Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience designing solutions that maintain or enhance the privacy posture of the organization by analyzing and assessing proposed engineering designs (e.g., product features, infrastructure systems) and influencing stakeholders.
- 2 years of experience applying privacy technologies (e.g., differential privacy, automated access management solutions, etc.), and customizing existing solutions and frameworks to meet organizational needs.
- Experience in machine learning, generative AI, or similar fields.
- Experience with GCP and Vertex AI.
- Experience in Python and/or Go.
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About the job
In this role, you will design and build privacy into Cloud products. You will help Google Cloud Platform (GCP) get our products launched with privacy compliance. You will also help GCP with the launch journey so that the privacy risks to the customer, Google and our products are as well documented and minimized as possible.
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.
The US base salary range for this full-time position is $136,000-$200,000 + 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
- Design, architect and lead implementation of AI/ML privacy-enhancing solutions alongside engineering teams.
- Conduct privacy reviews and impact assessments of high complexity using a variety of tools and evaluation techniques.
- Own and drive the resolution of complex privacy policy and technical issues.
- Help define GCP's privacy strategy and procedures and work cross-functionally to implement these procedures.