Strategic Partner Development Manager, AI Pureplay

About the job

As the Strategic Partner Development Manager, AI Pureplay, you will drive the recruitment strategy of new partners into the portfolio and accelerate their adoption of Google Cloud services. You will work across Google Cloud’s Product Management, Engineering, Marketing, and customer-facing organizations to foster strong executive alignment with these partners, develop a co-innovation plan for new solutions and orchestrate the co-sell motion between Google Cloud and the partners’ sales organizations.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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $224000 - $312000 (USD) + 25% bonus target + equity + benefits

Learn more about [benefits at Google](https://www.google.com/about/careers/applications/benefits/).

Responsibilities

• Coordinate day-to-day operations of capacity planning models to match scarce, high-value partner Forward Deployed Engineer (FDE) resources with high-stakes customer accounts, track engagement pipelines, manage staffing models, and monitor delivery milestones to safeguard co-sell and delivery excellence.
• Support partner teams as they embed directly within enterprise accounts, helping them navigate complex customer environments and successfully bridge multi-agent orchestration with legacy corporate databases and hybrid architectures.
• Drive the ground-level execution of commercial structures that accelerate time-to-value and Return on Investment (ROI) for the customer, scale business for the partner, and maximize platform consumption for Google Cloud.
• Act as a critical touchpoint between partner engineers, Google Cloud Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal Cloud AI Product and Engineering teams.