About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

Specialist Customer Engineers seek to accelerate Google Cloud customer success by providing domain-specific technical expertise, while responsibly influencing products and solutions.

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 impediments.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $192,000-$267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Lead a team of technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development, and opportunity coverage to deliver successful cloud transformation outcomes for customers and accelerate business goals.

• Execute the technical outlook and strategy for your region’s data analytics practice. Lead the broader region's data analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.

• Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.

• Lead technical engagements with strategic customers, working with cross-functional peers to plan customer engagements.

• Travel up to 25% to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 10 years of experience with cloud native architecture in a customer-facing or support role.

• Experience in pre-sales or field engineering at an enterprise technology company, or similar customer facing experience.

• Experience engaging with, and presenting to, technical stakeholders and executive leaders.

• Experience in pre-sales management or people management on a data analytics-related or technical team.

• Experience with data analytics technologies or concepts, cloud, and on-premise technologies.

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 in, or supporting, the Telco, Media, and Entertainment, and Gaming industry or clients.

• Experience in "Big Data," including analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

• Experience as a thought leader in data analytics and adjacent practice areas, specialized in technical sales and strategizing around holistic customer and industry solutions.