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 |
|---|---|---|
| Forward Deployed Engineer IV, GenAI, Google Cloud Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, and acting as a product catalyst by identifying field patterns and friction points. The role requires shipping production-grade AI-driven solutions, designing and building AI systems on cloud platforms, and leading technical discovery sessions. | AgentServe | 9 |
| Forward Deployed Engineer, GenAI, Google Cloud This role involves building and deploying production-grade generative AI agentic solutions within customer environments on Google Cloud. It focuses on integrating Google's AI products with customer infrastructure, developing evaluation pipelines, and providing feedback to product teams. The role requires experience in applied AI, building systems around pre-trained models, and cloud platform deployment. |
| AgentServe |
| 9 |
| Forward Deployed Engineer II, GenAI, Google Cloud Google Cloud is seeking a Forward Deployed Engineer II to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating Google's AI products with customer infrastructure, addressing production blockers, and providing feedback to the product roadmap. The engineer will also build evaluation pipelines and observability frameworks, and instill best practices with customer teams. | AgentServe | 8 |
| Business Data Scientist, Ads Marketing Analytics (English) This role focuses on designing, developing, and implementing AI-powered agents and automation solutions to enhance efficiency in marketing and ads marketing analytics. The data scientist will leverage machine learning and advanced analytical methods to build analysis pipelines and agentic systems, measure their impact, and communicate insights to stakeholders to drive business growth and optimize marketing campaigns. | Agent | 7 |
| Senior Software Engineer, Full Stack, AI Agents Senior Software Engineer to build AI agents and next-generation UI components for Google's Software Development Life Cycle (SDLC), focusing on agentic orchestration and human-agent interaction within Project Basecamp. | Agent | 7 |
| Account Executive, Consumer Packaged Goods (English) Account Executive for Google's Consumer Packaged Goods advertising solutions, focusing on leveraging AI to drive customer growth and business performance. The role involves building C-level relationships, developing business plans, and providing thought leadership in the CPG sector, utilizing Google's advertising products across Search, YouTube, and more. | — | 5 |
| Business Intelligence Developer (English) This role focuses on Business Intelligence for Google Cloud Finance, involving data modeling, pipeline development, and dashboard creation. While it mentions applied data science, building models, and statistical/ML techniques, the core function is BI and financial reporting infrastructure, not the direct development or deployment of AI/ML models as a primary deliverable. The role aims to enable decision-making through data analysis and automation within a financial context. | — | 5 |
| Business intelligence Manager, YouTube Marketing (English) This role is for a Business Intelligence Manager on the Global YouTube Marketing team. The primary responsibilities include building and maintaining dashboards to measure marketing strategy, ensuring data quality, and enabling data-driven insights for marketing campaigns. The role requires experience in SQL, dashboard design, and client-facing project management, with preferred experience in big data technologies and advanced analytics involving machine learning. | — | 0 |
| Senior Business Intelligence Developer, Google Cloud (English) Develop and implement BI solutions to provide data-driven insights for business decision-making. Responsibilities include defining KPIs, building data infrastructure (SQL, datasets, models, dashboards), transforming data, leading projects, and automating reporting. | — | 0 |
| Cloud Data Engineer (English, Spanish) Google Cloud Platform team member responsible for interacting with stakeholders to translate customer requirements into solution architectures, designing and migrating data storage and processing infrastructure, implementing data migration strategies, and developing data quality and governance procedures. Requires experience with client-side web technologies, programming languages, and troubleshooting technical issues, with preferred experience in data warehousing, big data, machine learning, and building scalable applications. | — | 0 |
| Software Engineer, Dagger, Core Software Engineer role focused on designing, developing, and supporting APIs, tools, and application frameworks for Android developers, specifically within the Dagger dependency injection framework and the first-party Android app framework. The role involves enhancing frameworks with modern Android development tools like Kotlin and Coroutines, implementing static analysis tools for quality improvement, and working with app development teams for integration. | — | 0 |
| Senior Full Stack Software Engineer, Observability Senior Full Stack Software Engineer focused on observability, performance, and reliability of large-scale applications. The role involves developing and enhancing diagnostic analysis and metric monitoring tools, designing full-stack solutions across backend, SQL databases, and Web UIs, and collaborating with core engineering teams to improve critical applications and mobile infrastructure. Requires experience in Java and Kotlin, with a focus on building scalable and developer-friendly client infrastructure. | — | 0 |
| Senior Software Engineer, Dagger, Core Senior Software Engineer role focused on developing and maintaining APIs, tools, and application frameworks for Android developers, specifically within the Dagger dependency injection system and the First-Party Android app framework. Responsibilities include enhancing frameworks with modern Android tools, implementing analysis tools for app quality, and collaborating with app development teams to integrate products and best practices. Requires experience in software development, data structures, algorithms, testing, and software design/architecture. | — | 0 |
| Full Stack Software Engineer, Observability Full Stack Software Engineer focused on improving the performance and reliability of large-scale applications through diagnostic analysis and metric monitoring tools. The role involves designing, developing, and maintaining full-stack solutions including backend servers, SQL databases, Web UIs, and data visualization, with a focus on user analytics and cross-platform debugging. | — | 0 |
| Program Manager II, Cloud Supply Chain and Operations Program Manager II for Google Cloud Supply Chain and Operations, focusing on resource planning, optimization, and delivery within data center infrastructure. The role involves managing cross-functional projects, developing deployment plans, and collaborating with engineering teams to improve efficiency and automation. A key responsibility is developing machine learning enablement across various reconfigurations and fulfillment strategies. | — | 0 |
| Software Engineer, Apple Build Rules Software Engineer at Google focused on maintaining and improving build rules for Apple platforms (iOS, macOS, tvOS, visionOS, watchOS) using Swift. The role involves ensuring ease of development for Apple platforms, investigating new build system requirements, aligning rules with Apple's standards, and architecting future infrastructure. | — | 0 |
| Mobile Software Engineer, Multiplatform, Early Careers Mobile Software Engineer focused on cross-platform development for Google apps, aiming to reduce code duplication, ensure uniformity, and accelerate time-to-market. The role involves building the technical foundation for flagship products and impacting technical decisions across the company. | — | 0 |
| Software Engineer, Compilers, Runtimes and Toolchains, Early Career Software Engineer on the Compilers, Runtimes and Toolchains (CRT) team, developing features in LLVM optimization and code generation to support build scalability, toolchain velocity, peak performance, and safety. The role involves developing changes to tools and processes, and contributing upstream to LLVM. | — | 0 |