Director, Data Engineering

The Role: Architecting the AI-Native Enterprise

Meta is fundamentally rewiring its internal operations through a massive initiative called AI for Work (AI4W). As a Director-level individual contributor, you will build the foundational measurement frameworks that quantify the impact of this shift. This isn't just standard data engineering; it's about creating the telemetry and semantic models required to track how autonomous agents and vibe coding platforms change the way a global workforce operates.

Technical Focus & Vibe Coding Integration

You will be a primary driver in evaluating internal AI tools like MetaMate and DevMate, alongside external tools such as Cursor and Claude. The work involves:

• Agent Orchestration: Designing systems that capture signals from agents that execute complex tasks independently.
• Pipeline Innovation: Building scalable data infrastructure to handle the unique telemetry of AI interactions and LLM outputs.
• Prompt Engineering: Utilizing advanced AI-assisted development techniques to move faster and set the standard for 'AI-native' engineering.

Why This Role Matters

This is a high-visibility, ground-up position where you'll define what 'success' looks like in an AI-augmented world. You'll bridge the gap between engineering teams building the future of work and executive leadership seeking to understand the ROI of these innovations. For a data leader who lives and breathes AI-assisted development, this is the chance to scale those practices to tens of thousands of people.