LATAM Operations Lead

xdof; Berkeley (CA); On-site; USD 70,000 - 120,000; Full time

Job summary

xdof is building a ground-level data acquisition operation in LATAM, with bases in Mexico or Brazil. This role owns end-to-end data pipelines from securing venues to establishing partnerships, enabling high-fidelity data for robotics and teleoperation projects.

You will expand data collection scenes, recruit and lead field teams, optimize workflows, manage hardware, and document learnings as repeatable SOPs for future markets.

Qualifications

• Min 3–5+ years of field operations leadership in tech, IoT, or hardware startups.
• Proven track record sourcing and managing SME partnerships and vendor networks.
• Working proficiency in Spanish or Portuguese is highly preferred.
• Knowledge of Embodied AI and machine learning data fundamentals; translate specs into field plans.
• Willingness to travel frequently and operate in unstructured environments.
• Strong cross-functional capabilities and partner negotiations.

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.

Skills

Field operations

Vendor network

Partnership onboarding

Language skills

Embodied AI basics

Teleoperation workflows

Data-driven optimization

Cross-functional work

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.