Senior Technical Program Manager, Cloud AI, Security and Compliance

Google's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.

Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.

Join our Cloud AI team and shape the future of AI development.

As a Technical Program Manager (TPM) for Security and Compliance, you will guide the delivery of AI security, compliance, data privacy, and regulatory initiatives for Generative AI products. You will partner with product managers, engineers, legal/compliance teams, and leadership to define security roadmaps, prioritize compliance features, implement regulatory controls, and drive complex AI security projects to successful release.

In this role, you will navigate a changing environment where your technical depth, security expertise, and program management directly influence Google’s AI security and compliance strategy. If you are passionate about data privacy and compliance in AI, skilled at managing complex security programs, and ready to go deep technically on threat modeling, regulatory frameworks, and risk mitigation, we want to hear from you.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

• Navigate organizational complexity as an innovative thinker with exceptional problem-solving skills and deep domain knowledge to lead GenAI security and compliance efforts, spanning data privacy, regulatory frameworks, security standards, and risk management.
  
• Manage security and compliance programs with technical and product understanding, applying program management expertise to GenAI contexts while providing thought leadership on Artificial Intelligence (AI) security standards and risk management.
  
• Manage end-to-end life cycles of AI security and compliance initiatives, from requirement gathering, threat modeling to risk assessment, audit readiness, and security control.
  
• Partner with engineering, compliance, legal, and product teams to define workstreams, risk mitigation plans, and compliance certification milestones. Drive alignment on industry standards across all stakeholders.
  
• Provide clear project status updates to leadership and partners. Advocate for security practices, compliance evaluation methodologies, and KPIs for risk mitigation and regulatory readiness.

Minimum qualifications:

• Bachelor's degree in a technical field, or equivalent practical experience.
  
• 8 years of experience in program management.
  
• Experience with AI/Cloud security principles, compliance frameworks (e.g., SOC 2, ISO 27001, FedRAMP, GDPR), data protection, and security architecture in Large Language Models (LLMs) and Generative AI release cycles.
• Experience establishing and tracking KPIs for security posture, audit readiness, compliance coverage, and risk mitigation effectiveness.
• Experience with AI principles and translating security policy, legal, and regulatory requirements into technical strategies and engineering solutions.

Preferred qualifications:

• 8 years of experience managing cross-functional or cross-team projects.
• Experience managing enterprise customer security and compliance expectations and establishing best practices for secure AI deployment in enterprise environments.
• Experience working with AI security posture management, data privacy controls, threat modeling, vulnerability assessments, and AI regulatory compliance frameworks.
• Exceptional stakeholder management skills, with the ability to influence cross-functional engineering, policy, and research teams without direct authority.
• Demonstrated track record of managing security and compliance work streams, mitigating emerging AI risks, and driving alignment across rapidly evolving regulatory landscapes.