Software Engineering Manager, AI Studio (google)

Qualifications

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
  
• Experience in developing software applications using TypeScript and Go programming languages.
  

Preferred qualifications:

• Master's degree in Computer Science or related technical field.
  
• 2 years of experience with software development in Node, Go, or Python.
  
• 2 years of experience building products or features that utilize machine learning models through the full cycle of data collection, model development to deployment.
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• Experience with inter-team/cross-functional collaboration.
• Experience generating innovative ideas and excellent execution.

Summary

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.
  
• Experience in developing software applications using TypeScript and Go programming languages.
  

Description

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.

Google Cloud Platform (GCP) is leading the charge to bring Generative AI experiences to our customers, by leveraging data and insights to help customers solve business challenges.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Develop the Google Generative AI SDK that enables third-party developers to leverage the Gemini models.
• Understand developers of Large Language Model-based applications.
• Build production-scale features to productionize a new generative AI technical stack.
• Collaborate with partner product areas/teams to advance LLM state-of-the-art techniques, and realize real-world product impact in the meantime.