Enterprise AI Go-To-Market Architect, Google Cloud

Minimum qualifications:

• Bachelor's degree in business, computer science, or a related field or equivalent practical experience.
  
• 10 years of experience in a customer-facing role in the enterprise technology space.
  
• Experience with machine learning or artificial intelligence concepts or technology, including developing go-to-market strategies for AI solutions.
  
• Experience engaging with, and presenting to, technical stakeholders and executive leaders.
  
• Experience managing technology projects and campaigns within the AI and cloud domains.
  

Preferred qualifications:

• Experience with AI solutions, such as Generative AI models like AutoML, GANs, and Transformer-based architectures, natural language processing (NLP), and machine learning platforms and tools
• Experience with Google Cloud AI products and services, such as Vertex AI, Cloud Natural Language API, and Cloud Vision API.
  
• Experience in business strategy, business development and translating customer needs into solutions.
  
• Experience with, or understanding of, Google Cloud's technology portfolio.
  
• Experience with Google Cloud's artificial intelligence solutions.
  
• Ability to collaborate effectively across organizational boundaries and ambiguous, matrixed environments while building relationships to achieve business goals.
  

The Google Cloud Enterprise AI GTM Architect is a technical specialist responsible for accelerating AI adoption and Data Analytics consumption in enterprise organizations through successful Cortex AI engagements. The role focuses on collaborating with sales teams, customers, and partners to support Cortex AI customer engagements. The Architect will identify compelling enterprise AI use cases, and develop and execute sales and go-to-market strategies, including targeted approaches for specific customer segments. They will build strong and lasting relationships with customer and partner executives, and deliver customer stories and demos that highlight the solution's impact. Additionally, the Architect will partner with Google Cloud product teams to provide solution feedback, influencing the Cortex AI roadmap and ensuring solutions effectively address market needs.

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.

The US base salary range for this full-time position is $159,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.

• Collaborate across functions to develop and execute comprehensive go-to-market strategies for Google Cloud products and solutions.
  
• Conduct in-depth market research, identify and segment target customer demographics, and craft compelling messaging and content that resonates with those audiences.
  
• Partner with Sales, Professional Services, Engineering, and leadership teams to effectively communicate the unique value proposition of Google Cloud solutions to both internal and external stakeholders.
  
• Engage directly with executive-level decision-makers to demonstrate the tangible benefits of Google Cloud products and how they can address specific business needs and pain points.
  
• Manage multi-channel campaigns to drive solution adoption, and provide feedback to product and solution teams based on market and customer insights to inform product roadmaps and ensure solutions meet evolving customer needs.