Software Engineer - Advanced Reporting

At Klaviyo, we value the unique backgrounds, experiences, and perspectives each team member brings to our workplace. We believe everyone deserves a fair shot at success and appreciate experiences beyond traditional job requirements. If you’re a close but not exact match with the description, we encourage you to apply.

About the role

Klaviyo operates a real-time data analytics platform built for massive scale, primarily coded in Python. The Advanced Reporting Team delivers enterprise-grade, AI-powered analytics that help sophisticated brands understand their business, make confident decisions, and take action directly inside the Klaviyo platform. The team builds curated and customizable reporting experiences serving all Klaviyo customers with complex data, multiple channels, and advanced analytical needs.

As an Engineer on the Advanced Reporting Team, you will be deeply involved in the technical strategy behind how we access, aggregate, and present data at scale. You’ll own projects driving adoption and retention of Marketing Analytics, building reporting capabilities that are a key reason customers purchase and expand with Klaviyo. You’ll work full stack, from data access and storage layers to front-end experiences that make complex data intuitive and actionable. Your tech stack will include Python, TypeScript, React, AWS, and Django.

Responsibilities

• Deliver advanced reporting capabilities that drive adoption and directly contribute to growth.
• Build experiences that close the loop from insight to action, enabling customers to create segments, campaigns, and flows directly from reporting surfaces.
• Develop product-led experiences that make the value of Marketing Analytics visible and compelling.
• Work cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo.
• Grow as the team expands its scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations.

Requirements

• 2+ years of experience working in a full stack capacity.
• Proficient in at least one modern programming language (Python or TypeScript/React are a plus).
• Degree or equivalent experience in a software engineering discipline.
• Able to communicate well and collaborate effectively across disciplines.
• Able to work with others on a team and partner closely with product, design, and data stakeholders.
• Able to learn continuously and adapt to a high-growth environment.
• Able to stick with and solve difficult problems, particularly around data at scale.
• Excited to work at the intersection of data visualization, analytics, and AI, building experiences that help customers understand and act on their data.
• Interested in up-market product challenges, including enterprise-grade reliability and customization.

Technologies We Use

• Front-end: TypeScript, React, and CSS.
• Backend: Django, FastAPI, and Python, with data pipelines via Airflow.
• Infrastructure: AWS, Kubernetes, Docker, and Terraform.

Pay

Our salary range reflects the cost of labor across various U.S. geographic markets. The base salary offered is determined by job-related skills, relevant experience, education or training, and work location. The range for this position across all U.S. locations is $116,000—$174,000 USD.

In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.

Schedule

This role is onsite in Boston, MA 5 days a week and may require up to 10% travel for purposes such as new hire onboarding, client or partner work, team meetings, and industry events. Travel is coordinated in advance.

Klaviyo is committed to providing accommodations as needed. By participating in Klaviyo’s interview process, you acknowledge you have read and will adhere to our Guidelines for using AI in the Klaviyo interview process.