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xdof
AI & Machine Learning 2d ago

Head of Robotics Data Acquisition & Strategic Partnerships

xdof
United StatesUnited States
Full-time
Not Disclosed
Senior-Level

Job Description

Key Skills Required

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SQL15 minFree Trial ✨
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Machine Learning41mFree Trial ✨
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Data AcquisitionEmbodied AITeleoperation

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Build and scale our international robotics data acquisition network from scratch across target markets (e.g., LATAM, SEA, Africa). This role owns the end-to-end pipeline of securing high-fidelity physical world data (Egocentric video, Teleoperation datasets, etc.) by acquiring individual high-value venues and signing strategic, multi-scenario local agencies.

Responsibilities

  • Source, negotiate, and close high-value target venues overseas; actively recruit and manage local partners capable of delivering turnkey access to multi-scenario networks.

  • Design and optimize inbound lead generation funnels from first touch to conversion; systematically improve websites, landing pages, and lead-capture systems while partnering with Sales to build bulletproof lead qualification and follow-up infrastructure.

  • Evaluate real-world environments against strict criteria for embodied AI and robotics training; own the field deployment, calibration, and cold-start operations of high-precision, multi-modal data collection hardware.

  • Establish and optimize end-to-end local data pipelines from scratch; own vendor training, SLA enforcement, and KPI tracking while implementing rigorous verification systems to eliminate data fabrication and bad-faith sourcing.

Qualifications

  • 3–5+ years of experience managing international growth, field operations, or ground execution for major tech platforms, IoT companies, or hardware-enabled startups.

  • Proven track record of sourcing, onboarding, and managing overseas agencies, vendor networks, and B2B channel partners (Required).

  • Professional fluency in English; 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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xdof (operating at xdof.ai) is a robotics infrastructure platform engineered for the development of embodied artificial intelligence. Founded in 2024 by UC Berkeley researchers Philipp Wu (CEO) and Fred Shentu (CTO), the company specializes in building the foundational tools, data, and services that accelerate the future of robotics. Under the hood, xdof combines generative modeling techniques with real-world robotics data collection, addressing the labor-intensive and unglamorous task of gathering training datasets—a critical bottleneck for AI labs. This allows leading robotics builders to focus on innovation rather than manual data collection, streamlining the development of advanced manipulation, locomotion, and control systems. Backed by a $70 million Series A funding round and in talks for a $1.2 billion Series B valuation, xdof is positioned as a key enabler for the next generation of autonomous systems.

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