Engineering Manager - Data Automation

Klaviyo Klaviyo · Enterprise · Boston, MA · Engineering

Engineering Manager for the Data Automation team at Klaviyo, focusing on building and scaling data infrastructure. The role involves leading a team of 7+ engineers, defining technical vision, and optimizing infrastructure. A key aspect is transforming workflows by integrating AI to build smarter systems and improve efficiency, though the core deliverable is data infrastructure rather than AI models themselves.

What you'd actually do

  1. You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.
  2. Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.
  3. Be responsible for the mission, technical direction and operations of projects that have immediate impact.
  4. Wholly owning the frameworks that enable us to provision, update, test, monitor, and scale infrastructure to power features that 183,000+ customers rely on daily to reach 4B+ consumers to drive their business forward.
  5. Optimizing infrastructure with the teams that own Klaviyo’s analytics system that provides insight on hundreds of terabytes of data.

Skills

Required

  • BA or BS Degree in Computer Science, related field, or equivalent experience
  • 8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems.
  • 3+ years of people management experience
  • Hands-on experience designing, building, and operating reliable, fault-tolerant, and high performance distributed systems
  • Ability to handle yourself in outage situations and to drive failures to root cause analysis and prevention of future issues
  • Experience writing code using best practices in a language such as Python, Ruby, Go, etc.
  • You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
  • Proven ability to come up to speed quickly

Nice to have

  • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

What the JD emphasized

  • 8+ years of software engineering experience in a DevOps environment with specific experience in data processing systems.
  • 3+ years of people management experience
  • You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Other signals

  • Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
  • You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.