The opportunity
Caper is at the forefront of Physical AI, building smart shopping carts that sense and respond to the real world in real time. By bringing intelligence onto the cart, Caper digitizes the entire in-store shopping journey, turning every trip into an interactive, personalized…
What you'll do
Set and own the vision for recommendations and personalization on Caper.: Caper turns the store itself into a personalization surface, where every item added and every step through the store is a chance to show something useful in the moment. You will drive Engagement as a primary pillar metric — growing customer interactions, building monetizable surfaces, and diversifying the content mix to serve savings, discovery, and health-focused shoppers.
Own the system that decides what to show and when. Mature recommendation and: item ranking using machine learning, including LLM-based techniques, and use real-time signals — cart location and motion, lists, search, and Instacart personalization data — to deliver content at the moments it is most relevant rather than constant or intrusive.
Drive AI-first innovation to expand what Caper shows shoppers. Ship net-new: content types with nuanced product information and pairings tailored to each individual, and lead the architecture for capturing real-time, in-session signals that make personalization feel genuinely intelligent.
Champion a high-quality, intuitive shopping experience by partnering closely: with Design to translate complex personalization logic into interactions that feel simple and natural on the cart screen. Spend time in labs and partner stores to observe real shopper behavior, test features, and iterate quickly based on what you learn.
Run a fast, experiment-driven roadmap and serve as the product lead for: recommendations and personalization across the organization — aligning senior stakeholders on strategy, tradeoffs, and progress, and partnering cross-functionally with Engineering, Data Science, Design, Ads, and Operations from discovery through launch with clear PRDs and measurable success criteria.
+ years of product management experience or equivalent practical experience
What they're looking for
- 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
