As a Customer Engineering (CE) Manager, you will lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical blockers. You will foster a culture of technical excellence and understand the mechanics of architecture, delivery, and consumption within your specialized domain and Google Cloud’s products and solutions.
It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.
Responsibilities
- Lead a team of AI Customer Engineers and Forward Deployed 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 technologies or concepts.
- Experience with technical conversations, demos, prototyping, or workshops with customers.
- Experience driving the adoption of specialized workloads (e.g., Cloud AI, Data Analytics) with technical decision makers.
Preferred qualifications:
- 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 as a pre-sales manager or technical customer-facing people manager within a professional services or sales engineering team.
- Experience tailoring and delivering compelling messages by audience, asking strategic questions, and leading conversations that accelerate value realization and business opportunity.
- Thought leader in AI and adjacent practice areas, specialized in technical sales and strategizing around holistic customer and industry solutions.