Director of Engineering - Growth & Engagement

Klaviyo Klaviyo · Enterprise · Boston, MA · Engineering

Director of Engineering leading product engineering teams focused on customer journey, acquisition, activation, and onsite experience. Role involves leading multiple teams, partnering with cross-functional stakeholders, and driving an AI-first mindset to improve personalization, experimentation, and support. Requires strong product sense, experimentation culture, and leadership experience in a high-growth SaaS environment.

What you'd actually do

  1. Own the engineering strategy, execution, and operating cadence across K-Social, Growth, and Customer Hub, ensuring each team’s roadmap ladders into Klaviyo’s broader growth strategy.
  2. Lead the engineering evolution of K-Social, connecting social engagement to the Klaviyo customer profile and building the technical foundation for products like Social Auto-Replies, engagement intelligence, retargeting ads, and content activation.
  3. Drive the Growth portfolio across onboarding, free-to-paid activation, and cross-sell, building systems and team habits that improve conversion, shorten time-to-value, and create measurable business impact.
  4. Shape Customer Hub into a best-in-class personalized onsite experience that encourages signed-in shopping, delivers proactive support, surfaces recommendations and offers, and makes self-service account management intuitive and useful.
  5. Build a high-velocity experimentation culture across the portfolio, including the instrumentation, frameworks, and decision-making rigor needed to run rapid tests and learn quickly.

Skills

Required

  • 10+ years of experience in software engineering
  • leading multiple product engineering teams
  • high-growth SaaS environment
  • managing managers and senior engineers
  • product-led growth (PLG) experience
  • ownership of onboarding, activation, conversion, monetization, cross-sell, or adjacent growth motions
  • built or scaled strong experimentation practices
  • product-minded engineering leader
  • strong product sense
  • leading customer-facing application teams
  • frontend fluency
  • highly data-driven
  • work exceptionally well with Product, Design, Data, GTM, and Support partners
  • move with urgency and judgment
  • set a high bar for execution
  • comfortable making hard tradeoffs

What the JD emphasized

  • AI-first
  • AI tools
  • AI can improve personalization
  • AI can accelerate experimentation
  • AI can strengthen support experiences
  • AI can help teams make better decisions faster
  • Continuously experiment with AI tools
  • championing new applications that accelerate workflows and elevate quality responsibly