Search Algorithm Product Owner

Job description

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:

Right along with Target’s distinctive retail brand, we are constantly improving and innovating our digital shopping experience.

Are you ready to excel in the fast-changing retail environment?

Are you a customer service enthusiast who’s curious about the guest and can see the shopping journey through their eyes?

Then you’ll have success on the Digital Strategy & Platform team, whose goal is to offer guests a seamless online shopping experience across our platforms—including Target.Com and the store network’s fulfillment capabilities.

Here, you’ll collaborate to create and implement the digital strategies that enrich the online experience through the right mix of personalization, simplicity and intuitiveness.

Your ideas will support Target in complementing the beloved in-store shopping interaction with a convenient, reliable and instantly gratifying digital experience.

Role overview:

As a Sr Product Manager – Search Experience Algorithms, you will own the algorithmic organization of Search Listing Pages (SLPs)—deciding which modules to show, in what order, and how to personalize the page so the search experience feels elevated and intentional.

You will translate style and design priorities into measurable outcomes by orchestrating aisles/deals/new-arrivals modules, optimizing page density and hierarchy, and running disciplined experiments that lift CTR, ATC, and conversion while maintaining enterprise guardrails.

You will partner closely with Ranking/Retrieval, Data Science, Experimentation, UX/Design, Site Merch, SEO, and Platform teams to define the features and signals that power grid module selection and ranking, stand up key-attribute aisles and behavior-driven personalization, and ensure day-one visibility for can’t-miss items.

Your work will connect style-forward intent to outcomes through repeatable A/B testing and measurement, turning page-level organization into a durable lever for guest delight and business performance.

Responsibilities

• Define strategy & roadmap for Grid Module Ranking and Page-Level Organization across SLPs, aligned to “style-forward” objectives.
• Own module selection & ordering (aisles, deals, new arrivals, brand modules) with clear decision logic and measurable success criteria.
• Lead behavior-driven personalization of page structure using clickstream and engagement signals (segment/session aware).
• Design and run experiments (A/B and approved alternatives) on module mix, placement, density.
• Specify data & features needed for module scoring (e.G., engagement priors, seasonal signals, launch flags, “can’t-miss” inventory).
• Partner with Ranking/Retrieval to ensure page-level intent complements product-level relevance;
  create a feedback loop when key items are missing.
• Operationalize “key-attribute aisles” and similar organizational patterns (e.G., material/fit for apparel) to reduce reformulations and pogo.
• Set and own metrics: CTR/ATC/CVR uplift, reformulation rate, dwell/pogo, layout-level latency, and revenue per search
• Align with Merch/SEO/Brand on high-priority products and launch placements;
  ensure day-one visibility of critical items.
• Write crisp specs for engineering and DS;
  manage trade-offs across latency, cost, and quality.
• Ensure compliance & governance on data usage and personalization.

Core responsibilities of this job are described within this job description.

Job duties may change at any time due to business needs.

About you:

• 7+ years Product Management (or equivalent) with live experimentation on consumer surfaces.
• Demonstrated experience with Search, recommendations, or personalization on high-traffic pages.
• Proficiency with A/B testing and metrics (CTR/ATC/CVR, guardrails);
  ability to read dashboards and query data (e.G., SQL/BigQuery).
• Strong collaboration with Data Science/Engineering;
  ability to translate style/design objectives into algorithmic requirements.
• Experience in shipped page-level organization or module-ranking systems at scale.
• Background working with ranking/reranking, embeddings, or session features.
• Experience in retail/e-commerce with style-led categories (apparel, décor, beauty).
• Comfort balancing latency/cost/quality;
  understanding of feature stores and real-time signals.
• Excellent written communication: specs, decision memos, roadmap storytelling.

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

Required Skill Profession

Computer Occupations