Posted 13 Nov 2026 (today) · Job 106251 · Read from the employer's Workday site, last checked 13 Nov 2026, 23:31 UTC

Product Manager

Target · Bangalore, India

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Product Manager – Ad Decisioning Enablement

Roundel, Target’s Retail Media Network

About us

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Team Overview

Roundel is Target’s retail media network, helping brands connect with millions of Target guests through relevant, measurable, and guest-centered advertising experiences.

As retail media continues to grow, advertisers are looking for smarter ways to plan, activate, optimize, and measure their investments. Roundel is investing in next-generation intelligence products that help teams and advertisers make better media decisions across channels, campaign stages, and business objectives.

We are looking for a Product Manager to lead a high-impact area focused on ad-inventory forecasting and ad-relevance capabilities

In this role, you will shape capabilities that enable our ad-decisioning engine elevate customer experience and deliver advertiser outcomes. This is a hands-on product leadership role for someone who enjoys solving ambiguous problems, and building systems that translate complex signals into decision drivers

You will partner closely with data science, engineering, analytics, and product teams to define the strategy, roadmap, and execution for capabilities that help Roundel deliver more effective, and measurable advertising outcomes.

What you’ll do


  • Own the product strategy and roadmap for ad-inventory forecasting and ad-relevance.
  • Working at the intersection of data, AI, and business, you’ll partner closely with data scientists, engineers, and partner teams to design scalable systems and intelligent models.
  • Collaborate with sales, GTM and other product teams to ensure these products translate into real-world value for advertisers, and to continuously refine based on adoption, performance, and market feedback.
  • As part of Roundel, Target’s retail media business, play a pivotal role in advancing the sophistication of our forecasting, optimization, and recommendation engines.
  • Influence how advertisers plan, invest, and win on Target’s platform — impacting both advertiser success and Target’s bottom line.

What we’re looking for


  • Experience: 4+ years of Product Management, ideally with a focus on data-driven, optimization, or AI/ML-powered products in adtech, martech, or related fields.
  • Technical fluency: Comfortable working with data science, machine learning, experimentation, or AI-driven systems; able to bridge technical depth with business application.
  • Domain knowledge: Understanding of retail media networks, digital advertising ecosystems, or media buying workflows is a strong plus.
  • Cross-functional leadership: Proven ability to partner with data engineers, scientists, API developers, and commercial teams to bring complex products to market.
  • Analytical strength: Skilled at interpreting large datasets, validating accuracy, and turning complex signals into actionable decisions.
  • AI curiosity: Experience (or strong interest) in GenAI/agentic AI and applying emerging technologies to improve forecasting, optimization, and recommendations.
  • Strategic mindset: Able to set product vision, establish OKRs, and drive execution across multiple dependencies in a fast-moving space.
  • Influence & storytelling: Excellent communicator who can distil technical complexity into compelling narratives for sales, advertisers, and executives.
  • Organized & adaptable: Adept at managing priorities, navigating ambiguity, and iterating quickly based on feedback and results.
  • A bias for action, curiosity, structured problem-solving, and a passion for building products that create measurable impact.

Know More About Us here: 

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