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
- 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.
- 1+ years of experience (or equivalent) building complex software 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.
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
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.