Staff Software Engineer, AI & Ads Platform Leader

Google Inc.

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

7 days ago
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Job summary

Google's Staff Software Engineer role in Agentic Automations, Connect Sales, Sales AI, Google Ads focuses on building scalable software for ads and AI-powered workflows. You will own architecture, drive design decisions, and lead cross-functional teams to deliver high-impact solutions.

You will leverage 8+ years in software development, with strong experience in AI integration and leadership across complex projects, collaborating with researchers and product teams to push the boundaries of

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience testing, and launching software products.
  • 3 years of experience with software design and architecture.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

  • Provide technical leadership on high-impact projects.
  • Influence and coach a distributed team of engineers.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines.
  • Manage project priorities, deadlines, and deliverables.
  • Design, develop, test, deploy, maintain, and enhance large scale software solutions.

Skills

Software development
Testing & launching
Software architecture
Generative AI integration
LLM integration

Education

Bachelor's degree or equivalent practical experience
Master’s degree or PhD in Engineering/CS

Job description

Google's Staff Software Engineer role in Agentic Automations, Connect Sales, Sales AI, Google Ads focuses on building scalable software for ads and AI-powered workflows. You will own architecture, drive design decisions, and lead cross-functional teams to deliver high-impact solutions.

You will leverage 8+ years in software development, with strong experience in AI integration and leadership across complex projects, collaborating with researchers and product teams to push the boundaries of

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