Engineering Manager - Data Automation

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. 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. Team Overview: 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. Team Tech Stack: AWS Terraform Python Kubernetes Clickhouse DynamoDB MySQL Kafka Spark Flink Airflow How You'll Make a Difference You will be responsible for building and managing a team of 7+ engineers to fulfill your data automation vision and roadmap. Responsible for coaching engineers, managing/reviewing technical documentation and articulating a phased approach to achieving the team's overall technical vision. Be responsible for the mission, technical direction and operations of projects that have immediate impact. 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. 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. Required Skills 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 Hybrid office work 3x/week out of our Boston office We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a conditio…