About the job

Join Polar Analytics: The Premier Data Platform for Consumer Brands
At Polar Analytics, we transform complex data into actionable insights, empowering brands to make informed decisions swiftly and efficiently. Our platform is powerful yet accessible, providing DTC brands with the analytics they need to achieve scalable profitability.
Our mission is clear: we aim to accelerate the growth of independent DTC brands—enabling them to compete effectively and profitably.
Why Choose Polar Analytics?
4,000+ Brands and Counting
We’ve expanded to over 4,000 active merchants as of January 2025, with plans to reach 10,000+ within this year.
Revolutionizing Analytics
Polar is redefining the Shopify analytics landscape through innovative data infrastructure designed for seamless orchestration—placing us at the leading edge of AI-powered commerce automation.
Supported by Top-Tier Investors
We have successfully raised $28.5M from prestigious investors like Frst, Point9, and Chalfen Ventures, recognized for identifying future industry leaders early.
A Team of eCommerce & Data Innovators
Our diverse team comprises seasoned professionals from leading eCommerce SaaS platforms and Silicon Valley data powerhouses, all united by a common goal: to forge the next industry leader.
About Us
We are developing a cutting-edge data & AI operating system tailored for eCommerce—think of it as Datadog for retail.
Our work involves processing and refining complex Shopify, advertising, and retention data, making it reliable and actionable for teams.
We are seeking engineers who desire real ownership and impact.
Your Role
In this role, you will be engaged with core systems including data pipelines, semantic layers, AI evaluation, and experimentation tools that are vital for thousands of merchants daily.
This is not a conventional ticket-taking position. You will:
Take ownership of challenges from design through to production
Solve complex infrastructure issues (handling petabytes of data, near real-time processing, and high reliability)

