Aartificial intelligence, API, Big Data Technology, Customer Support, Data Governance, ETL/ELT technologies, Machine learning techniques, PaaS
Minimum qualifications:
Preferred qualifications:
About the job
In this role, you will deliver what is helpful for the customer. You will assist fellow Googlers by problem-solving the technical issues for our customers. You will liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google cloud products.
You will work with Technical teams to differentiate and communicate the growth of Google cloud to our clients. You will help prospective customers and partners understand the Google Cloud explaining technical features, helping customers design architectures, engaging in proof-of-concepts, and troubleshooting potential issues. You will also travel to customer sites, conferences, and other events.
The US base salary range for this full-time position is $142,000-$214,000 + 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.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
Google LLC is a multinational technology company headquartered in the United States that specializes in various fields, including search engine technology, cloud computing, online advertising, quantum computing, e-commerce, computer software, artificial intelligence, and consumer electronics. With its market dominance, data collection, and technological advancements in AI.
Sydney NSW, Australia
2-4 year
Waterloo, ON, Canada
2-4 year
Waterloo, ON, Canada
2-4 year