Lead Product Manager, Developer Experience

Klaviyo Klaviyo · Enterprise · Boston, MA · Product

Lead Product Manager for Developer Experience at an AI-first engineering organization. The role focuses on improving internal developer workflows, velocity, and quality by treating developers as customers and leveraging AI tools. Key responsibilities include setting product vision, identifying developer pain points, accelerating development with AI (e.g., autonomous code agents, AI copilots), driving success metrics, championing quality and safety, and scaling tooling for the future.

What you'd actually do

  1. Set the Vision: Define the product strategy for Klaviyo’s developer environment, aligning to our _Need for Speed_ program — targeting massive improvements in engineering velocity, developer experience, and quality.
  2. Make Developers Your Customers: Treat Klaviyo engineers as the primary stakeholders. Identify pain points across the PDLC (coding, testing, deployment, maintenance) and prioritize investments that meaningfully improve their productivity and happiness.
  3. Accelerate with AI: Institutionalize AI as a force multiplier — from autonomous code agents to AI copilots for reviews and testing. Ensure Klaviyo leads in adopting AI-first development practices, reducing friction without compromising safety.
  4. Deliver Measurable Outcomes: Drive success metrics such as PR throughput, cycle time, change failure rate, developer experience index, and AI tool adoption.
  5. Champion Quality & Safety: Partner with SRE and QE to ensure reliability and safety are built into every paved path — incidents and defects decrease even as velocity increases.

Skills

Required

  • Product strategy definition
  • Developer experience improvement
  • AI tool adoption and integration
  • Metrics-driven decision making
  • Collaboration with engineering leaders
  • Influencing without authority

Nice to have

  • Experience as an Engineering leader, Product lead, or Founder
  • Deep empathy for engineers
  • Understanding of AI's potential in software development
  • Familiarity with engineering productivity and reliability metrics

What the JD emphasized

  • AI-first engineering organization
  • AI-first development practices
  • AI tools are seamlessly integrated into workflows