Senior Data Project Manager
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About this role
Employer-provided description, formatted for easier reading.
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.