Google

Application Engineering Manager, YouTube Marketing

Google Los Angeles, California, United States · $192K–$278K/yr

Software Development · 10,001+ employees

15 h ago
engineering-manager Principal (10+ yrs) Full-time United States
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About the role

Manage and mentor a technical team while leading the roadmap for applied AI and custom tools that help marketing teams scale campaigns. Build strategic partnerships with YouTube product, UX, and engineering teams, and modernize marketing workflows by developing reusable AI-powered platforms.

What they look for

People Management Team Mentoring Java Python Software Development Application Engineering Systems Architecture System Design Third-Party Integrations Web Development Applied AI LLM Orchestration Prompt Engineering Generative AI Project Leadership Workflow Automation

Requirements

Requires a bachelor's degree or equivalent practical experience, 12 years of Java or Python programming experience, and 8 years in software development, application engineering, or technical solutions development. Candidates also need experience with systems architecture, third-party integrations, and people or team management; preferred qualifications include a master's degree, production generative AI experience, and leadership of multi-team technical projects.

Benefits

Bonus Equity Benefits

Full description

Minimum qualifications:

  • Bachelor's degree in Computer Science, Management Information Systems, or other technical field, or equivalent practical experience.
  • 12 years of experience programming in Java or Python.
  • 8 years of experience in software development, application engineering, or technical solutions development, including designing, coding, and building internal tools, applications, and systems.
  • Experience with systems architecture and design.
  • Experience designing and implementing third-party system integrations.
  • Experience managing people or teams.

Preferred qualifications:

  • Master's degree in Computer Science, MIS or related technical field or equivalent practical experience.
  • Experience with LLM orchestration, prompt engineering, or integrating generative AI agents into production environments.
  • Experience leading multi-team technical projects from system architecture and design through to execution and deployment.

About the job:

You lead all aspects of web development, requirements gathering, software development, testing, documentation, training, implementation, ongoing support, and maintenance for both in-house and customer-facing web applications. You will work closely with a cross-functional team of Googlers using UI and functional specs/prototypes as input. You are empowered to act like an owner, take action and innovate to meet user and customer needs.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google. Responsibilities:

  • Manage and mentor a collocated technical team of Application Engineers and Specialists.
  • Design, build, and manage our Applied AI and custom tooling roadmap, translating strategic marketing requirements into custom technical solution development and implementation that empowers Product Marketing Managers (PMMs) and Go-To-Market (GTM) teams to scale campaigns.
  • Own technical cross-functional relationships with upstream YouTube Product, User Experience (UX), and Engineering teams, and drive strategic technical alignment on joint AI initiatives.
  • Optimize our marketing technology stack and automate legacy workflows by piloting agentic solutions, formalizing successful experimental tools (e.g., AI-native campaign systems) into reusable global platforms.

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