Nashville, TN
AI-powered real estate and construction finance platform
Built provides an AI-powered platform for real estate and construction finance, connecting lenders, owners, developers, and contractors. It automates loan administration, draw management, payments, inspections, and compliance workflows. The platform manages billions in construction activity, reducing risk, accelerating capital flow, and providing actionable insights.
Build backend platform primitives, customer-tested marketplace products, and AI-integrated workflows for construction and real estate finance. The role requires 4–7 years of software engineering experience, distributed-systems fundamentals, MVP delivery experience, and familiarity with LLM or document-extraction tooling.
Builds durable marketplace systems and rapidly validates customer-facing products, including AI-powered workflows for unstructured documents. The role requires 7+ years of software engineering experience, strong distributed-systems fundamentals, and hands-on experience shipping full-stack products with LLMs and document-extraction tools.
Leads and grows a data engineering organization responsible for scalable ingestion, modeling, governance, reliability, and self-serve analytics. The role requires engineering management experience, hands-on data platform expertise, and the ability to guide architecture, delivery, and cross-functional outcomes.
The Product Designer II independently designs complex SaaS workflows for construction finance, leading research, interaction design, prototyping, and delivery in collaboration with product and engineering. The role requires 2–4+ years of product or UX design experience and strong Figma and research skills.
HR Business Partner owning a company-wide book of business at an AI-native real estate platform. Responsibilities include employee relations, manager coaching, people programs, and leveraging AI tools to enhance HR practices. Requires 4-7 years HR experience with 2-3 years in HRBP role, ER expertise, employment law knowledge, and hands-on AI tool experience.
Entry-level full-stack engineer building internal tools, automations, and AI/agentic workflows to accelerate the implementation team at a real estate finance platform. Own outcomes end-to-end in a high-ambiguity, high-impact solo role; ideal for recent CS grads who ship fast and thrive on operational pain points.
Entry-level FP&A Analyst supporting financial reporting, budgeting, forecasting, variance analysis, and ad-hoc modeling for a multi-product SaaS real estate finance platform. Requires 0-2 years experience, bachelor's in finance/accounting, Excel proficiency, and eagerness to learn SaaS metrics.
Enterprise Account Executive selling AI-powered real estate and construction software to owners, developers, and general contractors. Requires 4+ years full-cycle enterprise SaaS sales experience, consultative approach, and Denver-based with up to 50% travel.
Director-level Revenue Operations leader reporting to the CFO, owning strategy, team building, Salesforce/CRM systems, forecasting, compensation design, and annual planning for a scaling SaaS company in real estate finance.
Provide technical support via phone, email, and chat for Built's real estate finance platform. Troubleshoot issues, log tickets, and advocate for customers while meeting performance metrics.
Lead full-stack development of customer-facing data product experiences on the Data Platform team, building intuitive interfaces and backend services that turn data capabilities into production-grade products.
Enterprise Account Executive selling AI-powered real estate and construction software to owners, developers, and general contractors. Requires 4+ years of full-cycle enterprise software sales experience, a consultative approach, and frequent travel from the Dallas area.
Sells AI-driven workflow automation, compliance, and risk-management solutions to enterprise lenders through full-cycle consultative sales. Requires 5+ years enterprise sales experience in finance, strong lending knowledge, and ROI analysis skills.