Sr Product Manager - Task Intelligence and Agentic Automation

Posted Yesterday
Be an Early Applicant
2 Locations
In-Office
Senior level
eCommerce • Other • Retail
The Role
Own product vision, strategy, and roadmap for a Task Intelligence platform that analyzes digital work signals to surface automation opportunities, drive workflow optimization, and enable agentic automation. Partner with engineering, AI/ML, data science, UX, and stakeholders to build scalable intelligence models, recommendation engines, and adoption flows while measuring automation impact and operational improvements.
Summary Generated by Built In

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 teams to deliver experiences that assist, recommend, orchestrate, and automate work.

  • Create a roadmap that evolves from workflow visibility and automation recommendations to semi-autonomous and autonomous workflows.

  • Deliver foundational capabilities that enable future AI agents to understand work patterns, business context, and execution behaviors.

Improve Team and Operational Performance

  • Analyze workflow variation across teams performing similar work.

  • Identify characteristics of high-performing workflows and operational best practices.

  • Reduce workflow variance while preserving business flexibility.

  • Translate task-level insights into broader process visibility and operational improvement opportunities.

  • Enable leaders to make data-driven decisions that improve productivity, quality, and execution effectiveness.

Lead Cross-Functional Delivery

  • Own product prioritization, roadmap planning, and execution.

  • Collaborate closely with engineering, AI/ML, data science, UX, security, privacy, and legal teams.

  • Ensure solutions meet Target standards for governance, privacy, security, and responsible AI.

  • Drive stakeholder alignment, product adoption, and measurable business value.

Success Measures

Automation Impact

  • Automation opportunities identified, delivered, and adopted.

  • Manual effort eliminated through automation.

  • Productivity gains generated through AI-powered recommendations and automation.

Product Adoption

  • Growth in platform adoption and engagement.

  • User satisfaction and trust in Task Intelligence insights.

  • Adoption of recommended workflow optimizations and automations.

Task Intelligence Impact

  • Visibility into work patterns across applications and workflows.

  • Identification of bottlenecks, inefficiencies, rework, and automation opportunities.

  • Creation of reusable task intelligence models, benchmarks, and insights.

  • Increased use of data-driven decision making across business functions.

Agentic Automation Impact

  • Adoption of agentic experiences powered by Task Intelligence.

  • Expansion of semi-autonomous and autonomous workflows.

  • Reduction in manual coordination and repetitive decision-making.

  • Measurable business value generated through AI-assisted work execution.

About You

  • 8+ years of Product Management experience building enterprise software, AI products, automation platforms, analytics solutions, or workflow technologies.

  • Demonstrated success leading product discovery and delivery of complex technical products.

  • Experience partnering with engineering, AI/ML, data science, and analytics teams.

  • Strong understanding of workflow automation, productivity systems, operational excellence, or process optimization.

  • Excellent communication, stakeholder management, and influence skills.

  • Strong analytical, customer-centric, and strategic thinking capabilities.

Preferred Qualifications

  • Experience with task mining, process mining, workflow intelligence, workflow automation, RPA, or agentic AI platforms.

  • 5+ years experience building AI-powered products, recommendation systems, intelligent assistants, or AI agents.

  • Knowledge of digital workplace analytics, data science and data analytics practices.

  • Experience building platform products in large-scale enterprise environments.

Why Join Us

This is an opportunity to own a strategic product area that will shape how work gets done across Target.

You will build the intelligence layer that helps teams understand work, automate repetitive tasks, optimize workflows, and enable the next generation of agentic automation experiences.

The platform you build will transform digital work signals into actionable intelligence, helping accelerate Target's journey toward a more intelligent, automated, and AI-enabled enterprise.

Useful Links:

  • Life at Target- https://india.target.com/

  • Benefits- https://india.target.com/life-at-target/workplace/benefits

  • Culture- https://india.target.com/life-at-target/diversity-and-inclusion

Skills Required

  • 8+ years of Product Management experience building enterprise software, AI products, automation platforms, analytics solutions, or workflow technologies.
  • Demonstrated success leading product discovery and delivery of complex technical products.
  • Experience partnering with engineering, AI/ML, data science, and analytics teams.
  • Strong understanding of workflow automation, productivity systems, operational excellence, or process optimization.
  • Excellent communication, stakeholder management, and influence skills.
  • Strong analytical, customer-centric, and strategic thinking capabilities.
  • Experience with task mining, process mining, workflow intelligence, workflow automation, RPA, or agentic AI platforms.
  • 5+ years experience building AI-powered products, recommendation systems, intelligent assistants, or AI agents.
  • Knowledge of digital workplace analytics, data science and data analytics practices.
  • Experience building platform products in large-scale enterprise environments.

Target Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Target and has not been reviewed or approved by Target.

  • Healthcare Strength Health benefits are accessible to hourly team members at relatively low hour thresholds and include no‑cost, 24/7 virtual medical care and expanded mental‑health support. This breadth is positioned as a relative strength compared to typical retail offerings.
  • Retirement Support Retirement programs include a dollar‑for‑dollar 401(k) match with immediate vesting and options like Roth 401(k) and stock purchase. These features strengthen long‑term savings for a wide range of roles.
  • Parental & Family Support Family support includes paid family leave, backup care, and reimbursements for adoption and surrogacy. These resources complement paid time off and holidays for eligible team members.

Target Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Minneapolis, MN
172,344 Employees

What We Do

Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more. Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.

Similar Jobs

Optum Logo Optum

Devops Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
160000 Employees

Optum Logo Optum

Lead Full-stack Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
160000 Employees

Optum Logo Optum

Machine Learning Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
160000 Employees

Optum Logo Optum

Senior Software Engineer

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
160000 Employees

Similar Companies Hiring

PRIMA Thumbnail
Travel • Software • Marketing Tech • Hospitality • eCommerce
US
15 Employees
Scotch Thumbnail
Artificial Intelligence • eCommerce • Fintech • Payments • Retail • Software • Analytics
US
35 Employees
Golden Pet Brands Thumbnail
Digital Media • eCommerce • Information Technology • Marketing Tech • Pet • Retail • Social Media
El Segundo, California
178 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account