Senior Product Manager, AI Model Safety, Google Cloud AI

Google Inc.; Sunnyvale (CA); On-site; USD 192,000 - 278,000; Full time

Job summary

Google Inc. is seeking a Senior Product Manager for AI Model Safety to lead safety strategy, roadmap, and execution across AI models on Google Cloud Platform.

You will bridge technical and business worlds, guiding complex safety architectures and coordinating with engineering, policy, and trust teams to ensure compliant, scalable AI services. You will define end-to-end safety frameworks, from prompt filtering to human review, while collaborating with model providers and enterprise customers.

Qualifications

• Bachelor’s degree in a technical field or equivalent practical experience.
• 8 years of experience in product management or equivalent technical leadership in cloud platforms, developer APIs, or ML infrastructure.
• 3 years of experience taking technical products from conception to launch.
• Experience in Trust and Safety, AI safety, content moderation, platform abuse mitigation, or enterprise cloud security and compliance.
• Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

• Define and drive the multi-year product strategy for AI model safety across Google Cloud’s MaaS and Agent Platform ecosystems.
• Present low-latency, scalable safety capabilities for AI model inference, including real-time prompt/response filtering and abuse detection.
• Build enterprise-grade safety controls enabling custom threshold policies, BYOG, and telemetry without sacrificing inference performance.
• Partner with AI model providers to align safety standards, co-develop roadmaps and establish SLAs.
• Coordinate across Engineering, Trust and Safety, Legal, Policy, and Research to architect automated abuse triage and regulatory escalation.

Skills

Outcome ownership

Decision making

Ambiguity handling

Stakeholder influence

Domain expertise

PM experience (8+ yrs)

Product launch experience (3+ yrs)

Trust & Safety

Generative AI integration

Partner management

Low-latency inference

AI safety architectures

Education

Bachelor’s degree in CS/EE/Math or related field

MBA or Master’s in CS/AI (preferred)

Tools

Google Cloud Platform

Job description

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corporate_fare Google place Sunnyvale, CA, USA

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

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• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, a related technical field, or equivalent practical experience.
• 8 years of experience in product management or equivalent technical leadership experience in cloud platforms, developer APIs, or machine learning infrastructure.
• 3 years of experience taking technical products from conception to launch.
• Experience in Trust and Safety, AI safety, content moderation, platform abuse mitigation, or enterprise cloud security and compliance.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Preferred qualifications:

• MBA or Master’s degree in Computer Science, AI/ML, or a related technical or policy discipline.
• 5 years of product management experience shipping large-scale, high-availability developer platforms or AI/ML inference infrastructure.
• Experience with Generative AI safety architectures (e.g., LLM input/output moderation, perceptual hashing, RLHF).
• Experience managing third-party partner relationships, commercial co-development contracts, and joint technical roadmaps.
• Experience with high-throughput and low-latency inference systems, distributed service architectures, and latency-budget trade-offs.

About the job

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As a Senior Product Manager for AI Model Safety, you will lead the product strategy, roadmap, and execution for trust, safety, and abuse prevention across AI models served on Google Cloud Agent Platform. You will sit at the critical intersection of cutting-edge generative AI infrastructure, multi-tenant enterprise requirements, leading AI model providers, and Google’s rigorous Trust and Safety standards. You will define end-to-end safety architectures from sub-millisecond synchronous input/output guardrails and automated abuse detection to human review and regulatory compliance reporting.

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

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

As a Senior Product Manager for AI Model Safety, you will lead the product strategy, roadmap, and execution for trust, safety, and abuse prevention across AI models served on Google Cloud Agent Platform. You will sit at the critical intersection of cutting-edge generative AI infrastructure, multi-tenant enterprise requirements, leading AI model providers, and Google’s rigorous Trust and Safety standards. You will define end-to-end safety architectures from sub-millisecond synchronous input/output guardrails and automated abuse detection to human review and regulatory compliance reporting.

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

• Define and drive the multi-year product strategy for AI model serving safety across Google Cloud’s Model-as-a-Service (MaaS) and Agent Platform ecosystems.
• Present low-latency, scalable safety capabilities for AI model inference, including real-time prompt/response filtering and abuse detection.
• Build enterprise-grade safety controls enabling custom threshold policies, Bring-Your-Own-Guardrails (BYOG), and telemetry without sacrificing inference performance.
• Partner with AI model providers to align safety standards, co-develop shared responsibility matrices, and establish SLAs.
• Orchestrate alignment across Engineering, Trust and Safety, Legal, Policy, and Research teams to architect automated abuse triage and manage regulatory escalation pipelines.

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.