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xdof

LATAM Operations Lead

  • Mexico
  • Full-time
  • Posted

Skills

  • Blueprint Reading
  • Logistics
  • Machine Learning
  • Microsoft Excel
  • Negotiation
  • Operations
  • Portuguese
  • Robotics
  • SQL
  • Spanish

Job description

Role Mission

Own the build-out of XDOF’s ground-level data acquisition operation in LATAM (Mexico/Brazil), taking the region to a fully operating, self-auditing local network. This role owns the end-to-end pipeline of securing high-fidelity physical-world data (Egocentric, Teleoperation, etc.) — from signing individual high-value venues to institutionalizing multi-scenario local partnerships.

Location:

Based in Mexico or Brazil.

Responsibilities

•Data collection scene expansion: Own the ground-level expansion strategy and 0-1 execution to build an expanding pipeline of robotics data collection - developing and closing a diversified network of data collection venues and access points (retail, logistics, industrial, urban, etc.)
•Team Building & Management: Recruit, train, and manage data collection execution teams. Establish SOPs to ensure data integrity and operational velocity.
•Efficiency Optimization: Monitor offline operational data to optimize workflows and staffing, controlling cost per usable hour while maximizing output.
•Hardware management: manage the deployment, maintenance and calibration of multi-modal data collection hardware.
•Operational Optimization and Feedback: Monitor offline operational data to optimize workflows and staffing, provide clear operational feedback to central teams; document market learnings as SOPs/playbooks for reuse in future markets.

Qualifications

•3–5+ years of experience managing field operations, growth, or ground execution for major tech platforms, IoT companies, or hardware-enabled startups.
•Proven track record of sourcing, onboarding, and managing SME partnerships and vendor networks (Required).
•Working proficiency or fluency in Spanish, Portuguese, or other target-market languages is highly preferred.
•Solid grasp of Embodied AI and machine learning data fundamentals (e.g., Teleoperation workflows, Egocentric/First-Person vision requirements) with the ability to translate technical data specifications into field operational blueprints.
•A resilient, "builder" mindset with a high tolerance for ambiguity, comfortable traveling frequently and executing directly in unstructured or high-friction environments.
•Strong cross-functional capability, matching analytical funnel management (SQL/Excel, conversion rates) with high-stakes, face-to-face field negotiation.

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