Join Google Cloud's pioneering team, empowering businesses to thrive with cutting-edge cloud technology. We build secure, scalable solutions that transform industries, from infrastructure to applications. As a key member, you'll deeply understand customer needs and shape the future of technology adoption.

This Practice Customer Engineering Manager role involves leading a team of experts dedicated to providing trusted technical guidance and solutions. You'll drive workload migration, remove technical obstacles, and cultivate a culture of technical excellence within your specialized domain and Google Cloud's product ecosystem.

Google Cloud is instrumental in digital transformation, delivering enterprise-grade solutions powered by Google's advanced technology. We enable organizations worldwide to achieve growth and solve complex challenges, fostering sustainable development through innovative tools.

Lead and develop a team of Practice Customer Engineers, focusing on team culture, talent development, and skill enhancement to build AI-ready data foundations and maximize data value. Provide thought leadership and foster partnerships in data platform strategy, governance, and agentic AI architectures.

Collaborate closely with the Sales team on go-to-market strategies for Data and AI workloads, developing repeatable solution patterns. Balance technical leadership with operational excellence, conducting review meetings to drive technical successes and migration strategies for customers and prospects. Oversee the development of prototypes and proofs-of-concept.

Engage cross-functionally across Google and with partners to address technical challenges and provide valuable field feedback to Product and Engineering teams. Drive strong technical positioning for leading data platforms, lakehouses, and open tables, while enabling the activation of unstructured and multimodal data.

We are seeking individuals with a Bachelor's degree or equivalent practical experience, bringing at least 10 years of experience in cloud-native architecture within customer-facing or support roles. Essential qualifications include proven leadership experience, such as people management, team leadership, mentorship, or coaching.

Candidates should possess experience engaging in technical conversations, delivering compelling demos, developing prototypes, and conducting customer workshops. A strong background in data and AI/ML technologies is crucial for success in this role.

Preferred qualifications include experience influencing cross-functional teams, customers, and partners to achieve business objectives and enhance customer experience. Experience as a pre-sales manager or a technical, customer-facing people manager in professional services or sales engineering is highly valued. Familiarity with data governance, metadata, and semantic layers for AI agents is advantageous. Experience driving adoption of specialized workloads like Cloud AI and Data Analytics with technical decision-makers is also beneficial.