Senior Product Manager, Profiles Platform

Klaviyo Klaviyo · Enterprise · Boston, MA +1 · Product

Senior Product Manager for Klaviyo's Profiles Platform, focusing on the core customer data system. This role involves owning the strategy and roadmap for how customer profile data is structured, processed, and served, working at the intersection of data infrastructure, computed data, and scalability. The goal is to ensure profile data is accurate, scalable, and usable across the platform, supporting enterprise and global use cases, data residency, and compliance needs. The role also involves building a computed properties platform and improving data modeling and transformations.

What you'd actually do

  1. Own the strategy and roadmap for Klaviyo’s core profile data system, including profile traits, transformations, and storage layers
  2. Serve as the product owner for the source of truth for customer data across the platform
  3. Partner closely with engineering to evolve profile data architecture and services at massive scale
  4. Collaborate with the Identity, Data, and Consent teams to ensure accurate and unified customer records
  5. Drive improvements in profile data quality, usability, and modeling for downstream consumers (segmentation, flows, analytics, AI)

Skills

Required

  • 6+ years of product management experience, ideally in platform, data infrastructure, or backend systems
  • Experience working on data models, pipelines, or large-scale distributed systems
  • Comfortable operating in highly technical environments and partnering closely with engineering
  • Experience driving cross-team alignment across multiple stakeholders
  • Think in terms of systems and tradeoffs (scale, cost, performance, usability)
  • Can balance long-term platform investments with short-term product needs
  • Communicate clearly and can translate complex technical concepts into business impact

Nice to have

  • Experience with customer data platforms (CDPs) or identity systems
  • Familiarity with data modeling, event pipelines, or storage systems (e.g., KVS, streaming ingestion)
  • Experience supporting enterprise-scale or high-volume systems
  • Exposure to AI/analytics platforms that depend on structured customer data
  • Experience with data residency, privacy, or compliance (e.g., GDPR, HIPAA)

What the JD emphasized

  • enterprise and global use cases
  • data residency
  • compliance requirements