Strategic Project Lead

XDOF; San Mateo; On-site; PHP 600,000 - 1,000,000; Full time

Benefits offered by this job

Market compensation

Stock grants (role-based)

Impactful product initiatives

Collaboration with AI/robotics experts

Startup culture

Job summary

XDOF is seeking a proactive Project Manager to lead end-to-end data collection and annotation initiatives for robotics and AI training data. You will own projects from requirements alignment to delivery, coordinating global teams across multiple time zones to meet client specifications and SLAs.

You will translate ambiguous customer needs into concrete data specifications, drive continuous quality control, and collaborate with product, engineering, and operations to ensure scalable workflows in

Qualifications

• 2–5 years of project management experience in AI data services or related fields.
• Strong learning agility and structured problem-solving approach.
• Excellent cross-functional communication and coordination across time zones.
• Fluency in written and spoken English; willing to travel internationally.
• Startup mindset with ability to thrive in ambiguous, fast-moving environments.

Responsibilities

• Own the full lifecycle of data collection projects from requirements through delivery.
• Translate client needs into data collection and annotation specifications.
• Coordinate teams across China, the US, and Southeast Asia to ensure timely delivery.
• Monitor progress and quality across all stages with real-time checks.

Job description

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.

What You'll Do

• 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.
• Global Team Coordination: 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.
• Project Progress & Quality Control: Monitor progress and accuracy across all stages in real time; establish multi-tiered spot-check mechanisms to ensure delivery quality.

Who You Are

• 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.
• Cross-Functional Coordination: 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.
• 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.

What We Offer

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 enjoy

• 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