Lead Engineer, Pricing & Decision Systems

Lead Engineer

One Park Financial (OPF) is a leading Financial Technology company dedicated to empowering small businesses by connecting them with flexible financing and funding options. Our mission is to provide entrepreneurs with the working capital they need to elevate their businesses. At OPF, we believe in working with high-performing individuals who are ready to play an integral part in our company's expansion — because our success hinges on our people.

We foster a dynamic and inclusive company culture that emphasizes collaboration, innovation, and personal growth. Our team is composed of passionate, driven individuals who are committed to making a difference. Here's what you can expect when you join our team:

• Innovative Environment:
  Work with cutting-edge technology and be part of a team that is constantly pushing the boundaries of fintech.
• Professional Growth:
  We invest in our employees' growth with continuous learning opportunities, training programs, and career advancement paths.
• Supportive Culture:
  Enjoy a supportive and inclusive work environment where your ideas are valued, and your contributions make a real impact.
• Community Focus:
  Be part of a company that understands the importance of small and mid-sized businesses to their communities and the nation's financial health.
• High-Performing Team:
  Join a team of badasses who are committed to excellence and are integral to our company's expansion and success.

We are looking for a Lead Engineer to own and evolve the Python pricing engine that prices every new business and renewal offer we make. This system decides the terms we put in front of small businesses in real time, so when it prices correctly we grow profitably, and when it prices wrong, even by a single reference file, it costs us real money  will be the primary developer and technical steward of the engine: building new capabilities, keeping it reliable, and making sure every change is correct before it ships.

You will lead one or more engineers who support the system, setting the technical direction and review standards they work to.

This is a hands-on lead role, not a hands-off manager role. You will still be in the code every week, and you will also be the person who breaks down the work, reviews the risky changes, and keeps the team shipping accurately and on time. You will coordinate across Product, Dev Ops, Data Engineering, Data Science, and QA to take pricing changes from a specification to production with confidence.

The pricing engine is where you start, not where you stop. This is the first dedicated engineering hire on our analytics team, and the person in it becomes the technical foundation for how we build analytics products going forward. Once you have the engine running reliably, the role grows into integrating our machine-learning models into production, building the internal analytics applications and data products other teams rely on, and owning the data plumbing and quality checks those applications depend on.

We are looking for someone who wants to build that platform with us, not only maintain one system.

We are an AI-forward company, and we expect our engineers to work that way. We want someone who leans on modern AI and LLM tooling to build, test, and ship faster and sharper, not someone who does things the slow, manual way.

We want to work with high-performing people who will play an integral part in transforming the company. We understand one thing: it all comes down to working with creative and committed people and enabling them to do what they do best.

Serve as the primary technical owner of our Python-based pricing and decision engine, deployed on AWS (FastAPI, ECS/Fargate, DynamoDB, Lambda, SQS, Secrets Manager, Cloud Watch).

Implement and integrate new scoring models into the pricing flow, working from Data Science specifications, and maintain the offer grids, modifiers, and rules that set terms, rates, origination fees, and offer sizing.

Own the pricing logic end to end, from scoring through offer construction, and ensure the business logic is correct before it ships. Treat a mispriced offer as the serious incident it is.

Lead and mentor the engineers…