Customer Engineer III, AI/ML, Google Cloud

About the position

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. In this role, you will partner with technical business teams as an enterprise cloud subject matter expert to differentiate Google Cloud to customers. You will help prospective and existing customers and partners understand the power of Google Cloud. You will develop creative cloud solutions and architectures to solve business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your knowledge and presentation skills to engage with customers to understand business and technical requirements, and present practical and useful solutions on Google Cloud. You will also be experienced with cloud application architectures, networking, microservices, and container orchestrators. 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

• Work with the team to identify and qualify business opportunities related, understand key customer objections, and develop the strategy to resolve technical blockers, in relation to aspects of the data life-cycle.
• Share in-depth data analytics expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Prepare and deliver sales messaging in an effort to highlight the Google Cloud value proposition, using techniques such as whiteboard and slide presentations, product demonstrations, white papers and Request for Information responses.

Requirements

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.

Nice-to-haves

• Experience in technical sales or consulting in cloud computing, data analytics, or Big Data.
• Experience with developing data warehousing, data lakes, batch /real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
• Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
• Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.

Benefits

• The US base salary range for this full-time position is $147,000-$218,000 + bonus + equity + benefits.
• Our salary ranges are determined by role, level, and location.
• Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.