Project Manager

XDOF • San Francisco, CA

12d

About The Position

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.

Requirements

• 2–5 years of project management experience
• Strong learning agility and structured thinking — able to quickly identify the crux of complex robotics collection/annotation problems and drive to solutions.
• Able to serve as the central hub connecting product, engineering, data, operations, and overseas annotation teams.
• Exceptional communicator and coordinator who can mobilize resources across the organization and keep projects moving efficiently across time zones and languages.
• Fluent in written and spoken English
• Comfortable with international travel and potential long-term overseas assignment.
• Thrives in — and genuinely enjoys — fast-moving, ambiguously defined early-stage environments.

Nice To Haves

• Background in AI data services, autonomous driving, or data BPO is a plus.

Responsibilities

• 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.
• Develop a deep understanding of clients' robot model training needs and commercial terms, translating ambiguous requirements into concrete data collection and annotation specifications.
• Coordinate teams across China, the US, and Southeast Asia — including data collection, hardware/software engineering, algorithm, and internal/external annotation teams — to drive delivery outcomes.
• Proactively surface blockers and issues in collection or annotation workflows, and mobilize resources to resolve them.
• Monitor progress and accuracy across all stages in real time; establish multi-tiered spot-check mechanisms to ensure delivery quality.

Benefits

• Market competitive compensation
• Stock grant opportunities dependent on your role, employment status and location
• Freedom to influence the product and own key initiatives
• Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics
• Startup culture prioritising speed, transparency, and minimal bureaucracy

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed