Top Tech Jobs & Startup Jobs in Seattle, WA

Corporate Counsel will support commercial contracting across sales, partnerships, vendors, and logistics relationships. Responsibilities include negotiating and drafting agreements, maintaining contract playbooks and negotiation guardrails, developing contract management infrastructure, advising business teams on deal structure and risk, and improving legal processes. The role requires practical legal judgment, collaboration with cross-functional teams, and familiarity with legal technology, AI-assisted contract review, and CLM platforms.

Leads Stord’s enterprise systems, corporate and fulfillment-site IT, SaaS portfolio, business process governance, master data, privacy operations, and systems integration. Owns architecture, integrations, identity, endpoints, networks, onboarding, vendor oversight, compliance evidence, AI adoption, and M&A systems integration. Builds and manages the IT and Enterprise Systems team while partnering with Security, Data, Engineering, Finance, Procurement, Legal, People, and Operations.

Drive enterprise business development for supply chain technology and fulfillment services. Identify and engage prospective clients through account-based selling, generate leads, build consultative relationships, understand logistics needs, present tailored solutions, manage CRM activity, and collaborate with operations and customer success teams. The role focuses on transportation, warehousing, e-commerce fulfillment, and expanding high-value client relationships across the United States.

Embed with internal teams to identify high-leverage manual workflows and build production-grade agentic AI systems, integrations, and automation (LLM-powered interfaces, observability, APIs, dashboards) that reduce manual effort across CX, finance, ops, and logistics.

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.

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

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 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.

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.