5 дней назад
Senior Manager of Software Engineering (AI)
112 583 - 162 125CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager of Software Engineering (AI): Leading North American engineering teams building retirement products and services with an accent on distributed systems, cloud-native development, and agentic engineering. Focus on establishing AI engineering guardrails, coordinating delivery across multiple applications and teams, and maintaining quality, security, compliance, and accessibility.
Location: Toronto, Canada; hybrid work with four days in-office each week in most locations
Total cash compensation: CAD 112,583–162,125 annually, including base salary and bonus target. Incentive target: 20%.
Company
develops financial products and investment-based solutions that help employers and individuals achieve better retirement outcomes.
What you will do
- Lead North American engineering teams supporting retirement products and fiduciary services.
- Hire, coach, and develop technical leads and engineers while building a culture of ownership and continuous learning.
- Set standards for architecture, design reviews, decision-making, ownership, and engineering execution.
- Lead the transition from AI-assisted to agentic engineering by defining context, guardrails, automated checks, and verification practices.
- Drive initiatives spanning multiple applications and engineering teams, managing dependencies, removing blockers, and maintaining delivery momentum.
- Partner with Product Management on roadmaps, priorities, and platform modernization.
Requirements
- 8+ years of software engineering experience, including 5+ years leading engineering teams with direct people management responsibility.
- Strong technical depth in distributed systems, service architecture, API design, data consistency, resiliency, and performance.
- Hands-on proficiency with Java, Spring Boot, REST APIs, AWS, and cloud-native development, with enough JavaScript/TypeScript depth to review full-stack designs.
- Experience delivering complex initiatives across multiple teams and applications, managing dependencies, and resolving technical challenges.
- Experience with AI-assisted engineering, coding agents, AI-assisted reviews, testing, documentation, engineering guardrails, and verification.
- Knowledge of CI/CD, automated testing, observability, SLOs, secure SDLC, cloud-native operations, and a bachelor's degree or equivalent practical experience.
Culture & Benefits
- Hybrid collaboration with regular in-person work and resources for engaging with global colleagues.
- Emphasis on ownership, accountability, continuous improvement, direct communication, and collaborative problem solving.
- Additional benefits are available to support flexibility as needs change.
- Accepted offers require confidential disclosure and compliance review of personal and related investments.
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