Google

Partner Engineer for YouTube, focusing on technical partnerships with content creators. The role involves developing product solutions, identifying and applying AI/ML use cases to improve partner operations and internal workflows, and ensuring technical integrity of partner integrations. Requires experience with client-side web technologies, coding, data pipelines, and preferred experience with Generative AI tools.

This role is for a Senior Technical Program Manager focused on AI data, managing complex projects related to data for AI models. The responsibilities include driving program outcomes, optimizing operational processes, developing tracking frameworks, and utilizing data analysis for improvements. The role requires experience with data structures or ML algorithms, and familiarity with AI/ML lifecycles and data labeling.

Senior Visual Designer for the Gemini in Chrome team, focused on defining the visual language for a new, agentic web experience that integrates AI natively into the browser. The role involves crafting user interfaces for billions of users interacting with AI, from conversational interfaces to autonomous agents, and pioneering the future of human-computer interaction within the browser.

This role focuses on protecting users from offline scams by using data to provide recommendations and devise solutions. It involves applying AI/ML techniques to optimize human review, identify enforcement gaps, and drive automation opportunities. The role collaborates with engineers to develop algorithms and solve quality issues, analyzing large datasets to build predictive models and influence automated detection systems. Responsibilities include leading investigations into abuse vectors, identifying automation opportunities, and responding to adversarial incidents.

Customer Engineer for Google Cloud's Healthcare and Life Sciences sector, focusing on AI/ML solutions. This role involves partnering with technical sales teams to understand customer challenges, develop cloud solutions, conduct proofs-of-concept, and troubleshoot technical issues. The position requires experience with cloud-native architecture, ML model development and deployment, and customer-facing technical engagement.

Customer Engineer for Google Public Sector, focusing on Federal Healthcare. This role involves partnering with technical sales teams to understand customer needs, develop cloud solutions, conduct proofs-of-concept, and troubleshoot technical issues. The role requires expertise in cloud-native architecture, customer engagement, and experience with building custom Generative AI applications and migrating systems to the cloud. It is a customer-facing role with a focus on driving digital transformation for government institutions.

Customer Engineering role focused on architecting and selling Google Cloud AI solutions, including Gemini and Vertex AI, to enterprise clients. The role involves translating business needs into technical roadmaps, leading technical selling strategies, and driving product expansion by leveraging Google's AI stack.

Software Engineer role focused on developing and maintaining the Gemini Enterprise mobile application (iOS and Android) and its backend systems. The role involves contributing to all phases of the SDLC, driving innovation, and leveraging AI to enhance performance. While the product is AI-related (Gemini), the core craft of the role is mobile and backend engineering, not direct AI/ML model development.

Visual Designer for YouTube's AI-powered experiences, focusing on evolving the design system and creating intuitive interfaces for generative AI features. The role involves defining visual identity, creating high-fidelity assets, and ensuring accessibility and ease of navigation for AI-driven features.

This role is for a Sales Operations Senior Associate on the Global Business Consulting team at Google. The primary focus is on analyzing app and game product performance on the Google Play platform to identify growth opportunities. The role involves leveraging internal AI/ML tools for insights, creating strategic recommendations, and partnering with developers. While AI/ML tools are used, the core craft is not building AI models but rather applying insights to business strategy and product growth within the consumer domain.

This role focuses on the engineering and manufacturing aspects of machine learning accelerators, specifically custom silicon solutions like TPUs. While it supports AI/ML capacity deployment and the development of ML systems, the core craft is in hardware engineering, supply chain, and manufacturing operations, not direct AI/ML model development or research. The role involves leading technology assessment, collaborating on product design and manufacturing risks, validating qualification plans, and supporting pre-production builds to ensure product quality and reliability at scale.

Software Engineer III role focused on enhancing Vertex AI Notebooks (Workbench, Colab Enterprise) and building foundational infrastructure for Generative AI agents. The role involves full-stack development, collaborating with cross-functional teams, and working with languages like Java, Golang, Typescript, or Python, with a background in cloud computing, distributed systems, or microservices. The team also works on research topics to maximize scientific and real-world impact in AI.

Sales role focused on driving digital transformation for manufacturing clients using Google Cloud solutions, including AI and machine learning, to achieve business outcomes like improved OEE and production visibility. The role requires experience in complex enterprise sales environments, managing the full business cycle, and building relationships with C-suite stakeholders.

This role is for a Senior Technical Program Manager focused on ML Infrastructure Acceleration at Google. The individual will manage one of the world's largest Machine Learning fleets in the era of AI, ML, and Agents. Responsibilities include managing supply projections for GPU or TPU portfolios, communicating supply status and risks, evaluating acceleration options, and publishing system and tooling requirements to drive automation. The role requires strong program management skills, cross-functional collaboration, and executive-level communication, with a focus on scaling AI and infrastructure capabilities.

This role is for a Technical Program Manager II on the Data and Analytics Services team within Google's Devices and Services organization. The primary focus is on driving business intelligence initiatives, managing data pipelines, and overseeing the delivery of BI dashboards and reports. The role will also involve leveraging GenAI solutions to automate insights and accelerate data-driven decision-making. While the role uses GenAI tools, it does not appear to be directly building or shipping core AI/ML models or agents as its primary function.

This role is a Technical Program Manager focused on the operational aspects of machine learning infrastructure within Google's data centers, specifically concerning capacity planning, server floor deployment, and supply chain management. While the role deals with ML infrastructure, the core responsibilities are in program management, logistics, and operations rather than direct AI/ML model development or research.

Senior Software Engineer on Chrome Identity team, focusing on Android mobile platforms. This role involves technical leadership, design, implementation, and launch of features used by billions of users. The engineer will also utilize AI tools to expedite software development practices and has experience with LLMs, NLP, or Generative AI.

AI Sales Specialist for Google Cloud, focusing on the retail sector. This role involves building customer relationships, demonstrating AI product functionality, identifying use cases, and driving business growth by selling Google's AI solutions. The specialist will work with cross-functional teams and customers to develop go-to-market strategies and close agreements, ensuring responsible AI practices.

This role is for a Software Engineering Manager leading the Continuous Integration and Release (CI&R) team within the Git ecosystem at Google. The team is responsible for CI/CD and artifact management infrastructure, aiming to transform how Google engineers develop software. The manager will set strategy, lead a team, and drive technical direction, with a focus on CI/CD, Git, software supply chain security, and infusing AI/ML to enhance developer velocity and product quality.

Product Manager for Camera and Photos XR Apps, focusing on leading first-person capture and media experiences across Google’s XR devices. The role involves defining how users capture, relive, and share their world through heads-up and hands-free interactions, and building core applications that define user value for XR devices. It emphasizes the convergence of AI and XR to augment human intelligence and create personalized, contextually aware experiences.

Develop and scale Google Cloud's AI partner ecosystem in Brazil by identifying, enabling, and collaborating with AI-focused partners on go-to-market strategies, particularly for Gemini enterprise. This role requires strong partner management, business development, and knowledge of the Brazilian enterprise market and AI/ML technologies.

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.

Senior UX Designer for Google TV, focusing on user-centered design to create intuitive and engaging experiences for home entertainment. This role involves integrating AI into the design process, defining user interactions with TV inputs (voice, gesture, AI), and managing the design lifecycle for the TV OS. The goal is to simplify content discovery and access, leveraging Google's AI and search capabilities to deliver personalized suggestions and transform the TV experience.

Technical Program Manager II for Google Ads, focusing on the Connect Sales CRM platform. This role involves partnering with engineering, product, and UX leads to define and execute roadmaps, understand underlying AI technologies, and drive complex, multi-disciplinary projects from start to finish. The position requires experience with enterprise applications and generative AI, with a focus on product development and cross-functional collaboration within the ads business.

This role is for an Industry Solutions Architect Manager at Google Cloud, leading a team to scale cloud solutions and drive customer success. The focus is on bridging pioneering AI/ML models with enterprise products, managing technical teams, and providing customer feedback to shape product direction. While the company heavily utilizes AI, this specific role is product and customer-facing, not directly building or researching AI models.

This role is for an AI Sales Specialist who will focus on building and expanding customer relationships to drive AI business growth for Google Cloud. The specialist will identify AI use cases, demonstrate product functionality, and work with customers to build new products leveraging AI solutions, while also managing sales cycles and collaborating with internal teams.

Director of Customer Engineering for AI Infrastructure in APAC, leading a team to drive adoption of Google Cloud's AI technology and infrastructure (GPUs, TPUs) by supporting sales, working with customers, and collaborating with product management. The role involves developing strategies, presenting value propositions, identifying industry trends, and ensuring the technical and commercial competitiveness of Google Cloud AI products.

Software Engineer III, ML Networking at Google, focusing on building and optimizing the infrastructure for scaling Large Language Models (LLMs) and other Machine Learning (ML) workloads on GPUs. The role involves analyzing and resolving networking issues, optimizing performance for ML workloads, and contributing to the full stack optimization of ML networking on Google's infrastructure.

This role is for a Staff Software Engineer on the Borglet Infrastructure team within Google Cloud's ML, Systems, & Cloud AI (MSCA) organization. The team develops core pieces of Borglet, Google's node agent for managing user processes, focusing on ML/AI Infrastructure (GPU/TPUs in Borg), Security, Capacity Fungibility, and Warp Space. The role involves designing, implementing, and analyzing computer systems and their interactions with kernel and hardware, collaborating with partner teams, solving ambiguous problems, developing junior engineers, and strategic planning. While the role is within an AI-focused organization and deals with AI infrastructure, the core responsibility is building and managing the underlying infrastructure (Borglet) rather than directly developing or shipping AI models themselves. The role emphasizes large-scale infrastructure and distributed systems.

Senior Program Manager to drive the strategy, operating model, and execution plans for complex cross-functional programs critical to the AI-driven transformation of Google Marketing. This role involves partnering with AI Lab project leads and cross-functional teams to prioritize work, align plans, deliver impact, and graduate AI Lab solutions for scaled adoption.

This role focuses on building and maintaining anti-abuse protections for messaging products, analyzing trends, and implementing solutions to ensure user safety. It involves working with cross-functional teams, productionizing ML models, and advising on counter-abuse strategies.

Software Tech Lead for Google Photos, focusing on client-side, server-side, and machine intelligence aspects. The role involves building and shipping AI-powered features, particularly those leveraging Generative AI and LLMs, within a large-scale consumer product.

Staff Software Engineer role focused on building and scaling compute infrastructure solutions for Google Cloud, specifically for AI/ML workloads, virtual machines, and bare metal solutions. The role involves innovating in virtualized storage, networking, and workload management to ensure the availability, reliability, and performance of infrastructure powering VM instances.

This role focuses on silicon validation for high-volume production and yield optimization. While it leverages AI/ML tools for data analytics and yield improvement, the core function is hardware engineering and manufacturing, not the direct development or research of AI models themselves. The role involves transitioning silicon designs into manufacturing, monitoring yield, performing failure analysis, and collaborating with cross-functional teams to ensure product quality and efficiency.

This role focuses on building and maintaining the system software stack for GPUs, which are critical for powering AI infrastructure and services at Google. While not directly building AI models, the engineer will work on the underlying systems that enable AI computations at scale.

Data Engineer role focused on building and maintaining data pipelines for Google Maps, processing third-party data to develop insights and support product development. Requires experience with geographical data, ML/AI concepts, and programming languages.

This role is focused on the Go-To-Market strategy and commercialization of Google Cloud's Generative Media AI portfolio, including models like Veo and Imagen. The Head of AI GTM will act as a bridge between product/engineering and sales teams, driving API consumption, ecosystem growth, and enterprise adoption across various customer segments. The role requires extensive experience in GTM strategy, product commercialization, and sales within cloud computing or AI, with a focus on the media, entertainment, advertising, or marketing technology sectors.

Technical Program Manager III for Google Home's Gemini team, responsible for managing the software engineering schedule and product deliverables for foundational intelligence capabilities. The role involves working with stakeholders, managing project lifecycles, driving releases, and assessing feature quality. While the role utilizes AI tools and works with generative AI/LLMs, its core function is program management rather than direct AI/ML model development.

This role is a Growth Consultant for AppDev at Google Customer Solutions, focusing on helping app customers in Japan and APAC optimize their user acquisition strategy with Google Ads. The consultant will deliver data science/measurement consulting projects, lead client analysis, develop scripts for automation, and work with sales leadership and cross-functional teams to find new business opportunities. The role involves advising clients on marketing analytics best practices and scaling measurement impact internally. While the role mentions understanding AI principles and machine learning methodologies, its core function is sales and customer consulting, not direct AI/ML model development or research.

This role focuses on the integration of Mixed Signal IP for AI/ML hardware acceleration, specifically TPUs. The engineer will drive IP selection, planning, integration, and validation across the silicon lifecycle, working with cross-functional teams to ensure the performance and power efficiency of these accelerators.

Manage and lead a team of TFM engineers responsible for the physical design flows that power Google's Tensor Processing Unit (TPU) products. This role involves guiding the development, deployment, and support of RTL-to-GDS infrastructure, bridging design engineering and EDA capabilities, and managing priorities to ensure silicon delivery for AI/ML hardware acceleration.

Product Manager for Android Large Screen Core Apps, focusing on defining and driving roadmaps, building foundational experiences, and optimizing core services for large screens. The role involves utilizing generative AI for product opportunities and driving data-informed strategies for user engagement.

Software engineer role focused on data analytics within Google.org, involving system design, technical solutions implementation, testing, and AI strategy evaluation (e.g., prompt engineering) to improve team velocity. Requires 5 years of software development experience and SQL.

This Technical Program Manager role focuses on leading complex, multi-disciplinary projects for Google's Data Center teams, involving data ingestion, visualizations, data warehouse infrastructure, data models, and advanced analytics leveraging ML/AI. The role requires planning requirements, managing schedules, identifying risks, and communicating with cross-functional partners. While the role utilizes ML/AI for advanced analytics and predictive modeling, its core function is program management and data engineering rather than direct AI/ML model development or research.

This role focuses on modernizing compliance operations within Google Public Sector by leveraging generative AI. The Compliance Analyst will design and implement AI-driven solutions to automate workflows, streamline compliance analysis, and transform governance processes. Key responsibilities include accelerating the generation of Authorization to Operate (ATO) artifacts, enabling real-time compliance monitoring, and managing accreditation efforts. The role requires experience with Google-native AI, scripting, and automation tools, as well as a strong understanding of compliance and risk management in a regulated environment.

This role focuses on driving the strategy and execution of AI initiatives within Google's Trust and Safety team, specifically concerning tooling and content policy. The specialist will act as a bridge between policy/operations and engineering, translating needs into technical requirements and vice versa. The role involves using data to diagnose issues, prioritizing engineering resources for automation projects, and contributing to the development of AI-driven infrastructure to improve processes and user safety. While AI technologies are used and their strategy is driven, the core function is product and policy management rather than direct AI model development.

Program Manager for Google Cloud Supply Chain, focused on identifying and implementing AI use cases to improve operations. This role involves translating business needs into technical requirements, driving change management for AI solutions, and collaborating with data scientists and engineers. The position requires experience with AI/ML in supply chain contexts and understanding of generative/agentic AI.