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Lead Engineers for UI at Target are responsible for developing and innovating mobile applications that enhance customer experience in-store and online, working with agile methodologies and cutting-edge technologies to improve the digital shopping journey.

As a Lead Engineer for the Batch Team at Target, you'll develop technical solutions that enhance the movement of products from suppliers to stores. You'll be responsible for application architecture and lead engineering practices to support product teams, ensuring impacts on merchandising strategies while employing the latest tools and technologies in a fast-paced environment.

As a Principal Data Scientist at Target, you will design, implement, and optimize machine learning solutions for personalized customer offers and conduct training sessions. You will also guide team members, work closely with various stakeholders, and stay updated on AI advancements.

As a Senior Engineer at Target, you'll influence application architecture, develop robust systems using appropriate software engineering patterns, and provide technical oversight to resolve complex issues. You'll lead design discussions, manage product lifecycle, and evaluate new technologies, ensuring successful implementation and adherence to best practices.

The Product Manager for Search Ontology at Target is responsible for improving search relevancy and product discoverability by conducting technical reviews, guiding teams on search features, ensuring data compliance, and driving AI adoption for personalized searches.

The Lead Technical Program Manager at Target is responsible for managing high-impact organizational initiatives, aligning product roadmaps, and ensuring timely delivery of goals. This role involves strategic planning, risk mitigation, cross-functional collaboration, and monitoring program health while serving as a technical escalation point.

The Product Manager for SEO Ontology at Target will lead the development and optimization of structured product categorizations to enhance search engine indexing. Responsibilities include assessing SEO data, collaborating with cross-functional teams to ensure best practices, ensuring compliance with legal standards, staying updated on SEO trends, and advocating for innovative features utilizing AI/ML.