Technical Founders Associate

Who you are

• Hungry and business-oriented. You care about the customer's P&L, not just whether the code is elegant. You can hold a conversation with a CMO about paid media efficiency and then go write the pipeline
• Very organized. You run your own week. Nothing dropped, nothing forgotten, no one chasing you for status
• Sharp. You get to the actual problem fast, and you're comfortable saying "this is the wrong thing to build" to someone senior
• You get things done and you give a shit. That's the whole bar. Everything else is learnable
• Strong CS/engineering fundamentals — Javascript and SQL at minimum. Real experience with LLMs/agents is a big plus; obsessive curiosity about them is mandatory
• You use AI (Claude Code, Cursor, etc) heavily, or you'll be up to speed in a week
• Excellent written and spoken English. French is a bonus, not a requirement
• Who this is not for: people who want a well-defined backlog, clear scope, and no customer contact. "Not my scope" doesn't exist in this role
• If you’re looking for more impact and responsibility than your current role offers, apply below :)

What the job involves

• 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
• Deploy AI agents with customers, end to end. Scope the workflow, build it, get it into production, measure whether it actually removed cost or created revenue
• Talk to customers directly. Weekly calls, Slack channels, on-site when it matters. You'll own relationships, not just tickets
• Build on core systems. Data pipelines, semantic layer, RAG, evaluation harnesses, experimentation. Petabyte scale, near real-time, high reliability
• Turn one deployment into a product. Every custom agent you build should make the next ten easier. You'll decide what gets promoted from bespoke to platform
• Work directly with the CTO on whatever is most important that week — pre-sales technical calls, architecture decisions, a broken pipeline at 9pm, a pricing model for a new agent

The application process

• We believe the best people want to go through a demanding process. We've learned the hard way that great interviewers aren't always great operators - so our process is designed to see how you think, not how you present
• 1. Motivation screen - A quick call to understand what drives you and whether there's mutual fit
• 2. Live case study - A real scenario where you work through a problem in real time. No prep decks, no take-homes. We want to see how you actually operate
• 3. Leadership conversations - Meet the team, understand the culture, make sure this is somewhere you want to build
• Our hiring bar: if this person started a company, would we want to join them?

Benefits

• Work Where You Thrive: We believe in Choice First working—your results matter more than your location. Work from anywhere, in a way that fits your life
• Trust, Transparency & Ownership: Our culture is built on empowerment—we give you the context and trust to take full ownership of your work. No micromanagement. Just impact
• Make a Real Difference: At Polar, your work fuels the success of thousands of eCommerce brands. You’ll build, experiment, and scale with a team that’s redefining data for the next generation of retail