Product Manager for AI Training Data at Google, responsible for guiding products from concept to launch by connecting technical and business teams. In this role, you will work cross-functionally with DeepMind, Research, and Core teams to understand evolving training data needs and deliver high-quality, compliance-vetted datasets for next-generation models. You will oversee the complete pre-training and post-training data lifecycle, including automated data acquisition, compliance filtering, and semantic dataset discovery, and you will optimize pipelines and build specialized curation systems for key verticals like code and multimodal data. Responsibilities include partnering with research and product teams to surface researcher pain points, data quality gaps, and emerging requirements in multimodal and agentic training datasets, translating requirements into features for data acquisition, trust and safety gating, and data curation systems, and defining, tracking, and optimizing key success metrics for training data volume, processing pipeline velocity, and safety compliance standards. The posting notes that US salary ranges from $138,000 to $197,000 (USD) plus a 15% bonus target, equity, and benefits. This role is on-site in San Jose, California or New York, New York, United States.

Product Manager for AI Training Data at Google, responsible for guiding products from concept to launch by connecting technical and business teams. In this role, you will work cross-functionally with DeepMind, Research, and Core teams to understand evolving training data needs and deliver high-quality, compliance-vetted datasets for next-generation models. You will oversee the complete pre-training and post-training data lifecycle, including automated data acquisition, compliance filtering, and semantic dataset discovery, and you will optimize pipelines and build specialized curation systems for key verticals like code and multimodal data. Responsibilities include partnering with research and product teams to surface researcher pain points, data quality gaps, and emerging requirements in multimodal and agentic training datasets, translating requirements into features for data acquisition, trust and safety gating, and data curation systems, and defining, tracking, and optimizing key success metrics for training data volume, processing pipeline velocity, and safety compliance standards. The posting notes that US salary ranges from $138,000 to $197,000 (USD) plus a 15% bonus target, equity, and benefits. This role is on-site in San Jose, California or New York, New York, United States.