Lead Product Manager, Groups Platform

Klaviyo Klaviyo · Enterprise · Boston, MA · Product

Lead Product Manager for Klaviyo's segmentation platform, focusing on building and operating foundational audience systems. The role involves defining strategy and execution for creating, evaluating, and leveraging audiences across the product, improving system performance, expanding definition flexibility, and enabling customers to understand and optimize their audiences. Requires strong systems thinking and experience with complex data problems and customer-facing capabilities.

What you'd actually do

  1. Define and own the product vision and roadmap for Klaviyo’s segmentation platform.
  2. Build and operate segmentation as a first-class data product, optimized for correctness, performance, and scale.
  3. Partner with engineering to improve system performance, including segmentation latency, reliability, and SLA adherence.
  4. Evolve the expressiveness of segmentation (e.g., nested logic, advanced conditions) to meet the needs of mid-market and enterprise customers.
  5. Ensure segment definitions are consistent, explainable, and resilient as data complexity grows.

Skills

Required

  • 7–10+ years of product management experience
  • building data platforms
  • infrastructure products
  • technically complex systems
  • technical depth
  • work closely with engineers on system design, performance, and scalability
  • working with large-scale data systems
  • query systems
  • real-time/near-real-time evaluation systems
  • building customer-facing products on top of complex backend systems
  • analytical skills
  • defining and managing system-level metrics and SLAs
  • balance infrastructure investments with user-facing product improvements
  • cross-functional communicator
  • align engineering, product, and business stakeholders

Nice to have

  • marketing technology
  • personalization systems
  • audience platforms

What the JD emphasized

  • technically complex systems
  • large-scale data systems
  • system design
  • performance
  • scalability
  • real-time/near-real-time evaluation systems
  • system-level metrics and SLAs