Post Name Sales Specialist Date August 23, 2023 Short Info. As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate the innovative power of our products to make organizations more productive, collaborative, and mobile.
Google Recruitment 2023 Overview
| Company Name | |
| Post Name | Sales Specialist |
| Job Type | Full Time Job |
| Experience | 0 to 2 years |
| Function/Business Area | IT Company |
| Location | India |
| Category | Sales |
| Official Website | |
| Salary | UPTo 3.0LPA + Incentives |
About Google Company
As a member of the Google Cloud team, you inspire leading companies, schools, and government agencies to work smarter with Google tools like Google Workspace, Search, and Chrome. You advocate the innovative power of our products to make organizations more productive, collaborative, and mobile. Your guiding light is doing what’s right for the customer, you will meet customers exactly where they are at and provide them the best solutions for innovation. Using your passion for Google products, you help spread the magic of Google to organizations around the world.
Why You Should Join
- Work on Edge TPU variants for building scalable machine learning accelerators for multiple customers across Alphabet (Pixel, Data center, etc.).
- Build compilers and tools that maps TensorFlow and other ML models on the hardware ISA, as well as multi-ML model applications.
- Optimize compilation results as well as the compiler itself.
- Collaborate with machine learning researchers to constantly improve the domain-specific compiler.
- Collaborate with hardware engineers to evolve future accelerators.
Education Requirement
- Bachelor’s degree or equivalent practical experience.
- Experience in a SaaS, full-cycle, and goal-carrying sales role.
- Experience in conveying technical principles using a consulting approach.
Skills and Requirements
- Experience meeting and exceeding strategic sales goals in the technology industry with SaaS, PaaS, or IaaS products.
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Knowledge of Cloud Data Analytics stack (e.g., Hadoop/Spark Data Lakes, SQL Data Warehouses, Data Streaming, ETL, Data Governance, Business Intelligence, Predictive Analytics, OLAP, Data Science Framework, BigQuery, Looker, etc).
- Ability to translate business insights into technology at executive-level and act as a thought leader in data analytics topics.