Jobs / India / Target Corporation

Sr Product Manager - Task Intelligence and Agentic Automation

Target Corporation · 🌍 Tower 02, Manyata Embassy Business Park, Racenahali & Nagawara Villages. Outer Ring Rd, Bangalore 540065

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About the role

About Us Working at Target means helping millions of guests discover the joy of everyday life. Behind every guest experience is a complex ecosystem of team members, workflows, applications, and business processes that power our operations. As we accelerate our enterprise AI and automation strategy, we are investing in intelligent platforms that help teams work smarter, automate repetitive work, and continuously improve how work gets done. Team overview: The Automation Platform team is building the next generation of AI-powered capabilities that transform enterprise productivity. We are seeking a Senior Product Manager to define and scale Target's Task Intelligence platform—the foundation for automation discovery, workflow optimization, and agentic automation. Role overview: As the Sr Product Manager for Task Intelligence and Agentic Automation , you will own the product vision, strategy, discovery, and execution for a platform that understands how work happens across Target. By analyzing digital work signals across applications, systems, and workflows, the platform generates actionable intelligence that helps individuals work more effectively, teams operate more consistently, and business leaders identify opportunities for automation and operational improvement. Your mission is to transform digital work signals into actionable intelligence that powers automation, workflow optimization, and agentic experiences. By understanding how work gets done across Target, you will help teams improve productivity, scale automation, and build the foundation for future AI-driven ways of working. Strategic Context This role fits within a team working on the intersection of four strategic outcomes: • Task Intelligence – Understanding how work gets done. • Automation – Identifying and improving repetitive work. • Agentic AI – Assisting, orchestrating, and executing work. • Intelligent Enterprise – Enabling a continuously learning and improving organization using decision and process intelligence along with other capabilities. What You'll Do Define Product Vision and Strategy • Define and execute the product vision, strategy, and roadmap for Target's Task Intelligence platform. • Build Task Intelligence as the foundational intelligence layer that powers automation discovery, workflow optimization, process insights, and future agentic AI capabilities. • Drive roadmap investments that advance enterprise productivity, operational excellence, and automation outcomes. • Partner with stakeholders across business, technology, and operations to identify and prioritize high-impact opportunities. Build Task Intelligence Capabilities • Develop capabilities that transform digital work signals into actionable intelligence about how work is performed. • Create a unified understanding of tasks, workflows, user interactions, and execution patterns across the enterprise. • Establish task-level benchmarks that identify best practices, performance opportunities, and workflow friction. • Surface insights that reduce rework, improve productivity, and enable continuous improvement. • Partner with data science and engineering teams to create scalable intelligence models and insights. Deliver Automation Experiences • Identify repetitive, manual, and automatable work patterns. • Partner with AI, engineering, and data science teams to build recommendation engines and automation discovery capabilities. • Enable users and teams to discover, prioritize, and adopt automation opportunities. • Measure automation impact and continuously improve recommendation quality and business outcomes. Enable Agentic Automation • Define product capabilities that allow Task Intelligence insights to power agentic experiences. • Partner with AI, engineering, and automation

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Source: Employer career site (Workday) First seen: 2026-10-06 Last confirmed: 2026-10-06 How our data works → Report this job

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