Staff Software Engineer, Data Platform
Built is a construction and real estate finance technology company providing an AI-powered platform that connects banks, private credit lenders, owners, developers, and general contractors to manage draws, budgets, payments, and portfolio risk. Their platform serves lenders and construction/real estate professionals to speed up funding, reduce paperwork, and improve visibility across the project lifecycle.
About Built
Built provides an AI-powered software platform for real estate and construction finance, enabling banks, private credit firms, owners, developers, and general contractors to fund, develop, build, and manage projects on a single system. The platform offers draw and budget management, portfolio risk mitigation, draw inspections, underwriting, accounts payable automation, digital payments, and reporting/analytics, along with integrations to existing systems and a marketplace for goods and services. Built serves lenders (banks, private credit) and construction industry participants (owners, developers, general contractors), with claims of managing over $300B in capital, supporting 78,000+ owners and contractors, and working with 340+ lenders. Customers cited on the site include Waltz Construction, TowneBank, and Stock Yards Bank, highlighting faster draw funding, reduced admin work, and improved compliance tracking.
Skills
About the Role
You will lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. You will build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. You will partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives. You will turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. You will bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns. You will help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness. You will collaborate across teams where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. You will use customer signals, usage data, product feedback, support issues, and discovery learnings to guide your engineering decisions.
Requirements
- Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production
- Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value
- Full-stack web application experience, with backend-leaning product engineering depth
- Strong experience with TypeScript, Node.js, React, and modern web application architecture
- Experience with Python or demonstrated ability to work effectively in Python-based systems
- Experience designing APIs, service boundaries, reusable application patterns, and production backend systems
- Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership
- Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis
- Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension
- Bias toward customer value over technology for technology's sake
Responsibilities
- Lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns
- Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies
- Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives
- Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences
- Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns
- Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness
- Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows
- Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions
Benefits
- Equity in the form of stock options
- Medical, dental and vision insurance
- Unlimited PTO policy (US only)
- Learning Grant program to support ongoing professional development
- 401k with match and expedited vesting (US only)
