Job Description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 7 years of experience in GTM strategy, product management, or management consulting.
- Experience using Generative AI tools (e.g., Large Language Model (LLMs), prompt engineering).
- Experience managing budgets, OpEx, or operational audits.
- Experience driving adoption for technical products and managing stakeholder ecosystems.
Preferred qualifications:
- Proficiency with SQL to independently query adoption metrics and model business impact.
Demonstrated track record of independently building, configuring, or scripting functional prototypes or tools (e.g., using low-code/no-code platforms, Python scripts, API integrations, or AI prompting frameworks) to automate tasks or solve workflow inefficiencies.
- Understanding of centralized governance models and experience operationalizing programs across decentralized teams.
Demonstrated track record of independently building, configuring, or scripting functional prototypes or tools (e.g., using low-code/no-code platforms, Python scripts, API integrations, or AI prompting frameworks) to automate tasks or solve workflow inefficiencies.
Demonstrated track record of independently building, configuring, or scripting functional prototypes or tools (e.g., using low-code/no-code platforms, Python scripts, API integrations, or AI prompting frameworks) to automate tasks or solve workflow inefficiencies.
Demonstrated track record of independently building, configuring, or scripting functional prototypes or tools (e.g., using low-code/no-code platforms, Python scripts, API integrations, or AI prompting frameworks) to automate tasks or solve workflow inefficiencies.
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses grow. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As the Lead, GTM AI Strategy and Ecosystem, you will act as a primary operator within the GTM AI Delivery Office, serving as the connective tissue between technical innovation, operational efficiency, and field adoption.
Your mandate extends beyond enablement as you are an AI-fluent builder and strategist who will identify inefficiencies in the business, design agentic solutions to solve them, and manage the operational excellence required to scale them. You will prototype solutions, audit operational spend (OpEx) to find automation opportunities, and ensure the AI ecosystem operates as a unified machine rather than fragmented point solutions.
You are part Product Manager, Strategy Lead, and Prototyper, capable of translating a messy business problem into a clean AI workflow.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 $183,000-$265,000 + 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 $183,000-$265,000 + 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 GoogleResponsibilities
- Operationalize the central "Hub" functions of the AI strategy by maintaining a centralized Solution Catalog to prevent duplication ("reinventing the wheel") across GTM teams and ensure all agents leverage shared secure infrastructure.
- Act as a strategic consultant for GTM operations, proactively diagnosing areas of friction and assessing them through an AI-native lens.
- Implement the framework for vetting new AI opportunities, ensuring every proposed agent has a defensible business case, clear Return on Investment (ROI), and aligns with the wider GTM strategy before engineering resources are committed.
- Co-ordinate and prioritize the team’s delivery roadmap by balancing field-driven "bottom-up" ideas with "top-down" strategic priorities to build the right tools at the right time.
- Evaluate where agentic capabilities can resolve deep-rooted inefficiencies versus where process changes are required.
