Engineering Lead, AI & ML Platforms

Google Inc.

Mountain View (CA)

On-site

USD 262,000 - 364,000

Full time

2 days ago
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Job summary

Google Labs is seeking a Software Engineering Manager to lead multiple teams across information retrieval, AI, and large-scale systems. You will set goals, align engineers, and drive delivery of critical initiatives across Mountain View and partner sites.

The role requires deep technical leadership, a track record of shipping complex products, and the ability to mentor teams across sites. This position emphasizes collaboration, architecture, and roadmap execution at scale.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with design and architecture, and testing/launching software products.
  • Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders.

Responsibilities

  • Set and communicate team priorities that support the organization's goals.
  • Set expectations with individuals based on their level and role and align to broader goals.
  • Develop the long-term technical goal and roadmap within, and beyond, the scope of your teams.
  • Oversee systems designs within the area and review product or system development code.
  • Drive technical project strategy, lead ML infrastructure optimization, and oversee design across ML areas.

Skills

Design and architecture
Testing & launching software
Stakeholder management
Decision making

Education

Bachelor's degree or equivalent practical experience

Tools

ML infrastructure
AI foundation models

Job description

Google Labs is seeking a Software Engineering Manager to lead multiple teams across information retrieval, AI, and large-scale systems. You will set goals, align engineers, and drive delivery of critical initiatives across Mountain View and partner sites.

The role requires deep technical leadership, a track record of shipping complex products, and the ability to mentor teams across sites. This position emphasizes collaboration, architecture, and roadmap execution at scale.

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