AI Strategy and Operations Tech Lead, Google Cloud

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience in management consulting, strategy, operations, technology, or a similar field.
• 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 experience in client management and relationship-building.

Preferred 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.

About the job

In this role, you will be focused on building and landing Global Artificial Intelligence Go-to-Market strategy. You will work with the product team, salesforce, global and regional operations. In addition to building the upfront Go-to-Market Strategy, you will have an understanding of the end-to-end customer journey and work with sellers to build enablement and solutions. Additionally, you will work with the product team to shape our direction based on customer feedback and with the broader operations organization to ensure all the processes are working together.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.
The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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.

Responsibilities

• Drive executive-level decision-making through deep, scalable, and actionable analytical insights into core business decisions such as prioritization of growth opportunities.
• Deliver insights to the business through analysis of pre and post-sales activities, product-level data, and resource allocation to drive greater efficiency of technical organization.
• Partner with Technical Sales Leadership (Customer Engineers and Forward Deployed Engineers), translating operational cadences into actionable insights and spearheading proactive initiatives that accelerate revenue growth.
• Synthesize and communicate ambiguous and challenging business issues to advise the AI Technical Leadership team.
• Manage territory design, expansion plans and  the rhythm-of-the-business activities such as weekly pipeline reviews, monthly revenue forecasts, staff meetings, Monthly Business Review (MBRs), Quarterly Business Review (QBRs) and other cadences.