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The Senior Manager, Income Tax Planning oversees federal tax planning, IRS audits, tax research, and team management to enhance compliance and support business goals.

As a Senior Engineering Manager, you will lead engineering teams to develop observability capabilities, ensuring reliability and operational excellence across Target's platforms.

As a Senior Manager of Sales Tax, you'll lead sales tax compliance processes, manage a tax team, and monitor legislative changes affecting sales tax, while advising internal partners on tax implications and strategies.

As a Backend Engineer, you will design, develop, and optimize software solutions for Loyalty transactions, collaborating with cross-functional teams while ensuring software quality and functionality.

The Lead UX Operations Manager oversees UX portfolio management, analytics, and capacity planning, enhancing operational clarity and efficiency through cross-functional collaboration and data-driven insights.

The Sr Engineer in Cybersecurity AI Activation and Engineering designs and implements AI-driven solutions, works with cybersecurity processes, and keeps up with emerging technologies.

As a Lead Engineer, you will design, develop, and maintain a SIEM platform, mentor engineers, and drive improvements in security detection features. Responsibilities include working with cross-functional teams, troubleshooting system issues, and ensuring code quality in a full-stack application environment.

The Sr Engineer - AI Platform develops scalable AI-powered solutions, manages end-to-end feature development, and partners with various teams to foster innovation and best practices in GenAI and agent-based systems.

The Sr Manager FP&A leads financial strategy for Target's loyalty program, driving performance management, analytics, budgeting, and cross-functional collaboration to enhance guest engagement and profitability.

Build scalable, reliable backend systems powering Target stores and fulfillment. Design, implement, and test software components, perform code reviews, handle operational issues, and collaborate with data scientists to improve forecasting and replenishment using distributed programming principles.