Senior Data Project Manager

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.

MISSION

Turn approved robot data requirements into reliable, scalable programs, serving as the technical bridge between Research/Engineering and Data Operations.

RESPONSIBILITIES

- 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.

QUALIFICATIONS

- 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.