Top Tech Jobs & Startup Jobs in Seattle, WA

Own Nordstrom’s employer brand and employee value proposition strategy across the talent lifecycle. Develop digital marketing, social media, career site, creative asset, employee ambassador, referral, and reputation programs. Partner with Creative, Communications, Recruitment Marketing, Talent Attraction, and Culture teams on campaigns and talent initiatives. Track employer brand metrics, optimize ROI, manage brand standards, and strengthen employee and candidate engagement.

Develop and maintain APIs, services, and applications connecting content management, asset management, and campaign delivery platforms. Build automation and AI-agent workflows for marketing content orchestration, contribute to code reviews, verify AI-generated code, and own features through delivery. The role involves cross-functional collaboration, agile development, production systems, and continuous improvement of content workflows.

Supports Nordstrom Made’s design organization through operational transformation and execution excellence. Manages strategic initiatives, improves design processes, documents workflows, and drives efficiency across functional areas. Partners with design leadership and cross-functional stakeholders, manages multiple projects, clarifies complex problems, facilitates decisions, and creates structure amid ambiguity. The role requires apparel product design expertise, project delivery experience, strong communication, and the ability to influence organizational change.

Supports reliable, secure, and scalable cloud infrastructure across AWS, GCP, Azure, and OCI. Builds self-service cloud tooling, applies security and IAM best practices, automates infrastructure with Python and Terraform, monitors system performance, collaborates with development and operations teams, and participates in an on-call rotation for critical cloud services.

Develop recommendation, ranking, search relevance, and personalization models for digital shopping experiences. Apply modern machine learning and generative AI techniques, design offline and online evaluations, analyze experiments and customer cohorts, and partner with Product and Engineering on measurable outcomes. Build reusable personalization capabilities, move models toward production evaluation, mentor scientists, and improve technical and experimental practices across the team.

Leads Nordstrom’s enterprise Governance, Risk, and Compliance function, partnering with the CISO and executives to manage cybersecurity, IT, third-party, operational, and regulatory risks. Oversees audits, remediation, continuous compliance readiness, executive and Board reporting, GRC tools and automation, and cross-functional risk ownership. Builds and develops a high-performing GRC organization while aligning risk strategy with business growth, digital transformation, and customer trust.

Leads the engineering team responsible for Nordstrom’s personalization engine, including recommendation models, training pipelines, real-time serving, and complete-look experiences. Owns technical direction, delivery, reliability, model and data quality, incident response, and team development. Partners with product, data science, platform engineering, and business stakeholders while remaining hands-on with architecture, code reviews, and AI-native development practices.

The Finance Manager, Corporate FP&A manages monthly close reporting, executive and Board materials, financial analysis, forecasting insights, KPI reporting, and process automation. The role partners across Finance and business teams, interprets performance against plan, maintains reporting controls and definitions, tracks retail trends, and delivers ad hoc analyses. It requires strong communication, financial storytelling, organizational skills, data integrity, and advanced reporting and modeling capabilities.

Lead the Data Science organization for personalization, recommendations, search, browse relevance, experimentation, and digital product discovery. Set strategy, improve scientific rigor and causal measurement, connect model performance to customer and business outcomes, and develop reusable platforms and AI-native workflows. Build and coach a high-performing team of data scientists and ML operations engineers while partnering with Product, Engineering, UX, and business leaders to deliver scalable customer-facing solutions.

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.