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XDOF

LATAM Operations Lead

Mexico

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hirly's read of this role

Seniority
Lead / management
Country
MX
Work mode
On-site / unstated
First seen by hirly
28 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

  • 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.

Original posting on XDOF's site ↗

Listed on hirly, a job board. hirly is not the employer: XDOF is hiring for this role.

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