Senior Engineering Manager, Homebase Assistant (Hybrid)

Homebase•Toronto, ON

3d•CA$188,200 - CA$261,500•Hybrid

About The Position

We're looking for a Senior Engineering Manager to lead the HB Assistant engineering team. You'll own delivery for a core, high-visibility product area, grow and develop a team of engineers, and partner closely with Product, Design, and Data to ship agentic experiences that customers love. This is a hands-on leadership role for someone fluent in modern AI/agentic engineering and excited to build in a rapidly evolving space.

Requirements

8+ years of software engineering experience, including 4+ years managing engineering teams.
Track record leading platform or product engineering teams in a fast-paced SaaS or consumer tech environment.
Strong technical foundation — you can go deep on architecture and design decisions and stay close to the code.
Fluency in modern AI/agentic engineering (LLMs, agents, tool use, evals) and genuine excitement about where the field is going.
Experience designing platforms, developer-facing APIs, or shared services that other teams build on top of. Ability to influence other teams' roadmaps to unlock shared agentic capabilities.
Strong data instincts—you can read funnels, understand cohorts, and know how to instrument features for learning.
AI fluency: You actively use AI tools to accelerate your own work. You coach your team to do the same, and you're opinionated about when AI-powered features genuinely move the needle for users.
Excellent cross-functional communication. You're as comfortable in a product strategy session as a technical design review.

Nice To Haves

Experience building consumer or SMB-facing products.
Background in mobile (push notifications, chat surfaces) and/or data-intensive recommendation systems.
Familiarity with small business or hourly workforce products.

Responsibilities

Lead, coach, and grow a team of software engineers building the HB Assistant platform and product across web and mobile.
Own end-to-end delivery of your area — from technical planning and architecture through shipping, quality, and reliability.
Partner with Product, Design, and Data leadership to set roadmap priorities and turn ambiguous problems into shipped experiences.
Drive engineering excellence: system design, code quality, monitoring/alerting foundations, latency, and data validation for agentic workflows.
Champion AI-native, end-to-end systems thinking across the team and the broader EPDD organization.
Recruit, hire, and develop top engineering talent; set a high bar and a healthy, high-trust team culture.
Balance velocity and rigor in a 0-to-1 environment where priorities evolve quickly.