Engineering Manager (Data and AI)

Resonaite; Toronto; Remote; CAD 120,000 - 150,000; Full time

Job summary

A fintech company is seeking an Engineering Manager to lead its Data & AI Engineering team. This role involves managing and developing engineering talent, establishing technical goals, and guiding data architecture. Ideal candidates will have over 8 years in software engineering, with a strong background in data products and people management. You'll work closely with Product and Design leadership in a remote environment focused on innovation and growth.

Qualifications

• At least 8 years in software engineering and 2 years in people management.
• Experience with scalable, customer-facing data products.
• Familiarity with cloud services and data lakehouse technologies.

Responsibilities

• Manage and develop a team of data and AI engineers.
• Own the technical vision for data architecture and pipelines.
• Work closely with Product and Design leadership.

Skills

Software engineering expertise

Data/AI engineering experience

Leadership and team management

Strong communication skills

Ability to influence stakeholders

Tools

Databricks

Kubernetes

CI/CD tools

Job description

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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

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