Sr. Manager, Data Engineering

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Description

Role Summary We're looking for a Senior Manager to lead a blended AI engineering team building the agentic AI platform and the marketing solutions that run on top of it. This is a delivery-leadership role: you own the roadmap, execution, and quality bar for a team of platform engineers, applied-AI solutions builders, and data engineering — turning cutting-edge agentic AI into reliable, production systems that marketing and analytics teams depend on every day. You will operate at the intersection of platform and product: hardening the agentic infrastructure (LLM orchestration, retrieval, tool/MCP integration, deploys, reliability) while making sure the AI solutions built on it deliver real marketing outcomes. You'll grow the people on your team, set a high engineering bar, and partner across a global AI organization. What You'll Do Platform & infrastructure Own delivery and reliability of the agentic AI platform: LLM orchestration, retrieval/RAG pipelines, tool and MCP integration, model routing, and evaluation. Drive engineering quality — test discipline, deployment safety, observability, cost and latency management — across everything the team ships. Set technical direction with your senior engineers; make the hard architecture calls and unblock the team (design-level involvement; not expected to write production code day-to-day). Applied AI solutions Lead the team that builds AI agents and workflows for marketing use cases (analytics, paid media, content-to-intent, executiv

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