Director, Engineering, Create

About Us:

Artificial intelligence will be one humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

The Role

As an Engineering Director, you will lead the Create strategy. Teams within Create focus on empowering users to generate and refine various forms of content, from visual media to generative music. The teams also work on developing robust content input and understanding capabilities to seamlessly integrate users' ideas. 

In addition to these areas, you will work closely with Product Management, User Experience, and Data Science to improve these features and to build new LLM-forward capabilities into the Gemini App product. You will deploy capabilities that drive daily usage of the product. To build out these features, each of your areas have a deep connection to Generative AI (Gen AI). You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind's Gen AI unit into the product. 

Your core responsibilities will include:

• Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage. Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.
• Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities. Drive the integration of GenAI model capabilities into Gemini App products.
• Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams. Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.
• Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.
• Ensure the scalability, reliability, and performance of Create-related features.

Candidate Qualifications

In order to set you up for success, we look for the following skills and experience:

• Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.
• 15 years of experience in software engineering, building and working with systems in the technology organization.
• 7 years of experience managing teams of software engineers and managers of software engineers.

In addition, the following would be an advantage: 

• Master's or PhD degree in Computer Science, or a related technical field.
• Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.
• Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.
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The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.isted for the position, we will contact you to set up an initial interview where you will have the opportunity to ask questions and learn more about the position.   

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.