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Senior, niche AI engineering manager role with specific skills reduces candidate density despite metro location.
Leadership and engineering skills are transferable, but specialized AI and enterprise product experience increases domain bias.
Explicit 12+ years, 3+ years management, and specific tech plus AI requirements create strict shortlisting filters.
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Lead and mentor a product development team responsible for AI-powered platform initiatives including Prism, ensuring technical quality through design reviews and adherence to standards.
Drive technical vision and execution, including defining best practices, architectural guidelines, and integrating AI agents and intelligent workflows into scalable enterprise applications.
Plan and manage team capacity, prioritize deliverables, mitigate risks, support hiring, evaluate emerging AI technologies for business value, and foster continuous learning in AI technologies.
12+ years of software engineering experience, including 3+ years in engineering management leading software development teams.
Strong technical skills with Angular, JavaScript, TypeScript, and working knowledge of Python; experience with enterprise-scale applications, REST APIs, and Agile methodologies.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Experience delivering enterprise software products and leading AI initiatives or AI engineering teams is highly desirable.
Experienced leader with significant technical depth in building and scaling AI-integrated enterprise software platforms and distributed systems.
Demonstrated ability to balance strategic innovation with operational delivery and to drive cross-functional collaboration with product management, UX, and architecture teams.
Strong background mentoring and developing engineering talent, with a focus on AI technology adoption, architectural decision-making, and continuous improvement of engineering practices.