SRE Manager, ML Operations

What you'll do

• Manage and scale SRE teams responsible for the reliability, performance, and availability of ML Platforms and Services.
• Mentor engineers through clear goal-setting and career development programs.
• Define a team vision and drive execution toward high-quality, measurable outcomes.
• Champion SRE best practices including SLOs/SLAs, error budgets, observability, and incident management.
• Partner with technical leadership on architecture decisions, platform strategy, and long-term roadmaps.
• Collaborate cross-functionally with Product, ML Platform, and Data Science teams to deliver complex initiatives.
• Oversee the reliability of high-scale infrastructure for global ad serving systems.

What we're looking for

• 10+ years of experience with large-scale distributed systems.
• 5+ years of experience in an engineering leadership role, ideally managing SRE or Production Engineering teams.
• Proven track record of building and leading high-performing engineering teams.
• Strong grasp of operating system principles, networking fundamentals, and systems management.
• Deep understanding of SRE principles including monitoring, alerting, error budgets, fault analysis, capacity planning, and incident response.
• Experience managing and optimizing GPU-based clusters in production environments.
• Experience building and operating large-scale ML systems or infrastructure at scale.
• Bachelor's or Master's degree in Computer Science or a related field.