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Lead a team building Google's cross-product end-to-end testing platform and quality gates for agentic systems. Requires eight years in software development, three years in technical leadership, and two years managing people. Essential skills include generative AI and LLM integration experience, with preferred background in engineering management, agentic systems, and Google Cloud Platform. No location or pay specified.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Lead a high-impact team of Software Engineers responsible for architecting, expanding, and maintaining the cross-product end-to-end (E2E) testing platform and quality gates for Google’s next-generation agentic ecosystem.
  • Be at the critical intersection of Agent Cloud, Agent Platform, Gemini Enterprise, and Workspace.
  • Empower partner engineering teams to ship agentic features rapidly with complete confidence, establishing automated release gates that prevent regressions from ever reaching production or enterprise customers.

Minimum qualifications:

  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

  • 2 years of experience in engineering management.
  • Experience building agentic experiences.
  • Understanding of Public Cloud services, with a focus on Google Cloud Platform (GCP).
  • Stakeholder management and overseeing projects with high visibility to leadership.
  • Passion for simplicity and improving customer satisfaction.
  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development.
  • 3 years of experience in a technical leadership role.
  • 2 years of experience in a people management or team leadership role.
  • Experience integrating generative AI tools or LLM interfaces into workflows.
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  • Role Software Engineering Manager II
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

177K – 227K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 219 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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