Senior Director, Engineering, Safeguards, Cloud AI

Google LLC; Sunnyvale (CA); On-site; USD 364,000 - 505,000; Full time

Benefits offered by this job

40% bonus target

Equity

Benefits

Job summary

Google LLC is seeking a Senior Director of Cloud AI Safeguards Engineering to lead strategy, design, development, and operations of Safeguards for the Cloud AI portfolio including Vertex AI and Gemini Enterprise. You will bridge advanced AI engineering with robust safety systems and drive scalable, secure solutions across geographies.

The role requires strong leadership, with experience building teams that deliver impact while navigating evolving threats and model capabilities.

Qualifications

• Bachelor's in CS or equivalent practical experience.
• 20 years of professional experience in engineering leadership or related technical roles.
• 10 years of experience in AI/ML with focus on safety systems.

Responsibilities

• Define and execute the technical strategy for Cloud AI Safeguards.
• Set vision for AI, products, and safety systems across multiple products.
• Maintain high standards for code quality, reliability, and metrics.
• Oversee secure, multi-tenant cloud systems for AI workloads.
• Recruit and develop engineering leaders and technical contributors.

Skills

Engineering leadership

AI/ML leadership

Education

Bachelor's in CS or equivalent

Master's in CS or related field

Job description

corporate_fare Google place Sunnyvale, CA, USA bar_chart Director+

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 20 years of professional experience in engineering leadership or related technical roles.
• 10 years of experience in AI and machine learning, with a focus on developing and deploying AI-powered Safety systems.
• Experience managing an engineering organization across multiple geographies and product portfolios.

Preferred qualifications:

• Master's degree in Computer Science or related field.
• Experience building teams with excellent culture and developing leaders who have independently delivered impact.
• Strong understanding of complex products, build threat models, and building system level safety.
• Demonstrated ability to make risk based trade-offs.
• Proven track record of successfully building defenses for complex platforms.

About the job

Within the Cloud AI organization, we focus on building highly differentiated, highly scalable, and easy-to-use products and services that enable our customers to transform their business with AI. Products such as Vertex AI and Gemini Enterprise comprise a portfolio that spans the needs of Developers, Data Scientists, Operation specialists in a broad range of industries. We not only provide customers with state-of-the-art models, such as Gemini, but also full Agent platforms and applications with strong security and governance.

As the Senior Director of Cloud AI Safeguards Engineering you will lead the strategic direction, design, development, and operational execution of Safeguards for Cloud AI product portfolio. This role requires a technical leader who bridges complex AI engineering, state of the art Safeguards systems with disciplined business execution.

The ideal applicant establishes strong engineering practices to navigate rapidly evolving products and adversaries, and builds flexible and scalable safety systems to handle the challenges.

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.

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

About the job

Within the Cloud AI organization, we focus on building highly differentiated, highly scalable, and easy-to-use products and services that enable our customers to transform their business with AI. Products such as Vertex AI and Gemini Enterprise comprise a portfolio that spans the needs of Developers, Data Scientists, Operation specialists in a broad range of industries. We not only provide customers with state-of-the-art models, such as Gemini, but also full Agent platforms and applications with strong security and governance.

As the Senior Director of Cloud AI Safeguards Engineering you will lead the strategic direction, design, development, and operational execution of Safeguards for Cloud AI product portfolio. This role requires a technical leader who bridges complex AI engineering, state of the art Safeguards systems with disciplined business execution.

The ideal applicant establishes strong engineering practices to navigate rapidly evolving products and adversaries, and builds flexible and scalable safety systems to handle the challenges.

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.

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

US: $364000 - $505000 (USD) + 40% bonus target + equity + benefits

• Define and execute the technical strategy for the Cloud AI Safeguards engineering organization, ensuring alignment with broader Cloud AI products.
• Setting a vision in AI, products, and safety systems, while navigating changes to model capability, usage across many products, and determined adversaries. Innovation is a key need to stay on the frontier of safety.
• Maintain high standards for code quality, system reliability, and operational metrics in a fast-paced environment. Drive clarity via goals, roles, and responsibilities for your team and partner teams.
• Oversee the architecture and deployment of secure, resilient, and multi-tenant cloud systems designed to sustain demanding AI workloads.
• Recruit, retain, and develop a team of engineering leaders and technical contributors, establishing clear pathways for career growth and accountability. Set a culture of continuous improvement via feedback and self reflection within your team.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.