Top Tech Jobs & Startup Jobs in Seattle, WA

Partner with Product Designers and Engineers to build high-fidelity interactive prototypes, reusable components, and tooling. Introduce and evaluate AI and modern technologies to improve design workflows, document best practices, and mentor teams to elevate design quality and implementation.

Lead and grow a Product Design team owning end-to-end customer experiences. Partner with Product, Engineering, Research, and Data Science to define strategy, solve complex problems, deliver measurable outcomes, champion design excellence, and use data and AI tools to improve decision-making and team efficiency.

Drive marketing measurement and reporting to inform acquisition, retention, and reactivation strategy. Build scalable dashboards, improve measurement and data infrastructure, perform analytics to identify trends and opportunities, and partner with Marketing, Finance, Data Science, and Analytics to influence planning, budgeting, and forecasting. Leverage SQL, BI tools, and AI to automate workflows and accelerate insights.

Build and improve Stitch Fix's cloud-native platform and developer tooling. Develop IaC, CI/CD, containerized workflows, and automation to improve deployment reliability and developer experience. Collaborate with engineers, debug systems, and explore LLM-powered tooling under mentorship.

Lead technical design and execution for product catalog systems, owning onboarding, attribute management, enrichment, validation, and readiness tooling. Build scalable services and data models, drive cross-functional discovery, lead initiatives end-to-end, improve data quality, mentor engineers, and ensure reliability, performance, and observability of catalog workflows.

Lead product vision and strategy for financial systems, drive automation of financial processes, enhance data quality, and deliver impactful analytics solutions.

Design, develop, and maintain scalable ML and AI platform infrastructure for model training, deployment, feature engineering, candidate generation, agent deployment, and observability. Collaborate with data scientists and engineers, support platform operations, drive improvements, codify best practices, and influence platform investments to enable production ML systems at scale.

The Product Manager will lead the Household team to enhance personalized shopping experiences across categories, focusing on strategy, platform scalability, and engagement while collaborating with cross-functional teams to drive growth and adoption.

Lead a team of machine learning engineers and data scientists to develop and deploy styling algorithms for personalized shopping experiences. Champion AI and ML initiatives, collaborate with stakeholders, and oversee the entire algorithm development process.

Lead a team of machine learning engineers and data scientists to develop algorithms for personalized shopping, enhancing client engagement and driving growth through AI and data science.