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Not Specified Permanent

Cambridge, Massachusetts · USA job

Lead Engineer, Applied AI (Customer Agent)

Klaviyo

Cambridge, Massachusetts

Job description

Overview

As Senior Engineering Manager, you will lead the Customer Agent team from the ground up, combining people leadership with hands-on engineering to ship a scalable, reliable AI-driven agent platform. You will partner with product, data science, and GTM teams to convert customer problems into a technical roadmap and measurable outcomes. Reliability is treated as a product feature, and you'll operate in a fast, live-traffic environment. This role offers a chance to shape how AI-powered conversations engage millions of customers at scale.

Compensation / Benefits
  • Base salary range: $216,000-$324,000 USD
  • bonus opportunities and equity
  • sign-on payments
  • comprehensive health, welfare, and wellbeing benefits
  • travel up to 10% for onboarding, client work, and events
  • in-office role in Boston, MA
Responsibilities
  • Own the Customer Agent team and roadmap from inception to delivery
  • Hands-on contribution: write code, review architecture, and fix production issues
  • Guide system design for orchestration, evaluation, and guardrails for safe autonomous behavior
  • Manage and grow a team of full-stack and AI engineers, including hiring and career development
  • Provide and receive feedback with an emphasis on empathy and growth
  • Collaborate with product, data science, and go-to-market to translate customer needs into a technical plan
Key requirements
  • 8+ years in software engineering building software products
  • 4+ years of engineering management experience
  • Hands-on with coding, debugging production issues, and architecture decisions
  • Proven track record leading multi-quarter initiatives across multiple engineering teams
  • Experience building scalable production systems and ensuring reliability as a product feature
  • Experience conducting performance reviews and mentoring engineers at all career levels
  • empathy
  • curiosity
  • growth mindset
  • production agentic systems
  • orchestration and evaluation frameworks
  • guardrails for autonomous agent behavior

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