AI & Data Platforms Engineering Manager

Google Inc.; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus (20% target)

Benefits

Job summary

Google invites an Engineering Manager for the Paladin, AI and Data Platforms to lead cross-functional teams in building scalable AI/ML data platforms and services at scale in Sunnyvale, CA. You will drive outcomes, mentor engineers, and influence product strategy across Security Operations and Data Intelligence initiatives.

Candidate should have deep ML domain expertise, strong leadership, and a track record of delivering complex distributed systems.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 5 years of experience leading ML design and optimizing ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning).
• 3 years of experience in a technical leadership role.
• 2 years of people management or team leadership experience.

Responsibilities

• Develop AI/ML systems for data platforms and drive large-scale data projects across sites.
• Lead engineers across multiple teams and locations with a large product budget.
• Oversee deployment of large-scale projects, including security and data processing components.
• Define and drive the roadmap for data intelligence indexing and enrichment projects, focusing on Spanner infrastructure.

Skills

Software development

ML infrastructure

Speech/Audio ML

Reinforcement learning

Technical leadership

People management

Education

Bachelor’s degree or equivalent practical experience

Tools

Spanner

Job description

Google invites an Engineering Manager for the Paladin, AI and Data Platforms to lead cross-functional teams in building scalable AI/ML data platforms and services at scale in Sunnyvale, CA. You will drive outcomes, mentor engineers, and influence product strategy across Security Operations and Data Intelligence initiatives.

Candidate should have deep ML domain expertise, strong leadership, and a track record of delivering complex distributed systems.