Currently tracking 489 active AI roles, up 170% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $98k–$505k (avg $233k).
| Title | Stage | AI score |
|---|---|---|
| Product Manager II, Applied AI, Automotive AI Agent Product Manager for an Automotive AI Agent Platform, focusing on building voice and multimodal interfaces for machine learning systems in the automotive industry. The role involves managing the platform, collaborating with engineering on SDKs for OEMs, understanding customer requirements, defining the roadmap, and bringing new features from research to customers. | Agent | 7 |
| Generative Media AI Lead, EMEA This role leads EMEA sales pursuits for Generative Media (GenMedia) within Google Cloud. The individual will bridge GTM strategy and sales execution, manage a sales team to acquire new customers and generate revenue, and transform C-suite perception of GenMedia. The role requires experience in GTM/Sales, executive-level presentations, and business development in AI or creative technology, with a preference for experience in creative agency operations or media production and understanding of AI/ML in media. |
| 5 |
| Product Manager II, Commerce Safety Product Manager II for Google's Commerce Safety team in Zurich, Switzerland. This role focuses on leading product strategy for detecting and disrupting fraud networks within the Google Shopping ecosystem, streamlining merchant onboarding, and designing abuse prevention strategies. The position requires experience in product management, launching technical products, and specifically working with AI/ML-powered products, risk assessment, and fraud detection. Experience with eCommerce platforms is preferred. | — | 5 |
| Technical Program Manager, Assurance Engineering Technical Program Manager at Google, focusing on advancing privacy, safety, and security strategic goals through technical programs. This role involves managing cross-functional projects, developing TPMs, defining project scope, monitoring key metrics, and promoting best practices. Requires experience in program management, ML/LLM or MLOps, and stakeholder management. | — | 0 |