12 часов назад
Head of Data Supply Chain (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Head of Data Supply Chain (Robotics): Building and managing the external data supply chain for embodied foundation models with an accent on vendor sourcing, requirements translation, and scaling data operations. Focus on bridging the gap between research needs and non-technical execution partners to ensure high-quality data delivery for robotics training.
Company
is building general intelligence for the physical world, focusing on embodied foundation models and robotics to enable machines to intelligently interact with the physical environment.
What you will do
- Own the end-to-end external data supply chain, including sourcing, standing up, and managing data collection and annotation partners.
- Translate complex research requirements into clear, actionable specifications for non-technical execution partners.
- Manage commercial mechanics, including pricing structures, SOWs, and unit economics to ensure high-quality data delivery.
- Scale partnerships into a network across new geographies and data modalities as research needs evolve.
- Establish operating cadences, trackers, and reviews to maintain visibility into cost, volume, and quality.
- Travel periodically to partner sites and collection operations to oversee performance.
Requirements
- 6+ years of experience in supply chain, vendor management, or data operations with a proven track record of managing external partners.
- Demonstrated ability to stand up new vendors from zero, including selection, diligence, and contracting.
- Exceptional written communication skills to create unambiguous instructions for remote execution teams.
- Strong commercial judgment regarding pricing, rate cards, and acceptance criteria.
- Must be based in or able to work onsite in San Francisco Bay Area (San Mateo) or Boston (Somerville).
Nice to have
- Experience managing data collection, annotation, or labeling at scale (managed workforce, crowd, or BPO).
- Background in robotics, autonomous vehicles, or hardware domains.
- Experience working closely with ML or research organizations.
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