19 Aug
|
STAN AI
|
Toronto
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 robust 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!
If you're passionate about AI and ready to disrupt a massive industry, we want to talk to you!
📌 Engineering Team Lead (Toronto)
🏢 STAN AI
📍 Toronto