Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Cambridge, ON, Canada; Chicago, IL, USA; Addison, TX, USA; Miami, FL, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Sunnyvale, CA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience in a customer-facing role in the enterprise technology space.
- Experience working with managed AI platforms.
- Experience with ML lifecycle concepts, including model training, deployment, MLOps, or responsible AI practices.
- Experience working with cloud-based ML infrastructure.
Preferred qualifications:
- Master's degree in Computer Science, related engineering field, or equivalent work experience in a software/systems engineering or lead position.
- Experience shipping enterprise products to a developer or data science audience.
- Experience with generative AI models and the open source community.
- Experience building AI/ML platform products for cloud customers.
- Ability to translate technical topics into business-relevant narratives and work cross-functionally with sales, product, and engineering teams.
About the job
As a Solutions Manager for Google Cloud, you will bring your experience and thought leadership to help drive direction, mission, and strategy around key solution areas. The goals of the solution management function are to deliver impactful, customer-relevant business outcomes and enable repeatable, low-friction solutions-based selling. You will develop new solution initiatives and deliver the materials to support them in collaboration with a broad, cross-functional group of stakeholders, including Strategic Industries, Product Management and Engineering, Marketing, and Sales. In this role, you will be accountable to deliver solutions that accelerate customer adoption and improve the effectiveness of field sales to articulate solution-based value propositions to customers.
You will showcase thought leadership and strong technical chops by identifying and incorporating industry trends in Cloud computing to recommend, plan for, and address core market opportunities with new Cloud solutions and use cases. You will partner with key cross-functional stakeholders to ensure the technical and commercial readiness of these solutions, including availability of the assets required to enable the go-to-market teams. You will interface directly with customers, both helping them to understand Google Cloud’s solution offerings and gathering their feedback. Finally, you will recommend ways to adapt as the market and customer needs change.
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 $202,000-$284,000 + 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 Vertex pillar. Vertex AI is Google Cloud’s Platform for Data Scientists and Machine Learning Engineers, to develop and deploy custom AI/ML applications.
- Define and validate solutions with a focus on technical and commercial readiness to accelerate customer adoption.
- Manage cross-functional collaboration to drive asset development (BOM)-GTM.
- Enable low-friction customer consumption and deliver strong Google field enablement.
- Own and manage the ongoing life-cycle of each solution, including promoting awareness (internal and external, including partners) and evaluating of success via measurement of business indicators (e.g. business, customer acquisition).
