reuse, reliability, and customization
• Partner with engineering and design to ship iteratively—APIs, tooling, workflows, and user experiences that teams adopt and keep using
• Drive onboarding, documentation, enablement, and rollout plans; measure adoption and unblock teams during integration
• Set the bar for production readiness (reliability, observability, supportability, and backward compatibility)
• Coordinate dependencies across Platform and program teams; reduce duplication and converge on shared building blocks where it matters
• Define and track product metrics and use them to drive priorities and investment decisions
• Keep stakeholders aligned through clear narratives, status updates, decisions, and risk assessments, especially when priorities conflict or timelines shift.

Product Manager – Platform

Engineering Manager

• Own the entire data, perception ML, and analytics stack, from raw sensor ingest to optimized edge inference and fleet-level performance visibility.
• Lead a small perception team while remaining deeply hands-on.
• Be accountable for how data is collected, curated, trained, deployed, measured, and improved in production.
• Drive technical excellence ensuring models thrive on-vehicle in unpredictable off-road environments.
• Champion a 'hardware-first' mindset for real-time inference and resource efficiency on NVIDIA hardware.
• Maintain rigorous code quality and system design standards through mentorship and hands-on reviews.
• Shift focus from 'model chasing' to 'data curation,' building active learning loops that turn field failures into training successes.
• Bridge the gap between offline validation and real-world autonomy outcomes; ensure the team optimizes for vehicle performance, not just loss functions.
• Provide high-signal leadership translating complex ML trade-offs into actionable insights for leadership and cross-functional partners.
• Collaborate with Data Engineering and Field Ops to ensure fleet analytics dashboard remains the 'source of truth' for autonomy readiness.

Product Manager – Platform

Engineering Manager, Perception