Engineering Manager - Data Automation

Team Overview

At Klaviyo, we love tackling tough engineering problems and look for engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last.

Klaviyo operates a real-time data analytics platform written primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). The Data Automation team builds tooling and establishes best practices and technology choices that help enable the Data Platform area to power core Klaviyo functionality and generate data-driven insights.

As a founding member on the Data Automation team, you will have ownership over defining the technical and organizational vision for the team. You will be responsible for leading the team to design and build systems that help us operate our mission critical analytics infrastructure.

• AWS
• Terraform
• Python
• Kubernetes
• Clickhouse
• DynamoDB
• MySQL
• Kafka
• Spark
• Flink
• Airflow

• Responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap.
• Coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision.
• Own the mission, technical direction and operations of projects that have immediate impact.
• Own 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.
• Optimizing infrastructure with the teams that own Klaviyo’s analytics system that provides insight on hundreds of terabytes of data.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

• BA or BS Degree in Computer Science, related field, or equivalent experience
• 8+ years of software engineering experience in a Dev Ops 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 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.
• Haven’t yet experimented with AI in work or personal projects, but 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
• Hybrid office work 3x/week out of our Boston office

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