Staff Software Engineer, Data Platform

Built is an AI-powered platform transforming the way real estate is financed, developed, and managed. They are seeking a Staff Software Engineer to lead the development of customer-facing data product experiences, working across various technologies to enhance the data platform.

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

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
• Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products
• Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes
• Experience with AI or agentic product experiences
• Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies
• Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter
• Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration
• Experience mentoring engineers from adjacent disciplines into stronger software engineering practices