Responsibilities
- Define and own the multi-year technical vision and architecture for ATA XFN's agent platform spanning vertical pods, horizontals, and model/data infrastructure.
- Drive the most critical and ambiguous technical decisions, including those with company-wide implications for agent architecture, eval methodology, and XFN AI strategy.
- Serve as the primary technical thought leader for ATA XFN — representing the platform's direction to VPs, senior leadership, and across Meta's engineering community.
- Identify and create new categories of technical leverage — designing agent architectures, eval frameworks, and feedback systems that fundamentally change how Meta builds and deploys XFN agents.
- Architect the transition from "AI assists humans" to "AI works autonomously under human supervision" across regulated, high-stakes domains (Finance SOX compliance, Legal privilege, Policy regulatory sensitivity).
- Partner with MSL, AAI, Enterprise Engineering, and XFN client organizations to ensure ATA XFN agents are built on the best available models, harnesses, and infrastructure.
- Drive engineering excellence and operational rigor across the platform — setting the bar for agent quality, reliability, and safety.
- Attract and develop world-class engineering talent; serve as a role model for technical leadership across ATA XFN.
Minimum Qualifications
- 15+ years of software engineering experience, with an established track record as a top-level technical leader responsible for the direction of large-scale, high-impact platforms or systems
- Experience defining multi-year technical strategies that resulted in transformative impact at the organizational or company level
- Demonstrated ability to operate effectively with senior and executive leadership, translating technical vision into business outcomes
- Expertise spanning multiple technical domains (e.g., distributed systems, ML/AI, product generalist engineering) with the ability to make authoritative decisions across them
- Proficiency in one or more of: Python, C++, Java, Hack, or similar languages
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred Qualifications
- Experience as a principal-level (or equivalent) technical leader at a major technology company
- Deep expertise in AI/ML systems, LLMs, or developer/productivity platforms in production at scale
- Track record of creating entirely new platforms, capabilities, or technical categories that achieved broad adoption
- Published research, patents, or recognized industry contributions in AI, distributed systems, or platform engineering
- Experience partnering directly with research organizations to bring cutting-edge capabilities into production
- Recognized as an industry thought leader in AI, platform engineering, or developer productivity
$271,000/year to $347,000/year + bonus + equity + benefits
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