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.

As a Customer Engineer (CE), Cloud Business Intelligence (BI), you will partner with technical sales teams to differentiate Google Cloud to customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs-of-concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will focus on identifying, pursuing, and winning new business workloads.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 $127,000-$184,000 + 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

• Act as the Looker subject matter expert alongside sales teams to differentiate Google Cloud and recommend scalable, trusted data experiences that drive innovation.

• Design and deliver tailored presentations, demonstrations, and technical prototypes that clearly articulate specific use cases and business value to customers.

• Lead technical proof-of-concepts and manage Request for Proposal (RFP) responses, ensuring deep prospect engagement through the effective application of technical knowledge.

• Promote Looker’s value through workshops and demonstrations, effectively communicating architectural concepts to audiences ranging from developers to IT leadership.

• Drive product adoption and productivity via multiple channels, including readiness to travel for on-site customer visits, industry conferences, and workshops.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 6 years of experience with business intelligence solutions.

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

• Experience in data analysis languages (e.g. SQL) and data modeling.

• Experience in demo, prototype, or workshop with customers.

Preferred qualifications

• Master's degree in Computer Science, Engineering, Mathematics, or a technical field.

• Experience working with Large Language Model (LLMs) and designing agentic workflows and multi-agent architectures.

• Experience in managing and delivering successful proof-of-concepts, focused on the customer value provided by the solution and meeting customer needs.

• Experience with Looker portfolio or similar technology, including analyzing data with SQL or Python.

• Experience with advanced data modeling and analytics.

• Excellent leadership and public speaking skills, including experience in creation of blogs and sales field enablement.