Engineering Manager, Creator Support, YouTube

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The Creator Support Product team designs and builds systems to support creators through authoritative data, internal tools, creator-facing products, and advanced technologies like our Generative AI powered virtual help assistants. We work to make every interaction easy, helpful, and empowering.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

• Hire, ramp-up and manage a diverse team.
• Work with customer engagement, machine learning operations, Gemini and the broader YouTube organization to develop the models powering a Support Assistant based on a Large Language Model (LLM).
  
• Work with other cross-functional teams at YouTube to integrate other skills in the assistant (e.g., explaining video performance, resolving Trust and Safety issues).