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HomeCompaniesDeepMindDirector, Engineering, Create

Director, Engineering, Create

DeepMind · Mountain View, California, US · Active · $307,000–$427,000 / year · Greenhouse

Job facts

FieldValue
CompanyDeepMind
TitleDirector, Engineering, Create
Normalized title-
Department / teamGeminiApp
LocationMountain View, United States
Work model-
Employment type-
Salary$307,000–$427,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-17 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from DeepMind.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Mountain View.Open
Department jobsActive postings in GeminiApp.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyDeepMind
Sourcebf4d5a44-cb79-4712-9ef5-a8e1c5580d4e
ATS providerGreenhouse

Description

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. 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.

Full job record

Job ID94ac31aec76bc7d6af3f4c5ed24d58c9dbbde115
Org ID6cee1fb6-bdc3-4896-ac63-182b558972a8
Source IDbf4d5a44-cb79-4712-9ef5-a8e1c5580d4e
Board IDbf4d5a44-cb79-4712-9ef5-a8e1c5580d4e
Providergreenhouse
Provider Job Key7821851
TitleDirector, Engineering, Create
Normalized Title
Statusactive
Activeyes
Location TextMountain View, California, US
DepartmentGeminiApp
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
Region
CityMountain View
Salary Rawsalary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits
Salary Min307,000
Salary Max427,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/deepmind/jobs/7821851
Apply URLhttps://job-boards.greenhouse.io/deepmind/jobs/7821851
First Seen At2026-05-29 22:41:34Z
Last Seen At2026-06-06 07:35:00Z
Last Checked At2026-06-06 07:35:00Z
Last Changed At2026-05-29 22:41:34Z
Inactive At
Source Posted At2026-04-17 01:57:12Z
Source Updated At2026-04-17 01:57:48Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=deepmind/date=2026-06-06/2026-06-06T07-34-59-932Z-99c021da5a0d3713b10d7b8ffe1b484e4af655018743add184ddc936104ce038.json
Event Fields
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}
Parsed Structured
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  "launch_scope": {
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  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "company_name": "DeepMind",
  "requisition_id": 3414608,
  "first_published": "2026-04-16T21:57:12-04:00",
  "application_deadline": null
}
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