Full-Stack Engineer, AI-Powered Advanced Reporting

Triwill Group; Boston (MA); On-site; USD 116,000 - 174,000; Full time

Job summary

Klaviyo is seeking a SWE II for its Advanced Reporting Team in Boston, onsite 5x a week, to deliver enterprise-grade analytics and AI-powered insights inside the Klaviyo platform. You will work end-to-end across data access, storage, and frontend experiences using Python, TypeScript, React, AWS, and Django.

You will partner with Product, Design, and Data Science to ensure insights translate into action, driving adoption and growth for marketing analytics at scale.

Qualifications

• 2+ years of experience in a full-stack capacity.
• Proficient in Python or TypeScript/React.
• Degree or equivalent experience in software engineering.

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.
• Collaborate cross-functionally with Product, Design, Data Science, and partner engineering teams to shape the roadmap and technical direction of analytics at Klaviyo.
• Grow the team’s scope across enterprise portfolio analytics, AI-assisted exploration, and agentic integrations.

Skills

Full stack

Python

TypeScript/React

Education

Degree or equivalent experience in software engineering

Tools

Django

FastAPI

Airflow

AWS

Kubernetes

Docker

Terraform

Job description

Klaviyo is seeking a SWE II for its Advanced Reporting Team in Boston, onsite 5x a week, to deliver enterprise-grade analytics and AI-powered insights inside the Klaviyo platform. You will work end-to-end across data access, storage, and frontend experiences using Python, TypeScript, React, AWS, and Django.

You will partner with Product, Design, and Data Science to ensure insights translate into action, driving adoption and growth for marketing analytics at scale.