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Metro, recognized SaaS employer and seniority produce moderate competition for specialized AI platform leadership.
Strong cloud platform and AI-infrastructure specialization limits cross-industry transferability.
Explicit 15+ years, leadership and specific cloud/AI platform skills create highly strict shortlisting.
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Lead strategy, architecture, delivery, and operational excellence of Couchbase AI Cloud Platform capabilities for operational AI workloads.
Manage and scale large engineering teams building Operational Data Platform for AI, ensuring production-grade scalability, reliability, performance, and security.
Drive cross-functional collaboration with Product, Design, SRE, and executive teams to influence company growth, platform reliability, and market competitiveness.
15+ years of software engineering experience, with 5+ years leading multiple teams.
Strong background in distributed systems, databases, or large-scale cloud platforms.
Deep experience with cloud platforms such as AWS, GCP, or Azure and production SaaS service operations at scale.
Hands-on familiarity with AI infrastructure concepts including Vector search and indexing, Retrieval Augmented Generation (RAG), Embedding pipelines, LLM and inference systems, Agent architectures and memory systems.
Experienced leader who can balance strategic vision with technical depth at the intersection of distributed systems, cloud-native platforms, and AI.
Proven ability to drive architectural decisions and operational rigor for scalable AI platform services.
Skilled in mentoring senior technical leaders and driving execution excellence using engineering performance metrics and KPIs.