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Job Details
Posted date: Apr 02, 2026
Location: Kirkland, WA
Level: Director
Estimated salary: $268,000
Range: $224,000 - $312,000
Description
Drive technical discussions and workshops to get quality business opportunities, and understand partner technical objectives and capabilities. Recommend integration/build strategies using the best of Google Cloud to unlock cross-industry AI use cases for customers. Be proficient in conversational AI and customer experience architectures with the ability to advise Global System Integrators (GSIs), Business Process Outsourcers (BPOs), and CCaaS/CRM partners on building and deploying enterprise-grade generative AI solutions for customer service. Coordinate and influence a range of stakeholders across Google to align around workstreams and roadmaps, and provide partner insights to help land AI portfolio product and grow adoption. Align partner solutions with core Customer Experience (CX) business metrics to accelerate agreement velocity and drive partner services business alongside underlying cloud consumption. Work closely with partners to develop Go-to-Market (GTM) strategy for AI solutions.In this role, you will advise partners on building AI practices and prioritizing AI workloads. You will work closely with product leadership to advise on partner ecosystem activation for each stage of the business life cycle, from pre-General Availability (pre-GA) to launch and scale.
You will work closely with Partner Development Managers, product/engineering teams, and various partner-enabling roles at Google. Your experience and technical knowledge of Google Cloud will be instrumental as you build and grow relationships within all levels of System Integrator (SI) and Independent Software Vendor (ISV) partners, including Chief Technology Officers (CTOs) and heads of product and engineering. You will demonstrate thought leadership by representing Google and our partners at public events to drive successful product launches and adoption.
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 $224,000-$312,000 + 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.
Qualifications
Minimum qualifications: Bachelor's degree or equivalent practical experience.15 years of experience in customer or partner facing technical roles such as solutions architect, customer or partner engineer, or similar in a cloud computing environment. Experience with generative AI, data analytics products, technologies, and cloud infrastructure. Experience with large language models (LLMs), open source, big data and machine learning.
Preferred qualifications: Experience in building data and AI solutions using Google Cloud products and services (e.g., Vertex AI, BigQuery). Experience with leading large technical data analytics and AI/ML programs with partners. Understanding of AI models, Large Language Models (LLMs), and specialized infrastructure, including industry trends and issues within businesses and the engaged landscape. Ability to quickly learn and understand emerging technologies and solutions. Ability to form working relationships across technical and business functions across multiple companies, specifically in technology and service partnerships. Excellent public speaking and presentation skills.
Extended Qualifications
Bachelor's degree or equivalent practical experience.15 years of experience in customer or partner facing technical roles such as solutions architect, customer or partner engineer, or similar in a cloud computing environment. Experience with generative AI, data analytics products, technologies, and cloud infrastructure. Experience with large language models (LLMs), open source, big data and machine learning.