Staff Engineer

Axle is building the first universal API for insurance, unlocking access to a core financial data primitive that impacts almost every industry and transaction. Our mission is to completely transform the communication layer for insurance.

As a Staff Engineer, you’ll be directly involved in guiding our core platform that pairs complex data structuring (using LLM inference) with durable data acquisition pipelines (using agentic workflows). The work you do will impact every customer we work with, across foundational use casees such as asset lending and business contracting.

We’re looking for individuals who think creatively about problems, push for real-world customer impact (not only theory), keep up to date on the latest in AI research, and are excited about helping financial data reach full connectivity.

Our team is based in-person in New York City (Flatiron/NoMad).

Why you should consider joining

• We have a product loved by customers and being used in mission-critical flows at Fortune 500 banks and leading brands like Hertz, Avis, and Audi.
• We're punching well above our weight, supporting customer and revenue metrics with half the team size of other startups — everyone joining at this stage will have outsized impact.
• We're tackling unsolved problems at the intersection of complex data structuring, agentic workflows, and financial risk analysis.
• We've grown revenue 5x this year to multiple $millions ARR, with our growth continuing to accelerate.
• We're backed by world class investors, including Google (Gradient Ventures), YC, and leaders from Plaid and Cox Automotive.
• We care deeply about our team and provide great compensation and equity, full benefits & 401k, 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.

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 get better over time

Role

• Build, and maintain, durable, scalable systems capable of processing millions of complex transactions per month.
• Define the interfaces (API-driven) to enable turn-key usage of our data platform across varied applications.
• Design novel AI-led techniques for increasing the accuracy and reliability of our data integrations.
• Have complete ownership over the work you do — as an early team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.
• Work directly with the CTO and other founding members to help build out our team.

What would set you up for success

• 6+ years of experience (or equivalent) building complex systems in high-scale environments.
• A perspective when approaching common system patterns (e.g., state machines, event brokers, etc.) as well as API design and maintenance.
• A desire to define ways to increase observability, simplicity, and velocity across our engineering processes.
• Experience deploying AI/ML systems into production environments.
• Ability to take abstract projects end-to-end, operating with high agency.
• You've been at high-growth startups and know what "high velocity” looks like.
• Experience in fintech or data aggregation is a plus.

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.