Head of Embodied AI, Data Foundry

Stord • Atlanta, GA

1d • Hybrid

About The Position

Stord is seeking an early leader to build a new business line that transforms its real-world operational infrastructure into high-value training data for the next generation of physical AI. This role offers a rare opportunity to build a new AI business from the ground up, backed by Stord's extensive physical infrastructure, operational footprint, and resources. The Head of Embodied AI will shape the strategy, define the operating model, and turn Stord’s physical network into a differentiated data asset for the future of AI. This position reports directly to the CTO and Co-Founder and involves end-to-end ownership of the early Embodied AI business, including product, customers, data capture program, data operations, team, and P&L. It is a true builder-operator role focused on winning the first customers, defining and building the product, building and running the capture operation, and hiring and leading a senior team.

Requirements

• End-to-end data operations experience: built or operated a data operation or data product within robotics, AI, or a related technical environment.
• Understanding of the full data lifecycle: defining data collection, deploying capture hardware, annotation, quality control, and delivering production-ready datasets to ML teams.
• Technical depth with strong execution: technical enough to lead engineers and make sound architecture decisions, with a strength in getting complex initiatives across the finish line.
• Ability to evaluate pipeline design, understand computer vision and ML data formats, and communicate credibly with engineers and customers.
• Commercial instinct: 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 manage opportunities from conversation through pilot and close.
• Exceptional operating range: comfortable moving between strategy and execution, including negotiating pilot terms, reviewing annotation quality, and briefing stakeholders.
• Thrive at the intersection of product, commercial, operations, and engineering.
• Deep understanding of the physical AI landscape, the needs of humanoid robotics companies and AI labs, and the role of high-quality real-world data in training vision-language-action models and deploying robots.

Nice To Haves

• Experience building a new business from the ground up.
• Experience with egocentric demonstration data as a critical bottleneck for embodied intelligence.

Responsibilities

• Win the first customers by leading customer discovery and closing initial pilots with humanoid robotics companies, AI labs, and physical AI companies.
• Engage directly with VPs of AI, Heads of Data, and technical leaders to understand their training requirements and translate those needs into products Stord can deliver.
• Define and build the product, owning the data product roadmap across quality tiers (e.g., RGB egocentric video, depth-enhanced, multimodal datasets with hand pose, annotations, and other metadata).
• Prioritize product development based on customer demand and willingness to pay, while setting and maintaining a high bar for data quality.
• Build and run the capture operation, including camera and rig selection, participant enrollment, edge processing, data pipelines, and dataset packaging.
• Coordinate across warehouse operations, engineering, and customers to deliver datasets on spec and on schedule.
• Hire and lead a small, highly senior team, scaling it as the business grows.
• Set the technical direction and quality bar for the team, make architecture and tradeoff decisions, and ensure the team builds the right systems.

Benefits

• Direct access to one of the largest independent e-commerce fulfillment networks in the U.S.
• Direct access to a rapidly growing buyer market.
• Work directly with robotics companies, AI labs, and physical AI teams.
• A direct line to the founders and CTO.
• True ownership of a new business line, including strategy, customer acquisition, product development, operations, team building, and P&L.
• Opportunity to build the company that turns real-world operations into the data infrastructure for embodied AI.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed