AI Strategy and Operations Tech Lead, Google Cloud

About the role

The Cloud AI Tech Go-To-Market team is focused on building and executing our Global AI GTM strategy. In this role, you will help drive the growth of this team and business globally.

Responsibilities

• Cook up the global AI Tech Go-To-Market rhythm of business activities, including business reviews, resource allocation, workload reviews, and forecast calls.
• Partner with regional AI Sales Specialists, FDE, AI CE, and finance teams to provide inputs into global Cloud AI forecast/review cycles.
• Operationalize the AI Tech Go-To-Market team globally by driving the stand-up of key systems, R&R maps, processes, and tools to support business scaling.
• Collaborate with regional peers on AI Tech Go-To-Market planning activities, including blueprint development, metric setting, and territory design.
• Deliver actionable insights and data-driven requirements to influence executive decision-making and advise the AI Go-To-Market Tech team.

Requirements

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in sales operations, professional services, technology consulting, finance or product/program management.
• Experience creating reports using SQL and other problem-solving tools to present findings and recommendations.
• Experience in business planning, forecasting, and storytelling through data to facilitate conversations with executive leadership.
• Experience as a trusted advisor to executive stakeholders and in client management and relationship-building.

Qualifications

• Experience in strategic planning, consulting, investment banking, or similar data-driven business roles.
• Experience with SQL and other database, scripting, or business intelligence tools.
• Excellent analytical skills, combined with business judgment and ability to influence business leadership.
• Excellent communication skills, with the ability to construct simple and impactful messages from complex analysis.

Skills

• Strong analytical and problem-solving skills.
• Ability to work effectively with cross-functional teams.
• Proficiency in SQL and other data analysis tools.
• Experience with business planning and forecasting.
• Excellent communication and presentation skills.

Benefits

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $186000 - $270000 (USD) + 20% bonus target + equity + benefits

Pay

US: $186000 - $270000 (USD) + 20% bonus target + equity + benefits

Schedule

Not specified