Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.

Set clear expectations with individuals based on their level and role, and align them to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.

Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.

Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.

Be accountable for content safety quality, your work will protect users from exposure to offensive, sensitive or potentially harmful content, and unlock new opportunities for the business.

Bachelor’s degree or equivalent practical experience.

8 years of experience with software development.

7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

5 years of experience in a technical leadership role.

5 years of experience in a people management or team leadership role.

Experience with Artificial Intelligence (AI) or safety-adjacent fields, such as factuality, or product policy.