Customer Engineering Manager, Cloud AI, Financial Services, Google Cloud

• Lead a team of Cloud AI Customer Engineers, focusing on team culture, talent strategy, and skills development to deliver successful cloud transformations for customers and accelerate value realization.
• Foster customer partnership and provide thought leadership related to cloud, transformation, and highly specialized technical solutions in your practice to drive technical wins.
• Partner with Sales to define technical go-to-market strategies and delivery plans, focusing on advanced workload adoption and repeatable solution development.
• Balance technical leadership with operational excellence; lead workload and opportunity review meetings and provide insight into how to achieve technical wins and migration strategy, working directly with customers, partners, and prospects. Oversee domain-specific prototyping and proofs-of-concept.
• Work cross-functionally across Google, partners, and your team to resolve technical roadblocks, and provide critical feedback loops to Product and Engineering based on field experience.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Leadership experience (e.g., people management, team lead, mentorship, coaching).
• Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), machine learning, or integrating models into autonomous workflows via advanced API prompting or RAG.
• Experience with technical conversations, demos, prototyping, or workshops with customers.

Preferred qualifications:

• Master's degree in Computer Science, Engineering, Mathematics, or a technical field.
• Experience supporting Financial Services customers.
• Experience as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team.
• Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales, Marketing, Partner), customers, and partners to impact business goals, customer experience, and customer expansion.
• Experience tailoring and delivering compelling messages by audience, asking questions, and leading conversations that accelerate value realization and business opportunity.

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Leadership experience (e.g., people management, team lead, mentorship, coaching).
• Experience with AI agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen), agentic design patterns (e.g., tool-use, multi-agent collaboration), machine learning, or integrating models into autonomous workflows via advanced API prompting or RAG.
• Experience with technical conversations, demos, prototyping, or workshops with customers.