11 часов назад
Engineering Manager, AI Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, AI Engineering (Applied AI/ML): Leading an engineering team building and operating applied AI/ML systems with an accent on technical execution, people development, and distributed collaboration. Focus on evaluating AI-assisted development practices, guiding complex technical trade-offs, and scaling maintainable systems across Canadian and Swedish time zones.
Location: Hybrid in Waterloo, Toronto, or Ottawa, Ontario, Canada
Company
develops technology for customers serving and protecting people, with a focus on responsible innovation and continuous learning.
What you will do
- Drive operational excellence and build frameworks for efficient, high-quality engineering delivery.
- Guide technical execution, assess risks and trade-offs, and partner with Tech Leads on complex initiatives.
- Coach engineers through ambiguous projects, technical decisions, ownership, and career growth.
- Foster experimentation and use data to evaluate ideas and improve engineering practices.
- Align roadmap goals with team capacity across Product, UX, and engineering leadership.
- Develop collaboration practices for a distributed team working across Canadian and Swedish time zones.
Requirements
- 3+ years managing or leading engineering teams, with experience building healthy teams, delivering results, and coaching engineers.
- Hands-on experience building applied AI/ML systems and evaluating technical decisions.
- Experience coaching Senior and Staff-level engineers with clear, actionable feedback.
- Strong technical judgment and ability to guide adaptable, maintainable solutions through complex trade-offs.
- Clear communication with engineering, Product, UX, and leadership stakeholders.
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience.
Nice to have
- Experience in high-stakes domains such as security, healthcare, or legal technology.
- Experience deploying AI/ML systems on-premises, at the edge, or in air-gapped environments.
- Experience building and operating scalable distributed systems.
- Familiarity with MLOps tooling, including experiment tracking, model versioning, and CI/CD for ML.
Culture & Benefits
- Values include care, accountability, dedication, and continuous evolution.
- Focus on continuous learning and professional development.
- Commitment to a diverse, inclusive, and accessible workplace.
- Distributed collaboration across Canada and Sweden, with time zone coverage used as an advantage.
- Employment is contingent on satisfactory completion of a background check.
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