Engineering Manager (In-person, Toronto, Canada)

About Provision

Provision is automating construction. We help contractors speed up their work, reduce risk, and eliminate errors that cost the industry more than $500B every year. We are building the most ambitious vision of what is possible with AI in construction, and we expect our engineering leaders to be AI-forward in how they lead.

What You Will Do

• Lead engineering execution across projects, teams, and priorities while staying close to the technical details that matter.
• Manage, coach, and unblock engineers through clear direction, high-quality feedback, and a strong operating rhythm.
• Work with product and leadership to shape scope, make tradeoffs, and convert goals into delivery plans.
• Generate forecasting, capacity, and allocation plans across people, priorities, and timelines.
• Set and reinforce a high bar for quality, reliability, security, code review, testing, and production readiness.
• Use AI-native workflows to improve engineering throughput, planning clarity, prototyping speed, and decision quality.
• Partner with machine learning engineers and product teams to build, evaluate, and operate AI-powered product workflows that customers can trust.

What We Are Looking For

• 5+ years of software development experience, or 7+ years of professional experience building software in lieu of a degree.
• 2+ years of experience leading, managing, or formally mentoring software engineers.
• Production full-stack web application experience, with enough technical depth to evaluate architecture, code quality, delivery risk, and tradeoffs.
• Experience operating in modern software development workflows, including version control, CI/CD, code review, incident response, and release discipline.
• Practical proficiency with AI coding assistants, LLM-based development workflows, or AI-native tools.
• Strong judgment: you use AI to raise team throughput without outsourcing technical, management, validation, security, or maintainability decisions.

How We Work

• You create leverage through others while staying credible on technical details.
• You bring structure, de-risk work, and improve schedule predictability without creating unnecessary process.
• You communicate clearly across functions and handle disagreement constructively.
• You move quickly, say no when needed, and change course when new evidence appears.
• You believe proficiency with AI is now part of the craft of effective engineering leadership.

Our interview process is designed to be practical, transparent, and representative of the work you would do at Provision.

1. Introductory call — 20 minutes

A short conversation about Provision, the Engineering Manager role, your experience, and what you are looking for next.

2. Online technical interview — 2 hours

A structured discussion covering your technical background, engineering leadership, system design, delivery planning, and approach to building reliable AI-powered products.

3. In-office interview day

Visit our Toronto office, meet the team, learn how we work, and get a feel for the environment. The day includes a collaborative whiteboarding session based on a realistic engineering and product scenario.

4. References and offer

We will complete focused reference conversations, answer any remaining questions, and move quickly to a final decision and offer.

We will explain the format and expectations before every stage and aim to communicate next steps promptly.