Technical Founders Associate - Software Engineer (Data & AI) at Polar Analytics

Job description

WHO WE ARE Polar is the complete data platform for omnichannel commerce. We connect every data source a brand runs on - Shopify, Amazon, NetSuite, Meta, Google, Klaviyo - into a single Snowflake warehouse, layer a commerce semantic layer on top, then add AI so operators can ask questions, get answers, and automate workflows without writing SQL. Our founders came from Turo and Airbnb in Silicon Valley. They built data platforms at scale and wanted to bring that level of sophistication to fast-growing commerce brands. We support 4,000+ merchants, and zero direct competition with a better solution. We serve brands like Quadlock, gorjana, Joseph Joseph, and ARMRA Colostrum. We shipped MCP integrations with Claude and ChatGPT, AI automations, and an AI Data Engineer that builds connectors on demand. Our positioning: the data layer to build agent workflows for commerce. Customers tell us things like "this is a dream come true - it feels like the first time they showed me Shopify". HOW WE OPERATE We publish our operating principles internally and we mean every word. Here are the ones that matter most if you're thinking about joining: Customer Obsession. Every decision starts with: does this make our users' lives better? If the answer isn't clear, go talk to a customer before you build anything. Own the Number. Every metric has an owner. If it's yours, know it cold - the trend, the why, the plan. Don't wait for someone to ask. If it's off track, you should be the first to say so. Raise the Pace. Always ask: what would it take to do this in half the time? Speed is our edge. We try 100 things while the competitor tries one. Don't Fail Silently. If it's broken, say it. If you're stuck, raise your hand. Hiding problems is the one thing that will actually get you in trouble. Here to Win, Not to Be Right. Quiet ego, loud standards. Don't fight to be right - fight to win together. Be ruthless on quality, never rude about it. Optimize for Polar, Not Your Function. "Not my scope" doesn't exist here. If it makes us win, it's your scope. We're a remote-first team that runs daily standups, ships weekly, and holds ourselves to a standard most companies talk about but don't enforce. We're transitioning from founder-led intensity to systematic company intensity - which means we need people who can maintain the pace autonomously, not just when someone's watching. 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 1. 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. 2. Talk to customers directly. Weekly calls, Slack channels, on-site when it matters. You'll own relationships, not just tickets. 3. Build on core systems. Data pipelines, semantic layer, RAG, evaluation harnesses, experimentation. Petabyte scale, near real-time, high reliability. 4. 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. 5. 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. 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 :) HOW WE HIRE 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?

Requirements

Must-haves

We publish our operating principles internally and we mean every word. Here are the ones that matter most if you're thinking about joining:
Customer Obsession. Every decision starts with: does this make our users' lives better? If the answer isn't clear, go talk to a customer before you build anything.
Own the Number. Every metric has an owner. If it's yours, know it cold - the trend, the why, the plan. Don't wait for someone to ask. If it's off track, you should be the first to say so.
Raise the Pace. Always ask: what would it take to do this in half the time? Speed is our edge. We try 100 things while the competitor tries one.
Don't Fail Silently. If it's broken, say it. If you're stuck, raise your hand. Hiding problems is the one thing that will actually get you in trouble.
Here to Win, Not to Be Right. Quiet ego, loud standards. Don't fight to be right - fight to win together. Be ruthless on quality, never rude about it.
Optimize for Polar, Not Your Function. "Not my scope" doesn't exist here. If it makes us win, it's your scope.
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.
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.
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 :)
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.
Motivation screen - A quick call to understand what drives you and whether there's mutual fit
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

Nice-to-haves

Excellent written and spoken English. French is a bonus, not a requirement.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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