Develop the technical strategy and roadmap for large, long-term ML projects, prioritizing quick and demonstrable progress and the flexibility to shift focus as business needs evolve.

Clarify and solve large, open-ended production problems where the solution is initially unclear, delivering solutions that directly accelerate delivery.

Adapt and evolve SRE practices to be effective for GDM, ensuring production engineering expertise is a strategic enabler of rapid research-led iteration.

Lead across multiple groups and influence stakeholders with competing priorities to align on outcomes that serve the best interest of GDM's AI mission.

Initiate all new tasks with agentic tools and lead the team in building long-term agentic muscle memory by developing and sharing new agent skills. Guide the contributions of others and cultivate innovation across multiple teams, managing technical credibility in large-scale programs.

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

8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

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

3 years of experience in incident management.

Experience in cross-functional collaboration and stakeholder management.