Senior Engineering Manager, Document/Cloud AI

Minimum qualifications :

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.

• 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.

Preferred qualifications :

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience working in a complex, matrixed organization.

About the job

Like Google's own ambitions, the work of a Software Engineer (SWE) goes way beyond just Search. SWE 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 SWE Manager you manage your project goals, contribute to product strategy and help develop your team.

SWE 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.

The Document AI team solves the document parsing, understanding, and enrichment issues. Multimodal and text LLMs are transforming the industry, and enabling unheard of accuracy across many applications.

We focus on leveraging the best of traditional techniques and LLMs to understand the deep structure and content of documents, improvements to document understanding cascade and uplift the entire product quality of many downstream applications.

Document AI improvements unlocks sought after document processing, search, and chat applications over often complex and multimodal document corpora.

We are building the foundation of all applications involving a document across Cloud, powering rapidly growing teams such as Vertex AI Search.

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

• Hire talent and build a high performing team culture.
• Design and build reliable, highly available, maintainable, and scalable services.
• Orchestrate long-running pipelines to power training and serving workflows.
• Enhance document understanding by working closely with various teams across Google.
• Integrate text Large Language Model (LLM), multimodal LLMs, and other machine learning models into diverse training and serving systems.

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