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Project Manager

External
XDOF logoXdof · San Mateo Hybrid
Full-timeRemoteToday
Robotics
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Responsibilities

  • End-to-End Project Delivery: Own the full lifecycle of data collection projects - from requirements alignment and solution design through final delivery. Ensure data annotation projects meet client requirements on accuracy and SLA, while satisfying internal cost targets.
  • Collection & Annotation Solution Design: Develop a deep understanding of clients' robot model training needs and commercial terms, translating ambiguous requirements into concrete data collection and annotation specifications.
  • Project Progress & Quality Control: Monitor progress and accuracy across all stages in real time; establish multi-tiered spot-check mechanisms to ensure delivery quality.

Requirements

  • Background: 2-5 years of project management experience; background in AI data services, autonomous driving, or data BPO is a plus.
  • Problem Solving: Strong learning agility and structured thinking - able to quickly identify the crux of complex robotics collection/annotation problems and drive to solutions.
  • International Readiness: Fluent in written and spoken English; comfortable with international travel and potential long-term overseas assignment.
  • Startup Mindset: Thrives in - and genuinely enjoys - fast-moving, ambiguously defined early-stage environments.

Benefits

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.Some things you'll enjoyMarket competitive compensationStock grant opportunities dependent on your role, employment status and locationFreedom to influence the product and own key initiativesCollaboration with top‑tier engineers, researchers, and product experts in AI and roboticsStartup culture prioritising speed, transparency, and minimal bureaucracyEquity / stock options

Additional Information

Our Mission At xdof, we're at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We're building the foundation behind the foundation models - the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain - to help our partners drive the field forward.


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