Engineering Manager - Amplify C.s

Klaviyo Klaviyo · Enterprise · Dublin, Ireland · Engineering

Engineering Manager for the Amplify team, which builds internal tools, platforms, and AI-powered automation to improve efficiency and productivity across various departments at Klaviyo. The role involves leading engineering teams, shaping technical direction, and partnering with stakeholders to deliver scalable software solutions, including AI-driven systems and agents.

What you'd actually do

  1. Lead one or more engineering teams and help shape the technical direction for internal tools and platforms that improve efficiency, automation, and productivity.
  2. Lead a portfolio of internal systems supporting Sales, Marketing, Customer Service & Success, R&D, and Finance, including AI-powered workflows, internal web applications, data and event pipelines, third-party integrations, and support tooling.
  3. Balance technical leadership and people leadership, setting direction, modelling best practices, and enabling teams to deliver effectively through others.
  4. Partner closely with engineers, product managers, designers, and senior stakeholders to translate organisational challenges into scalable, high-quality software solutions.
  5. Foster a culture of collaboration, systems thinking, technical excellence, and curiosity around new technologies, including AI.

Skills

Required

  • 5+ years of hands-on software development experience building and operating highly available, full-stack SaaS products
  • 3+ years of experience as an engineering manager, leading high-performing teams
  • technically curious leader with hands-on experience using modern AI tools and workflows
  • comfortable setting technical direction and standards
  • experience owning work end-to-end
  • effective cross-functional communicator
  • people-first leader who enjoys hiring, onboarding, mentoring, and developing engineers
  • leading teams that build internal platforms, tools, or systems that improve productivity, automation, and operational efficiency

Nice to have

  • Experience building internal tools, platforms, or automation for developers and/or non-technical teams.
  • Hands-on experience in full-stack environments, including diagnosing and improving application performance.
  • Strong practical experience using AI tools and patterns (e.g. APIs/SDKs, prompt and context design, automated or agentic workflows, RAG, and evaluation or monitoring).
  • Experience working with cloud infrastructure (AWS preferred), including infrastructure-as-code and containerised environments (Terraform and Kubernetes). Familiarity with GCP or Azure is a plus.

What the JD emphasized

  • AI-powered automation
  • AI systems and agents
  • internal customers
  • technical direction
  • modern AI tools and workflows
  • end-to-end
  • highly available, full-stack SaaS products
  • complex, cross-team initiatives

Other signals

  • AI-powered automation
  • AI systems and agents
  • internal customers
  • technical direction
  • modern AI tools and workflows