7 дней назад
Staff Technical Program Manager (Vision AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Technical Program Manager (Vision AI): Building the operational backbone for a vision AI data program, from experiment hypotheses and hardware capture through annotation, validation, governance, and commercial dataset delivery with an accent on computer vision, ML, robotics, and warehouse operations. Focus on orchestrating technical experiments, evaluating hardware and data vendors, managing data quality and risk, and driving evidence-based decisions from pilot to production.
Location: Remote, United States
Company
provides commerce-enablement technology and high-volume fulfillment services, including fulfillment, warehousing, transportation, OMS, pre- and post-purchase, and WMS platforms.
What you will do
- Own the end-to-end evaluation lifecycle for vision AI experiments, defining hypotheses, success criteria, evaluation frameworks, and evidence-based kill, iterate, or scale decisions.
- Lead evaluations of capture devices, depth sensors, gloves, edge compute, and data and annotation vendors, including RFPs, scorecards, and vendor selection.
- Coordinate engineering, Legal, Site Operations, Finance, warehouse operations, external AI and robotics partners, and academic collaborators.
- Manage the data pipeline from pilot capture through annotation, validation, secure buyer delivery, and production readiness.
- Track annotation throughput, QA cadence, data quality, capture yield, delivery metrics, and operational readiness.
- Maintain consent, privacy, data rights, risk, executive communication, and decision governance across the program.
Requirements
- Bachelor’s degree in Computer Science, Industrial Engineering, Electrical Engineering, Supply Chain, or a related technical discipline.
- 8+ years of experience in Technical Program Management, Engineering Management, or complex cross-functional delivery roles.
- End-to-end experience running computer vision, ML, or data pipeline programs, including data collection, annotation, model training pipelines, or data platform delivery.
- Experience managing hardware and data or annotation vendors through RFPs, structured evaluations, scorecards, and strategic partnerships.
- Ability to translate between research, engineering, and operations in technical CV, ML, and data environments.
- Strong execution discipline, experience with agile or sprint-based environments, and comfort operating in ambiguous 0-to-1 programs.
Nice to have
- Experience in innovation labs, R&D, advanced automation, warehouse automation, robotics integration, or fulfillment operations.
- Familiarity with egocentric or robotics datasets, Scale, MLOps, or delivering datasets to external customers.
- Experience with data governance, privacy, or consent programs involving BIPA, GDPR, or CCPA.
- Knowledge of WMS, OMS, WES, WCS, digital twins, or simulation initiatives.
- Experience with frontier AI companies, robotics companies, academic research institutions, or emerging technology partners.
Culture & Benefits
- Work within Labs, an innovation center focused on evaluating emerging logistics technologies.
- Operate in a live micro-fulfillment environment spanning research, engineering, warehouse operations, and external partners.
- Help transition validated technical experiments into production capabilities with measurable business value.
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