Join Google Cloud's innovative team and empower organizations to build and transform their businesses using cutting-edge cloud technology. Our secure, reliable, and scalable products span from infrastructure to applications, supporting businesses of all sizes, educational institutions, and government agencies. As part of a dynamic, entrepreneurial team, you will play a crucial role in understanding customer needs and shaping the future of how businesses leverage technology for connection and growth.

The Practice Customer Engineering (CE) Manager will lead and inspire a team of subject matter experts. This role focuses on guiding customers through accelerated workload migration and resolving technical challenges. Cultivating a culture of technical excellence and deep understanding of architecture, delivery, and consumption within your specialized domain and Google Cloud's offerings is paramount.

Google Cloud is dedicated to digitally transforming businesses and industries with enterprise-grade solutions powered by Google's advanced technology. We equip developers with tools for sustainable building. Our partners in over 200 countries rely on Google Cloud to foster growth and overcome critical business obstacles.

Lead a team of Practice Customer Engineers, cultivating team culture, talent development, and strategic skill-building to establish AI-ready data foundations for maximizing proprietary data value. Foster key partnerships and provide thought leadership in data platform strategy, governance, and agentic AI architectures. Collaborate closely with Sales on go-to-market strategies for Data and AI workloads and the development of repeatable solution patterns.

Integrate technical leadership with operational efficiency. Conduct review meetings to drive technical successes and refine migration strategies with clients and prospects. Oversee the development of prototypes and proofs-of-concept.

Engage cross-functionally within Google and with partners to address technical challenges and relay valuable field insights to Product and Engineering teams. Drive compelling technical narratives around advanced data platforms, lakehouses, and open tables, while actively integrating unstructured and multimodal data.

A Bachelor's degree or equivalent practical experience is required. Candidates should possess a minimum of 10 years of experience in cloud-native architecture, ideally within a customer-facing or support capacity. Proven leadership experience, including people management, team leadership, mentorship, or coaching, is essential. Experience engaging in technical discussions, delivering demonstrations, developing prototypes, and conducting workshops with customers is also necessary. A strong background in data and AI/ML technologies is crucial for this role.

Preferred qualifications include demonstrated success in influencing cross-functional teams, customers, and partners to achieve business objectives, enhance customer experiences, and drive customer expansion. Experience as a pre-sales manager or a technical customer-facing people manager within professional services or a sales engineering team is highly valued. Familiarity with data governance, metadata, and semantic layers as a foundation for grounding AI agents in enterprise data is beneficial. Experience in driving the adoption of specialized workloads such as Cloud AI and Data Analytics with technical decision-makers is also desirable.

Successful candidates will excel at tailoring impactful messages for diverse audiences, asking strategic questions, and leading conversations that accelerate value realization and uncover new business opportunities. Expertise in technical sales and strategizing around comprehensive customer and industry solutions is a significant advantage.