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 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 Market-competitive salary

Comprehensive health, dental, and specialist benefits.

Company Macbook.

Free parking and shuttle service to the office.

Company events, in‑office restaurant, and building‑wide perks.

Unlimited ping pong and espresso!

📌 Engineering Team Lead (Toronto)
🏢 STAN AI
📍 Toronto