Lead, GTM Enterprise AI Transformation, Google Cloud

The application window will be open until at least June 16, 2026. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA . 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. 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. The US base salary range for this full‑time position is $183,000–$265,000 plus bonus, equity, and 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. Responsibilities 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. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr Google