Director of Embodied AI, Data Foundry

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.

Build the Data Infrastructure Powering the Future of Physical AI.
Stord operates the largest independent e-commerce fulfillment network in the U.S. — with 20+ fulfillment centers, 4,000+ warehouse associates, and nearly 100 million packages shipped annually. We are transforming this operational footprint into one of the most valuable sources of training data for the next generation of physical AI.
We are building a new business line at the intersection of robotics, AI, and real-world operational data — and we are looking for an early leader to build it from the ground up.
This is a founder-like opportunity for an entrepreneurial technical leader who can define the market, build the product, establish the operation, and create a new revenue stream from Stord’s unique physical infrastructure.

Why This Role:

This is a rare opportunity to create a new AI business from the ground up with the infrastructure, operational footprint, and resources required to win.

You will have:

• A structural advantage no startup can easily replicate — access to one of the largest real-world operational environments for collecting physical AI training data.

• Direct access to the fastest-growing AI market — working with robotics companies, AI labs, and organizations building the future of automation.

• Executive sponsorship and partnership — working directly with Stord’s CTO and Co-Founder, who will help shape strategy, engage early customers, and remove organizational barriers.

• Ownership from day one — the opportunity to define the product, build the team, establish the operating model, and create a new business line.

What You'll Do:

As the first dedicated leader for this initiative, you will report directly to the CTO and Co-Founder and own the full Embodied AI business line — including product strategy, customer development, data capture operations, team building, and business outcomes.

This is a builder-operator role. You will move fluidly between strategy and execution, creating the foundation for a scalable AI data business.

Build the Business & Win Customers

• Lead customer discovery and establish early partnerships with humanoid robotics companies, AI labs, and physical AI companies.

• Build relationships with VPs of AI, Heads of Data, and technical leaders to understand their training needs and translate those requirements into differentiated data products.

• Own early commercial engagements, including pilot programs, partnerships, and initial revenue generation.

Define the Data Product Strategy

• Own the roadmap for Stord’s Embodied AI data products — determining what data to collect, how to package it, and where to invest based on customer demand.

• Develop offerings across data quality tiers, from RGB egocentric video to multimodal datasets incorporating depth, hand pose, annotations, and other sensor modalities.

• Establish the quality standards required to deliver datasets that are valuable for next-generation AI models.

Build & Scale Data Capture Operations

• Design and operationalize Stord’s warehouse-based data capture program, including hardware selection, camera rigs, deployment processes, enrollment workflows, edge processing, and dataset pipelines.

• Partner across warehouse operations, engineering, and customers to ensure reliable data collection and delivery.

• Own execution against customer requirements, timelines, and quality expectations.

Build the Team & Technical Foundation

• Hire and lead a highly technical, senior team as the business scales.

• Set the technical vision, architecture principles, and operating model.

• Make critical engineering and product tradeoffs while ensuring the right systems and infrastructure are built.

• Serve as the technical and operational leader for the business — you do not need to write every line of code, but you must be able to evaluate technical decisions and drive execution.

Basic Qualifications:

Deep Experience Building AI Data Products or Operations

• You have built and operated data products, platforms, or data collection programs for robotics, AI, or machine learning companies.

• You understand the full lifecycle of AI data — from defining collection requirements and deploying capture systems to annotation, quality management, and delivery to ML teams.

• You have experience building processes and infrastructure that enable high-quality datasets at scale.

Technical Depth Across AI, Robotics, and Data Systems

• You are technically fluent enough to lead engineers, evaluate architecture decisions, and engage deeply with ML teams and customers.

• You understand computer vision, robotics data requirements, ML training pipelines, and modern AI data formats.

• You can assess technical approaches, identify tradeoffs, and ensure the right solutions are built.

Commercial & Product Instinct

• You have experience selling AI/data products, building customer partnerships, or serving as the technical buyer of AI training data.

• You understand what makes a dataset valuable and differentiated.

• You can translate customer needs into product requirements and drive early commercial traction.

Entrepreneurial Operating Style

• You thrive in ambiguous environments where the path is not fully defined.

• You are equally comfortable negotiating pilot terms, reviewing data quality metrics, and working with warehouse operators to deploy new capabilities.

• You operate effectively across product, engineering, operations, and commercial teams.

Understanding of the Physical AI Landscape

• You understand the emerging physical AI ecosystem, including humanoid robotics, robotics foundation models, and vision-language-action models.

• You understand why real-world demonstration data is a critical bottleneck for deploying intelligent systems into physical environments.