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Tier-1 brand and metro location increase competition, while seniority and niche AI focus reduce applicant density.
Role requires deep ML systems and leadership experience, making cross-industry transfers limited and highly domain-specific.
Explicit 15–20+ years, 6+ years leadership, and mandatory ML systems experience enforce strict shortlisting.
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Lead and grow a team responsible for the AI framework in Adobe Express, overseeing end-to-end delivery and architecture.
Drive technical direction and partner with product, research, and build teams to scale AI-powered systems and features.
Provide senior leadership with clear insights on execution risks, dependencies, and priorities in AI adoption across the product.
15-20+ years in software engineering with 6+ years leading engineering teams through real product delivery.
Hands-on AI/ML experience involving building ML-powered features or integrating models into production systems.
Bachelor's or advanced degree in Computer Science or equivalent experience.
Experience leading diverse, global, and collaborative engineering teams.
Experienced in bridging the gap between research ML models and scalable production systems with strong technical judgment.
Proven ability to drive AI adoption beyond a single team via defining metrics, governance, and scalable safe usage.
Track record of building and scaling high-impact AI systems within large, user-facing products reaching tens of millions.