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 frompilot, scale-up, production, to delivery.

• Coordinate acrossResearch, 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 clearsingle 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 deliveredon 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.