Jobs at Stord

Manage client relationships as primary liaison, ensure service delivery and SLAs, oversee complex service implementations, drive revenue growth and account P&L, audit invoices and A/R, identify expansion opportunities, lead strategic account planning, mentor junior staff, and implement process improvements to optimize performance and customer satisfaction.

Analyze and resolve billing data discrepancies, maintain billing logic and rate cards, identify system bugs, and measure audit performance. Partner with Finance, Billing, Product, Engineering, and Operations teams to improve data quality, unit-of-measure accuracy, and billing processes. Build interim automation flows supporting acquisitions and billing integrations while troubleshooting upstream operational and system issues.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

Own full-cycle recruiting for product, data, and engineering roles: source passive candidates, screen technical and product fit, partner with hiring leaders, manage pipeline metrics, improve processes, and close high-impact hires while ensuring a strong candidate experience.

Lead cross-functional internal systems programs including tooling rollouts, migrations, automation, and SOC audit readiness. Build roadmaps, run reviews, create playbooks, manage vendors and stakeholders, and deliver projects on time with strong communication and execution.

Lead and scale Revenue and Billing Operations for a multi-service 3PL platform. Own end-to-end billing, revenue recognition (ASC 606), financial reporting, systems integration (WMS/TMS/ERP/billing), automation and AI adoption, cross-functional alignment, controls, tax compliance, and build a high-performing team to ensure accurate, scalable revenue capture and margin visibility.

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.

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

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 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.