Top Tech Jobs & Startup Jobs

Lead AI/ML discovery product strategy and roadmap for search and recommendations. Partner with engineering, data science, design, and research to build AI-native discovery experiences. Drive experimentation and A/B testing, define metrics, write user stories and acceptance criteria, manage backlog and releases, own launch plans and post-launch validation, and influence stakeholders across the organization.

Lead and deliver large, cross-functional technical programs end-to-end. Partner with engineering, product, and business leaders to set strategy and roadmaps, manage risk, use data to drive decisions, influence senior leaders, mentor TPMs, and improve program governance and delivery.

Lead roadmap and vendor relationships for the Customer Data Platform and marketing integrations. Define requirements, measure CDP and feed health, enable AI agents, partner with Engineering and Analytics, and prioritize work with marketing stakeholders to improve data quality, enrichment, and personalization capabilities.

Serve as the primary finance business partner to Technology and Product SVP/VPs, manage P&L performance, lead monthly reviews and forecasting, support annual planning and investment cases, collaborate with FP&A, Accounting, Tax and Procurement, and drive process improvement and automation across tech portfolios.

As a Senior Engineer 2, you'll lead complex AI system designs, oversee team quality, integrate LLM APIs, mentor junior engineers, and collaborate across teams to enhance the AI Agentic Platform.

Lead a small team of senior data engineers and analysts to build and operate high-scale pipelines and data models that transform web and app behavior into trusted digital KPIs. Set technical strategy for behavioral analytics, ensure data quality and delivery discipline, manage stakeholder relationships across product and marketing, and develop team members into technical leaders.

As a Senior Full Stack Software Engineer, you will design, build, and operate services and user interfaces for Nordstrom's product data ecosystem, focusing on microservices and React applications to manage catalogs and data integrity.

The Senior Financial Analyst will support strategic decision-making through data analysis, financial modeling, and stakeholder collaboration, managing KPIs and cost centers while ensuring data accuracy and process improvements.

Lead supply chain analytics for distribution center operations: ensure data pipeline integrity, govern and automate warehouse data, build reliable reporting, perform diagnostic and prescriptive analysis, partner with engineering and business stakeholders, create KPIs and storytelling, and mentor junior analysts to drive operational improvements.

The role involves advising on data privacy law, AI governance, and data security. It includes compliance program management, incident response, and collaboration with various business units.