Our client, a seed stage startup, is building the infrastructure layer for automotive leasing. Their platform connects dealers and lenders so lease programs are easier to launch, distribute, and originate across new and used vehicles. Working directly with automotive retailers and financial institutions to bring new financing options to the point of sale.
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They are growing quickly, and they are hiring engineers to help build the platform that powers it.
What you'll work on
The quoting core. Turn our pricing engine into the foundation every lease and finance decision on the platform runs through, across new and used vehicles, many lenders, and every state. It has to be fast, auditable, and right to the penny.
Lifecycle intelligence. Help our partners see the opportunities across the life of every deal, and know when to act.
A partner network. Grow a handful of integrations into a reliable, easy-to-extend network of dealer systems, lenders, and data providers.
Data and modeling. Build models that generate strategic asset insights, price risk, and turn the data flowing through the platform into a real advantage for our partners.
AI-native workflows. Use LLMs and agents to automate the manual work that slows automotive finance down, and build the tools that let AI work safely with our systems and data.
A platform that scales. Multi-tenant infrastructure, security, and monitoring built for financial data.
What we are looking for
- 3+ years building and running production software, with solid experience in Python and in TypeScript/React.
- Strong SQL and relational modeling. You're comfortable writing migrations against a live production database and thinking through how to roll them back.
- Experience integrating with outside APIs and data feeds that are messy, rate-limited, or poorly documented.
- Precision with numbers. You write tests for financial logic, check edge cases by hand, and treat rounding and units as real bugs.
- Comfort owning work from end to end: database, API, UI, deploy, and checking that it actually works in production.
- Clear written communication. You'll often be explaining why a number came out the way it did, to engineers and to people who aren't engineers.
- A strong ownership mentality. You care whether a feature actually works for dealers in production, not only whether the PR merged.
Nice to have
- Experience in automotive retail, auto finance or leasing, or with dealer systems.
- Experience with quantitative modeling, such as pricing, forecasting, or risk models for financial assets.
- Experience with Azure, especially Container Apps and Postgres Flexible Server.
- Experience building with LLMs in production or in your own workflow.
- Experience building AI-powered tools or developing MCP (Model Context Protocol) servers that connect AI agents to internal systems and data.
- Time at an early-stage startup, where you set your own priorities and shipped with little process around you.
This role sits onsite 5 days per week. xhqgsiq Base salary in the $140k-$180k range + equity.
Founding Engineer in new york at Unknown Company
This position is listed as full time and onsite.