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.
Requirements
- 6 years of experience with cloud native architecture in a customer-facing or support role.
- Experience with frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.) and using machine learning APIs.
- Experience with Machine Learning model development and deployment.
- Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks).
- Experience in architecting and developing software or infrastructure for scalable, distributed systems.
- Experience in data and information management as it relates to big data trends and issues within businesses.
- Ability to learn quickly, understand, and work with new emerging technologies, methodologies, and solutions in the cloud/IT technology space.
Responsibilities
- Partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers.
- Help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business isues, engage in proofs of concept, and troubleshoot any technical questions and roadblocks.
- Use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.
- Partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply your impact and the impact of the team as a whole.
- Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
- Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
- Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
Other
- Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
- San Francisco, CA, USA; Atlanta, GA, USA; Austin, TX, USA; New York, NY, USA; Seattle, WA, USA; Sunnyvale, CA, USA
- Bachelor's degree or equivalent practical experience.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Master's degree in Computer Science, Engineering, Mathematics, a technical field, or equivalent practical experience.
