--- title: 'Technical Founders Associate - Software Engineer (Data & AI) at Polar Analytics' canonical: 'https://feeny.ai/job/technical-founders-associate-software-engineer-data-ai-polar-analytics-remote-b896rbtkbh96' type: 'job' last_seen: '2026-09-07' --- # Technical Founders Associate - Software Engineer (Data & AI) at Polar Analytics - **Company:** Polar Analytics - **Location:** Remote - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-01-28 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/polaranalytics/438bcd99-5ed2-4c57-ac5d-238850ece7c3 ## 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? ## About Polar Analytics ## Company Overview - **One-liner**: Polar Analytics provides an all-in-one data analytics and AI agent platform for Shopify and e-commerce brands to centralize, analyze, and activate their marketing and operational data. - **Entity Type**: Private (Series A; latest round Nov 2024) - **Headquarters**: Paris, France - **Founded**: 2020 - **Founders**: David Dokes (CEO) and Charbel Seif (CTO) ## Core Business - Primary industry: Data analytics and business intelligence for e-commerce - Target customers: B2B; Shopify brands, direct-to-consumer (DTC) merchants, and agencies - Mission / purpose: “We believe indie brands are the future of commerce, and we want to help them take over traditional retailers. It starts with Data.” [wellfound.com](https://wellfound.com/company/polaranalytics) ## Products & Services - **Polar Data Platform**: A unified, warehouse-native analytics stack that includes 1-click connectors (Shopify, Meta, Google, Klaviyo, etc.), a dedicated Snowflake data warehouse, and a semantic layer with hundreds of pre-built metrics and dimensions. - **AI Agents** – Four specialized agents: - **Media Buyer Agent**: Automates ad spend optimization to hit ROAS targets. - **Data Analyst Agent**: Natural-language query interface for instant business answers. - **Email Marketer Agent**: Increases revenue per subscriber using AI-driven flows. - **Inventory Planner Agent**: Prevents stockouts and protects margins. - **Polar MCP**: Enables AI assistants (e.g., Claude) to access real-time commerce data. - **Data Activations**: Features such as Advertising Signals (first-party conversion events for Meta/Google Ads), Klaviyo Audiences, and incrementality testing to measure true marketing lift. - **Business Intelligence**: Customizable dashboards, alerts, and reporting for business decisions. ## Market Standing - **Valuation/Funding**: Total funding of ~$30.3M–$30.6M across three rounds. The most recent Series A ($19.1M) closed in November 2024, led by **Chalfen Ventures**, with participation from existing investor **Point Nine** and others. [tracxn.com](https://tracxn.com/d/companies/polaranalytics/__YeLZOWqem7X2b0TPddEotX2H0LgM6-GMMFaFTJ6m4z4) - **Revenue**: Not publicly disclosed. Third-party estimates suggest ~$546K in annual revenue, but this figure is labeled as approximate and may not reflect actual performance. [linkedin.com](https://www.linkedin.com/company/polaranalytics) - **Key Metric**: Trusted by over 2,700 Shopify brands including Razor Group, Volcom, The Frankie Shop, and Lemaire. [polaranalytics.com](https://www.polaranalytics.com/) - **Notable Investors/Partners**: Chalfen Ventures, Point Nine, Frst (Seed lead), Kima Ventures. - **Growth Signals**: Despite a year-over-year headcount decline (-39.7% to ~36 employees), the company has **5 active job postings** (as of mid-2026), with a **+66.7% increase in job postings year-over year**. Roles span sales, customer success, engineering (Data & AI), and partnerships. [linkedin.com](https://www.linkedin.com/company/polaranalytics) ## Competitive Advantages - **First-party pixel & cross-device tracking**: Captures events that default Shopify analytics miss, improving ad attribution and EMQ scores. - **Semantic layer with pre-built metrics**: Lets business users access metrics like true CAC, MER, and LTV without SQL or engineering support. - **AI agents tailored for e-commerce**: Each agent automates a specific vertical role (media buying, data analysis, email, inventory), differentiating from generic BI tools. - **Warehouse-native architecture**: Each customer gets a dedicated Snowflake instance, enabling deep customization and integration with existing data stacks. ## Strategic Focus - Expanding its suite of AI agents to automate more e-commerce workflows and reduce manual analysis. - Deepening data activation capabilities (e.g., cross-channel ad signal sending, audience syncs) to provide measurable ROI. - Scaling enterprise accounts in North America (recent VP of Revenue hire, enterprise account executive openings) and strengthening partnerships with platforms like Klaviyo and Google Ads. ## Why Work Here - **Culture**: Described as an early-stage, founder-led company with a mission to empower indie brands. The team is small (~36 people) with a heavy technical and sales focus. - **Work Model**: Headquarters in Paris, France, with a significant US presence (12 employees in the US). Remote/hybrid details are not explicit, but the distributed team (employees in 7 countries) suggests flexibility. - **Notable for job seekers**: Active hiring for a **Software Engineer (Data & AI)** role, indicating investment in the core AI agent platform. Past hires include alumni from Klaviyo, Airbnb, Datadog, and Calendly. - **Potential caution**: Headcount has declined sharply over the past year. However, job postings have increased recently, possibly signaling a pivot or renewed growth phase. ## Sources 1. [polaranalytics.com](https://www.polaranalytics.com/) 2. [linkedin.com](https://www.linkedin.com/company/polaranalytics) 3. [wellfound.com](https://wellfound.com/company/polaranalytics) 4. [tracxn.com](https://tracxn.com/d/companies/polaranalytics/__YeLZOWqem7X2b0TPddEotX2H0LgM6-GMMFaFTJ6m4z4) ## Other roles at Polar Analytics - [B2B Social Content Creator](https://feeny.ai/job/b2b-social-content-creator-polar-analytics-new-york-6w44vvgjwvcn) — New York, NY - [Strategic Partnership Manager](https://feeny.ai/job/strategic-partnership-manager-polar-analytics-united-states-fhkvee3cvm25) — United States - [Enterprise Account Executive](https://feeny.ai/job/enterprise-account-executive-polar-analytics-united-states-sj72xj1txx62) — United States - [CSM (North America)](https://feeny.ai/job/csm-north-america-polar-analytics-united-states-21k1dq1rpxe4) — United States