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
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.
Company events, in‑office restaurant, and building‑wide perks.
Unlimited ping pong and espresso!

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📌 Engineering Team Lead (Ontario)
🏢 Worky
📍 Ontario