Data Engineer, gTech Users and Products Engineering

🏢 Summary: Lead the design, development, and global scaling of ads solutions and best practices for customers, sellers, and partners. The role adapts regional bespoke solutions into reusable products, guides solution lifecycle strategy, and develops scalable ways to address industry and regional challenges. 🗂️ Requirements: Bachelor’s degree in Engineering, Computer Science, related field, or equivalent practical experience, 8 years of client-side web technology experience, 8 years of programming experience, Technical troubleshooting experience for partners or customers 📃 Skills: HTML, CSS, JavaScript, HTTP, Java, C++, Python 🏢 Description: Minimum qualifications • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. • 8 years of experience working with client-side web technologies, such as HTML, CSS, JavaScript, or HTTP. • 8 years of experience coding with one or more programming languages, such as Java, C/C++, or Python. • Experience troubleshooting technical issues for internal or external partners or customers. Preferred qualifications • Master’s degree in Engineering, Computer Science, Business, or a related field. • Experience in an investigative role, such as business intelligence, data analytics, or statistics. • Experience working with database technologies, such as SQL or NoSQL. • Experience with cloud technologies, including architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. • Experience using machine learning and building solutions. • Experience working with systems such as Linux, Unix, or Windows. About the job The Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to advertiser and publisher customers. Through technical implementation, optimization, and key solutions, the team helps customers attain business goals while building long-term capabilities. As an Ads Solutions Engineer, you will focus on solutioning and scaling globally, partnering with regional stakeholders, product teams, and specialists. You will create technical goals in the ads solutions space that empower customers and teams across the organization. The team supports customers globally with solutions rooted in technical skill, product expertise, and an understanding of complex customer needs, ranging from bespoke solutions for unique problems to tools that scale across products. Responsibilities • Lead the scoping, design, and development of solutions and best practices at a global level for reuse by customers, sellers, and partners. • Adapt existing bespoke ads solutions created by regional teams into globally scaled solutions that support thousands of customers. • Lead workflow and solution lifecycle strategy to ensure technical excellence, innovation, and compliance across the team. • Develop new ways to engage stakeholders and customers through scalable techniques or capabilities that address industry and regional challenges.

🏢 Summary: Customer Engineer role partnering with sales teams to design and demonstrate Google Cloud solutions for customers. The position leads technical discovery, demos, pilots, solution architecture, and delivery planning to win and expand cloud workloads. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 6 years of cloud computing experience, 6 years of presentation delivery experience, Experience presenting to technical stakeholders and executive leaders 📃 Skills: Cloud, GoogleCloud, A2A, LangGraph, CrewAI, AutoGen, VertexAI, LLM, TTFT, MCP, Authentication, Quantization 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 6 years of experience with cloud computing and delivering presentations. • Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications • Experience navigating AI infrastructure consumption models and optimizing high-throughput training/inference clusters. • Experience implementing multi-agent systems using frameworks such as A2A, LangGraph, CrewAI, and AutoGen. • Experience navigating the startup life cycle, from initial prototyping with AI Studio to scaling and achieving product-market fit on Vertex AI. • Experience working with, and a passion for, the high-growth startup ecosystem and its typical rapid-scaling issues. • Knowledge of LLM-native performance metrics, including TTFT, tokens/sec, and cost-per-request, and techniques for optimizing state management, quantization, and provisioned throughput. • Ability to implement secure agentic workflows incorporating MCP, tool-calling, and enterprise-grade authentication. About the job As a Customer Engineer, you will partner with technical sales teams to differentiate cloud solutions for customers. You will serve as the customer’s primary technical partner and trusted advisor, leading technical conversations to understand business issues. You will troubleshoot technical questions and roadblocks, participate in proofs of concept and demos, and architect cross-pillar cloud solutions. You will drive the technical win, define delivery and consumption plans, and present practical solutions to technical and business leaders. You will identify, pursue, and win new business workloads while expanding existing ones. The role requires broad technical expertise across infrastructure modernization, application modernization, data analytics, and related areas, combined with sales expertise, market knowledge, and direct technical engagement. Responsibilities • Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions. • Combine sales, programming, and solutions architecture expertise to prove the value of the cloud portfolio through complex demos, pilots, and in-depth workshops. • Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead technical engagement during the solution phase. • Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams. • Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration, or implementation phases.

🏢 Summary: Partner Engineer role focused on helping partners integrate and deploy connected apps in the Gemini App. The position drives partner integrations, develops LLM-based workflows for data quality and schema ingestion, and collaborates with product and engineering teams to improve partner and user experiences. 🗂️ Requirements: Bachelor’s degree in Engineering, Computer Science, related field, or equivalent practical experience, 3 years of coding experience with programming languages, 3 years of web technology experience, Technical troubleshooting experience, Internal or external partner/customer management experience 📃 Skills: Java, C++, Python, HTML, CSS, JavaScript, HTTP, SQL, NoSQL, Cloud, ADK, Antigravity, MCP, UCP, LLM, SFT 🏢 Description: Minimum qualifications • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. • 3 years of experience coding with one or more programming languages, such as Java, C/C++, or Python. • 3 years of experience in web technologies, such as HTML, CSS, JavaScript, or HTTP. • Experience in technical troubleshooting and managing internal or external partners or customers. Preferred qualifications • 5 years of software development experience and familiarity with architectural components and system design. • Experience with database technologies, such as SQL or NoSQL. • Experience architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering. • Experience building solutions on AI platforms such as Agent Development Kit (ADK). • Experience developing with AI editors such as Antigravity and building skills and AI agents around them. • Experience with AI protocols such as MCP and UCP. About the job The core mission of Gemini App Partner Engineers is to ensure partners can successfully adopt and deploy connected apps using the Gemini App. This involves deeply understanding partners’ technical and business goals and providing guidance to help them integrate with the Gemini App. The work is in a nascent, fast-changing, and ambiguous space. Responsibilities • Drive new partner integrations within the Gemini App, ensuring a frictionless partner experience and growing user value. • Contribute to Gemini’s evolution through LLM-based solutions and processes, including tools and colabs for partner schema ingestion, data preparation, and quality iterations such as prompt engineering, running evaluations, loss-bucket analysis, and SFT data points. • Influence product strategy and work with cross-functional teams to bring partner-facing features to market. • Advocate for seamless partner and user experiences and for user and partner success with engineering and product teams. • Stay current with industry trends and the latest machine-learning research, tools, and techniques.

🏢 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: 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 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: Product management role focused on guiding Search products from conception through launch and improving information access for users worldwide. The position partners with engineering, UX, marketing, legal, and other teams to solve complex product and infrastructure challenges, launch features, and iterate based on performance. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 8 years of product management or related technical experience, 3 years taking technical products from conception to launch 📃 Skills: Accessibility, Software 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 8 years of experience in product management or related technical role. • 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1). Preferred qualifications • Master’s degree or PhD in a technology- or business-related field. • 5 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 5 years of experience in a business function or role, such as marketing, business operations, or consulting. • 4 years of experience preparing and delivering technical presentations to executive leadership. • 3 years of experience in software development or engineering. • Knowledge of, or continued interest in, accessibility best practices and experience or curiosity in incorporating accessibility into product development methodologies. About the job Work cross-functionally to guide products from conception to launch, connecting technical and business priorities. Break down complex problems into actionable steps that drive product development. The role supports the design and development of technologies that improve access to information. Responsibilities span the product execution cycle, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. The Search team is reimagining how people search for information across contexts and devices. The work involves solving complex engineering challenges, expanding infrastructure, and maintaining an accessible, useful experience relied on by people globally. Responsibilities • Understand markets, competition, and user requirements in depth. • Launch new products and features, test performance, and iterate quickly. • Collaborate with engineering, marketing, legal, UX, and other teams on technologies. • Develop solutions by collaborating across regions, product areas, and functions as needed.

🏢 Summary: Software engineering role focused on building and maintaining large-scale technical infrastructure that powers global services. The position involves product and systems development, design and code reviews, documentation, and debugging issues across hardware, network, and service operations. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of programming experience in C++, Python, or Go, 2 years of experience with large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture 📃 Skills: C++, Python, Go, Infrastructure, Networks, Compute, Storage 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience programming in C++, Python, or Go. • 2 years of experience developing large-scale infrastructure, distributed systems, or networks; or experience with compute technologies, storage, or hardware architecture. Preferred qualifications • Master’s degree or PhD in Computer Science or related technical fields. • 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging. • 2 years of experience with data structures or algorithms in an academic or industry setting. • Experience developing accessible technologies. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Products handle information at massive scale and extend beyond web search. As a software engineer, you will work on a project critical to business needs, with opportunities to switch teams and projects as the business grows and evolves. Engineers are expected to be versatile, demonstrate leadership, and take on new full-stack problems. The Technical Infrastructure team builds the architecture behind online user experiences. Its work includes developing and maintaining data centers, building next-generation platforms, and keeping networks running to provide users with a fast, reliable experience. The AI and Infrastructure team delivers AI and infrastructure at scale, efficiency, reliability, and velocity for internal teams, cloud customers, and users worldwide. Teams support AI-model development, global computing services, and developer platforms, with work spanning software and hardware, including TPUs, Vertex AI for Google Cloud, global networking, data center operations, and systems research. Responsibilities • Write product or system development code. • Participate in or lead design reviews with peers and stakeholders to select among available technologies. • Review code developed by other developers and provide feedback to ensure best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to existing documentation or educational content and adapt content based on product or program updates and user feedback. • Triage product or system issues and debug, track, and resolve them by analyzing issue sources and their impact on hardware, network, or service operations and quality.

🏢 Summary: Software engineering role focused on building and operating large-scale technical infrastructure, distributed systems, networks, and cloud platforms. The position involves end-to-end development, design reviews, code quality, documentation, and troubleshooting of system, hardware, network, and service issues. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 2 years of programming experience in C++, Python, or Go, 2 years of experience with large-scale infrastructure, distributed systems, networks, cloud technologies, storage, or hardware architecture 📃 Skills: C++, Python, Go, Cloud, Storage, Networks, Infrastructure 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 2 years of experience programming in C++, Python, or Go. • 2 years of experience developing large-scale infrastructure, distributed systems, or networks; or experience with cloud computing technologies, storage, or hardware architecture. Preferred qualifications • Master’s degree or PhD in Computer Science or a related technical field. • 2 years of experience with performance analysis, large-scale systems data analysis, visualization tools, or debugging. • 2 years of experience with data structures or algorithms in an academic or industry setting. • Experience developing accessible technologies. • Proficiency in code and system health, diagnosis and resolution, and software test engineering. About the job Software engineers develop next-generation technologies that support how billions of users connect, explore, and interact with information. Products operate at massive scale and span areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile development. This role is assigned to a project critical to technical infrastructure needs, with opportunities to move between teams and projects as business needs evolve. Engineers are expected to be versatile, demonstrate leadership, and take on new full-stack challenges. The Technical Infrastructure team develops and maintains data centers, platforms, and networks that support products and services. The AI and Infrastructure team delivers AI and infrastructure capabilities at scale, with work spanning hyperscale computing, TPUs, Vertex AI, global networking, data center operations, systems research, software, and hardware. Responsibilities • Write product or system development code. • Participate in or lead design reviews with peers and stakeholders to select among available technologies. • Review code from other developers and provide feedback on best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to documentation or educational content, adapting it for product or program updates and user feedback. • Triage, debug, track, and resolve product or system issues by analyzing their sources and impacts on hardware, network, or service operations and quality.

🏢 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.