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.

At Klaviyo, our Engineering teams build scalable, high-performance systems that power both our product and the infrastructure behind it. As a Software Engineering Intern, you'll be part of a fast-paced, collaborative team whose work reaches thousands of customers worldwide. You won't just be writing code. You'll be solving hard problems, shaping how users experience our product, and learning from engineers who've been doing this for a while.

This internship is your shot to put your software development skills to work in production. You'll be embedded on one of our engineering teams (see overviews below), take on projects that matter to our customers, and build a technical foundation as you make connections across the business.

Our interns come from all kinds of coding backgrounds, but they all share one thing: they're excited to build, own, and scale features end-to-end, from scratch. You'll work alongside experienced engineers, take on hard technical problems, and ship code that supports Klaviyo's mission. We're an AI-first company, so you'll be expected to use AI tools to support your work, learn faster, and do your best work here.

How you'll make an impact

Own features that our 180K+ paying customers rely on daily to reach their consumers and grow their business.
Take responsibility for the mission, technical direction, and operation of projects with immediate impact.
Own the full lifecycle of your code: writing it, testing it, shipping it, and making it better over time. Ownership is expected here, not just encouraged.
Build and ship features that meet a high bar and grow your technical skills while you do it.
Get hands-on debugging real issues, both locally and in production.
Contribute to documentation and support your team during incidents (real-world problems teach you things a tutorial never will).
Work closely with your teammates: ask questions, share ideas, and get better by taking feedback seriously.
Learn to use the right tool for the job, lean into AI, and keep looking for ways to make things better.
Put AI at the center of how you work to move faster. Build smarter systems and better workflows from the ground up.

Who you are

At least one previous software engineering internship or co-op, with hands-on software development experience
Currently pursuing a degree in Computer Science, Engineering, Data Science, Math/Statistics, or a related field
Graduating in December 2027 or May/June 2028
Experience with some of these technologies and languages:
Python, Django, Typescript, React, Go
MySQL, Cassandra, Clickhouse, Kafka, Redis
Amazon Web Services (EC2, RDS, Aurora, etc.), Terraform
You enjoy working across new technologies and you’re excited to work across the stack from back-end to front-end work
You love digging into performance and scalability issues to find breakthrough solutions: a slow-loading UI, too many clicks in a workflow, a database query timing out, a queue that won't drain. You believe every problem can be solved, and you'd rather run toward it than around it.
You enjoy shipping code early and often, working closely with products to build better software based on feedback from thousands of end users.
You embrace Klaviyo's "always learning" culture. We learn faster together, which is part of why this program happens in person.
You've already experimented with AI in work or personal projects, and you're excited to find ways to make your work smarter and more efficient.

Internship logistics

Our Summer Internship Program is an 11-week paid experience [June 1–August 13] at our Boston, MA headquarters. Interns are in office 5 days a week.
Offers will be team agnostic - interns are placed on a team approximately 30 days from the start of the program. Team placement can be on a full-stack, back-end, or front-end team within any of the pillars.