Responsible for the Home feed, personalized recommendations, Watch Next, and other features which drive the majority of the total time that users spend watching YouTube, optimizing the end-to-end discovery journey.
Work closely with UX and Engineering stakeholders to define a strategy and roadmap for experiences that improve content discovery and recommendations on YouTube, including through AI-enabled features like prompt-backed custom feeds.
Drive YouTube watch time, visits or satisfaction through roadmap execution, including the internationalization of custom feeds.
Partner with teams across the company to help different format/vertical teams achieve their goals while respecting overall Discovery/Homepage design and user principles.
Communicate product strategy and roadmaps across the organization to build alignment for long-term investments and priorities.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: AI/ML systems and algorithmic recommendations
Join the AI Accelerator team to drive AI transformation for YouTube Business Go-To-Market (GTM) operations, operating as a high-velocity, horizontal transformation engine at the intersection of consulting, product strategy, applied AI, and systems engineering.
Partner with stakeholders to co-create tool roadmaps, translating ambiguous business problems into tangible software solutions that enable YouTube's operations.
Iterate GenAI proof-of-concepts (LLMs, RAG, agentic frameworks) into production-grade AI applications (multi-agent systems, MCP servers) that drive measurable ROI.
Lead a team of digital design engineers working on CPU functional units, focusing specifically on microarchitecture and RTL design for next-generation CPU subsystems.
Review and propose performance-enhancing microarchitecture features while collaborating closely with cross-functional software, architecture, and performance teams on trade-off studies.
Own complex customer issues and provide specialized support to other teams, ensuring customers can seamlessly deploy their AI and ML workloads on AI Infrastructure products.
Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure.
Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
Work closely with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive high-quality production.
Be available for non-standard work hours or shifts which may include weekends as needed.
Requirements
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
Nice to have: Large-scale distributed systems
Nice to have: AI/ML computing hardware (GPUs or other accelerators)
Lead the deployment, maintenance, and operation of private data networks worldwide, ensuring reliable, cost‑effective, and scalable network infrastructure.
Oversee and perform QA of installation technicians for the rack, stack, and installation of networking equipment.
Commission and test routers, optical transport equipment, and other network devices in new and existing network nodes across Google's global network.
Generate implementation plans and provide technical leadership and guidance during deployment activities.
Work closely with project management, network engineering and rest of the engineering team to identify in advance potential problems in network installations, including in the areas of facility power (AC/DC), cooling, security/access, rack layout and cable management.
Own network documentation, updating and maintaining network drawings and plans.
Requirements
Bachelor's degree in Network Engineering, Telecommunications, a related technical field, or equivalent practical experience
Nice to have: identifying recurring errors in deployment packages or specifications
Nice to have: driving feedback loops to improve design accuracy and operational efficiency
As a Field Regional Marketing Manager, you will be a vital on-the-ground anchor connecting Google to local stakeholders and communities. Your primary mandate is to help local teams demonstrate Google’s commitment to their communities while maintaining marketing creative, assets, and channels.
Locations (7)
Colorado, United States
Illinois, United States
Nebraska, United States
New Mexico, United States
Nevada, United States
Hardware Systems Test Engineer, Networking, Platforms Infrastructure Engineering
Lead the validation, bring‑up, and qualification of complex hardware systems from early design phase prototypes to deployment readiness within Google’s Platforms Infrastructure Engineering team.
Help design and build complex system‑level testbeds and maintain lab space, tools and infrastructure.
Diagnose hardware, silicon, and system level issues using software tools to isolate root causes across hardware, firmware, and signal interfaces.
Design and maintain automated test scripts and automation tools to enable continuous validation and regression coverage.
Generate implementation plans and provide technical expertise and guidance during deployment activities.
Collaborate with cross‑functional teams to address hardware bugs, and ensure seamless resolution.
Requirements
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
Nice to have: Master's degree or Ph.D. in Electrical Engineering, Computer Engineering, or a related technical discipline
Nice to have: 5 years validation engineering experience focused on hyperscale servers, high‑performance computing, or data center platform infrastructure
Nice to have: proven experience building automated hardware test suites and integrating test benches into continuous integration (CI/CD) pipelines
Inspect, maintain, and repair various data center systems such as piping and non-critical electrical or mechanical system components.
Provide daily assistance to technicians as you read blueprints/schematics, conduct tours of systems, and assess their working order.
Manage the uptime and maintenance of water pumps and treatment systems, HVAC, UPS, generators, electrical distribution, and control and monitoring systems.
Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
Support startup, commissioning, and integration of new equipment and systems into facilities infrastructure.
Requirements
Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
Nice to have: 5 years of experience in controls/automation, or construction/technical environment or a related field.
Nice to have: Experience in data centers, hospitals, or power plants.
Execute the full software development lifecycle: author technical design documents, ship maintainable code, build intuitive frontend surfaces, and manage deployment.
Build high-performance evaluation (eval) pipelines and observability frameworks to ensure agentic systems meet accuracy, safety, compliance, and latency requirements.
Resolve technical hurdles preventing AI maturity, including data readiness gaps, system integration complexities, edge-case managing, and state-management issues.
Deliver comprehensive plans to achieve project milestones and execution goals, ensuring the production-quality design meets strict scheduling targets.
Collaborate directly with verification, physical design, and power analysis teams to ensure designs successfully meet frequency, power, and area targets.
Direct load-store unit and cache subsystem design optimizations across CPU components to deliver power, performance, and area metrics.
Provide marketing support for community-facing events, like town halls, educational open houses, and sustainability roundtables
Create and manage bespoke educational and community marketing programs where appropriate
Manage end-to-end logistics for locally focused activities, including managing live event setups, ordering merchandise, and managing vendors when needed
Refine and deploy mobile demos and educational exhibits at state events to showcase Google’s technology and community contributions
Manage and maintain localized community websites, stories, and newsletters to keep residents updated on regional investments and hiring programs
Requirements
Bachelor's degree or equivalent practical experience
Product Manager, YouTube Discovery and AI ExperiencesNewGoogle · San Bruno, US