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Salary
≈ $16k – $31k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Jul 9, 2026. Target scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Target is an American general merchandise retailer founded in 1902 as the Dayton Dry Goods Company, which opened the first discount store under the Target name in 1962. It runs roughly two thousand stores across the United States selling apparel, home goods, beauty, electronics, toys and groceries, and has built its position on design partnerships and owned brands that give it products competitors cannot stock. Headquartered in Minneapolis and listed on the New York Stock Exchange, it fulfils the large majority of digital orders from its own stores rather than from separate warehouses.

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.

Role overview:

We are looking for a Sr Product Manager (Demand Intelligence) to lead a high-impact product area focused on cross-channel targeting and media intelligence.

In this role, you will shape products that help identify meaningful media opportunities, guide smarter targeting decisions, and connect insights across channels into clear, actionable recommendations. You will work at the intersection of retail media, data, AI/ML, campaign strategy, and product development.

This is a hands-on product leadership role for someone who enjoys solving ambiguous problems, and building tools that help internal teams and advertisers make more confident decisions, while translating complex

signals into intuitive plans, and experiences

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

What you’ll do

  • Own the product strategy and roadmap for cross-channel targeting and media intelligence capabilities within Roundel.

  • Build products that help users identify high-value targeting opportunities and next best actions across audiences, contextual signals, keywords, products, categories, and channels.

  • Translate complex data signals, model outputs, and business rules into clear, actionable recommendations that users can understand, trust, and act on.

  • Define how targeting insights and media signals should support planning, optimization, and performance storytelling across the campaign lifecycle.

  • Create product experiences that help users understand not only what happened, but what to do next and why.

  • Partner with Data Science, Engineering, Analytics, Sales, Media Strategy, Operations, and Product teams to define, build, launch, and scale intelligent product experiences.

  • Work closely with technical partners to shape recommendation logic, product requirements, quality standards, feedback loops, and success metrics.

  • Prioritize product investments based on advertiser needs, business value, technical feasibility, user adoption, and measurable impact.

  • Partner with Sales and Media Strategy teams to understand how recommendations are used in advertiser conversations, planning workflows, and campaign decision-making.

  • Partner with Measurement and Analytics teams to evaluate product adoption, recommendation effectiveness, and business outcomes.

  • Drive product discovery, roadmap planning, requirements definition, execution, launch readiness, and ongoing iteration.

  • Champion trust, explainability, usability, and responsible use of data and AI in product experiences.

  • Influence cross-functional stakeholders and align teams around a clear product vision, priorities, and delivery plan.

About you:

  • Four-year degree or equivalent experience.

  • 6+ years of Product Management experience, preferably in retail media, AdTech, MarTech, data products, AI/ML products, recommendation systems, decisioning platforms, or digital advertising.

  • Strong understanding of digital advertising concepts such as audiences, contextual signals, keyword strategy, product-level signals, campaign objectives, media planning, optimization, and measurement.

  • Experience building products that use data, models, rules, or recommendations to support business decision-making.

  • Ability to translate complex technical concepts into clear user experiences, product requirements, and business outcomes.

  • Strong product judgment around trust, explainability, prioritization, and usability.

  • Experience working closely with engineering, data science, analytics, and business stakeholders.

  • Comfort operating in ambiguous, fast-evolving product spaces where strategy, user needs, and technical capabilities are still being shaped.

  • Strong communication and influencing skills, with the ability to align cross-functional partners around a clear product direction.

  • A bias for action, curiosity, structured problem-solving, and a passion for building products that create measurable impact.

Nice to have

  • Experience in retail media, commerce media, sponsored products, display advertising, or marketplace advertising.

  • Experience with targeting, audience strategy, media planning, campaign optimization, or performance marketing.

  • Experience with recommendation systems, next-best-action products, personalization, decisioning platforms, or AI-powered product experiences.

  • Experience building products for both internal business users and external customers.

  • Experience with experimentation, attribution, incrementality, or closed-loop learning.

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