Customer Engineer III, Applied AI, Google Cloud

About the role

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.

Responsibilities

• Serve as a trusted advisor to prospective and existing customers, explaining technical features and designing cloud-based architectures.
• Provide technical guidance on integrating AI solutions with existing enterprise data stacks and third-party stacks such as CRM, etc.
• Lead the rapid development of Proof-of-Concepts (PoCs) and Minimum Viable Products (MVPs), demonstrating the practical application of Google Cloud solutions, troubleshoot technical roadblocks, and recommend integration strategies for end-to-end Google Cloud solutions.
• Collaborate with product management to prioritize solutions that drive customer adoption and share in-depth AI expertise through product briefings and technology advocacy.
• Present the business value of Applied AI solutions to executive leaders and represent Google Cloud at conferences and industry events.

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience with designing cloud-native enterprise-grade technical architecture in customer-facing or support roles.
• 1 year of experience with Conversational AI technologies, including designing conversational flows/agents and operating Speech-to-Text, Text-to-Speech (STT/TTS).
• Experience building or leveraging AI solutions, ML APIs, prompting, agent tooling, eval frameworks, and modern AI frameworks, and embedding into demos.
• Experience engaging with and presenting to both technical stakeholders and executive leadership.

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Pay & Schedule

• US: $174,000 - $253,000 (USD) + 20% bonus target + equity + benefits