Sr. Manager, Data Engineering

Join a fast‑growing AI engineering team that builds the agentic AI platform powering Adobe’s marketing solutions. You’ll lead a blended group of platform, applied‑AI, and data engineers to turn cutting‑edge research into reliable production systems. What You'll Do Own roadmap and delivery of LLM orchestration, retrieval, and tool integration. Drive engineering quality: testing, deployment safety, observability, cost and latency. Set technical direction and unblock senior engineers on architecture decisions. Lead development of AI agents and workflows for marketing use cases. Ensure solutions deliver measurable business outcomes and gain stakeholder adoption. Balance platform investment with solution delivery to advance both. Represent team to leadership, align globally distributed AI organization. What You Need 12+ years software/AI/ML engineering, with 4+ years managing teams. Deep expertise in agentic AI/LLM systems: orchestration, retrieval/RAG, tool use. Proven track record shipping production AI/ML systems at scale. Strong Python skills and modern cloud‑native/container deployment. Experience designing test discipline, observability, and cost‑latency controls. Excellent communication and stakeholder management across global orgs. Good to Have Marketing technology or analytics experience (AEP, AJO, CJA, adtech). Hands‑on with Databricks, vector databases (pgvector) or graph stores (Neo4j). Experience building or scaling a new AI engineering function. The Opportunity You’ll lead a blended team of platform engineers, applied‑AI builders, and data engineers, shaping the AI platform that powers Adobe’s marketing suite. Success will be measured by delivering a production‑ready AI solution and establishing platform reliability standards.