Jobs at Stord

Lead day-to-day operations of a large warehouse, manage supervisors and hourly staff, meet safety/quality/KPI targets, optimize labor and processes, oversee budgets and customer service, and drive continuous improvement projects.

Lead implementations and launches for brands across Stord's network, managing systems integrations, SIT/UAT, WMS/OMS deployment, go-live and hypercare. Build SOPs, coordinate cross-functional teams and customers, and implement processes to ensure fulfillment center self-sustainability and profitability.

Own parcel analytics and BI for carrier performance, cost, and service optimization. Build and maintain dashboards, write SQL, automate reporting, analyze rates, and translate findings into client-facing recommendations while partnering cross-functionally to resolve operational issues.

Leads site-specific inventory control and quality assurance programs, including cycle counts, audits, investigations, reconciliations, KPI management, and corrective actions. Manages ICQA personnel, ensures SOP and customer compliance, maintains inventory integrity, analyzes performance trends, and partners with operations, engineering, BI, HR, and site leadership to improve accuracy, resolve root causes, implement CAPA, and automate processes.

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.

Serve as primary liaison between customers and internal teams to ensure service delivery and SLA adherence. Manage complex service solutions, lead business reviews, identify growth opportunities, audit invoices and A/R, and maintain documentation to drive account performance and operational efficiency.

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.

Build and integrate AI/ML capabilities into Stord's logistics platform using Elixir services. Implement demand forecasting, intelligent routing, real-time predictions, anomaly detection, LLM APIs, and streaming data pipelines. Design distributed, fault-tolerant systems, optimize performance and costs, add observability and feature flags, and collaborate with product, data science, and ML teams to productionize AI features.

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.

Lead day-to-day fulfillment center operations (inbound, put-away, outbound, returns), manage staffing, KPIs, inventory accuracy/ICQA, budgeting/payroll, new client launches, and coach Area Managers while partnering with cross-functional teams to ensure operational excellence.

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 day-to-day fulfillment center operations including inbound, putaway, outbound, B2C/B2B, and returns. Manage Area Managers and associates, own KPIs (inventory accuracy, dock-to-stock, SLA, productivity), oversee ICQA and GMP compliance, manage payroll/budgeting/scheduling, support new client launches, and partner with cross-functional teams to drive operational improvements.

Build and run Stord's social presence end-to-end: own executive and CEO social strategy, create on-camera short-form content, scale employee advocacy, manage content calendars and workflows, report performance tied to business outcomes, and partner cross-functionally to translate company stories into platform-specific content.

Serve as the primary HR contact for a warehouse, partnering with operations and leadership on attendance, investigations, corrective actions, SOPs, policy enforcement, and employee engagement. Track and analyze people data, develop people-program SOPs, support benefits and time-and-attendance issues, and implement engagement initiatives to maintain a positive, compliant, and efficient workplace culture.

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.

Lead site ICQA and quality programs to ensure inventory control and data accuracy. Oversee cycle counts, audits, reconciliations, KPI ownership, RCA/CAPA problem solving, and partner with operations, engineering, and BI to drive continuous improvement and compliance.

The Implementation Engineer manages the launch of 3PL warehouse sites, ensuring project goals, timelines, and overall satisfaction through effective collaboration, training, and risk management.

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.