Senior Software Engineer - Flows And Insight Management

About the Role

Klaviyo is looking for a Senior Full Stack Engineer to support key initiatives that enhance our product offerings and drive company growth. In this role, you'll play a critical part in delivering end-to-end solutions using both front-end and back-end technologies. You'll improve existing products and develop new capabilities that push the boundaries of what's possible for our customers.

As a Senior Software Engineer, you'll tackle complex challenges, explore multiple solutions, and weigh business and technical trade-offs to determine the best path forward. You'll actively contribute to team discussions and help shape important technology decisions. You'll also be responsible for shipping well-designed, thoroughly tested solutions that prioritize reliability and performance.

On the Flows Insight & Management team, we focus on crafting an exceptional user experience for the Flows product area which empowers users to to build, manage, and analyze automated workflows seamlessly. Our work revolves around an intuitive visual editor that lets users create and modify flows with ease, as well as the rich insights and analytics that help them understand how their flows are performing. We also manage APIs that integrate with other services, creating a powerful ecosystem for users to drive automation in new and exciting ways.

Collaboration is key to what we do. We actively partner with engineering teams across the organization, giving us exposure to diverse parts of the product and opportunities to impact various projects. This keeps us engaged with a variety of challenges and solutions, as we're always learning and evolving.

Looking to the future, our team is focused on expanding the capabilities of Flows. We'll be enhancing our flow editor and ecosystem to make it even easier to build and expand on flows. We're also building smarter recommendations and actionable insights to help users optimize their flows. With our continued evolution, we envision Flows not just as a tool, but as a platform that empowers teams to do more, build more, and connect seamlessly.

How You Will Make a Difference:

• Drive critical platform improvement projects that enhance performance and scalability
• Optimize real-time pipelines for accurate usage tracking at scale (e.g., campaign volumes)
• Deliver billing transparency improvements-both platform and customer-facing-through incremental value, fast learning, and unlocks that drive clarity, trust, and reduced friction
• Focused on unlocking impact by using the right tools for the job, leaning into AI, and always looking for opportunities to make a meaningful difference

Own and evolve key components of an event-driven architecture powering high-reliability systems

• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Who You Are:

• Experienced engineer with deep expertise in Python and Django-or a fast, adaptable learner who thrives in any stack with the right tools.
• A proven track record of building high-quality products and systems, with a focus on writing clean, maintainable code
• 5+ years of experience in a software engineering role
• Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies
• Familiarity with code reviews and leading or participating in robust testing practices
• Experience working in agile, fast-paced environments
• Skilled in working with cloud technologies, particularly AWS
• Experienced in event-driven architecture using tools like Kafka, SQS, or PubSub
• Track record of building and maintaining reliable, large-scale production systems
• Skilled at mentoring teammates and fostering growth across the engineering org
• Comfortable making fast, high-impact decisions and communicating clearly with both the team and stakeholders in dynamic environments
• 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

Technologies We Use:

• Languages & Frameworks: Python, Django, React, TypeScript
• Infrastructure: AWS (S3, Athena), Redis, MySQL

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