Privacy Engineering Manager — Global Ads & Strategy

Google

Mountain View (CA)

On-site

USD 207,000 - 300,000

Full time

19 hours ago
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Benefits offered by this job

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Job summary

Google is seeking a Privacy Engineering Manager in Mountain View to lead the GBO PWG and shape privacy strategy for the ads business. You will oversee a high-performing team, drive regulatory compliance, and partner with cross-functional leaders to align privacy with business growth.

You will communicate risk to executive stakeholders, mentor engineers, and explore AI/ML-enabled privacy tooling to streamline reviews while safeguarding user trust and enabling scale across global partnerships.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 7 years of privacy-related experience in security/data roles.
  • 2 years of experience leading and mentoring a team with company-wide impact.
  • 2 years of experience managing resources and prioritizing work to fit org needs.

Responsibilities

  • Lead the team responsible for developing, shaping, and maintaining our privacy program on behalf of GBO, coordinating across partnerships, sales and support teams globally.
  • Partner with teams across GBO to develop privacy safe designs and complete launch reviews to ensure compliance with privacy policies.
  • Partner with executive leadership to launch and scale strategic initiatives, providing data-driven insights and executive-ready updates on urgent business-impacting issues.
  • Identify opportunities to optimize GBO's PWG operations by integrating AI/ML tools directly into the review lifecycle.

Skills

Leadership
Privacy engineering
Stakeholder management
Resource planning

Education

Bachelor's degree or equivalent practical experience
MBA or graduate degree

Job description

Google is seeking a Privacy Engineering Manager in Mountain View to lead the GBO PWG and shape privacy strategy for the ads business. You will oversee a high-performing team, drive regulatory compliance, and partner with cross-functional leaders to align privacy with business growth.

You will communicate risk to executive stakeholders, mentor engineers, and explore AI/ML-enabled privacy tooling to streamline reviews while safeguarding user trust and enabling scale across global partnerships.

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