Product Lead for YouTube Support Systems, focusing on applying AI/ML to optimize support operations and scale innovations. This role involves bridging Product, Operations, and Engineering, managing the operational framework for AI initiatives, and crafting a unified platform strategy.

Research Scientist role focused on quantum computing, specifically system qubit calibration, benchmarking, and modeling, with a strong emphasis on software development and collaboration. The role involves working at the intersection of quantum computing, software, and machine learning to develop protocols and software for controlling and stabilizing quantum processors.

UX Researcher for Google DeepMind's AI products, focusing on early-stage (0 to 1) product development. Responsibilities include designing and executing research studies, understanding user needs for new AI technologies, and influencing product strategy. The role requires comfort with ambiguity and rapid evolution in the AI space.

Senior Software Engineer role focused on systems performance for AR/VR glasses, involving optimization, power saving, and defining quality metrics. The role touches on AI/ML for perception models and the convergence of AI and XR, but the core craft is systems performance engineering.

Software Engineer III for Google Cloud's BigQuery, focusing on enabling data science, data engineering, and AI/ML workflows at scale. The role involves feature design, development, deployment, monitoring, and customer support for BigQuery's capabilities, including running LLMs and creating ML models on large datasets.

Manage a team of Software/Systems Engineers focused on Site Reliability Engineering for AI-powered systems within the Google Shopping domain. The role involves ensuring the scalability, reliability, and performance of AI-driven infrastructure, with a focus on automation and end-to-end service availability.

Manage a team of engineers to build and maintain privacy-focused software infrastructure for Google Search, ensuring compliance with user data handling regulations and developing proactive privacy enhancements. The role involves technical leadership, project management, and cross-functional collaboration to mitigate privacy risks and improve user experience.

This role is a sales specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) offering. The primary focus is on growing the GECX business by building and expanding customer relationships, identifying AI use cases, and partnering with internal sales and product teams to drive adoption of Google Cloud AI solutions for customer experience.

Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on building customer relationships, identifying AI use cases, and driving sales growth within the enterprise sector. This role involves partnering with internal sales teams and customers to leverage Google Cloud AI solutions for customer experience transformation.

Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on building relationships with new and existing customers, identifying AI use cases, and driving business growth. This role involves partnering with internal sales teams and customers to leverage Google Cloud's AI products and solutions for customer experience transformation.

Sales Specialist for Gemini Enterprise for Customer Experience, focusing on growing the business by building relationships with new and existing customers, partnering with internal teams, and assisting customers in identifying AI use cases for Google Cloud AI products and solutions.

Sales Specialist for Google Cloud's Gemini Enterprise for Customer Experience (GECX) business, focusing on building and expanding relationships with new and existing customers. The role involves partnering with internal sales teams and product teams to help customers build new products leveraging AI.

This role is for a Senior Director of Outbound Product Management focused on Generative AI within Google Cloud's Business Platform. The mission is to drive scaling for the Google Cloud business and accelerate digital transformation for organizations by pioneering a Gen AI-first strategy. The role involves crafting the external AI story, guiding the team to build innovative solutions, and creating a reference architecture for enterprise Gen AI adoption. While the role requires technical expertise in AI/ML and Generative AI, its core function is product management and strategy, not direct AI model development or research.

Sales Specialist role focused on growing Google Cloud's AI business by building customer relationships, identifying AI use cases, and demonstrating product functionality. The role involves working with customers to deliver business value and build new products leveraging AI solutions, while collaborating with cross-functional teams and adhering to a responsible AI framework.

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.

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.

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.

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.

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.

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.

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 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.

Senior Quantitative User Experience Researcher for YouTube, focusing on user behavior analysis through logs, surveys, and experiments to inform product roadmaps. Will use generative AI tools to enhance research impact.