Engineering manager leading teams and AI adoption at Jobber, whose software helps small home-service businesses quote, schedule, invoice, and collect payments.
Responsibilities
Lead and support software engineering team members in developing skills and advancing careers
Contribute to empowering small businesses through technology
Shape the technical direction of Jobber’s platform
Ensure the platform remains reliable and high-performing as Jobber scales
Facilitate team performance and help engineers master their crafts
Set goals, conduct regular one-on-ones, provide constructive feedback and coaching
Understand employees’ career direction and mentor and coach them
Participate in recruiting events and the hiring process
Develop the engineering department and implement new processes
Set expectations for daily use of AI agents and coach engineers on AI adoption
Hold AI-assisted work to the same quality bar as other work
Remove roadblocks and build guardrails with other engineering leaders
Collaborate with Product management and Business Technology stakeholders to find solutions for small businesses
Requirements
Established software engineering experience and experience in a leadership position guiding a team in delivering quality software
Strong full-stack technical background, including design and architectural experience
Deep knowledge and experience in either Ruby on Rails environments or ReactJS
Experience delivering impactful projects on time
Ability to lead and teach a team to adapt to change in an agile environment
Daily hands-on experience building with agentic AI tools beyond autocomplete or chat
Experience leading a team’s AI adoption, with evidence of changed outcomes
Effective written and oral communication
Leadership and mentoring experience
Familiarity with ReactJS, TypeScript, Ruby on Rails, PostgreSQL, and GraphQL is highly desired
Familiarity with maintaining reliability within systems outside your own team is highly desired
Experience with high-risk data and high-criticality features, balancing quick delivery with strong reliability, is highly desired
Candidates must be legally entitled to work in Canada
Successful completion of a background check, including identity verification, is required
Benefits
Equity rewards and stock options
Annual health and wellness stipends
Retirement savings matching through RRSP, TFSA or FHSA
Extended health benefits with fully paid premiums for body and mind
Dedicated talent development program
Career coaching
Learning and leadership programs
Onboarding resources, tutorials, hackathons and buddies
Mentor/mentee opportunities
Fully covered pre-approved travel expenses for one in-person interview
Flexible work arrangements, including fully remote work for candidates based anywhere in Canada
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