Engineering Team Lead

Stan AI is building the next generation of AI-powered software for property managers. We help property management companies automate operations, streamline tenant communications, and make smarter decisions — all powered by AI. We're a fast-moving team of ~25, backed by strong customer traction, and we're scaling fast.

We believe AI should augment great people, not replace them. That philosophy applies to how we build our product and how we run our company.

We're looking for an Engineering Team Lead to lead a small, high-impact full-stack team within our 11-person and growing engineering organization. You'll report directly to the Director of Engineering and work closely with the product team to ship features that matter.

This is a player-coach role. You'll spend your time writing code alongside your team of 2–3 engineers, leading — running sprints, mentoring, driving architecture decisions, and helping hire the people who will define what this team becomes, and helping to drive the product forward.

You'll have a direct line to engineering leadership and real influence over how we build — including how we adopt and leverage AI in our engineering workflows.

## Tasks

**Technical Leadership**

• Own the technical direction for your squad — architecture decisions, code quality standards, and engineering best practices
• Drive full-stack feature development in Node.js / TypeScript across our web and API layers
• Set the bar for code review — thorough, constructive, and educational
• Identify and address technical debt proactively, balancing velocity with long-term maintainability
• Collaborate with the Director of Engineering on broader platform and architecture decisions

**People Leadership**

• Lead, mentor, and grow a team of 2–3 full-stack engineers
• Run sprint planning, standups, and retrospectives — keep the team focused and unblocked
• Conduct regular 1:1s and provide meaningful feedback that helps your engineers level up
• Participate actively in hiring — sourcing, interviewing, and closing strong engineering talent
• Foster a culture of psychological safety, ownership, and continuous improvement

**Product & Innovation**

• Partner closely with product and design to translate requirements into well-scoped technical work
• Push back on scope when needed — you're a voice for engineering feasibility and quality
• Bring ideas to the table, not just execution — we want leaders who think about the product, not just the ticket queue
• Contribute to roadmap conversations and help identify opportunities for technical innovation

**AI-Driven Engineering**

• Champion AI tooling adoption within your team — Claude Code
• Drive a culture where AI accelerates your team's output: code generation, test writing, documentation, code review
• Stay current on the AI tooling landscape and bring recommendations to engineering leadership
• Collaborate with the broader team on integrating LLM capabilities into the product itself

**Process & Delivery**

• Own your team's delivery — estimates, commitments, and follow-through
• Surface risks early and communicate blockers clearly to engineering leadership
• Help define and refine engineering processes as the team scales
• Contribute to on-call and incident response practices

## Requirements

**Must Have:**

• 5+ years of software engineering experience, with at least 1–2 years in a tech lead or senior lead capacity
• Strong full-stack engineering skills — Node.js and TypeScript on both frontend and backend
• Experience leading or mentoring engineers, even informally
• Track record of owning features end to end — from architecture through to production
• Strong communicator — you can explain technical decisions to both engineers and non-engineers
• Comfortable in a fast-moving startup environment where priorities can shift

**Nice to Have:**

• Experience building AI-powered features or integrating LLMs into production applications
• Hands-on experience with AI developer tools (Claude Code, Copilot, Cursor, or similar)
• Experience with property management, real estate, or adjacent B2B SaaS
• Familiarity with modern cloud infrastructure (AWS preferred)
• Experience participating in hiring — interviews, take-homes, calibration

## Benefits

• Competitive salary
• Comprehensive health, dental, and specialist benefits.
• Company Macbook.
• Free parking and shuttle service to the office.
• Extra PTO during occasional US holidays.
• Company events, in-office restaurant, and building-wide perks.
• Unlimited ping pong and espresso!

If you're passionate about AI and ready to disrupt a massive industry, we want to talk to you!