
Director Software Engineering - Central Integrity
Required skills
- AI transformation
- LLM-powered measurement
- AI agents
- frontier threats
- autonomous AI agents
- automated risk vectors
- integrity measurement
- child safety
- youth safety
- fraud and scams
Nice to have
- AI-augmented development workflows
- distributed organizations
- geographically dispersed organizations
- regulated domain engineering
Role summary
Meta is seeking an Engineering Director for its Central Integrity team to lead the design and deployment of AI-powered systems that detect and disrupt harm at a global scale. This role focuses on safeguarding areas like child safety, fraud, and identity, while defending against novel threats. The position requires strong engineering fundamentals, cutting-edge AI application, and a drive for real-world impact. Responsibilities include defining engineering strategy for AI/LLM measurement platforms, leading talent, shaping product decisions, building shared capabilities, and guiding the organization through an AI transformation. The role emphasizes attracting and retaining talent, driving organizational health, and representing engineering in executive planning.
Responsibilities
- Define and drive the engineering strategy for Integrity Measurement Platform, with a focus on AI and LLM-powered measurement capabilities
- Lead engineering and research talent to build trusted, customer-first measurement platforms and metrics
- Partner with leaders across Central Integrity, Meta's apps, and Monetization to shape strategy and inform consequential product decisions. Drive technical vision for LLM-powered measurement and AI agents that explain metric changes and support investigations
- Build shared capabilities that help teams across Meta move faster in understanding and managing risk
- Prioritize customer outcomes by starting with customer outcomes and building trusted partnerships with leadership
- Attract, develop, and retain engineering talent with a high bar for reliable platforms, data pipelines, and operational excellence
- Guide a highly technical organization through the AI transformation of its measurement capabilities
- Drive organizational health by proactively diagnosing and addressing issues surfaced through team feedback and manager effectiveness data
- Represent an engineering perspective in executive-level planning and strategic decision-making for integrity measurement initiatives
Minimum Qualifications
- 10+ years of technical industry experience in software engineering
- 7+ years of engineering management experience, including managing engineering managers
- A track record of building and scaling engineering organizations, including recruiting, developing, and managing the performance of engineers and engineering leaders
- Experience forming cross-functional partnerships across product, design, and data science to deliver large-scale engineering outcomes
- Experience reasoning rigorously with metrics and data, with an understanding of statistical uncertainty, bias, and ecosystem trade-offs
Preferred Qualifications
- Experience applying AI and LLMs to measurement, analytics, or data platform challenges
- Experience in trust and safety, risk, fraud, security, or regulated domain engineering
- Experience leading engineering teams through significant platform or tooling transitions, including the adoption of AI-augmented development workflows
- Experience building or contributing to systems, policies, or processes that improve platform safety for people and businesses
- Track record of driving cross-organizational collaboration and building trusted partnerships with leadership
- Experience managing distributed or geographically dispersed engineering organizations
$271,000/year to $347,000/year + bonus + equity + benefits
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