Software Engineer (Data & AI)

Our team brings experience from leading eCommerce SaaS platforms & Silicon Valley data unicorns, united by a mission to build the next industry leader.

Who we are

We're building the data & AI operating system for eCommerce, think Datadog for retail.

We ingest messy Shopify, ads, and retention data, make it reliable, and turn it into decisions teams can actually trust.

We're hiring engineers who want real ownership.

What you will do

You'll work on core systems: data pipelines, semantic layers, RAG, AI evaluation, experimentation,and products used daily by thousands of merchants.

This isn't a ticket-taking role. You'll:

• Own problems end-to-end (design production)
• Tackle hard infra challenges (petabytes, near real-time, high reliability)
• Talk directly to users to understand failure modes + edge cases
• Ship fast prototypes, then harden them into real systems
• Help shape what we build next as we scale

Do you have experience in Shopify?

Polar is revolutionizing the Shopify analytics space with modern data infrastructure built for agentic orchestration-positioning us at the forefront of AI-driven commerce automation. Backed by World-Class Investors We've raised $28.5M with Frst, Point9, and Chalfen Ventures, top-tier B2B SaaS investor known for spotting future unicorns early., We believe in a structured, fair, and transparent hiring process. While the steps may vary by role, here's what you can expect: 1. Recruiter Screen (20 mins): A call to talk through your current/past experience and your motivations and tell you more about Polar Analytics. 2. Role Fit Interview (30 mins): Here, you'll meet either the Hiring Manager or a team member of a similar level to discuss your ways of working and understand your skillset and ability for the role. 3. Competency Deep Dive (1 hour): This interview usually consists of a practical element (case study, Presentation, Technical Problem Solving etc) designed to give you a broader understanding of how we drive impact at Polar. This will be with the hiring manager and one other team member. 4. Culture Interview (30 mins): A conversation with one of our Culture Champions. We assess your team fit based on our values (see below). We value your time and effort in the application process, and we aim to provide feedback as quickly as possible.