| Location | Mountain View, California |
At Rhoda AI, we’re building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $450M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality.
Turn approved robot data requirements into reliable, scalable programs, serving as the technical bridge between Research/Engineering and Data Operations.
Translate data requirements into executable plans, milestones, owners, dependencies, and timelines.
Drive programs from pilot, scale-up, production, to delivery.
Coordinate across Research, Hardware, Software, Data Infra, and Operations, including vendor dependencies through the Data Operations team.
Own program schedule, dependencies, risks, blockers, issue tracking, and escalation.
Establish a clear single source of truth through dashboards, documentation, and operating cadences.
Build scalable processes for how Research, Engineering, and Operations work together.
Dive into technical and operational details when needed, including data quality issues, hardware readiness, and cross-functional bottlenecks impacting data delivery.
Ensure data programs are delivered on time, at the required quality, and at the required scale.
5+ years leading complex technical programs across engineering/R&D and operations.
Strong technical literacy across hardware, software, data systems, or robotics.
Demonstrated ability to bring structure to ambiguous, fast-changing programs.
Strong cross-functional leadership and ability to drive execution without direct authority.
Hands-on mindset; comfortable investigating details rather than only managing schedules.
Robotics, autonomous vehicle, AI data, or hardware-software systems experience preferred.