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Director of Embodied AI, Data Foundry

Role overview

Qualifications

  • Experience running a data operation or data product at a robotics or AI data company
  • Strong technical background to lead engineers and make architecture decisions
  • Commercial instinct in selling data products or understanding customer needs
  • Knowledge of physical AI landscape and humanoid robotics players

Responsibilities

  • Own the early Embodied AI business line including product and customer acquisition
  • Define and deliver the data product including quality control and specifications
  • Run the warehouse capture operation and coordinate across multiple teams
  • Build and lead a senior team, setting technical direction and quality standards

About the company

Stord logo

Stord

Transportation, Logistics & Supply Chain

Stord is on a mission to make supply chain a competitive advantage for our customers. Founded in 2015 and headquartered in the heart of Atlanta’s vibrant tech community, Stord is pioneering Cloud Supply Chain. Cloud Supply Chain is the convergence of the digital and physical elements of logistics. With Stord, businesses can build, expand, and optimize their physical supply chain operations across freight, warehousing, and fulfillment, with the speed, flexibility, and ease of modern cloud software. With a single integration, businesses achieve end-to-end visibility into their whole supply chains from a single dashboard and gain access to Stord’s hybrid network of operated facilities and hundreds of premier-partner warehouses, fulfillment centers, and carriers. Hundreds of B2B and B2C companies like BODYARMOR, Native, Tula, Advance Auto Parts, Thrasio, Dollar General, REDCON1, TruConnect, American Giant and Goodr use Stord to make their supply chains perform with the speed, flexibility, and ease of the cloud. Led by former operators from Amazon, XPO, and Manhattan Associates, Stord is headquartered in Atlanta and backed by leading investors, including Kleiner Perkins, BOND, Franklin Templeton, Founders Fund, Lux Capital, D1 Capital, Salesforce Ventures, Susa Ventures, and Lineage Logistics.

Company details

Company typeScaleup
IndustryTransportation, Logistics & Supply Chain
Company size501 - 1000

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Job description

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.

With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

Director of Embodied AI, Data Foundry

Stord operates the largest independent e-commerce fulfillment network in the US — 20+ fulfillment centers, 4,000+ warehouse associates, and nearly 100 million packages shipped annually. We are building a new business line that turns this operational infrastructure into some of the most valuable training data assets in physical AI.

We are looking for an early leader to build this business from the ground up.

What You Will Own

You are the first dedicated hire for this initiative, reporting directly to the CTO and Co-Founder.

You will own the early Embodied AI business line: the product, the customers, the capture program, data operations, the team, and the P&L. This is a builder-operator role. You will:

  • Close customers. You will run customer discovery and close initial pilot deals with humanoid robotics, labs, and physical AI companies. You will sit across from their VPs of AI and Heads of Data, understand what their training pipelines need, and translate that into what Stord delivers.

  • Define and deliver the product. You will own the data product across quality tiers — from RGB egocentric video through depth-enhanced and full multimodal capture with hand pose and annotations. You will decide what gets built, in what order, based on what buyers will actually pay for. You will hold the line on quality.

  • Run the capture and delivery program. You will stand up the warehouse capture operation: camera and rig hardware selection, enrollment, edge processing, and the processing pipelines that package datasets for delivery. You will coordinate across warehouse operations, engineering, and customers to ship datasets on spec and on schedule.

  • Build the team. You will hire and lead a small, incredibly senior team, expanding as the business scales. You set the technical direction and quality bar; they build. You make the architecture and tradeoff decisions; you do not need to write every line of code, but you need to be technical enough to know when the design is right.

What You Bring

  • You have run a data operation or data product end to end at a robotics or AI data company. You have owned the full lifecycle: defining what data to collect, managing how it gets captured and annotated, deploying hardware capture systems, ensuring quality, and delivering it to ML teams who depend on it.

  • You are technical enough to lead engineers and make architecture decisions, but your core strength is execution across many moving parts. You can read a pipeline design and know if it is sound. You understand computer vision and ML data formats well enough to talk credibly with both your engineers and your customers. You do not need to be the one writing the pipeline — you need to be the one who makes sure the right pipeline gets built and the right data gets delivered.

  • You have commercial instinct. Either you have sold data products to robotics or AI labs, or you have been the ML customer buying data and know exactly what separates a dataset worth paying for from one that is not. You can run a discovery conversation, translate customer needs into a product spec, and carry a deal to close.

  • You operate across altitudes without friction — negotiating pilot terms in the morning, reviewing an annotation quality report at noon, and briefing a warehouse general manager on deployments in the afternoon. This role lives at the intersection of product, commercial, operations, and engineering, every day.

  • You know the physical AI landscape. You understand who the humanoid robotics players are, what vision-language-action models need to train, and why egocentric demonstration data is the bottleneck for deploying robots into the real world.

Why This Role

This is a rare opportunity to build a high-growth business from the ground-up with infrastructure and resources to support. You will have:

  • A structural moat that no startup can replicate

  • Direct access to the fastest-growing buyer market in AI

  • A CTO/Co-Founder as your direct partner who will run initial buyer conversations alongside you and remove internal obstacles.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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