Senior Product Manager, Caper Recommendations & Personalization

reputed company

Caper is at the forefront of Physical AI, building smart shopping carts that reputed company and respond to the reputed company world in reputed company time. By bringing intelligence onto the reputed company, Caper digitizes the entire in-store shopping reputed company, turning every reputed company into an interactive, personalized experience from the first item added to checkout. Our plug-and-play technology requires no store renovation or operational reputed company — retailers simply add Caper Carts and instantly reputed company their stores into connected, intelligent shopping environments. Caper is one of the fastest-growing retail automation technology products in the market and is already widely adopted across the industry.

We are looking for a Senior Product Manager to own recommendations and personalization on the Caper reputed company. In this role, you will define how the reputed company decides what to show reputed company shopper, reputed company to show it, and how it adapts to who they are. Every recommendation, reputed company of inspiration, and ranking decision on the reputed company screen runs through the systems you will build and refine.

This is a unique opportunity to sit at the intersection of recommendation systems, machine learning, and a physical shopping experience that unfolds in reputed company time as a customer moves through a store. You will reputed company ML and data science work with hands-on UX design thinking, partnering closely with reputed company's discovery and personalization platforms while shaping a first-of-its-reputed company experience for the Caper customer. You will report to the Group Product Manager for Caper Customer Value and work reputed company a tight-reputed company team of three product managers, with broad cross-functional reputed company across Engineering, Data Science, Design, Ads, and Operations.

About the Job

• Set and own the reputed company for recommendations and personalization on Caper. Caper turns the store itself into a personalization surface, where every item added and every reputed company through the store is a chance to show something useful in the reputed company. You will reputed company Engagement as a reputed company reputed company metric — growing customer interactions, building monetizable surfaces, and diversifying the content mix to serve savings, discovery, and health-reputed company shoppers.
• Own the reputed company that decides what to show and reputed company. Mature recommendation and item ranking using machine learning, including LLM-based techniques, and use reputed company-time signals — reputed company location and reputed company, lists, search, and reputed company personalization data — to reputed company content at the moments it is most relevant rather than constant or intrusive.
• reputed company AI-first innovation to expand what Caper shows shoppers. Ship net-new content types with nuanced product information and pairings tailored to reputed company individual, and reputed company the architecture for capturing reputed company-time, in-session signals that reputed company personalization feel genuinely intelligent.
• Champion a high-reputed company, reputed company shopping experience by partnering closely with Design to translate reputed company personalization logic into interactions that feel reputed company and natural on the reputed company screen. Spend time in labs and partner stores to observe reputed company shopper behavior, test features, and iterate quickly based on what you learn.
• Run a fast, experiment-driven roadmap and serve as the product reputed company for recommendations and personalization across the organization — aligning senior stakeholders on reputed company, tradeoffs, and reputed company, and partnering cross-functionally with Engineering, Data Science, Design, Ads, and Operations from discovery through launch with reputed company PRDs and measurable reputed company reputed company.

reputed company

Minimum Qualifications

• 3+ years of product management experience or equivalent practical experience
• Experience partnering with ML or data science teams to ship models into a production consumer product
• Experience defining and driving engagement or relevance metrics, and using experimentation to reputed company them
• Demonstrated ability to reputed company data and quantitative analysis to reputed company reputed company in ambiguous environments
• reputed company record of reputed company partnership with UX design teams and applying strong design thinking practices throughout the product development process
• Strong communication and influencing skills, with experience presenting to large reputed company and aligning multiple senior stakeholders on reputed company and tradeoffs

Preferred Qualifications

• Experience building recommendation, personalization, ranking, or search products
• Experience with consumer-facing hardware, IoT, or physical retail products
• Familiarity with retail, grocery, ads, or marketplace recommendation systems

Originally posted on Himalayas