Top Tech Jobs & Startup Jobs in Seattle, WA

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.

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 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 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.

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.