• Lead and grow an organization of multiple engineers and managers, providing technical direction and career mentorship to scale the team’s impact.

• Oversee the strategy and execution of ML infrastructure, ensuring the platforms used for content and actor detection are robust, scalable, and efficient.

• Collaborate with cross-functional partners to align infrastructure capabilities with the evolving needs of machine learning models and safety enforcement.

• Drive the technical roadmap for the platform, balancing long-term architectural improvements with the immediate operational needs of the Ads Safety organization.

• Manage organizational health and operational excellence, establishing high standards for engineering practices and fostering a high-performing team culture.

Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.

• 8 years of technical leadership and people management experience, including in leading managers.

• 8 years of experience with software development.

• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience building and developing large-scale infrastructure or distributed systems.