We are looking for talented engineers to join our team as early members.
As a Product Engineer, you’ll help build the platform that makes this possible. From applying safe inference to complex financial data to using agents for mission-critical decisioning, you’ll have the chance to wear a lot of hats and shape the future of our platform.
We’re looking for individuals who think creatively about problems, push for real-world customer impact, and are excited about helping financial data reach full connectivity. We're powering mission-critical insurance data extraction, validation, and verification at companies where if we get things wrong, there are real world impacts (e.g., denied lending applications, modified compliance statuses, etc.).
Here's a few of the complex problems you’ll be working on:
Building industry-first evals for insurance data extractors and transformers
Integrating context and understanding to standardize high-variability data points
Understanding data management and hierarchy across overlapping data ingestors
Orchestrating self-healing agents that automatically gets better over time
Trusted by leading Fortune 500 banks and top brands like Hertz, Avis, and Audi, with more joining every month
Grown revenue 5x this year to multiple $millions ARR, with growth continuing to accelerate
Join a tight-knit team where everyone drives real impact we have top-tier customer and revenue metrics with half the team size of typical startups
Work on challenging, unsolved problems at the intersection of complex data structuring, agentic workflows, and financial risk analysis
We care deeply about our team and provide great compensation and equity, full benefits, unlimited time-off, and plan an annual team offsite!
We're a lean team, and our customer base is growing too fast for us to keep up. We're looking for talented engineers to join our early team ahead of our next round and execute on an ambitious roadmap.
What would set you up for success1+ years of experience (or equivalent) building complex systems in production environments.
Ability to take abstract projects end-to-end, operating with high agency.
Experience in fintech or data aggregation high-growth startups is a plus.
Axle is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.
Axle is the AI-native clearinghouse for property and casualty insurance. Our infrastructure and AI agents automate complex insurance workflows for third parties including verification, monitoring, and policy updates. Read more about our vision: https://www.axle.insure/blog/announcing-our-17-5m-series-a-led-by-base10
We are backed by leading investors including Base10, Y Combinator, and Gradient Ventures (Google's AI fund) and angels from companies like Plaid and Cox Automotive.
Our team is in-person 4 days a week in our Flatiron/NoMad office in NYC and our West Midtown office in Atlanta.
Skills Required
- 1+ years of experience (or equivalent) building complex systems in production environments.
- Ability to take abstract projects end-to-end and operate with high agency.
- Willingness to work in-person 4 days per week in the NYC (Flatiron/NoMad) or Atlanta (West Midtown) office.
- Experience in fintech or data-aggregation high-growth startups.
What We Do
Axle is an AI-native insurance technology company that serves as a clearinghouse for property and casualty insurance. Its platform provides access to real-time insurance data and automates insurance verification and monitoring, helping lenders, rental-car businesses, and other platforms validate policies, improve operational efficiency, reduce unrecovered losses, and strengthen compliance. Axle offers integrations for platforms and tailored verification solutions for enterprise systems.
