Engineering Team Lead

STAN is 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.

This position is based in North York and is currently full-time in-office. This position is ideal for someone who thrives in a collaborative, high-energy environment and enjoys building teams in person.

About Us:

STAN is the largest provider of AI solutions for HOA and Condo Property Managers. We are using cutting-edge and patented artificial intelligence technology to build solutions that enhance life for residents of more than 2.5 million+ homes across North America. And, we are on a mission to build the world’s first AI property manager. Want to come along for the ride?

STAN is also an award-winning platform, having been recognized by Rogers, FedEx, George Brown College, StartUp Canada, the Waterloo Accelerator Centre, and more!

To learn more, feel free to visit us at www.stan(.)ai 🤖

• 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

• 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

• 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

• 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

• 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

• 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

• 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