Senior Software Engineer, Product

Old Well Labs•Charlotte, NC

1d•Hybrid

About The Position

Old Well Labs is a Charlotte-based financial intelligence startup used by leading allocators and the fund managers they invest with. Our platform turns billions of disclosures into structured data on 20,000+ funds, 1.4M people, and 10,000+ LPs — helping customers discover managers, monitor their moves, and connect with the right partners. We're hiring a Senior Full Stack Engineer to build product features end to end as we evolve OWL from a data intelligence layer into a network platform, one that sits on top of the industry's best dataset and connects the top allocators and hedge funds in the world. Each new customer makes the network more valuable to the next, and your work will directly shape that flywheel. You'll work across our React frontend and backend services, owning features from idea through production. That means understanding the user problem, designing the solution, building it, and iterating based on feedback. We're also big proponents of using AI to do our best work. If you have an idea for a new tool or workflow, we'll move quickly to get it on the roadmap. Using AI well across the development lifecycle is something we're continuing to get better at, and we value everyone's contribution to that effort.

Requirements

5–8+ years of experience building production software
Strong backend experience in Python (and/or Node.js)
Strong frontend experience in React + TypeScript
Experience building APIs (REST and/or GraphQL)
Solid understanding of relational databases (Postgres) and data modeling
Experience working in fast-moving or early-stage environments with evolving systems and priorities
Ability to take ownership and deliver without heavy direction
Candidates must be authorized to work in the United States without sponsorship now or in the future.

Responsibilities

Design and ship the tooling that turns OWL from a data platform into a network: the search, connection, and collaboration surfaces that let allocators and managers find and engage with each other.
Take problems from ambiguous requirements through design, implementation, and production across the stack.
Work on evolving systems with shifting priorities while maintaining a high bar for quality
Build features on top of large, structured datasets while improving performance and reliability as the product grows