Engineering Manager, Applied AI & Machine Learning Engineering
Core
Manage resource planning, execution, and people management for a cross-functional team of MLE and MLOps engineers building AI/ML solutions for investment professionals.
Role type
Engineering Manager, Applied AI & Machine Learning
Builds
Generative AI/LLM features, predictive/classification models for financial data, vector database systems, and high-volume data management pipelines.
Domain
Fintech / Investment Data / Applied AI
Deliverable
production ML models | product features
Required skills
resource allocation, capacity planning, project execution, risk management, stakeholder communication, team coaching, hiring/onboarding, distributed team management
Preferred skills
matrix organization experience, blended internal/external team management, performance review processes, fintech domain knowledge
Technologies
Kubernetes, Docker, Kafka, Airflow, Snowflake, cloud platforms
Responsibilities
Manage resource allocation and capacity planning across multiple AI/ML projects; Partner with technical leads to create realistic delivery plans and staffing models; Maintain visibility on project progress, dependencies, and risks; Resolve delivery blockers and priority conflicts; Facilitate quarterly planning for MLE and MLOps teams; Coach engineers through one-to-ones and support career development; Identify capability gaps and contribute to workforce planning.
Seniority
Manager, hands-on leadership