Lead Product Manager, Data Management

Klaviyo Klaviyo · Enterprise · Boston, MA · Product

Lead Product Manager for Data Management and Governance at Klaviyo, focusing on shaping systems for data management, governance, and structure to enable reliable products, analytics, and AI systems. The role involves defining product strategy, roadmaps, and collaborating with engineering, data platform, and AI/ML teams to build scalable data infrastructure.

What you'd actually do

  1. Define and own the product vision and roadmap for Klaviyo’s data management and governance capabilities.
  2. Partner closely with engineering and data platform teams to design scalable systems for data governance, metadata management, lineage, and data quality.
  3. Drive the development of semantic data layers and modeling frameworks that simplify how teams interact with complex data systems.
  4. Evaluate and lead build vs. buy decisions for components of the data management stack.
  5. Collaborate with AI/ML teams to ensure data systems support emerging AI-powered and agent-based capabilities.

Skills

Required

  • 7–10+ years of product management experience
  • meaningful experience building data platforms, infrastructure products, or data tooling
  • Strong technical depth
  • Experience working with data governance frameworks, metadata systems, semantic layers, or analytics infrastructure
  • Comfortable operating in highly technical environments involving large-scale data systems or AI/ML platforms
  • Strong analytical and problem-solving skills
  • Experience evaluating build vs. buy decisions for complex infrastructure products
  • Excellent cross-functional communicator

Nice to have

  • An engineering or technical background is highly valued but not required.

What the JD emphasized

  • manage, govern, and structure data effectively
  • manage, govern, and structure data effectively
  • data management and governance
  • data governance
  • metadata management
  • semantic layers
  • data discoverability
  • data management and governance capabilities
  • data governance
  • metadata management
  • lineage
  • data quality
  • semantic data layers
  • data management stack
  • AI-powered and agent-based capabilities
  • data quality
  • governance adoption
  • discoverability
  • platform reliability
  • data is structured, documented, and accessed