Engineering Manager, Content Automation & ML Platforms

Google

Pittsburgh (Allegheny County)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Google in Pittsburgh is seeking a Software Engineering Manager to lead a high-performing team focused on content automation. You will define the technical strategy, oversee the SDLC, and collaborate with product, data science, and operations teams to deliver scalable solutions.

The role emphasizes building a strong engineering culture, driving innovation in automation technologies, and ensuring products are reliable and user-centric for billions of users.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of software development experience.
  • 3 years in a technical leadership role.
  • 2 years in people management or team leadership.

Responsibilities

  • Build, mentor, and manage an engineering team focused on content automation.
  • Define and drive the technical strategy, roadmap, and architecture for content automation systems.
  • Oversee end-to-end SDLC to deliver scalable, reliable content automation solutions.
  • Partner with content strategists, product managers, operations teams, data scientists, and other stakeholders to identify automation opportunities.
  • Advocate engineering best practices and drive high standards for code quality and system design.

Skills

8 years of software development
3 years of technical leadership
2 years of people management
Large-scale data processing & ML

Education

Bachelor's degree or equivalent practical experience
Master's degree or PhD in Computer Science

Job description

Google in Pittsburgh is seeking a Software Engineering Manager to lead a high-performing team focused on content automation. You will define the technical strategy, oversee the SDLC, and collaborate with product, data science, and operations teams to deliver scalable solutions.

The role emphasizes building a strong engineering culture, driving innovation in automation technologies, and ensuring products are reliable and user-centric for billions of users.

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