
501 - 1000 employees
Founded 2019
💼 Consulting
🍽️ Food & Beverage
🏥 Healthcare
Consulting • Food & Beverage • Healthcare
Stord is a company that provides cloud supply chain solutions for direct-to-consumer (DTC) and omnichannel brands, specializing in fulfillment, last-mile delivery, and inventory management. By integrating best-in-class software with physical logistics operations, Stord aims to enhance the consumer experience from pre-purchase to post-delivery. The company supports over $5 billion in commerce annually and offers services such as order management, shipment protection, and inventory planning to streamline supply chains and improve brand loyalty. Stord also serves a wide range of industries, including health & beauty, nutrition & supplements, and apparel & accessories.
🕒 June 15
🇺🇸 United States – Remote
⏰ Full Time
🔴 Lead
🔧 Technical Program Manager
🦅 H1B Visa Sponsor
👻 Ghost score 52%
Where this job comes from
Posted on Stord's careers page, not through a job board
First seen by Remote Rocketship June 15
Still open on Stord's site. Checked 1 hour ago.

501 - 1000 employees
Founded 2019
💼 Consulting
🍽️ Food & Beverage
🏥 Healthcare
Consulting • Food & Beverage • Healthcare
Stord is a company that provides cloud supply chain solutions for direct-to-consumer (DTC) and omnichannel brands, specializing in fulfillment, last-mile delivery, and inventory management. By integrating best-in-class software with physical logistics operations, Stord aims to enhance the consumer experience from pre-purchase to post-delivery. The company supports over $5 billion in commerce annually and offers services such as order management, shipment protection, and inventory planning to streamline supply chains and improve brand loyalty. Stord also serves a wide range of industries, including health & beauty, nutrition & supplements, and apparel & accessories.
• Own the end-to-end evaluation lifecycle of vision AI experiments, from hypothesis and success criteria through evidence-based kill, iterate, or scale decisions • Lead hardware and vendor evaluations across capture devices, depth sensors, gloves, edge compute, and data and annotation vendors • Own RFPs, scorecards, evaluation frameworks, and vendor selection • Coordinate engineering, Legal, Site Operations, Finance, warehouse operations, and external partners • Manage the data pipeline from pilot capture through annotation, validation, and secure buyer delivery • Own annotation throughput and QA cadence while tracking data quality, capture yield, and delivery metrics • Coordinate technical and operational engagement with frontier AI and robotics companies and academic partners such as Georgia Tech • Translate customer requirements into program priorities and ensure datasets meet validation and delivery standards • Ensure consent, privacy, and data rights requirements are addressed with Legal • Identify and retire program risks and keep executive sponsors informed of progress, tradeoffs, and decisions • Orchestrate the full lifecycle of technical experiments in Stord Labs’ live micro fulfillment environment and transition validated concepts into production
• 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 • Demonstrated experience running computer vision, ML, or data pipeline programs end to end, including data collection, annotation, model training pipelines, or data platform delivery • Proven experience managing both hardware and data or annotation vendors, including RFPs, structured evaluations, scorecards, and strategic partnerships • Comfortable operating in deeply technical CV, ML, and data environments and translating between research, engineering, and operations • Strong execution discipline and experience operating in agile, sprint based, or similar environments • Demonstrated judgment in making and driving kill, iterate, or scale decisions based on data and outcomes • High ownership and comfort operating in ambiguous, 0 to 1 environments • Experience in innovation labs, R&D environments, or advanced automation programs • Familiarity with egocentric or robotics datasets, annotation platforms such as Scale, MLOps, or delivering datasets to external customers • Experience with data governance, privacy, or consent programs, including BIPA, GDPR, or CCPA requirements • Familiarity with warehouse data ecosystems and architectures, including WMS, OMS, WES, and WCS • Exposure to digital twin or simulation initiatives • Domain knowledge in warehouse automation, robotics integration, or fulfillment operations • Experience working with frontier AI companies, robotics companies, academic research institutions, or other emerging technology partners
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