Senior Product Manager, AI Model Safety, Google Cloud AI

• 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.

Minimum qualifications:

• 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.

• 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.