Software Engineer, Agent Transformation Accelerator XFN (Technical Leadership)

Menlo Park, United States · On-site
Salary not published
Posted 2 days ago

From Meta's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

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.

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Hi [Name], I just applied for the Software Engineer, Agent Transformation Accelerator XFN (Technical Leadership) role at Meta. My background in [your most relevant experience] lines up well with what the team is looking for. Would you be open to a quick chat, or could you point me to the right person on the team? Thank you!

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Software Engineer, Agent Transformation Accelerator XFN (Technical Leadership)

Menlo Park, United States · On-site
Salary not published
Posted 2 days ago

From Meta's careers page

Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.

About the role

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.

What they ask for vs. your profile

Must have

Leadership

What they ask for vs. your profile

Must have

Leadership

Your match

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Career roadmap: Software EngineerWhat to learn, how to practice and free resources, from beginner to expert.

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