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.
About the roleStord 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 experienced computer vision engineer and technologist to build and scale this business from the ground up.
What You Will Own
You will own the early egocentric video stack -- data collection, vision models and pipelines, and rigs. You'll partner closely with a small team to operationalize. This is a builder-operator role. You will:
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 perception stack. Detection, tracking, and segmentation, plus depth/3D reconstruction and 6DoF, multi-view 3D hand/body pose estimation from egocentric and fixed-camera capture.
Stand up VLM-assisted and automated labeling with human-in-the-loop QA to drive down cost per annotated hour, and integrate the annotation tooling.
Own the hardware<>vision intersection. Camera calibration, epipolar/multi-view geometry, and frame-accurate time-sync across multi-camera and egocentric rigs; derive 3D pose by triangulation where no direct sensor exists.
Train and ship models. Design, fine-tune, and optimize CV/multimodal models on large unstructured video datasets, and get them reproducible and production-ready, not stuck in a notebook.
Experiencing standing up and scaling an egocentric perception stack. You have built and run a similar product end to end at a robotics or AI data company. You have driven the full lifecycle: hardware setup, embedded perception, data pipelines, ensuring quality, and delivering it to production teams who depend on it.
8+ years building and shipping production computer-vision/perception systems (or an MS/PhD in CV, ML, or robotics plus 6+ years hands-on), including systems that ran on messy real-world data, not just benchmarks.
Deep expertise in computer vision and tooling — track record of leveraging existing tooling and designing, training, and debugging CNNs and vision transformers from scratch.
Strong command of geometric computer vision: camera calibration, depth estimation, and 2D/3D pose estimation
End-to-end ownership of a major perception problem: from data and model design through evaluation, optimization, and deployment, with measurable accuracy and reliability outcomes.
Track record of setting technical direction for a team or large workstream and raising the bar for other engineers.
Proven ability to take ambiguous, 0→1 problems with no established playbook and drive them to a working system with limited resources.
Experience with large unstructured datasets (video/multimodal) and the eval discipline to instrument accuracy rather than eyeball it.
Expert Python and strong software-engineering fundamentals; C++ where performance demands it.
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
CTO/Co-Founder as your direct partner.
Skills Required
- Experience standing up and scaling an egocentric perception stack end-to-end (hardware, embedded perception, pipelines, delivery).
- 8+ years building and shipping production computer-vision/perception systems (or MS/PhD plus 6+ years).
- Deep expertise designing, training, and debugging CNNs and vision transformers.
- Strong command of geometric computer vision: camera calibration, depth estimation, 2D/3D pose estimation.
- End-to-end ownership of perception problems: data and model design through evaluation, optimization, and deployment with measurable outcomes.
- Proven track record setting technical direction for a team or large workstream and raising engineering standards.
- Ability to solve ambiguous 0->1 problems and deliver working systems with limited resources.
- Experience with large unstructured video/multimodal datasets and rigorous evaluation instrumentation.
- Expert Python and strong software-engineering fundamentals; C++ where performance demands it.
What We Do
Stord is on a mission to migrate supply chains to the cloud—empowering brands to build sophisticated, agile, and integrated supply chains. Founded in 2015 and headquartered in the heart of Atlanta's vibrant tech community, Stord is pioneering the world's first Cloud Supply Chain. The Cloud Supply Chain is the convergence of the digital and physical elements of logistics. With Stord's Cloud Supply Chain, 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.
