About the job

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.

At Google Threat Intelligence (GTI), we're on a mission to make the internet a safer place by empowering security researchers, analysts, and organizations worldwide. Our team of passionate engineers develops and maintains a global platform for threat intelligence, enabling users to detect and analyze malware, phishing, and other cyber threats.

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

• Lead the effort to agentize security analyst workflows without being constrained by how tasks are currently performed by humans; focus on 'thinking out of the box' to create more revolutionary solutions.

• Oversee the development of rapid prototypes for applied AI, utilizing the four additional headcounts allocated for this purpose.

• Act as the centerpiece for creating better communication and alignment across the broader organization regarding AI technologies and their implementation.

• Function as a People Manager who also contributes technically, providing direct mentorship and technical oversight to the Applied AI team.

• Manage the end-to-end execution of AI projects while ensuring the team remains lean and efficient.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 8 years of experience with software development.

• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

• 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

• 5 years of experience in a technical leadership role.

• 5 years of experience in a people management or team leadership role.

Preferred qualifications

• 5 years of experience working in a complex, matrixed organization.