The Google Cloud training team already develops and delivers Google Cloud Platform product and solution training to thousands of partners, end-users and developers, and has ambitious plans to quickly grow both the range and reach of the training on offer. The training is delivered through a mix of internal trainers and external training partners. As part of this team, your role will be to deliver training to strategic and/or confidential customers/partners and to Google internal teams. You will also be expected to take standard training content and, if required, create more tailored content (e.g., different depths and time-lengths) for different target audiences. You will provide from-the-field feedback on product features and gaps to the engineering teams, and feedback to the content development team on what changes need to be made to the training to ensure it is high impact. A core part of your role will be to evaluate, train, audit and coach other trainers, in particular external trainers. You will work towards continually improving the scale, depth and quality of Google Cloud Platform training.

As an instructor, you will deliver consistently superb training experiences to our learners. In your classes, you will validate the correctness of the materials, set appropriate expectations before and during the class, and ensure learner satisfaction with the scope and depth of what is covered. You will participate in conversations with strategic and/or confidential customers before classes. You will collaborate with the Training Operations team in a number of areas such as updates to class content on the Learning Management System, publishing the class schedules, etc.

Although some of the training will be virtual and could be delivered from your home, you will be expected to travel globally (could be more than 50%, depending on business growth).

Google Cloud helps millions of employees and organizations empower their employees, serve their customers, and build what’s next for their business — all with technology built in the cloud. Our products are engineered for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. And 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.

Responsibilities

  • Deliver superb technical training experiences covering topics such as cloud-based programming (i.e. Python, Java) and data science (i.e. statistics, ETL, machine learning) to diverse audiences (e.g., partners, customers, Googlers, etc.).
  • Participate in training planning conversations with strategic customers, partners, etc. and work on tailoring content for those audiences as required.
  • Evaluate, train, audit and coach other trainers (especially in external training companies).
  • Provide direct field feedback to engineering, product and content development teams.
  • Ensure your training schedules are published and any content updates are recorded as required.

Qualifications

Minimum qualifications:
  • BS degree in Computer Science or related field or equivalent practical experience.
  • 5 years of experience conducting training for a tech company, a company with a technology workforce or a public training provider.
  • Technical experience in programming (Python/Java) and data science (statistics/ETL/machine learning).

Preferred qualifications:
  • Experience providing training to a diverse set of customers, from startups to Fortune 100 companies, and to varied audiences from C-level executives to students in public courses.
  • Experience creating, maintaining and/or delivering content in a fast-moving technology area.
  • Experience mentoring developers adopting new technologies.
  • Acknowledged expert in one or more technologies, as evidenced by invited talks at industry conferences, a high Stack Overflow rating, committer on open-source projects, authoring of magazine articles and books, etc.
  • Ability to work in a fast growing, dynamic and sometimes ambiguous environment.

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