Software Engineer
Summary
Build AI-powered software and workflows for real-estate operations, moving fluidly across backend, frontend, and data to ship tools that improve how teams work and neighbors live.
Responsibilities
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Design, build, and maintain software, workflow automations, and AI-enabled products that improve the work of our operators and the lives of our neighbors
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Partner directly with teams across operations, marketing, leasing, and other business functions to understand day-to-day pain points and turn them into scalable product and engineering solutions
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Move fluidly across the stack — backend, frontend, data, and infrastructure — picking up whatever is needed to ship a complete solution, rather than staying confined to a single layer
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Lead experimentation efforts to validate new ideas quickly, measure impact, and iterate toward tools that create real business value
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Embed with various business functions to understand their goals, create a plan, and implement solutions that move the company forward
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Own problems end-to-end — from stakeholder discovery and workflow mapping through implementation, rollout, and adoption
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Document system design decisions and explain technical tradeoffs clearly to both technical and non-technical stakeholders
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Use AI coding assistants to accelerate development while maintaining high standards for quality, maintainability, and reliability
Qualifications
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A minimum of three years of software engineering experience building products, platforms, or internal tools that improve business operations or team productivity
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Solid backend fundamentals, paired with a genuine desire to be a generalist — comfortable moving into frontend, data, or infrastructure work whenever the problem calls for it
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A track record of learning quickly and expanding into unfamiliar areas; we’re hiring for trajectory and adaptability at least as much as for what you already know
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A builder’s mindset and strong product instincts — someone who sees themselves as a product engineer, wants to understand what neighbors and operators actually need, and treats technology as a means to that end
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Genuine, hands-on AI-nativeness: fluency with tools like Claude Code and Cursor, a clear point of view on when AI speeds you up and when it doesn’t, and the judgment to keep quality high while moving fast
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Experience working closely with business and product stakeholders to solve real workflow problems through software
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Strong hands-on skills (or a desire to learn) shell scripting, Python, Go, TypeScript, and more
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Experience working with a range of data and retrieval patterns, including relational systems, vector databases, and graph databases
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Strong written and verbal communication skills — comfortable writing clear documentation, effective AI prompts, and explaining technical concepts to non-technical stakeholders
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A solid understanding of the principles and challenges of building reliable, scalable, and maintainable software systems
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The ability to balance elegant design with practical tradeoffs while prioritizing continuous delivery of value to the business
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Experience building in fast-moving startup environments
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Strong analytical skills, curiosity, and a bias toward action
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A deep interest in how AI can reshape products, workflows, and the way teams operate, along with a desire to ship tools that create measurable impact in real physical environments
Skills
As published by lever · 2 questions
Basics
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- Are you legally authorized to work in the United States? optional
- Will you now or in the future require sponsorship for employment visa status? optional
Y Combinator
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