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Tier-1 brand, generalist engineering manager role, metro location and broad full-stack plus AI skill requirements.
Requires specialized ML and data engineering production experience, moderately transferable across industries.
Explicit 10+ years plus mandatory Java/React, data engineering and ML production experience increases filter strictness.
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Lead the strategic technical direction and development processes of Analytics & AI applications within the Data Analytics and AI product suite.
Manage and mentor a cross-functional engineering team to deliver high-quality, scalable AI and data-driven solutions, ensuring projects meet customer demands and support future growth.
Collaborate with Product Managers and Designers to define product roadmaps, scope features, and plan releases, while fostering a culture of accountability and continuous learning.
10+ years of engineering experience in an agile production environment.
Proficiency in object-oriented languages, preferably Java/Spring; experience with modern front-end frameworks such as React with Redux and Typescript.
Experience with RESTful APIs, SQL, message queuing, and Git/Jenkins; hands-on experience preferred in Python or Scala, Hadoop platforms, and building/deploying production-level data-driven applications.
Degree in Computer Science or a related technical field.
Experienced in leading full-stack application design and implementation, especially in analytics, AI, or data engineering domains with machine learning delivery.
Technical leader comfortable coaching engineers and innovating with new technologies and methodologies in a fast-paced, agile environment.
Strong collaborator capable of cross-team partnership to solve complex technical problems and align product strategy with technical execution.