Axle is building Plaid for Insurance - a universal API for accessing insurance data. We make it easy for companies like Hertz, Avis, and Audi to securely connect to their users' insurance data in seconds.

The multi-trillion dollar insurance industry still relies on phone calls, paper forms, and outdated systems that are slow, error-prone, and easy to fake. That's where Axle comes in. We bridge the gap between insurance and other industries through a universal API for insurance data, enabling our clients to make business decisions in seconds instead of hours while allowing consumers to unlock their most underutilized financial asset - insurance.

We are backed by leading investors including 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.

For more details, check us out at https://axle.insure.

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 structuring and cleaning complex data to using LLMs for automated data extraction, 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.

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

Why you should consider joining

• 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 7-figures ARR, with growth continuing to accelerate
• Backed by world-class investors including Google (Gradient Ventures), Y Combinator, and leaders from Plaid and Cox Automotive
• 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 success

• 1+ years of experience (or equivalent) building complex software systems in production environments.
• Experience with AI/ML applications 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.

Impact

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

Diversity, Equity, and Inclusion at Axle

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.

We're solving hard problems at the intersection of APIs, data pipelines, and AI. Our core stack is TypeScript apps and microservices on AWS + event-driven architecture.