Lead, GTM Applied AI, Google Cloud
Google Cloud
Lead, GTM Applied AI, Google Cloud
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in GTM strategy, product management, or management consulting.
- Experience utilizing Generative AI tools and prompt engineering techniques to automate workflows or solve operational tasks.
- Experience managing adoption for technical products and stakeholder ecosystems.
- Experience managing budgets, operational expenditure, or operational audits.
Preferred qualifications:
- Experience operationalizing programs across decentralized teams.
- Proficiency with SQL to independently query adoption metrics and model business impact.
- Understanding of centralized governance models.
- Ability to prototype custom tools and experiment with emerging technologies to evaluate their functional potential.
About the job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.
The Cloud GTM Applied AI team is the internal AI innovation factory driving transformation within Google Cloud's Go-To-Market (GTM) organization.
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.
You will identify inefficiencies in the business, design agentic solutions to solve them, and manage the operational accuracy required to scale them. You will prototype solutions, audit operational spend (OpEx) to find automation opportunities, and ensure our AI ecosystem operates as a unified machine rather than fragmented point solutions.
You are part Product Manager, part Strategy Lead, and part Prototyper, capable of translating a messy business problems 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 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.
The US base salary range for this full-time position is $147,000-$216,000 + 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
- Be able to operationalize the AI delivery office with an AI-first mindset. Act as a strategic partner to diagnose GTM friction, prioritizing high Return on Investment (ROI) agentic solutions and managing the centralized solution catalog.
- Build proofs-of-concept and validatable prompts. Steward the delivery roadmap, balancing top-down priorities with AI garage concepts.
- Drive cultural transformation to proficiency by authoring playbooks that demystify workflows.
- Partner with marketing to translate operational wins into external 'Google-on-Google' case studies and track tangible business outcomes.
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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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
