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.
As a Solutions Manager for Google Cloud, you will drive the goal, strategy, and execution of key solution areas to deliver impactful customer outcomes and enable repeatable, low-friction selling. In collaboration with cross-functional stakeholders, including Product, Engineering, Marketing, and Sales, you will develop new initiatives and deliver solutions that accelerate customer adoption and empower field teams to articulate high-value propositions.
You will identify industry trends to address market opportunities with new cloud solutions and use cases, ensuring their technical and commercial readiness. Additionally, you will interface directly with customers to share Google Cloud’s offerings, gather feedback, and adapt strategies as market needs evolve.
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 $183,000-$265,000 + 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
- Analyze customer needs and market opportunity to select and prioritize Google Cloud solutions across our Data pillar.
- Define and validate solutions with an end-to-end focus on technical and commercial readiness to accelerate customer adoption.
- Manage cross-functional collaboration to drive asset development.
- Enable low-friction customer consumption and deliver strong Google field enablement.
- Own and manage the ongoing lifecycle of each solution, including promoting awareness (internal and external, including partners) and evaluating success via measurement of business indicators (e.g. revenue, customer acquisition).
Qualifications
Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 7 years of experience in a customer-facing role in the enterprise technology space.
- Experience with the AI/ML technologies as applied to data: MCP, Toolbox, ML lifecycle concepts, including model training, deployment, MLOps, or responsible AI practices.
- Experience working with cloud-based data infrastructure.
- Experience with the developer side of building applications and databases.
Preferred qualifications:
- Master's degree in Engineering, Computer Science, or related technical fields.
- Experience building AI/ML and data platform products for cloud customers.
- Experience shipping enterprise products to a developer or data science audience.
- Experience working with Google data platforms, including data analytics and databases.
- Experience with generative AI models and the open source community.
- Ability to translate complex technical topics into business-relevant narratives and work cross-functionally with sales, product, and engineering teams.