Top Tech Jobs & Startup Jobs in Seattle, WA

Lead high-impact enterprise strategy projects for the Executive Team: define long-term growth vectors, conduct data-driven analysis, synthesize insights into clear recommendations, manage project teams, build senior stakeholder relationships, and translate strategic direction into multi-year execution plans to drive enterprise adoption and results.

Lead multi-year data product vision and roadmap for Operations (Returns, Store Ops, Customer Orders). Partner with engineering, data science, and executives to define governance, architecture, and priorities; advocate investments, mentor PMs/analysts, and enable analytical AI use cases (forecasting, anomaly detection, predictive automation).

Own end-to-end portfolio planning and governance for Developer Platform: intake, prioritization, capacity planning, and quarterly commitments. Maintain operating cadences, surface dependencies and risks, and produce executive-level status communications. Manage portfolio tooling (Aha!, Jira, GitHub), enforce reporting standards, and continuously improve processes. Partner with engineering, product, and senior leaders to align work to strategic priorities and ensure proper scoping, resourcing, and governance.

Lead a small engineering team to operate and evolve Nordstrom's data platforms (BigQuery, Looker, Metabase) across GCP and AWS. Own reliability, incident response, cost and access governance, Looker/LookML standards, conversational analytics enablement, and team hiring and development. Act as a player-coach: stay hands-on writing code, building automation, and driving technical direction and operational health.

Lead design and architecture for large-scale, event-driven inventory systems. Drive technical strategy across a 150+ engineer org, build scalable microservices and streaming platforms, apply agentic and generative AI for automation, mentor senior engineers, and ensure reliability, security, and operational excellence across inventory, WMS, and RFID integrations.

Design, build, and operate mission-critical microservices and internal React tools that deliver product data at scale. Implement validation, canonicalization, and entity resolution to ensure data quality. Integrate with Kafka, Temporal, and databases, drive observability and on-call operations, mentor teammates, influence architecture, and collaborate with cross-functional partners to support downstream consumers across the business.

Design and build agentic components and workflows integrating LLM APIs, embeddings, vector stores, and agentic frameworks. Work on context engineering, RAG, evaluations and guardrails, telemetry and observability, on-call support, and cross-functional collaboration to deliver production AI agent features on cloud platforms.

Build, maintain, test, and deploy scalable full-stack software for retail and ecommerce systems. Collaborate with product, design, and engineering teams; participate in code reviews, pair programming, architecture discussions, and documentation. Monitor production systems for reliability and performance, improve development processes, and use AI tools responsibly. The role supports selling and relationship-management technology in a remote-first environment.