Business Analyst II, Creator Partnerships, YouTube

🏢 Summary: Lead the architecture and scaling of AI/ML infrastructure for YouTube Ads creative automation. The role focuses on high-throughput distributed systems, GenAI media-processing pipelines, experimentation platforms, and technical leadership across product and research teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience, 8 years of software development experience, 5 years of software product testing and launch experience, 5 years building large-scale infrastructure, distributed systems, networks, compute, storage, or hardware architecture, 3 years of software design and architecture experience, Experience designing or deploying machine-learning infrastructure or platforms 📃 Skills: Python, TensorFlow, PyTorch, Cloud, Distributed, Infrastructure, Architecture, Algorithms, MachineLearning, DeepLearning, GenAI 🏢 Description: Minimum qualifications • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. • 8 years of experience in software development. • 5 years of experience testing and launching software products. • 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. • 3 years of experience with software design and architecture. • Experience designing or deploying machine learning (ML) infrastructure or platforms. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 8 years of experience with data structures and algorithms. • 3 years of experience in a technical leadership role leading project teams and setting technical direction. • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects. • Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and cloud/distributed data technologies. About the job Develop next-generation technologies that operate at massive scale. Work on a project critical to business needs, with opportunities to switch teams and projects as priorities evolve. Bring ideas across areas including distributed computing, large-scale system design, networking, data storage, artificial intelligence, and more. Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions. The YouTube Ads Creative Optimization (YACO) team develops Creative Automation applications that drive advertiser value with minimal advertiser effort by leveraging AI technologies. The team operates at the intersection of Ads, YouTube, and Research. Responsibilities • Serve as the technical leader responsible for architecting, scaling, and steering next-generation infrastructure that powers AI/ML applications. • Operate at the intersection of Ads, YouTube, and GenAI research to build high-throughput systems enabling seamless creative generation and optimization. • Define the technical roadmap and architect scalable foundational infrastructure, including creative data engines, generation and rendering pipelines, and agentic orchestration frameworks. • Design and optimize distributed systems for complex GenAI and heavy media-processing workloads. • Build and mature experiment and learning infrastructure to accelerate model training, evaluation, and rapid deployment. • Partner with Product Management, Research, and executive leadership to align infrastructure capabilities with long-term business goals. • Guide, mentor, and elevate executive and junior engineers, fostering technical excellence and execution.

🏢 Summary: Design, build, and support full-stack data pipelines, warehouses, reporting systems, and scalable ETL processes. The role also productionizes statistical and machine-learning models and partners with product, user, engineering, and data-science stakeholders to evolve data infrastructure. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 1 year of programming experience, 1 year of experience designing data pipelines, 1 year of experience with dimensional data modeling, Experience integrating synchronous and asynchronous systems, Experience querying and scripting against data models 📃 Skills: Flume, DataFlow, Spark, ETL, Unix, Linux, NoSQL, Databases, Warehousing, Modeling 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 1 year of experience coding in one or more programming languages. • 1 year of experience designing data pipelines and dimensional data modeling for synchronous and asynchronous system integration and implementation using internal (e.g., Flume) and external stacks (DataFlow, Spark). • Experience working with data models by performing exploratory queries and scripts. Preferred qualifications • Experience partnering with stakeholders, including users, partners, and customers, and managing stakeholders/customers. • Experience developing project plans and delivering projects on time within budget and scope. • Experience designing data models, data warehouses, and modeling complex business processes or real-world business data. • Experience writing and maintaining ETL pipelines for structured and unstructured sources, alongside large-scale distributed data processing. • Proficiency with Unix or Linux environments and non-relational data storage systems, including NoSQL and distributed databases. • Excellent written communication, organizational, and investigative skills. About the job The role supports users and products by creating helpful, trusted experiences across the product ecosystem. It involves meeting partners and consumers where they are with support and help, representing their needs to product partners, and proposing fixes and features that improve engagement. The team also provides product services such as localization, digitization, and partner integration, helping optimize products for users worldwide. Responsibilities • Leverage advanced AI to design, develop, and support robust, full-stack data pipelines, warehouses, and reporting systems. • Create, optimize, and modify scalable ETL processes using traditional and large-scale distributed data systems to manage evolving business demands. • Partner closely with data scientists to transition, scale, and productionize statistical and machine-learning models within data processing pipelines. • Align and collaborate with product, user, and engineering stakeholders to ensure data infrastructure meets dynamically evolving operational requirements. • Author comprehensive technical design documents while managing continuous innovation using investigative tools for business insights.

🏢 Summary: Technical role focused on building AI-driven financial experiences by integrating third-party tools and agent workflows into an AIX orchestration layer. The position develops scalable, low-latency Generative UI capabilities and personalized financial insights using user signals, while leading architecture and delivery from discovery through production. 🗂️ Requirements: Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience, 5 years of software development experience, Experience with C++, Java, Kotlin, Python, or another general-purpose programming language, Experience developing, prompt-tuning, fine-tuning, or orchestrating LLM and generative AI systems, Experience with algorithms, Experience architecting backend or infrastructure systems 📃 Skills: C++, Java, Kotlin, Python, LLMs, AI, Algorithms, Backend, Infrastructure, MCP, MaRS, Agency, GenUI 🏢 Description: Minimum qualifications: • Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience. • 5 years of software development experience in one or more general-purpose programming languages (e.g., C++, Java, Kotlin, Python). • Experience developing with, prompt-tuning, fine-tuning, or orchestrating Large Language Models (LLMs) and generative AI systems. • Experience with algorithms and architecting backend or infrastructure systems. Preferred qualifications: • Experience with tool execution pipelines, agentic workflows, function calling, or Model Context Protocol (MCP) integration. • Experience working with Generative UI pipelines, adaptive design architectures, or dynamic component rendering systems. • Familiarity with Google Search Next infrastructure, specifically MaRS, Agency, and GenUI ecosystem components. • High interest in personal finance, market intelligence, fintech, or complex transactional domains where high precision and factuality are paramount. Responsibilities: • Lead technical execution for connecting external third-party tools and partner agents into an AIX orchestration layer utilizing the Model Context Protocol (MCP). • Build scalable, low-latency Generative UI capabilities on top of Core Search Next platforms, including MaRS, Agency, and the GenUI framework, to transform raw financial output into actionable, interactive user experiences. • Integrate Zero-Party (0P), First-Party (1P), and Third-Party (3P) user signals to deliver tailor-made financial insights while setting new standards for strict factuality, multi-turn conversation context, and high-utility helpfulness. • Identify engineering gaps, set technical roadmap priorities, and guide initiatives from initial discovery through production deployment. • Build strong relationships with cross-functional partners in Product Management, User Experience, Research, Quality, and External Partner Integration to align technical goals with product strategy.

🏢 Summary: Lead manufacturing test engineering for hardware systems, managing a team and developing scalable test strategies, automation, and process improvements. The role addresses complex product failures through RCCA, data collection, and manufacturing-process qualification for server, storage, and networking hardware. 🗂️ Requirements: Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent engineering experience, 10 years of test engineering experience in electronics manufacturing, 8 years of people management experience, Python, Bash, and Shell scripting experience for product-specific test plans and test execution 📃 Skills: Python, Bash, Shell, RCCA, ICT, BSCAN 🏢 Description: Minimum qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent engineering experience. • 10 years of experience in Test Engineering in electronics manufacturing. • 8 years of experience in people management. • Experience coding in Python, Bash, and Shell scripting to generate product-specific test plans and execute testing accordingly. Preferred qualifications • Experience in manufacturing, quality, or product engineering for hardware technology and systems. • Experience working with server, storage, and networking products, especially AI and ML servers, racks, and integration. • Experience with test station bring-up, gauge R&R/correlation, and partner or agreement manufacturing (ODM, OEM, JDM). • Experience managing manufacturing test hardware using custom electronics, fixturing, instrumentation, and defining test strategy, test automation, test optimization, and scaling test capacity. • Experience with design for test and structural tests such as ICT/BSCAN, Board- and System-level Functional Tests. • Ability to drive improvement of test systems and processes for scaling test capacity. About the job Join a team developing custom silicon solutions that support direct-to-consumer hardware products. Contribute to next-generation hardware experiences focused on performance, efficiency, and integration, while supporting the technical infrastructure behind data centers, platforms, and networks. Responsibilities • Lead a team; set and communicate individual and team priorities that support organizational goals. • Meet regularly with individuals to discuss performance and development, and provide feedback and coaching. • Apply Root Cause Corrective Action (RCCA) fundamentals and collaborate with teams to analyze failures and resolve issues. • Define and execute data-collection activities for highly complex technical issues. • Drive process design, optimization, and qualification activities for manufacturing processes involving components, parts, or products.

🏢 Summary: Lead the strategy, roadmap, and end-to-end delivery of technical products that serve millions of users. The role owns product requirements, market validation, product goals, and performance metrics while leading cross-functional teams. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 10 years of product management or related technical experience, 5 years taking technical products from conception to launch, 5 years of people management and technical leadership 📃 Skills: Product-management, MarTech, eCommerce, UX/UI, Analytics, Roadmapping, Metrics 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 10 years of experience in product management or a related technical role. • 5 years of experience taking technical products from conception to launch (for example, ideation to execution, end-to-end, or 0 to 1). • 5 years of people-management experience with technical leadership. Preferred qualifications • Master's degree in a technology- or business-related field. • 7 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 5 years of experience preparing and delivering technical presentations to executive leadership. • Experience building and deploying Marketing Technology (MarTech) products. • Experience in eCommerce. • Experience in an enterprise customer-facing role. Description Work cross-functionally to guide products from conception to launch, connecting technical and business perspectives. Break down complex problems into actionable steps that drive product development. The Product Management team works closely with engineers, designers, and marketers to design and develop technologies that improve access to the world's information. The role guides products throughout the execution cycle, with responsibility for analyzing, positioning, packaging, promoting, and tailoring solutions to users. Responsibilities • Own Product Requirement Documents (PRDs), overseeing collaboration with partner teams such as engineers, PgMs, and UX during product design. • Own and oversee the definition of product roadmaps. • Develop and secure buy-in for a product goal that identifies, defines, and supports the overall product narrative and direction. • Oversee validation of market size and opportunity, including user-based, opportunity, and business assessments. • Lead the team in defining, identifying, collecting, and tracking appropriate quantitative and qualitative product or business metrics for new or existing products or business ventures. Benefits • Benefits available at Google.

🏢 Summary: Lead Google Cloud AI Research engineering teams developing and deploying large-scale generative AI solutions. The role combines technical strategy, ML infrastructure optimization, system design, code development, and people leadership across multiple teams and locations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8+ years of software development experience, 5+ years leading ML design and ML infrastructure optimization, 3+ years in technical leadership, 2+ years with state-of-the-art GenAI techniques or related concepts, 2+ years of people management or team leadership experience 📃 Skills: Python, C, C++, Java, JavaScript, ML, GenAI, LLMs, Multimodal, Vision, Deployment, Evaluation, Debugging, Finetuning 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). • 3 years of experience in a technical leadership role. • 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). • 2 years of experience in a people management or team leadership role. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 3 years of experience working in an organization involving cross-functional or cross-business projects. About the job Software Engineering Managers provide technical leadership for major projects while managing teams of engineers. They manage project goals, contribute to product strategy, develop their teams, and help engineers optimize their code. This role manages engineers across multiple teams and locations, a large product budget, and the deployment of large-scale projects across multiple international sites. The Google Cloud AI Research team addresses AI challenges across industries including technology, healthcare, finance, and retail, conducting research with scientific and real-world impact and collaborating with product teams to bring innovations to customers. Responsibilities • Set and communicate team priorities that support broader organizational goals; align strategy, processes, and decision-making across teams. • Set clear expectations based on individuals’ levels and roles; meet regularly to discuss performance and development, and provide feedback and coaching. • Develop the mid-term technical vision and roadmap for one or more teams; evolve the roadmap for future requirements and infrastructure needs. • Design, guide, and vet system designs; write product or system development code to solve ambiguous problems. • Lead the design of GenAI solutions, optimize ML infrastructure, and guide data preparation and model optimization strategies.

🏢 Summary: This offer focuses on developing subscriber and engagement forecasting models, defining product metrics, and delivering analytics that improve subscription growth and engagement. The role partners with Data Science, leads quantitative analysis, and automates product-health reporting with AI-enabled tools. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 4 years of experience in an analytically intensive role 📃 Skills: SQL, Spreadsheets, Visualization, Forecasting, Analytics, Modeling, Automation, AI 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 4 years of experience with an analytically-intensive role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations. Preferred qualifications • 6 years of experience in an analytically-intensive role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy and operations. • Experience in consumer internet, media, sports, or online video industries, especially with subscription products. • Experience driving cross-functional programs or projects, with exceptional communication skills and the ability to influence a range of audiences. • Strong problem-solving and quantitative skills, including experience with SQL, spreadsheets, data visualization, sophisticated forecast models, and other data analytics tools. About the job Responsibilities • Own the development of driver-based subscriber and engagement models. Translate complex business inputs into forecasts that define annual and quarterly goals (OKRs) and the 5-year business outlook. • Define core product-area metrics and become an expert in how and why those metrics move. Conduct detailed analyses that result in actionable insights to improve performance. • Partner with the Data Science team to prioritize and execute sophisticated quantitative analyses and advanced modeling that delivers actionable insights to grow subscriptions and engagement. • Automate core workflows for product-health reporting, leveraging AI tools to reduce manual overhead and provide more self-serve options for executives.

🏢 Summary: Research-focused Software Engineer role advancing large language model and information retrieval capabilities for Gemini, Search, and related products. The position combines model evaluation, multi-stage training and practical modeling innovations, with deployment of research advances alongside Search and YouTube teams. 🗂️ Requirements: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, a related technical field, or equivalent practical experience, 3 years of machine learning experience focused on Large Language Models or Information Retrieval, 3 years of software engineering experience using Python, C++, JAX, or PyTorch, Experience implementing multi-stage training pipelines or algorithms 📃 Skills: Python, C++, JAX, PyTorch, LLMs, IR, MachineLearning 🏢 Description: Minimum qualifications • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience. • 3 years of experience in machine learning, with a focus on Large Language Models (LLMs) or Information Retrieval (IR). • 3 years of experience with software engineering in Python, C++, JAX, or PyTorch programming, including experience implementing multi-stage training pipelines or algorithms. Preferred qualifications • Experience developing Reinforcement Learning (RL) algorithms, automated evaluation systems, or LLM reflection and reasoning frameworks. • Experience with competitive programming, mathematics competitions (e.g., ICPC, IOI, IMO), or a track record of developing novel algorithms. • Experience rapidly prototyping and iterating on complex systems, generative AI models, or multi-stage pipelines. • Experience collaborating with product engineering teams to deploy machine learning models or research innovations into large-scale production environments (e.g., Search, Recommendation Systems). • Track record of learning new software tools, frameworks, and codebases quickly to solve complex technical obstacles. About the job Research-focused Software Engineers create experiments, prototype implementations, and design new architectures for real-world challenges such as artificial intelligence, data mining, natural language processing, hardware and software performance analysis, compilers for mobile platforms, and core search. The role includes large-scale testing and rapid deployment of promising ideas, while contributing to the wider research community through university partnerships and published papers. Responsibilities • Uncover strategic opportunities at the intersection of Gemini, Search, factuality, continual learning, deep research, and domain internalization. • Analyze models and model-driven products beyond current leaderboards; understand complex problem spaces and create new ways to measure ideal behavior. • Use empirical findings to develop practical interventions and modeling innovations that improve models across downstream surfaces. • Collaborate with product teams such as Search and YouTube to scale research innovations into production environments, optimizing for quality and efficiency.

🏢 Summary: Staff CAD Engineer role focused on architecting, developing, and deploying the CI2 silicon design environment for next-generation TPU and AI/ML hardware. The position improves silicon development flows, iteration speed, and power, performance, cost, and quality outcomes through advanced tooling and cross-functional collaboration. 🗂️ Requirements: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, related field, or equivalent practical experience, 10 years of technical leadership experience in critical silicon-design areas, Experience in at least two silicon disciplines, Experience developing and deploying advanced tools and development flows for the silicon lifecycle, Ability to lead design-environment architecture, development, and deployment, Knowledge of silicon development phases and scalable design flows 📃 Skills: Silicon, TPU, CI2, AI/ML, DFT, Synthesis, Verification, Firmware, Architecture, Modeling, Place-and-route, Timing, APIs 🏢 Description: Minimum qualifications • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. • 10 years of experience in technical leadership focusing on one or more critical aspects of silicon design. • Experience in two or more silicon disciplines, including architecture modeling, logic design, functional verification, DFT, synthesis, place and route, timing analysis, physical verification, or firmware development. • Experience developing and deploying advanced tools and development flows that streamline the silicon lifecycle and improve engineering productivity. Preferred qualifications • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science, with an emphasis on computer architecture. • 15 years of relevant academic and industrial experience in advanced silicon development. • Experience identifying the need for a silicon methodology change, developing a solution, and successfully deploying it with impact to more than 25 developers. • Experience developing solutions that require bridging knowledge gaps among collaborators. • Experience collaborating in internal or external ecosystem standardization efforts. • Knowledge of both front-end silicon development processes—architecture, logic design, and verification—and back-end processes—logic synthesis, place and route, timing convergence, and physical verification. About the job Shape the future of AI/ML hardware acceleration by driving TPU technology for demanding AI/ML applications. Develop custom silicon solutions and use design and verification expertise to verify complex digital designs, with a focus on TPU architecture and its integration within AI/ML-driven systems. As a Staff CAD Engineer, Silicon Design Environment, collaborate with domain experts across the silicon development spectrum to deliver the development environment for chips powering next-generation cloud systems. Refine ambiguous intent into solutions and rally others to develop or deploy them. Responsibilities • Use knowledge of silicon development phases to define the architecture and lead the development and deployment of the overall CI2 design environment as a coherent system of first-party and third-party tools, industry-standard and internal APIs/data formats, and scalable design flows. • Collaborate with technical leaders across CI2 sites to identify evolutionary and revolutionary tooling and methodology changes that enable convergence on a shared design environment. • Engage with other internal teams to keep CI2 at the forefront of advanced silicon development. • Ensure developed technologies optimize project iteration speed while achieving planned power, performance, cost, and quality metrics. • Partner with tools and methodologies team members to apply procedural and AI-first approaches that improve efficiency.

🏢 Summary: Lead global alliances with Global Systems Integrators to expand enterprise adoption and business growth on Google Cloud. The role owns joint business plans, partner offerings and go-to-market initiatives, executive engagement, performance tracking, and cross-functional alignment. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 15 years of experience in strategy consulting, enterprise sales, or business development, 5 years of experience working with Global Systems Integrators, Experience with enterprise public-cloud solutions and services, Experience designing and building go-to-market models with Global Systems Integrators, Experience managing multiple stakeholders 📃 Skills: Cloud 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 15 years of experience in strategy consulting, enterprise sales or business development, including 5 years of experience working with Global Systems Integrators (GSI). • Experience with public cloud solutions and services in the enterprise segment. • Experience designing and building go-to-market models with GSIs. • Experience managing multiple stakeholders. Preferred qualifications • MBA or Master's degree in a technical field. • Knowledge of the cloud services landscape and ability to provide industry insights. • Ability to translate data and trends into strategies and compelling messages. • Excellent communication skills and ability to conduct partner CXO engagements. • Excellent leadership and persuasion skills, along with the ability to mentor others. About the job Google Cloud helps organisations empower their employees, serve their customers, and build what’s next for their business with cloud technology. The Global Systems Integrators (GSI) and Consulting Partnerships team manages strategic relationships with top partners. As a Global Alliance Lead, you will help partners scale their worldwide business on Google Cloud. You will act as a trusted advisor throughout the journey of identifying new opportunities, developing capabilities, solutions and service offerings, pursuing go-to-market campaigns, landing wins, and delivering customer success. Responsibilities • Engage with C-level stakeholders, foster relationships between Google leaders, and partner with executives across sales and engineering. • Develop well-thought-out business plans with clear priorities, joint initiatives, and specific goals for growing pipeline, wins, and consumption. • Create compelling offerings and go-to-market initiatives with partners by quantifying opportunities and making a business case for investments as necessary. • Define, track, and analyse performance against specific measures of success for quantifiable, tangible progress. • Collaborate and align with cross-functional stakeholders across both Google and the partner organisation to maximise impact and build a long-term partnership.