Gemini App Partner Engineer, gUP

🏢 Summary: Lead the product strategy, roadmap, and launch of Gemini-based, agentic AI customer-support experiences for Google Cloud. The role combines enterprise technical expertise with product leadership to build unified, proactive, and autonomous support solutions and guide stakeholders on their adoption. 🗂️ Requirements: Bachelor’s degree in Computer Science, Information Systems, related technical field, or equivalent practical experience, 9 years of enterprise technical-role experience in technical solutions engineering, software engineering, or technical program management, 9 years of experience in at least two relevant technical domains, 6 years of customer troubleshooting and cloud technical-risk advocacy experience, Ability to read and write code in a general-purpose programming language or perform system design 📃 Skills: Java, C, C++, Python, Shell, Go, JavaScript, Kubernetes, Oracle, SAP, VMWare, Networking, Web, BigData, MachineLearning, SystemsAdministration, Cloud 🏢 Description: Minimum qualifications • Bachelor's degree in Computer Science, Information Systems, related technical field, or equivalent practical experience. • 9 years of experience in a technical role, such as technical solutions engineer, software engineer, or technical program manager, providing enterprise-level support and workflows. • 9 years of experience with two or more of the following: Web Tech, Data/BigData, Systems Admin, Machine Learning, Networking, Kubernetes, Oracle, SAP, VMWare. • 6 years of experience troubleshooting and advocating for customers, addressing Cloud technical risks. • Experience writing and reading code in a general-purpose coding language, such as Java, C, C++, Python, Shell, Go, or JavaScript, or experience in system design. Preferred qualifications • Experience using analytics and data to problem-solve, collaborate, and communicate with stakeholders. • Experience building and understanding agentic AI, large language models (LLMs), and their application in customer-facing products. • Experience launching successful products or services from conception to launch. • Experience developing and managing technical documentation, runbooks, or knowledge bases. About the job The Google Cloud Platform team helps customers transform and build what’s next for their business using cloud technology. Its products are developed for security, reliability, and scalability, running the full stack from infrastructure to applications, devices, and hardware. As a Product Technology Manager for Support on Gemini, you will define and execute the product strategy for a new generation of customer-support experiences, treating support as a product itself. You will bring agentic systems to life to deliver proactive and reactive customer support and help shape the GenAI-driven future of customer interaction and support. Responsibilities • Translate business objectives and requirements from systems program managers into a product idea, strategy, and roadmap for Support on Gemini, aligned with company objectives and customer needs. • Drive the conceptualization, development, and launch of innovative agentic AI systems for customer support, transforming support from fragmented and human-driven to unified, autonomous, and AI-driven. • Own product requirements for Cloud Support technical solutions and collaborate with GCBP, technology vendors, and GCP Product and Engineering to bring new support experiences and features to market. • Act as a subject-matter expert on technical knowledge for the support organization; provide technical guidance and training; and identify and advocate for capabilities and improvements based on support needs and data analysis. • Engage executive leadership and key stakeholders to communicate product strategy, progress, and results.

🏢 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: This offer is for a senior software engineer to build conversational AI-agent capabilities, including recommendation systems, skill discovery and performance investigation tools. The role combines ML system design and infrastructure with technical leadership, stakeholder management and team coaching. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of software development experience, 5 years of software product testing and launch experience, 3 years of software design and architecture experience, 5 years of experience in speech/audio, reinforcement learning, ML infrastructure, or another ML specialization, 5 years of ML design and ML infrastructure experience, including deployment, evaluation, data processing, debugging or fine-tuning 📃 Skills: Python, MachineLearning, ReinforcementLearning, Speech, Audio, MLOps, Deployment, Evaluation, Debugging, Finetuning, Algorithms, Architecture 🏢 Description:

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🏢 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: Senior product design opportunity focused on creating natural, efficient user experiences for Gemini and AI-powered conversational products. The role partners with cross-functional teams to translate user, technical, and business needs into polished, systems-oriented design solutions. Compensation includes a US base salary of $188,000–$274,000, a 20% target bonus, equity, and benefits. 🗂️ Requirements: Bachelor’s degree in Design, Human-Computer Interaction, Computer Science, related field, or equivalent practical experience, 8 years of user-interface design experience for software applications, Experience designing conversational products, Portfolio, website, or other work sample link included with resume 📃 Skills: UI, Conversational, AI, HCI 🏢 Description: Minimum qualifications • Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience. • 8 years of experience designing user interfaces for software applications. • Experience in designing for conversational products. • Include a portfolio, website, or any other relevant link to your work in your resume, providing a viewable link or access instructions. Preferred qualifications • Experience collaborating with large cross-functional teams through ideation, validation, and iteration processes, helping transform abstract ideas into shippable products. • Proficiency in designing user-centric experiences for unconventional hardware devices, with a strong understanding of physical interactions, multi-device complexities, and contextual awareness. • Familiarity with behavioral data and capability to create data-driven designs, while being equally capable of moving forward in the absence of data. • Excellent communication and collaboration skills with the ability to articulate design rationale and build alignment with partners. • Demonstrated expertise in designing intuitive interactions for AI-driven products. About the job We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits Responsibilities • Design user experiences for Gemini, ensuring natural and efficient interaction within your specific product area. • Collaborate with cross-functional teams and cross-organizations to align design efforts with product strategy and user goals, influencing decisions that drive positive user outcomes. • Translate user needs, technical understanding, and business requirements into polished design solutions by deeply understanding human factors (physical, social, and cultural) and situational contexts. • Apply a systems-thinking approach to your design work, understanding the impact of individual components on the overall AI-powered experience, optimized for AI's probabilistic nature.

🏢 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: 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: 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: 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: Software engineering role focused on building and operating large-scale technical infrastructure, distributed systems, networks, storage, and database infrastructure. The position involves developing, testing, reviewing, and debugging production code while contributing to system design and technical decisions. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 5 years of C++ or Go programming experience, 3 years of software product testing, maintenance, or launch experience, 1 year of software design and architecture experience, 3 years of large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture experience, Database internals, storage systems, or database infrastructure experience 📃 Skills: C++, Go, Databases, Storage, Networking, Infrastructure, Architecture, Testing 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 5 years of experience programming in C++ or Go. • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. • Experience in database internals, storage systems, or database infrastructure. Preferred qualifications • Master's degree or PhD in Computer Science or a related technical field. • 5 years of experience with data structures and algorithms. • 1 year of experience in a technical leadership role. • Experience developing accessible technologies. About the job Software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information. Products operate at massive scale and extend beyond web search, spanning information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. You will work on a project critical to business needs, with opportunities to switch teams and projects as priorities evolve. The role requires versatility, leadership, and enthusiasm for solving new full-stack problems. The Technical Infrastructure team builds and maintains the architecture behind online products, including data centers, next-generation platforms, and networks. The team keeps networks running and enables fast, reliable user experiences. Cloud solutions provide enterprise-grade technology and tools that help developers build more sustainably and support organizations’ digital transformation. Responsibilities • Write and test 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 on best practices, including style guidelines, code check-in, accuracy, testability, and efficiency. • Contribute to existing documentation or educational content and adapt it 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.