Senior Product Manager, Caper Recommendations & Personalization

Instacart Instacart · Consumer · United States, Canada · Remote · Product Management

Instacart is seeking a Senior Product Manager to own recommendations and personalization for their Caper smart shopping carts. This role involves defining what the cart shows shoppers, when, and how it adapts to them, blending ML, data science, and UX design. The product manager will drive AI-first innovation, ship new content types, and capture real-time signals for intelligent personalization, focusing on engagement metrics and a high-quality shopping experience. The role requires partnering with engineering, data science, and design teams, and aligning stakeholders on strategy and roadmap.

What you'd actually do

  1. Set and own the vision for recommendations and personalization on Caper.
  2. Own the system that decides what to show and when.
  3. Drive AI-first innovation to expand what Caper shows shoppers.
  4. 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.
  5. 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.

Skills

Required

  • 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 move them
  • Demonstrated ability to leverage data and quantitative analysis to make sound decisions in ambiguous environments
  • Track record of close 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 groups and aligning multiple senior stakeholders on strategy and tradeoffs

Nice to have

  • 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

What the JD emphasized

  • own recommendations and personalization
  • recommendation systems
  • personalization
  • machine learning
  • LLM-based techniques
  • real-time signals
  • physical shopping experience
  • recommendation, personalization, ranking, or search products

Other signals

  • recommendation systems
  • personalization
  • machine learning
  • LLM-based techniques
  • real-time signals
  • physical shopping experience