New job, posted less than a week ago!
Job Details
Posted date: Jul 06, 2026
Location: Seattle, WA
Level: Executive
Description
Manage capacity planning models to allocate scarce, high-value partner FDE resources to Google Cloud’s most high-value, high-stakes customer accounts. Define engagement scoping and staffing models to ensure engineering excellence. Guide partners as they imbed directly with strategic customers to transition complex GenAI projects from rapid prototypes to production-grade deployments. Structure and execute strategic partner alignments that deliver clear commercial value: accelerating AI transformation and ROI for the customer, scaling business and capabilities for the partner, and driving multi-year platform adoption and sustained revenue consumption for Google Cloud. Act as the primary conduit between partner leadership, Google Cloud Sales, Tech Leadership, and internal Cloud AI Product and Engineering teams. Ensure partner-led field insights are synthesized back into Google Cloud AI product roadmap.The Global Partner Network team develops and executes the ecosystem strategy, partner programs, and programmatic go-to-market support for Google Cloud and its partners. Our mission is to accelerate the transition to an agentic ecosystem, leveraging our advanced tools, incentives, and frameworks to connect our field sales teams with a thriving network of services and software partners. Through these technical and business partnerships, we seek to drive programmatic transformation, absolute accountability, and customer multipliers that exceed customer expectations.
As a Partner Manager within the Google Cloud Partnership and Ecosystem organization, you will be responsible for orchestrating, scaling, and managing a strategic ecosystem of specialized AI transformation partners. Your primary mission is to operationalize this boutique partner portfolio, ensuring their specialized FDE resources are deployed effectively to Google Cloud’s most strategic customers. These environments are characterized by complex technical and business architectures, massive scale, and significant value at stake, and require a careful orchestration of one or more partners to meet their needs and maximize ROI from their AI investments.
Bridging deep technical fluency with sharp commercial and strategic acumen, you will forge win-win-win relationships across customer, partner, and Google Cloud. Success means shifting the ecosystem mindset from mere technical validation to building integrated, production-grade AI deployments that solve the "last mile" of integration and drive sustained value for the customer and Google.
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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $272000 - $379000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor's degree in Electrical, Computer Science Engineering or equivalent practical experience. 15 years of experience in partner management, partner go-to-market, or business development at an enterprise software (or cloud) company. Experience with GenAI technology stacks and cloud infrastructure. Experience managing or executing AI/ML technical transformations using an FDE or embedded professional services delivery model.Preferred qualifications: MBA, Master's degree, or PhD in a technical field. Deep proficiency with Google Cloud AI offerings (Vertex AI, Gemini Enterprise, ADK) alongside familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), open-source models, and developer tool harnesses.
Exceptional communication skills with the ability to perform deep "discovery" interviews, translating complex hardware, silicon, and AI software constraints for C-suite leaders and engineering teams alike. Demonstrated success navigating highly ambiguous, complex business environments. Track record of defining engagement models, professional services pricing, or co-sell frameworks that drive platform consumption.