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You will partner closely with different Gen AI counterparts to quickly bring the latest and greatest model capabilities from Google DeepMind&#39;s Gen AI unit into the product.</p>\n<p>Your core responsibilities will include:</p>\n<ul>\n<li>Define and execute the overall technical strategy for the Create area within Gemini App, aligning with the broader product outlook and driving daily usage.</li>\n</ul>\n<ul>\n<li>Lead and manage multiple engineering teams focused on features like content input and understanding, and content generation.</li>\n</ul>\n<ul>\n<li>Partner closely with Product Management, User Experience, and Data Science leads to define product roadmaps and deliver new LLM-forward capabilities.</li>\n</ul>\n<ul>\n<li>Drive the integration of GenAI model capabilities into Gemini App products.</li>\n</ul>\n<ul>\n<li>Foster a culture of innovation, collaboration, and rapid iteration within the engineering teams.</li>\n</ul>\n<ul>\n<li>Establish and track key performance indicators for the Create area, focusing on DAU for Gemini App.</li>\n</ul>\n<ul>\n<li>Manage cross-functional dependencies and collaborations with Gen AI, Workspace, Labs, and others as required to deliver great features.</li>\n</ul>\n<ul>\n<li>Ensure the scalability, reliability, and performance of Create-related features.</li>\n</ul>\n<p><strong>Candidate Qualifications</strong></p>\n<p>In order to set you up for success, we look for the following skills and experience:</p>\n<ul>\n<li>Bachelor&#39;s degree in Computer Science or Engineering, or equivalent practical experience.</li>\n</ul>\n<ul>\n<li>15 years of experience in software engineering, building and working with systems in the technology organization.</li>\n</ul>\n<ul>\n<li>7 years of experience managing teams of software engineers and managers of software engineers.</li>\n</ul>\n<p>In addition, the following would be an advantage:</p>\n<ul>\n<li>Master&#39;s or PhD degree in Computer Science, or a related technical field.</li>\n</ul>\n<ul>\n<li>Experience incubating and scaling new product initiatives from conception (0 to 1) to broad adoption in a fast-paced or startup environment.</li>\n</ul>\n<ul>\n<li>Expertise and direct experience in the application and deployment of large-scale AI/Machine Learning systems, particularly in generative AI for consumer products.</li>\n</ul>\n<ul>\n<li>The US base salary range for this full-time position is between $307,000 - $427,000 + bonus + equity + benefits.</li>\n</ul>\n<p>Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p>\n<p>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. 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