Jobs at Stord

Lead design and delivery of an egocentric video data product: capture rigs, edge processing, dataset pipelines, VLM-assisted annotation, and production-ready perception models (detection, tracking, segmentation, depth/3D reconstruction, and 6DoF pose estimation). Operate and scale warehouse capture programs and own model training, evaluation, optimization, and deployment.

Senior individual contributor owning complex end-to-end ML problems for supply chain and consumer applications. Build and deploy predictive models (demand forecasting, delivery ETA, recommendations), embed with engineering teams, define MLOps standards, and advise leadership on data science strategy and investments.

Own quality engineering for Commerce: run structured manual QA, build E2E automation (storefront, checkout, brand portal), wire tests into CI, define Shopify-specific compatibility playbooks, set quality metrics and gates, participate in planning and spec reviews, and lead the teamto shift coverage left.

Design, build, and maintain scalable full-stack systems; own features end-to-end; solve complex distributed-systems problems; mentor junior engineers; collaborate with Product and Design; ensure code quality, testing, and scalability for commerce/3PL applications.

Lead development of digital twin and simulation models for warehouse operations, deploy AI-driven decision systems, build forecasting and optimization models, validate experiments linking operational metrics to financial impact, and partner with engineers, operations, and external AI/academic partners to scale innovations across fulfillment networks.

Lead end-to-end experimentation pipeline for Stord Labs, coordinating robotics, AI, vendors, engineering, and operations to validate and scale logistics innovations into production pilots and enterprise rollouts, develop deployment playbooks, and manage co-funded customer pilots and executive demonstrations.

The Staff Software Engineer will lead technical initiatives, drive quality code, mentor engineers, and work on scalable systems in a high-impact team environment.

The Data Engineer will design and maintain data pipelines, enhance the data warehouse, support machine learning applications, and collaborate with various teams to leverage data effectively.

Seeking a Senior Elixir Engineer to develop scalable systems and contribute to technical decisions within product groups, focusing on Elixir and cloud technologies.

Lead company-wide AI adoption and build an embedded engineering and product organization to ship AI-native internal tools. Own enterprise systems (CRM, ERP, HRIS, OMS, WMS), IT operations, security, data governance, and M&A systems integration. Partner with product and data leadership, set architecture and roadmap, and build a leadership team for IT, security, and internal systems to drive measurable efficiency and adoption across Finance, Revenue, People, Legal, Support, and Operations.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Lead and build a new Embodied AI data business: win initial customers, define data products, stand up warehouse capture operations, build data pipelines and quality processes, hire and lead a senior team, and own the P&L.

Lead full sales lifecycle to enterprise customers across the US: prospect, demo Stord platform, build strategic relationships, manage CRM pipeline, forecast revenue, and close new business while maintaining customer satisfaction.

Lead and scale a multi-team engineering organization owning Billing, TMS, WMS, and LMS. Manage five engineering managers and a Principal Engineer, drive billing automation, deliver a standalone TMS/Parcel system, improve network LMS efficiency, and ensure WMS reliability and international scalability. Build cross-functional partnerships with Finance and Parcel, make organizational design decisions, coach managers, and prioritize technical investments to deliver measurable cost and revenue outcomes.

Lead two engineering teams owning the WMS platform: people management, predictable sprint delivery, platform enhancements, production reliability, incident leadership, and cross-team alignment with product and peers.

Prepare complex fulfillment and parcel invoices, analyze large datasets using Excel, collaborate with Sales/Operations/Implementations, resolve billing disputes, document processes, produce KPI reporting, and support audits to ensure accurate, timely revenue recognition.

Serve as primary customer contact for Stord's Commerce software, owning end-to-end onboarding, activation, and adoption. Build scalable onboarding programs, training materials, and playbooks; monitor usage and ROI; coordinate cross-functional teams to resolve issues, influence product direction, and drive renewals and expansion.

Lead operational integration and performance of acquired fulfillment sites. Own portfolio P&L, manage Site GMs, execute 30/60/90-day integration plans, drive WMS rollouts, meet SLA and synergy targets, and stabilize productivity, cost, and service across multiple sites.

Lead deployment of validated automation from an innovation lab into pilot and network-wide production. Develop deployment playbooks, manage capital projects, re-engineer workflows, drive Lean/Six Sigma improvements, create SOPs, and coordinate vendors and cross-functional stakeholders to ensure scalable, low-risk rollouts and optimized warehouse operations.

Lead technical programs to design, build, and scale Stord's WMS/TMS and evolve WES capabilities. Bridge operations and engineering, drive architectural decisions, manage alpha/beta releases, run pilot deployments, enforce change management, and mentor engineering teams to deliver fault-tolerant, high-performance supply chain software.