Customer Developer, AI Infrastructure, Google Cloud

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 5 years of experience with cloud infrastructure.
• Experience building and operationalizing machine learning models.
• Experience in delivering technical presentations while leading detailed discovery and planning sessions that are aligned jointly with the customer with defined scope and success criteria.

Preferred qualifications:

• Experience training and fine tuning large models (i.e., image, language, segmentation, recommendation, genomics) with accelerators.
• Experience with containerization, K8s, Kubernetes on cloud.
• Experience with running MLPerf benchmarks.
• Experience with performance profiling tools (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard).
• Experience designing infrastructure farms for specialist AI use cases.
• Ability to engage with C-level or executive business leaders and influence decisions.

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and developing teams to stay on top of industry trends and devise enhancements to Google Cloud products.

In this role, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve business challenges, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal 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. You will be a part of a diverse team of Googlers working in an environment of respect and inclusion where equal opportunities to success is promoted.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.

Responsibilities

• Be a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy by recommending migration paths, integration strategies, and application architecture that incorporate Google Cloud AI optimized infrastructure.
• Demonstrate how Google Cloud is differentiated, highlighting the power of accelerators by working with customers on POCs, demonstrating features, optimizing model performance, profiling, and bench-marking.
• Build repeatable assets to enable other customers and internal teams.
• Influence Google Cloud strategy at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
• Travel to customer sites and events as needed.