Customer Engineering Manager, Applied AI, Google Cloud

Google Cloud is seeking a Customer Engineering Manager for their Applied AI division to lead a team of pre-sales engineers engaging with business prospects. This role combines technical leadership with customer-facing responsibilities, requiring expertise in Machine Learning, AI frameworks, and cloud computing. The position offers a competitive base salary range of $195,000-$278,000 plus additional benefits.

The ideal candidate will have at least 2 years of experience managing technical teams in cloud computing and selling Customer Experience tooling. They should be well-versed in Machine Learning solutions, Large Language Models (LLM), and Retrieval Augmented Generation (RAG). The role involves owning technical relationships with top customers, working with Google Cloud AI Sales leadership, and ensuring team readiness for market opportunities.

Key responsibilities include leading opportunity review meetings, resolving product issues affecting customer satisfaction, and traveling up to 30% of the time. The position requires a bachelor's degree in Computer Science or related field, though an MBA or Master's degree is preferred. The successful candidate will need to balance technical expertise with communication skills, crafting compelling messages for various audiences.

Google Cloud's platform helps customers transform their businesses using cloud technology, with products engineered for security, reliability, and scalability. The role offers the opportunity to work with a diverse range of clients, from educational institutions to government agencies, helping them leverage Google's cutting-edge technology for their digital transformation journey.

The position comes with comprehensive benefits including bonus, equity, and health insurance. As part of Google's commitment to diversity and inclusion, they welcome candidates from all backgrounds and provide equal employment opportunities. The role can be based in San Francisco, Chicago, or New York, offering flexibility while maintaining strong collaboration with global teams.