Jobs at Klaviyo

Positions 1,467

Klaviyo is a leading marketing-automation platform that powers e-commerce brands with personalized email and SMS campaigns. Launched in 2012, the Boston-based company now processes billions of messages per month, leveraging a Python-based stack and real-time analytics to drive revenue growth for merchants worldwide.

Klaviyo hires across engineering, product, data science, and customer success, with roles ranging from Senior Software Engineer and Data Engineer to Product Manager and Customer Success Manager. Candidates can expect a culture of rapid iteration, data-driven experimentation, and frequent cross-functional collaboration.

Checking Klaviyo listings on Job Transparency gives you instant access to posted salary ranges, employee satisfaction scores, and interview experience notes—allowing you to benchmark offers, negotiate confidently, and choose a role that aligns with your career goals.

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Frequently Asked Questions

What is it like to work at Klaviyo?
Klaviyo emphasizes a data-driven culture, with flexible remote work options, quarterly hackathons, and a strong focus on professional growth through internal learning programs and mentorship. Employees regularly collaborate across product, engineering, and data teams to iterate on features that directly impact merchant revenue.
What types of positions are available at Klaviyo?
Klaviyo offers roles in software engineering (frontend, backend, full-stack, data engineering), product management, data science, UX design, customer success, sales engineering, marketing, and operations. The company values cross-functional collaboration and often pairs product and engineering leads on feature development.
How can I stand out as an applicant?
Showcase concrete data-driven outcomes—highlight projects where you increased open rates or reduced churn. Contribute to open-source or publish technical blogs. Tailor your resume to Klaviyo’s tech stack (Python, React, Snowflake) and include metrics that demonstrate impact. During interviews, prepare to discuss A/B testing frameworks and your approach to scaling high-volume messaging.

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