
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.
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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.
• Serve as the first dedicated hire for Stord’s Embodied AI initiative, reporting directly to the CTO and Co-Founder • Own the early Embodied AI business end to end, including product, customers, data capture program, data operations, team, and P&L • Lead customer discovery and close initial pilots with humanoid robotics companies, AI labs, and physical AI companies • Engage with VPs of AI, Heads of Data, and technical leaders to understand training requirements and translate them into products • Define and build the data product roadmap across quality tiers, including RGB egocentric video, depth-enhanced datasets, and multimodal datasets with hand pose, annotations, and metadata • Prioritize product development based on customer demand and willingness to pay while maintaining high data-quality standards • Establish and operate the warehouse-based data capture program, including camera and rig selection, participant enrollment, edge processing, data pipelines, and dataset packaging • Coordinate warehouse operations, engineering, and customers to deliver datasets on specification and schedule • Hire and lead a small senior team and scale it as the business grows • Set technical direction and quality standards, make architecture and tradeoff decisions, and ensure the right systems are built • Ultimately own the Embodied AI business P&L
• Experience building or operating a data operation or data product within robotics, AI, or a related technical environment • Understanding of the full data lifecycle, from defining collection requirements and deploying capture hardware through annotation, quality control, and delivery of production-ready datasets to ML teams • Technical depth sufficient to lead engineers and make sound architecture decisions • Ability to evaluate pipeline designs and understand computer vision and ML data formats • Ability to communicate credibly with engineers and customers • Experience selling data products to robotics or AI companies, or experience as an ML customer buying data • Ability to lead discovery, translate customer requirements into product specifications, and carry opportunities from first conversation through pilot and close • Comfort moving between strategy and execution across product, commercial, operations, and engineering • Deep understanding of the physical AI landscape, humanoid robotics companies, AI labs, and real-world data needs for training vision-language-action models and deploying robots • Understanding of egocentric demonstration data as a critical bottleneck for scaling embodied intelligence • Authorization to work in the U.S.
• Direct access to Stord’s physical infrastructure, operational footprint, and resources • Direct access to a rapidly growing buyer market of robotics companies, AI labs, and physical AI teams • Direct line to the founders • Partnership with the CTO and Co-Founder in initial customer conversations and business shaping • True ownership of strategy, customers, product, operation, team, and P&L • Equal opportunity employer valuing diversity
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