Customer Engineer II, 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
- Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve any potential roadblocks.
- Share in-depth artificial intelligence (AI) 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.
- Demonstrate the business value of Google Cloud applied artificial intelligence solutions that meet, enhance, and innovate for our enterprise customers.
- Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
- Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
Requirements
- Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- 2 years of experience with conversational AI technology.
- Experience building or leveraging artificial intelligence solutions or ML APIs and developing applications utilizing AI methods or frameworks.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience with development methodologies and modernizing legacy applications.
Qualifications
- Experience with contact center technologies and platforms and building conversational applications.
- Experience with building and using AI (e.g., ML APIs, Machine Learning templates, RAG, LLMs).
- Experience in coding using Java, C++, or Python.
- Experience with document and image AI.
- Passion for technology and innovation.
Skills
- Excellent technical, communication, and organizational skills.
Benefits
- Health, dental, vision, life, disability insurance
- Retail 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
US: $148000 - $215000 (USD) + 15% bonus target + equity + benefits
Schedule
Flexible schedule to accommodate travel and remote work options.