Senior Privacy Engineer, Global Business Organization

As a Privacy Engineer, you are a Growth Architect embedded directly within the business to manage end-to-end privacy design for Global Business Organization initiatives. You will identify opportunities within technical and policy reforms to support business growth. By partnering with executive leadership, you will provide technical guidance for business projects, ensuring that Google continues to lead in innovation without compromising on user trust. You will collaborate with product teams to innovate by transforming privacy into technical frameworks.

Responsibilities

• Take full ownership of privacy outcomes for workgroups and technically challenging problems with a year-long time horizon.
• Work alongside engineering and product teams to architect, design, and implement sophisticated technical solutions that promote user agency while ensuring financial and technical feasibility.
• Act as a trusted authority to resolve high-impact policy/product conflicts, finding innovative technical paths that mitigate risk while enabling new product features and business scale.
• Lead cross-functional groups to improve privacy respectfulness and represent the team’s posture in broader Product Area (PA)-level discussions and escalations.
• Utilize comprehensive knowledge of near-future privacy principles and technical reforms to provide mentorship to adjacent engineers and foster consistency across the organization.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience working in a privacy related field (e.g., security engineering, data engineering, data scientist, compliance engineering etc.).
• 1 year of experience designing solutions for technological issues that maintain the privacy posture of the organization, and managing teams across multiple workstreams.
• 1 year of experience leading the application of privacy technologies (e.g., differential privacy, automated access management solutions, etc.) to solve technical and data management issues, customizing existing solutions and frameworks to meet user needs.

Preferred qualifications:

• Experience with AI/ML privacy, including model privacy, data minimization in training sets, or synthetic data generation.
• Experience advocating for privacy as an engaged business advantage and a driver for growth.
• Experience mentoring and influencing technical roadmaps for organizations or multiple business units.
• Ability to resolve high-stakes policy/product conflicts by communicating technical risks to both technical and non-technical executive stakeholders.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.