Software Engineer

Responsibilities

• Design, build, and maintain software, workflow automations, and AI-enabled products that improve the work of our operators and the lives of our neighbors

• 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

• 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

• Lead experimentation efforts to validate new ideas quickly, measure impact, and iterate toward tools that create real business value

• Embed with various business functions to understand their goals, create a plan, and implement solutions that move the company forward

• Own problems end-to-end - from stakeholder discovery and workflow mapping through implementation, rollout, and adoption

• Document system design decisions and explain technical tradeoffs clearly to both technical and non-technical stakeholders

• Use AI coding assistants to accelerate development while maintaining high standards for quality, maintainability, and reliability

Qualifications

• A minimum of three years of software engineering experience building products, platforms, or internal tools that improve business operations or team productivity

• 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

• 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

• 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

• 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

• Experience working closely with business and product stakeholders to solve real workflow problems through software

• Strong hands-on skills (or a desire to learn) shell scripting, Python, Go, TypeScript, and more

• Experience working with a range of data and retrieval patterns, including relational systems, vector databases, and graph databases

• Strong written and verbal communication skills - comfortable writing clear documentation, effective AI prompts, and explaining technical concepts to non-technical stakeholders

• A solid understanding of the principles and challenges of building reliable, scalable, and maintainable software systems

• The ability to balance elegant design with practical tradeoffs while prioritizing continuous delivery of value to the business

• Experience building in fast-moving startup environments

• Strong analytical skills, curiosity, and a bias toward action

• 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