Software Engineer

Team: Engineering

Location: New York, NY, Bay Harbor Islands, FL

Commitment: Salaried, full-time

Workplace Type: onsite

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