Meta is building the Agent Transformation Accelerator (ATA) for Cross-Functional Organizations (XFN) — one of the most ambitious applications of agentic AI at enterprise scale. ATA XFN's mission is to make every cross-functional discipline at Meta — Finance, Legal, People, Policy, Comms, Partnerships, Sales — 10x more effective by building AI agents that work autonomously under human supervision. This is the first fully agentic XFN workforce at a major technology company.
We are seeking a Software Engineer to serve as one of the top technical leaders for ATA XFN — defining the foundational agent architecture, shaping how Meta approaches AI-powered XFN transformation, and ensuring the platform can scale across all disciplines. You will operate at the intersection of technology and organizational strategy. You will define the multi-year technical vision for how AI agents integrate into complex, regulated, human-centric workflows.
You will influence company-wide decisions about agent architecture, eval methodology, and the feedback loops that make models better from use. You will navigate extreme ambiguity — building agents for domains (law, finance, policy) where accuracy, compliance, and trust are non-negotiable.
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