Experienced Enterprise Customer Engineering Manager – Cloud Solutions and Technical Account Management
About the Role
We are seeking an experienced Enterprise Customer Engineering Manager to join our team at Google Cloud. As a key member of our customer-facing organization, you will play a critical role in driving the success of our customers and shaping the future of businesses of all sizes as they leverage technology to connect with customers, employees, and partners.About Google Cloud
Google Cloud is a rapidly growing enterprise that enables customers to transform and build what's next for their business – all with technology built in the cloud. Our products are engineered for security, reliability, and scalability, covering the full stack from infrastructure to applications to devices and hardware. Our teams are committed to supporting our customers – builders, small and large organizations, educational institutions, and government agencies – as they see the benefits of our technology come to life.About the Team
As a member of our entrepreneurial team, you will be part of a fast-paced and dynamic organization that is shaping the future of cloud computing. You will work closely with our sales and customer engineering teams to understand the needs of our customers and develop solutions that meet their business goals. You will also collaborate with our product management, customer support, and engineering teams to solve product issues affecting pre- and post-sales customer satisfaction.Responsibilities
As an Enterprise Customer Engineering Manager, you will be responsible for:- Collaborating with sales and customer engineering management to determine staffing levels, establish job requisitions, and lead interview teams to fill open positions.
- Preparing, training, and equipping the customer engineering team to ensure they are well-prepared to execute in support of annualized business goals.
- Working with Google Cloud sales team management to identify, qualify, and prioritize opportunities for business growth. Participating in periodic opportunity assessment meetings to provide insights on technical success.
- Collaborating with the sales account team, customer support, product management, customer solutions, and engineering to resolve product issues affecting pre- and post-sales customer satisfaction.
- Traveling up to 30% of the time to meet with customers and partners.
Qualifications
To be successful in this role, you will need: Minimal Qualifications:- Bachelor's degree in computer science, mathematics, or a related technical field, or equivalent practical experience.
- 2 years of experience working with a technical team in a cloud computing environment, or a similar customer-facing role.
- Experience building or leveraging machine learning solutions and developing applications using AI frameworks and methods.
- MBA or master's degree in computer science, mathematics, or a related technical field, or equivalent practical experience.
- Experience with conversational AI and building conversational applications.
- Experience with document and vision AI.
- Experience serving in the capacity of a pre-sales, customer-facing discipline engineering manager.
- Ability to craft a compelling message and tailor it for a given target audience. Potential to combine deep technical knowledge with simple, everyday language to provide a story that is memorable and useful.
Skills and Competencies
To succeed in this role, you will need:- Strong technical skills, including experience with cloud computing, machine learning, and AI.
- Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
- Strong problem-solving and analytical skills, with the ability to identify and resolve complex technical issues.
- Ability to travel up to 30% of the time, with flexibility to work in a fast-paced and dynamic environment.
Career Growth Opportunities and Learning Benefits
As a member of our team, you will have opportunities to:- Develop your technical skills and expertise in cloud computing, machine learning, and AI.
- Collaborate with cross-functional teams to drive business growth and customer success.
- Participate in training and development programs to enhance your skills and knowledge.
- Take on new challenges and responsibilities as you grow and develop in your career.
Work Environment and Company Culture
We offer a dynamic and inclusive work environment that is committed to:- Embracing diversity and promoting inclusion.
- Fostering a culture of innovation and experimentation.
- Providing opportunities for growth and development.
- Supporting work-life balance and flexibility.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including:- A base salary range of $154,000-$236,000, depending on experience and location.
- A bonus and equity package that rewards performance and contributions to the business.
- A comprehensive benefits package, including health insurance, retirement savings, and paid time off.
- Access to cutting-edge technology and tools, including Google Cloud products and services.