Google

Staff Software Engineer on the YouTube Data Science team, responsible for influencing product and engineering leadership through data science. The role involves developing projects, collaborating across teams, and using AI tools like Gemini to support data-driven initiatives. Key responsibilities include aligning teams, managing project priorities, designing and deploying software solutions, and supporting data engineering needs.

This role is for a Hardware System Architect for Google's Pixel Watch, focusing on defining and implementing the hardware architecture for wearable products to enable ambient and edge computing applications. The architect will ensure subsystems meet performance, power, and cost goals, and will analyze data processing paths and associated hardware, silicon, and software solutions. The role involves collaboration with internal teams and external partners, and investigating emerging technologies for future products. While the role touches on AI/ML for on-device processing and AI accelerators, its core focus is hardware system architecture for consumer electronics, not AI model development.

This role focuses on developing and managing content strategy for user support across various channels, including AI-driven tools and agent knowledge bases. The Content Strategist will ensure the creation and delivery of accurate, high-quality content, collaborate with stakeholders, and monitor content performance. A key aspect involves working with AI-enabled content creation tools, providing feedback for their improvement, and staying updated on best practices for AI consumption of information.

Google is seeking a Senior Technical Program Manager for its Search Intelligence group, focusing on AI Quality for next-generation AI experiences in Search. The role involves leading high-priority programs, driving collaboration, applying technical judgment to navigate trade-offs, and streamlining operational processes. The ideal candidate will have a strong background in program management and machine learning/AI, with experience in quality evaluation and R&D components.

This role focuses on designing and delivering reward programs for AI talent at Google DeepMind. While the company is a leading AI lab and the role involves advising on AI talent strategy and using AI tools, the core function is HR/Reward, not building AI models or systems.

This role focuses on managing and scaling solutions for the Google Play Store, utilizing human insights and machine learning. The core responsibilities involve designing and owning human computation tasks for data labeling, collaborating with cross-functional teams to launch features, and ensuring the quality and reliability of data streams that feed into ML models and product decisions. The role emphasizes data quality, operational improvements, and staying updated on data labeling methods, including LLM-first solutions.

This role supports the finance team for Google's AI Cloud products. The analyst will partner with engineering, TI, and PM to analyze the performance and TCO of AI product SKUs, forecast customer demand and profitability, and develop cost insights for new product introductions. The role requires experience in financial planning and analysis, with a preference for knowledge of Google's technical infrastructure and AI/ML economics.

Product Manager for Gemini in Chrome, focused on driving user growth and adoption of an AI-powered browsing assistant. This role involves owning the top-of-funnel experience, acquisition, and onboarding, working at the intersection of product, growth marketing, and data science to scale user engagement and conversion for AI features within Chrome.

Software Engineer role focused on the Google Ads budgeting system, involving data analysis, algorithm development (including ML-based techniques), and large-scale system design and implementation in C++. The role aims to improve the efficacy of core budgeting systems.

This role focuses on policy development and recommendations for Generative AI products within Google's Trust & Safety team. The Product Policy Lead will collaborate with product managers and engineers to influence product decisions, drive research in the multimodal Generative AI space, and set industry standards. They will also provide updates to executives and partner with Deepmind on model-level policies. The role requires experience in policy, legal, or trust and safety environments, with a focus on AI-related policy issues.

This role is for a Senior Technical Program Manager on the Finance Data and Analytics team at Google. The primary focus is on defining and executing a multi-year data strategy to enable the AI-driven transformation of Google's Finance organization. Responsibilities include leading programs for data standards, lineage, integration of financial systems, data warehousing, and BI enablement, with a strong emphasis on technical judgment for data modeling and architecture choices. The role requires extensive experience in program management, data modeling, SQL, ETL/ELT, and data warehousing, with a preference for experience in finance domains and regulatory compliance.

Machine Learning Engineer focused on compiler optimization for hardware design, leveraging ML infrastructure to improve semiconductor development velocity and quality within Google's internal tools.

This role focuses on security and compliance engineering within a large organization that develops and supports multiple products, including specialized Machine Learning (ML) applications. The engineer will lead the transition to an AI-Driven development lifecycle, ensuring security for agent platforms and developer tools, and acting as a technical authority for cross-product security strategy and risk mitigation.

This role is in Strategy and Operations for Google Cloud Applied AI, focusing on Gemini Enterprise and agentic AI solutions for enterprise operations. The role involves managing business cadences, customer engagements, and communications strategy to drive adoption and impact. It is not a hands-on AI/ML development role but supports AI product delivery.

Staff Software Engineer role focused on designing and deploying network infrastructure that supports AI/ML growth and applications. The role involves end-to-end planning, design, and deployment of network transformation, with a focus on software infrastructure for traffic demand, capacity planning, cost optimization, and automated deployment. Responsibilities include leading technical direction, driving software design, analyzing AI/ML applications, and improving development velocity. Requires experience in large-scale infrastructure, distributed systems, networks, software design, and computational modeling techniques like integer and linear programming.

Solutions Architect for Google Cloud, focusing on the Data Cloud portfolio (Databases, Big Query, Looker) and Vertex AI. The role involves working with customers and internal teams to design and present technical solutions, create technical collateral, and provide customer feedback to Product and Engineering. Requires experience with data pipelines, warehousing, SQL/NoSQL, Python/Java, and Google Cloud's Vertex Platform, with preferred experience in architecting unified Data and AI/ML platforms for Generative AI.

Google is seeking a Staff Software Engineer to work on Woodshed, an AI/ML Storage system that provides exabyte-scale foundation for all ML workloads at Google, aiming to accelerate ML training and inferences and simplify ML data management. The role involves technical leadership, project management, and collaboration with infrastructure and client teams to guide integrations for high-impact projects.

This role focuses on building and maintaining a high-performance telemetry infrastructure to support demanding workloads, including LLM training. The engineer will write product/system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. While the role supports AI workloads, its core craft is infrastructure and telemetry, not direct AI/ML model development.

Product Manager for Google Search, focusing on Sports and Entertainment verticals. Responsibilities include defining features and roadmaps, assessing model quality through evaluations, partnering with stakeholders, and utilizing AI for personal productivity and prototyping.

This role focuses on guiding Public Sector customers in developing, configuring, and deploying their data and AI solutions on Google Cloud Platform. It involves providing architecture guidance, supporting ML model development and deployment, and ensuring optimal data pipeline performance. The role requires strong data engineering skills, experience with relational databases and object-oriented programming, and the ability to translate business requirements into technical solutions.

Customer Engineer for Google Public Sector focusing on national security, partnering with technical sales teams to understand customer needs, develop cloud solutions, and troubleshoot technical issues. This role involves working with Assured Workloads, Google Distributed Cloud, and Cloud AI to ensure secure data processing and analysis for sensitive government data. Responsibilities include building go-to-market solutions, owning technical relationships with partners, providing integration strategy recommendations, and performing work with specialized equipment in Google Distributed Cloud environments. Requires experience with air-gapped deployments, classified systems, and generative AI capabilities, along with a Top Secret/SCI security clearance.

Senior Staff Software Engineer, Front End, Google Workspace. This role focuses on the technical direction and architecture of web and mobile applications for Google Workspace products like Gmail, Docs, and Drive. The engineer will define and drive technical goals for new features, lead design and architecture, provide technical leadership and mentorship, and collaborate with cross-functional teams. While the role is not directly building AI models, it is at the forefront of integrating AI into productivity tools and will work closely with AI model builders.

Staff Software Engineer for Cloud SQL, MySQL, focusing on integrating agentic AI to enhance customer backend management. Responsibilities include architectural design, roadmap contribution, and technical leadership within the MySQL community and Google Cloud Platform.

This role focuses on content design for Google Search's generative AI experiences, shaping conversational response strategies and ensuring high-quality, trustworthy AI responses. The role involves leading content design efforts, defining principles for AI responses, and developing evaluation methods. While it works with AI models, the core craft is content design and product strategy, not direct AI/ML model development.

This role is for a Software Engineering Manager at Google, leading a team that builds internal and external tooling for sales, marketing, and service teams within the Global Business Organization (GBO). The team will architect and develop web applications and services on Google infrastructure, integrating core technologies including Gemini for agentic features. The role involves technical leadership, people management, defining technical goals, and driving strategic execution of a new platform. While AI (Gemini) is mentioned as an integration point, the core focus is on building tooling and applications, not on developing AI models or core AI infrastructure.

This role is for a Senior Software Engineer on the Google Workspace team, focusing on infrastructure. While the team works with AI models built by Google DeepMind and aims to integrate AI into productivity tools like Gmail and Docs, the core responsibility of this role is software engineering for infrastructure, not direct AI/ML model development or research. The role involves designing, developing, testing, and maintaining software solutions that support these AI-enhanced products.

Customer Engineer role focused on AI infrastructure and accelerators within Google Cloud, helping enterprise clients integrate and optimize AI/ML models. Responsibilities include advising on cloud strategy, demonstrating product differentiation, building reusable assets, and influencing product roadmaps. Requires strong cloud infrastructure experience and experience building/operationalizing ML models, with preferred experience in training large models and performance profiling.

Customer Engineer III for Google Cloud's Healthcare and Life Sciences (HCLS) sector. This role partners with technical sales teams to serve as the customer's primary technical advisor, understanding business issues, troubleshooting, conducting proofs of concept, and architecting cross-pillar cloud solutions. The focus is on driving technical wins and defining delivery/consumption plans, blending sales expertise with technical engagement to prove the value of Google Cloud.

Product Manager for YouTube GenAI Creation Experiences, focusing on integrating generative AI tools to empower creators and lower the barriers to content creation.

This role is for a Senior Technical Program Manager on the AI Data team at Google. The primary focus is on managing complex projects related to data for AI models, spanning training, testing, evaluation, and adaptation. The role involves working with engineering and product management to define requirements, manage schedules, identify risks, and communicate with stakeholders. While the role touches on AI/ML services, the core function is program management, not direct AI/ML development.

This role focuses on ensuring the quality and reliability of Google's GPU-based AI hardware infrastructure within their Cloud offerings. The Product Quality Engineer will lead quality initiatives, collaborate with manufacturing partners, develop predictive failure models, and drive issue resolution throughout the product lifecycle, from concept to End-of-Life. While the role supports AI infrastructure, the core craft is hardware quality engineering, not direct AI/ML model development.

This role is for a Software Engineer III on the Google Workspace Infrastructure team, focusing on building AI-powered productivity tools for the future of work. The engineer will write product or system development code, participate in design reviews, review code, contribute to documentation, and triage/debug system issues. The role involves working with AI model builders and impacting billions of users by enhancing products like Gmail, Docs, and Meet with AI capabilities such as pre-computed summaries and AI avatar-generated videos.

Product Manager for Google Shopping Graph, focusing on enabling AI shopping experiences and autonomous agents by delivering foundational platform solutions. The role involves driving AI-native strategies and capabilities into product features, connecting technical and business worlds, and guiding products from conception to launch.

Product Counsel specializing in AI regulatory matters, advising research and product teams on responsible AI development and deployment, and collaborating with legal, policy, and compliance teams on emerging laws and regulations. The role involves using AI tools to enhance work and ensuring safety and ethics are prioritized.

Customer Engineer III for Google Public Sector, focusing on technical sales and architecting Google Cloud solutions for state and local government and education clients. Responsibilities include developing technical account plans, demonstrating Google Cloud value through demos and pilots, architecting cross-pillar solutions, and facilitating post-sales transitions. Requires experience with cloud-native architecture, customer-facing roles, and cloud infrastructure engineering. Preferred qualifications include experience with public sector clients, migrations, security, networking, and generative AI tools.

Manage a team of Software Engineers to build and scale video infrastructure for Google Meet, focusing on AI-driven productivity features. This role involves technical leadership, people management, and contributing to product strategy for AI-enhanced tools.

This role is for a Technical Product Support Manager for Gemini App at Google. The primary focus is on supporting product launches, gathering user insights, and collaborating with cross-functional teams to ensure product-market fit and advance scaled support strategies. While the role involves AI-driven automation and supporting an AI product (Gemini), the core responsibilities are product support, strategy, and user advocacy, rather than direct AI/ML model development or research.

Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (CX) business, focusing on growing relationships with new and existing customers, identifying AI use cases, and driving business value. This role involves partnering with internal sales teams and customers to understand needs and help them build new products leveraging Google Cloud AI.

Product role focused on enhancing external advertiser tools and internal tools for sellers and customers within Google Ads, with a focus on AI tooling and strategy.

Software Engineering Manager for Google's Global Networking Technology team, focusing on leading teams, managing large-scale projects, and contributing to product strategy. The role involves optimizing code, managing engineers, and overseeing the deployment of large-scale projects. The AI and Infrastructure team aims to deliver AI and Infrastructure at scale, supporting Google's AI models and global services.

This role is for a Research Data Scientist on the YouTube Gaming Discovery team, focusing on helping gamers find content and playable mini-games within the YouTube app. The role involves collaborating with stakeholders, designing and evaluating models, and using data infrastructure to solve product or business problems. It requires experience with analytics, coding, and querying databases, with a preference for machine learning and recommender systems.

Software Engineer III at Google Beam, focusing on real-time ML-based 3D human capture and rendering for live 3D experiences. The role involves developing scalable software regression frameworks, automated release test infrastructure, and Hardware-in-the-Loop (HILT) testing for Google Beam's communication technology.

This role focuses on developing and implementing strategies to enforce YouTube policies at scale, leveraging Machine Learning and Large Language Models (LLMs) for abuse prevention and detection. The analyst will collaborate with engineering, product, and policy teams, provide incident response, and design prompts for LLMs to improve content identification and classification.

Google is seeking an Engineering Manager for their Switch Stack Software team. This role involves technical leadership, people management, and contributing to the development and maintenance of high-quality, high-availability, high-performance switch operation systems deployed in Google data centers. The team's work directly supports the growth of AI initiatives like Gemini and Google Cloud business, and involves shaping the future of global networks by engaging with both hardware and software aspects of networking infrastructure.

This role focuses on enabling agentic development within the Search Ads domain by identifying and resolving infrastructure hurdles, creating new agentic workflows, and providing guidance and support to development teams. The role involves leading a virtual team and collaborating with various infrastructure and DevAI groups.

This role is for a Senior Staff Software Engineer on the Google Cloud Run Serverless platform team. The primary focus is on providing technical leadership and overseeing the architectural strategy for core back-end services, with an emphasis on the data plane to support evolving AI workloads and agents. The role involves influencing and coaching engineers, driving operational excellence, and collaborating with leadership on long-term goals for stack modernization and platform sustainability. While the role supports AI workloads, it is not directly building AI models or agents, but rather the underlying infrastructure.

Staff Software Engineer, Full Stack for Google One, a subscription service that combines cloud storage with AI features. The role involves technical leadership, roadmap definition, architecture, and contributing to AI business generation goals by prototyping and launching new subscription experiences.

Customer Engineer III for Google Cloud in the federal public sector, focusing on technical sales support, solution architecture, and customer engagement. The role involves understanding customer needs, demonstrating Google Cloud capabilities, and addressing technical challenges, with a specific requirement for experience in designing and deploying solutions that integrate generative AI and knowledge of cloud compliance requirements like FedRAMP and CMMC.