Senior Software Engineering Manager, AI/ML, SecLM, Cloud

Google Cloud is seeking a Senior Software Engineering Manager to lead their AI/ML initiatives, specifically focusing on the SecLM platform. This role combines technical leadership with people management, requiring expertise in software development, distributed systems, and AI/ML technologies. The position involves managing multiple teams across different locations, overseeing the development of security-specialized LLM platforms, and contributing to product strategy.

The role is particularly focused on SecLM, a Vertex AI-based platform built on a security-specialized LLM. This platform leverages Google's extensive security intelligence and Mandiant's expertise in vulnerabilities, malware, and threat analysis. The position offers an opportunity to work at the intersection of AI and security, developing solutions that serve both security partners and customers.

As a Software Engineering Manager, you'll be responsible for technical leadership across major projects while managing a team of engineers. The role requires both deep technical expertise and strong leadership skills to optimize code, guide team development, and manage project goals. You'll be working in a complex, matrixed organization, dealing with various aspects of software engineering including artificial intelligence, distributed computing, and large-scale system design.

The position offers competitive compensation including a base salary range of $237,000-$337,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced technical leaders who want to make a significant impact in the AI/ML security space while working with cutting-edge technology at one of the world's leading tech companies.

The ideal candidate will have at least 8 years of software development experience, 5 years of technical leadership, and a strong background in infrastructure or distributed systems. They should be comfortable managing teams across multiple locations and have the technical depth to guide complex technical decisions while maintaining a strategic view of the organization's goals.