Why Polar?
It's never been easier to build, ship and scale software.
But it's never been harder to monetize it.
We're obsessed over solving this to empower the future one-developer unicorns.
These unicorns will be rare but inevitable. Whether in 3, 5, or 10+ years, they also symbolize a broader shift already in motion and accelerating:
Smaller & smaller teams with...
Exponential revenue/employee growth
Focusing fully on their core product and marketing. Delegating & automating everything else that's boilerplate – be it in their codebase or business operations.
Exceptional billing primitives, APIs, SDKs and abstractions are a crucial foundation, but not enough. They will need a full-fledged platform to oversee, manage and scale their business.
Turning their software into an international business in 6 lines of code.
Join our small, talented and engineering-led team across Europe to shape how future software businesses are built. We focus on shipping at high velocity to serve developers in unlocking their next stage with their business. Everything else is secondary.
Data Engineering at Polar
This is our first dedicated Data Engineering role. We want to avoid a setup where “data lives in a silo”. Therefore, it is part of our product team and you’ll build systems that the entire company can rely on and contribute to. You’ll obsess over accuracy, latency, and scalability, but you’ll also focus on usability: making sure other engineers and stakeholders can access and trust the data.
Role & responsibilities
We’re hiring a Senior Data Engineer to design, build, and scale the data foundations that power Polar. From revenue recognition to global payouts, our business relies on accurate, reliable, and auditable data — and we want to get it right from the start.
You’ll own our data architecture end-to-end: pipelines, warehouse, models, and governance. You’ll enable product, growth, and finance teams to make fast and confident decisions, while ensuring we maintain the rigor required for handling financial data at scale.
Own the design and evolution of our data stack: pipelines, warehouse, and modeling layer
Build reliable ETL/ELT pipelines for product, billing, and financial data
Define and enforce data quality, governance, and observability practices
Design, ship and optimize Metric APIs for developers using Polar and within their dashboards
Work with Finance to ensure accurate revenue, payouts, and accounting data flows
Partner with Growth and Product to provide analytics that drive activation, retention, and revenue
Build internal data APIs, dashboards, and tools to make data self-serve across the company
Establish standards and mentor engineers on best practices for instrumentation and data usage
What we're looking for
7+ years of experience as a Data Engineer or similar role building and scaling data systems
Comfortable as the first dedicated data hire. Setting technical direction while executing hands-on.
Deep expertise with SQL, Python, and modern data warehouses (Snowflake, BigQuery, Redshift, or Postgres)
Experience with ETL/ELT frameworks (dbt, Airflow, Dagster, or similar)
Strong background in data modeling for both analytics and financial systems
Proven track record of ensuring data accuracy, reliability, and trust in high-stakes environments
Excellent communicator and collaborator. Able to work and coordinate closely with Finance, Product, and Engineering
(Bonus) Experience with payments, billing, or financial data systems
(Bonus) You’ve set up the first data stack at a startup or high-growth company
(Bonus) Contributions to open source data tools or frameworks
How we hire
Our process is fully remote, and all communication happens via email, GitHub issues/PRs and/or video calls:
Application Review → Short intro call with Birk (Founder)
Assignment → Open source PR (Engineering) or case study
Review & interviews (2-3 video calls) to:
Meet future team
Review and discuss the assignment & feedback + technical questions
Meet Birk (Founder)
Reference Calls
Offer 🎉
Top Skills
What We Do
It’s never been easier to build software. From open source having pushed the envelope of developer velocity to AI now accelerating the trend and making software development accessible to more people.
It’s never been easier to ship and scale software. Cloud platforms and modern PaaS solutions like Vercel and Supabase have drastically simplified global software deployment and scaling.
But, it’s never been harder to monetize software. We've moved from one-time purchases to SaaS, and now toward usage-based and agentic payments. Each evolution has enabled new category defining businesses, but also added complexity and billing anxiety for developers and their customers alike.
This is a bottleneck for the future.
We believe the next unicorns will be created by individual developers. As lines blur between indie hackers, startups, and enterprises, we're building Polar to empower solo builders and early-stage startups – the future enterprises, without the headcount. How?
Monetization vs. Billing Platform. Billing is a crucial part of your customer relationship, but only a part of it - it's the outcome vs. input. We aim to bridge the gap between product analytics, CRM, and billing, providing a comprehensive platform for one-developer unicorns to scale their businesses.
Usage-based on Autopilot. Automatic event ingestion for OpenAI, Anthropic, Vercel AI SDK to S3 consumption and more – easily track, credit and bill customers for their usage. We’re going to ship a lot of innovative features in this category to make usage-based and agentic payments a delight for developers and their customers.
Zero Boilerplate. We obsess over reducing the lines of code in your codebase that aren't unique to your business, from automating common SaaS entitlements like license keys and usage-based credits to condensing integrations down to just four lines of code.
Zero Operations. Grow globally without being held back by international sales tax, compliance, fraud, or chargeback protection.
