Technical Curriculum Developer III, Cloud Learning Services
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Minimum qualifications:
- Bachelor's degree in Computer Science, Mathematics, or Information Architecture, or equivalent practical experience.
- 5 years of experience in Cloud Data or related discipline.
- 2 years of experience as a technical instructor or in technical training curriculum development.
- 2 years of experience with cloud computing technologies.
Preferred qualifications:
- Associate or professional certification in Cloud ML Engineer or Cloud Architect.
- Experience creating and managing learning by collaborating with highly technical subject matter experts and managers to develop training content and curricula.
- Experience coding in Python, using data science libraries (e.g., NumPy, Pandas, etc.) and creating Jupyter notebooks.
- Experience building and managing ML pipelines.
- Excellent communication, writing, and editing skills within learning content, including effectively explaining technical topics to novice or non-technical audiences.
- Ability to collaborate with highly technical subject matter experts and stakeholders to develop training content and curricula.
About the job
Our PeopleDev team works hard to ensure every Googler has access to the resources they need to become their best personal and professional selves. We leverage tools, technology, and innovative formats to scale learning and support Googlers at all stages of their careers — from Noogler Orientation, to manager training, to leadership development, and more. We have four key beliefs about learning — that it is personal, social, a process, and happens in real life — and we infuse these beliefs throughout the wide array of learning and development opportunities at Google. As a PeopleDev team member, you'll always be thinking about new ways to help others grow, and you share a passion for empowering Googlers to unlock their full potential.
In this role, you will design, develop, and maintain technical learning content and curricula for various cloud roles. These roles include ML Engineers, Data Scientists, Data Engineers, and Developers. You will translate technical content into effective learning content and curricula. You will have an understanding of cloud computing technologies, learning and development tools and principles instructional design.
You will use your experience working as a Technical Curriculum Developer in ML/AI or as an ML Engineer or Data Scientist. You will enjoy keeping your technical skills and be empowered to maintain your technology leadership in our learning organization.
The US base salary range for this full-time position is $129,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.Responsibilities
- Design and develop creative, learner-centered training content for on-demand, instructor-led, and blended training. Build associated assets including, labs, videos, facilitator guides, and other resources.
- Analyze Google Cloud Data solutions and products such as BigQuery, Dataflow, Dataproc, Dataplex, Cloud Composer, Cloud Spanner and understanding their role in enabling Generative AI in order to develop effective training for our customers.
- Collaborate effectively with Engineers, Portfolio Managers, and other partners to support initiatives.
- Ensure and drive best practices standardization across all projects, content, and curricula.
- Perform needs and task analysis, scope projects, and evaluate existing documentation to identify the most appropriate training approach and content to meet the learning needs of each audience across global audiences.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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