At a Glance
- Tasks: Lead and scale a dynamic Data & AI Engineering team in fintech.
- Company: Join an innovative fintech company focused on community knowledge and AI solutions.
- Benefits: Remote work, competitive salary, and opportunities for career growth.
- Other info: Fast-paced environment with a people-first leadership approach.
- Why this job: Shape the future of data architecture and AI technologies while making a real impact.
- Qualifications: 8+ years in software engineering with leadership experience in data/AI teams.
The predicted salary is between 123750 - 151250 $ per year.
Our client in the fintech space is seeking a fulltime/permanent Engineering Manager to lead and scale the Data & AI Engineering team.
Location: remote
Responsibilities:
- Manage and develop a team of data and AI engineers, fostering technical excellence, career growth, and a collaborative culture.
- Establish clear goals and success metrics, track execution, and partner with stakeholders to align on priorities and deliverables.
- Own the long-term technical vision for data architecture, scalable pipelines, AI/ML model deployment, and related frameworks.
- Balance new feature development with architectural quality and technical debt management to enable sustainable velocity.
- Guide the design and evolution of scalable, efficient data systems, model deployment workflows, and monitoring/observability practices.
- Partner closely with Product and Design leadership to deeply understand customer needs and drive aligned solutions.
- Work with Platform, Security, and broader Engineering teams to deliver robust, secure, and compliant solutions.
Requirements:
- 8+ years in software engineering with at least 2+ years in direct people management and 3–5 years of experience on data/AI engineering teams.
- Experience with scalable, customer-facing data products and strong architectural understanding of data platforms and distributed systems.
- Familiarity with cloud services, data lakehouse technologies (e.g., Databricks/Spark), containerization (e.g., Kubernetes), and CI/CD practices.
- Knowledge of ML concepts and experience with modern AI technologies (e.g., generative AI, RAG frameworks).
- Strong communicator with the ability to influence across technical and non-technical audiences and shape team culture.
- Comfortable operating in a fast-paced environment with a people-first leadership mindset.
- Prior success scaling data platforms or embedded AI features in production systems.
Engineering Manager (Data and AI) in Toronto employer: Resonaite
Resonaite is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals looking to advance their careers in IT. With a focus on employee growth, you will have access to ongoing training and development opportunities while working in the vibrant city of Ottawa, known for its rich history and dynamic tech scene. The hybrid work model allows for flexibility, ensuring a healthy work-life balance as you contribute to impactful projects in a supportive environment.
