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Tier-1 brand, metro location and broad leadership requirements drive high competition.
Engineering leadership and distributed-systems focus mean moderate cross-industry transferability.
Explicit 12+ years and leadership plus distributed-systems requirement make screening highly strict.
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Lead and manage software engineering teams responsible for delivering AI applications, coordinating with cross-functional teams including Data Scientists, Machine Learning Engineers, UX experts, and Product Managers.
Drive execution and delivery of product features, make critical product decisions, and proactively resolve issues to ensure product success.
Oversee team processes as Scrum Master, mentor engineers, advocate technical excellence, participate in architecture discussions, and contribute occasionally to coding to remain technically engaged.
Related technical degree required.
12+ years of Software Engineering experience with 3–5 years managing sizable teams on fast-paced technical projects.
Experience leading large-scale distributed systems, microservices, and/or distributed architecture.
Agile/Scrum experience required.
Technically strong leader with a track record of managing multiple engineering teams delivering enterprise-level AI or software products in high-velocity environments.
Experienced in collaboration with diverse technical and product stakeholders including architects, product owners, and cross-functional engineers.
Demonstrates ability to drive execution, align priorities, and mentor teams while maintaining high morale and technical excellence.