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.
As a Customer Engineer (CE), you will seek to accelerate Google Cloud customer success by providing domain-specific technical expertise, while responsibly influencing products and solutions. 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, modernize data architectures for Artificial Intelligence (AI) readiness, 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.
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 in emerging AI/ML technologies, and opportunity coverage to deliver successful cloud and AI transformation outcomes for customers and accelerate business goals.
- Execute the technical goal and strategy for your region’s data analytics and AI practice. Lead the broader region's data-for-AI technical community to ensure sub-regional technical contributions, achieving scale through artifact and innovation sharing across analytics, vector databases, and generative AI patterns.
- Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs regarding data pipelines, governance, and AI infrastructure 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 that unlock business value.
Qualifications
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 role.
- 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), customers, and partners to impact business goals, customer experience, and customer expansion.
- Experience tailoring and delivering compelling messages to audiences, asking strategic questions, and leading conversations that drive business opportunity.
- Experience in Big Data, including analytics warehousing, data processing, data transformation, data governance, data migrations, Extract, Transform, Load (ETL), Extract, Load, Transform (ELT), SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
- Ability to be a thought leader in data analytics and adjacent practice areas, specializing in technical sales and strategizing around customer and industry solutions.