Staff Technical Program Manager – Vision AI

🕒 June 15

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🔧 Technical Program Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stord

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🍽️ Food & Beverage

💼 Consulting

📣 Marketing

Food & Beverage • Consulting • Marketing

Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.

📋 Description

• 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

🎯 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 • 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