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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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