Top Tech Jobs & Startup Jobs in Seattle, WA

Perform hands-on data governance: identify root causes using information management tools and data sources, collaborate with data owners and architects, define governance rules and values, embed governance tests into ETL, engage vendors and stakeholders, and establish/report on data governance metrics and continuous improvements.

Build and maintain automated test suites and perform manual testing to ensure product quality. Train squads on test management, improve test coverage, troubleshoot data issues, and promote strong quality practices within Agile teams.

Lead end-to-end product design by driving discovery, user research, prototyping, and high-fidelity UI delivery. Partner with product and engineering in Agile teams, champion UX and accessibility, leverage AI design tools, present findings to stakeholders, and mentor other designers to scale design practices.

Build modern, responsive web applications using Angular and TypeScript. Implement pixel-perfect UIs from Figma/wireframes, manage state with NgRx/RxJS, integrate REST APIs, optimize performance and cross-browser compatibility, write unit tests (Jasmine/Karma), and participate in code reviews.

Design and build scalable Python/FastAPI backend services integrating generative AI, LLMs, vector databases and RAG. Develop REST APIs, agent-based workflows, async/event-driven processing, and cloud-native deployments (Docker/Kubernetes). Implement security, observability, CI/CD, and production support while collaborating with cross-functional teams.

Lead complex, strategic logistics and retail technology programs using established project management methodologies. Develop plans, schedules, budgets, risk/mitigation, and pre/post implementation activities. Validate requirements, assess impacts, recommend solutions, drive operational efficiency, mentor project managers, and interact with business leadership and vendors.

Lead cross-functional programs from planning through delivery, manage budgets and stakeholders, ensure quality and customer satisfaction, maintain program status reporting, and follow SDLC and project management best practices.

Translate ambiguous business problems into AI-native product opportunities. Develop future-state, prompt-driven experiences, hyper-personalized journeys, and strategic narratives. Lead cross-functional teams, benchmark AI product trends, and present executive-ready transformation roadmaps.

Lead QA team to define and execute QA strategies, build and maintain mobile automation frameworks, integrate testing into CI/CD, set quality metrics, manage defects, review test plans, and report progress to stakeholders to ensure high-quality mobile applications.

Design, build, and maintain ETL/ELT data pipelines and orchestration using Airflow, Python, and PySpark. Develop custom connectors, implement DataOps and CI/CD for data workflows, monitor and troubleshoot pipelines, validate data quality, and document processes while collaborating with cross-functional teams and supporting large-scale distributed data systems.