Practice Architect, Agentic Data Cloud

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., * 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.

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * 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., * 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).

XIn accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• 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

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, Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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