Google Workspace Customer Engineer, Mid-Market Enterprise, 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

• Learn more about benefits at Google .
• Work on identifying and qualifying business opportunities, key customer technical objections, and developing strategy to resolve technical blockers.
• Share Google Workspace expertise to support the technical relationship with Google’s customers and partners, including product and solution briefings, proof-of-concept work, and the coordination and prioritization of solutions impacting customer adoption of Google Workspace.
• Take responsibility for the technical aspect of RFPs/RFIs.
• Architect solutions that leverage Google Workspace and Gemini Enterprise to automate complex, end-to-end customer workflows.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure needed to successfully implement a complete solution using best practices on Google Workspace.
• Educate partners and customers on leveraging agentic capabilities using Google Workspace and Gemini Enterprise including integrations with third-party data sources.
• Lead discussions that connect business goals to technical decisions.

Requirements

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud-native architecture in a customer-facing or support role.
• Experience working on power applications and productivity software.
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Ability to travel up to 50% of the time.

Qualifications

• Bachelor's degree in Computer Science, AI-related technical field, or equivalent practical experience.
• Experience in technical cloud ecosystems on enterprise productivity solutions and with related solutions (e.g., Messaging, Productivity applications, Identity Management, Endpoint Management).
• Experience in designing, building, or implementing agentic AI solutions to automate business processes.
• Knowledge of Agentic AI platforms (including Gemini Enterprise), its features, engaged differentiation, and the integration of enterprise-wide data sources and third-party connectors.

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

$127,000 - $184,000 (USD) + 42.86% bonus target + equity + benefits

Schedule

Not specified