Responsibilities

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The Data Automation team builds tooling that helps our Data Platform engineers provision and test infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment.

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Team Tech Stack

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

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Required Skills

Degree or equivalent experience in a software engineering discipline
Proficient in using at least one modern programming language
Able to communicate well
Able to work with others on a team
Able to learn continuously and adapt to a high growth environment
Able to stick with and solve difficult problems
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.

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Preferred Skills

Experience designing, building, and operating distributed systems in a cloud computing environment
Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
Experience performance tuning and scaling systems
Experience with OLTP and OLAP databases
Experience with high volume data processing and storage systems
Experience using Linux operating systems

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About the company

Klaviyo

Company overview

Klaviyo is a marketing automation and customer data platform used heavily by ecommerce brands to run email, SMS, and other lifecycle messaging. Klaviyo sells software that helps teams segment customers, personalize campaigns, and measure revenue impact using first-party data. The company operates as a public software business (KVYO) and recruits across engineering, product, go-to-market, and corporate functions. Klaviyo positions the culture around high standards, fast execution, and AI fluency as a baseline expectation in modern work.

Locations and presence

Klaviyo is anchored in the United States with major office hubs including Boston, Denver, and San Francisco, and the company advertises a hybrid setup in key hubs. Some roles require being within commuting distance of a hub, and candidate and employee channels discuss minimum in-office days for certain locations.

Palpable Score

71.7

/ 100

Klaviyo offers credible entry-level access through paid internships and co-ops, including campus-posted roles with defined dates and office expectations. Klaviyo is more explicit than most on modern hiring guardrails around AI usage and on pay-range language in U.S. postings, but public clarity on timelines, feedback norms, and early-career outcomes is limited. Klaviyo looks best for graduates who want a demanding environment with strong learning perks, and less ideal for people who need highly predictable hiring timelines and clearly published progression metrics.

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