Application Engineering Manager, YouTube Marketing

Google LLC; San Bruno (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google LLC in California seeks a senior engineering leader to own end-to-end web platforms for internal and customer-facing apps, driving strategy, quality, and delivery.

You will lead cross-functional teams, translate requirements into scalable solutions, and mentor engineers while aligning with product and marketing goals.

This role emphasizes hands-on ownership, innovation, and a strong focus on user impact, with competitive compensation and equity.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 12 years of experience programming in Java or Python.
• 8 years in software development, engineering or solutions development.
• Experience with systems architecture and design.
• Experience integrating third-party systems.
• Experience managing people or teams.

Responsibilities

• Lead all aspects of web development for in-house and customer-facing apps.
• Collaborate with cross-functional Googlers using specs and prototypes.
• Act as owner, take action and innovate to meet user and customer needs.
• Ensure ongoing maintenance and support for web applications.

Skills

Java

Python

Systems design

Team leadership

Education

Bachelor's degree in CS / MIS or related field

Equivalent practical experience

Job description

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 (https://www.google.com/about/careers/applications/benefits/).

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.
• 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.