AI Engineering Director

CONFIDENTIAL Scovai; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

MacBook provided

Free parking

Office perks

Ping pong & espresso

Job summary

STAN is seeking an Engineering Team Lead to guide a small, high-impact full-stack squad in North York, Toronto area. You will code alongside 2–3 engineers, run sprints, mentor, shape architecture, and help hire the people who define the team's direction.

You will influence how we build and how we adopt AI in workflows, partnering with product, design, and leadership to deliver features that matter and push innovation in AI tooling.

Qualifications

• 5+ years of software engineering experience with leadership exposure.
• Strong full-stack skills with Node.js and TypeScript on frontend and backend.
• Experience mentoring engineers and owning features end-to-end.
• Proven ability to communicate technical decisions to diverse audiences.
• Comfortable in a fast-moving startup with shifting priorities.

Responsibilities

• Own the squad's technical direction, architecture, and code quality.
• Drive full-stack feature development across web and API layers.
• Lead sprint planning, standups, and retrospectives.
• Recruiting involvement: sourcing and interviewing candidates.
• Mentor 2-3 engineers and cultivate a culture of psychological safety.

Skills

Full-stack engineering (Node.js & TS)

Team leadership / mentoring

Architectural decisions

Hiring / interviewing

Communication

Tools

Claude Code

Copilot

Job description

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 hybrid 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.

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
• 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

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
• 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!

STAN is the first digital property manager assistant. It uses artificial intelligence to respond to texts and emails for property managers 24/7.

STAN launched in 2019 by two former property management executives who spent more than 20 years in the industry and have worked for North America’s largest management company.