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