Applied AI and Commercial Operations Specialist

Google LLC; Atlanta (GA); On-site; USD 186,000 - 269,000; Full time

Benefits offered by this job

Health, dental, vision, life, and more

401(k) with company match

Paid time off: 20 days/year

Sick time: 40 hours/year

Maternity and Baby Bonding leaves

13 paid holidays

Job summary

Google LLC in Atlanta, Seattle, and additional US locations seeks an Applied AI and Commercial Operations Specialist. You will lead AI-driven operations, build AI agents, and analyze data to influence large-scale infrastructure decisions across GTM and capacity planning.

The role blends engineering and business insight, working with senior stakeholders to automate workflows and optimize compute, storage, and AI chip utilization. Competitive benefits apply.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience.
• 8 years of experience in data analysis.
• Experience with Agentic programming or application development.
• Experience in data analytics tools and languages, including advanced SQL, BigQuery, Looker, or similar.
• Experience in cloud infrastructure, including IaaS compute, storage, and networking products.

Responsibilities

• Own projects across Agentic tools engineering, demand forecasting, capacity planning, and performance management.
• Develop implementation roadmaps and execute AI tooling and automation initiatives.
• Design custom agent frameworks and integrate with GTM and capacity systems.

Skills

Data analysis

Agentic programming

Application development

Advanced SQL

BigQuery

Looker

Education

Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience

Tools

SQL

BigQuery

Looker

Job description

Applied AI and Commercial Operations Specialist

Share Applied AI and Commercial Operations Specialist

Google Atlanta, GA, USA ; Seattle, WA, USA ; +4 more

X Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

This role may also be located in our Playa Vista, CA campus.

In 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

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Seattle, WA, USA; San Francisco, CA, USA; Los Angeles, CA, USA; Sunnyvale, CA, USA; New York, NY, USA.

• Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience.


• 8 years of experience in data analysis.


• Experience with Agentic programming or application development.


• Experience in data analytics tools and languages, including advanced SQL, BigQuery, Looker, or similar.


• Experience in cloud infrastructure, including IaaS compute, storage, and networking products.

Preferred qualifications:

• Master’s degree or PhD in a quantitative field such as Engineering, Statistics, Business, or Mathematics.


• Experience building and deploying AI Agents or LLM-based applications in a production environment.


• Deep understanding of data center capacity planning concepts, including AI chip types (GPU/TPU) and hardware-level metrics.


• Demonstrated ability to build consensus across teams and manage competing interests across senior stakeholders; presenting and leading executive reviews.


• Demonstrated ability to operate in an unstructured environment and bring clarity through structured platforms and automated systems.

About the job

As a Cloud Infra & AI Agent Specialist, you will be at the forefront of integrating artificial intelligence into our core operational and analytical frameworks. You will own projects across four key pillars: Agentic tools engineering, demand forecasting, capacity planning, and performance management. You will embed yourself in the core operations of the business, identify the most impactful areas for AI tooling and automation, develop an implementation roadmap, and then execute. You will design custom agent frameworks, integrate them with GTM and capacity systems, and build workflow automation engines.

This role requires a blend of technical engineering and strategic business analysis to evaluate large datasets and systematize processes across the entire GTM organization and to do so leveraging AI tools and agents. You will work closely with leadership to provide actionable insights that influence multi-billion dollar infrastructure decisions, ensuring our supply of compute, storage, and AI chips perfectly aligns with customer demand and Gemini model usage.

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.

About the job

As a Cloud Infra & AI Agent Specialist, you will be at the forefront of integrating artificial intelligence into our core operational and analytical frameworks. You will own projects across four key pillars: Agentic tools engineering, demand forecasting, capacity planning, and performance management. You will embed yourself in the core operations of the business, identify the most impactful areas for AI tooling and automation, develop an implementation roadmap, and then execute. You will design custom agent frameworks, integrate them with GTM and capacity systems, and build workflow automation engines.

This role requires a blend of technical engineering and strategic business analysis to evaluate large datasets and systematize processes across the entire GTM organization and to do so leveraging AI tools and agents. You will work closely with leadership to provide actionable insights that influence multi-billion dollar infrastructure decisions, ensuring our supply of compute, storage, and AI chips perfectly aligns with customer demand and Gemini model usage.

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: $186000 - $269000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

• Architect, build, and deploy custom Agentic solutions to streamline complex operations and manual regional workflows.


• Partner with capacity planning to design, implement, and operate capacity allocations forums for Compute (CPU), Storage, and AI Chips (TPU/GPU), automating and scaling global signaling processes.
  


• Evaluate, audit, and optimize complex cross-functional GTM systems by embedding autonomous intelligence models and feedback loops directly into core infrastructure decision-making.
  


• Leverage first class machine learning and AI tools to automate demand forecasting. Use customer consumption & pipeline data to seize demand and make procurement decisions against those signals.
  


• Build and scale robust performance management systems and database platforms to track revenue-based metrics across data center revenue, sales regions, and demand forecasting.

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 also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.