Top Tech Jobs & Startup Jobs in Seattle, WA

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.

The Product Manager at Stord will optimize warehouse operations by translating operational needs into product requirements, collaborating with internal teams, and implementing efficient WMS solutions while spending significant time onsite to gather feedback.

Partner with sales to design and demo tailored OMS/WMS and fulfillment solutions, lead discovery, document technical requirements, respond to RFPs, and hand off implementations while advising product teams.

The Parcel GTM Manager directs Go-To-Market strategy for Stord's Customer Experience and M&A lines, leading a team of analysts to manage pricing, margin optimization, network analytics, and process engineering, ensuring seamless integration for clients and achieving revenue goals.

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.

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.