Job Description

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.
• 15 years of experience in enterprise cloud, data, or AI architecture and GTM leadership, with experience scaling $1B+ businesses.
• Experience designing and executing global consumption GTM motions, commercial commit, quota models, or specialist plays.
• Experience with architecture across modern data platforms and C-suite engaged agreements.

Preferred qualifications

• Master’s degree in Computer Science, Engineering or Business (MBA), with cloud data architecture experience.
• Experience implementing multi-year GTM operating models for consumption businesses, including organizational design, capacity planning, and incentive structures.
• Experience building enterprise data and AI solutions using BigQuery, Iceberg lakehouses, Spanner, AlloyDB, Knowledge Catalog, and agentic AI.
• Experience applying quantitative analysis, propensity modeling, and pipeline telemetry to support executive resource allocation.
• Experience converting executive narratives, value frameworks, and category positioning into business wins with enterprise buyers.
• Experience in cloud-native architecture (e.g., database administration and solutions, Machine Learning model development and deployment, modernizing legacy applications).

About the job

As a Global GTM Practice Architect for Agentic Data Cloud within Google Cloud, you will bring technical depth, commercial GTM mastery, and a proven track record to drive and scale the Go-To-Market (GTM) motion. Your goal is to own the global strategy and business goals for this business, and support execution in partnership with Sales Specialists, Customer Engineering, and Forward Deployed Engineer (FDE) leaders. You will function at the core of numerous contributing teams and GTM stakeholder organizations, regionally and globally, to drive the design, implementation, and business results of the overall strategy.

As a member of this team, you will showcase technical credibility, executive presence, commercial judgment, and a relentless bias for execution in architecting and landing the right model for Google Cloud’s business objectives and the engaged market landscape. You will engage directly with customers, both whiteboarding and demonstrating Google Cloud’s data and AI architecture, and converting their feedback into product and play adaptations.

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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $224000 - $311000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Define and influence annual and quarterly GTM strategy and planning for Agentic Data Cloud (Data Analytics, Databases, and Knowledge Catalog), shaping organization design, talent and capacity models, account segmentation, commercial incentives, and field priorities.
• Define, design, build, and execute a unified, full-funnel sales motion with cross-functional teams that threads Product, Sales, Customer Engineering (CE), Forward Deployed Engineers (FDEs), Marketing, and the partner ecosystem from pipeline generation through consumption.
• Drive executive alignment and decision-making across a matrixed global organization, partnering with executive leaders across Sales, Technical Field, Product, Engineering, Finance, and Operations to translate strategy into field execution.
• Architect industry and platform-led sales plays, propensity targeting models, commercial offers, and business value frameworks that equip field teams to win engaged workloads and attach data to AI.