Senior Product Technology Manager, Cloud Support on Gemini

🏢 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: 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: 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: Product Manager role focused on defining and launching AI-powered Pixel mobile experiences. The position leads product strategy, on-device AI solutions, prototyping, and cross-functional delivery from concept through launch. 🗂️ Requirements: Bachelor's degree or equivalent practical experience, 3 years of product management or related technical experience, 1 year taking technical products from conception to launch, Experience integrating generative AI tools or LLM interfaces into workflows 📃 Skills: AI, LLM, Android, UX, UI, Software, Prototyping 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 3 years of experience in product management or a related technical role. • 1 year of experience taking technical products from conception to launch, such as ideation to execution or 0-to-1 work. • Experience integrating generative AI tools or LLM interfaces into workflows. Preferred qualifications • Master's degree in a technology- or business-related field. • 2 years of experience in a business function or role, such as strategic marketing, business operations, or consulting. • 2 years of experience preparing and delivering technical presentations to senior leadership. • 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 1 year of experience in software development or engineering. • Experience with Android mobile, device software, operating systems, or other foundational technology-stack components. About the job Guide products from conception to launch by connecting technical and business needs, breaking complex problems into actionable steps that drive product development. Work with engineers, designers, marketers, and other partners to design, develop, position, package, promote, and tailor solutions for users. The role supports the development of mobile experiences, bringing together artificial intelligence, software, and hardware to create smartphone experiences for users worldwide. Responsibilities • Define and execute the product strategy and roadmap for AI experiences, synthesizing multimodal signals into context-aware user suggestions. • Advance next-generation device pipelines to create frictionless user interactions. • Partner with engineering, UX, and privacy teams to architect secure, on-device processing solutions that address technical platform constraints. • Lead rapid prototyping and continuous testing using AI-assisted tools to independently validate concepts and user experiences. • Author product specifications that frame requirements around outcomes and success criteria and align specialized teams.

🏢 Summary: Product Manager role for Google Ads, guiding advertising products from concept through launch and iteration. The position partners with engineering, UX, marketing, legal, and other teams to develop solutions that help publishers and advertisers succeed across Google’s advertising network. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 3 years of product management or related technical experience, 1 year taking technical products from conception to launch 📃 Skills: Product, Management, Accessibility, Engineering 🏢 Description: Minimum qualifications • Bachelor's degree or equivalent practical experience. • 3 years of experience in product management or a related technical role. • 1 year of experience taking technical products from conception to launch, such as ideation through execution or 0-to-1 development. Preferred qualifications • Master’s degree or PhD in a technology- or business-related field. • 2 years of experience in a business function or role, such as strategic marketing, business operations, or consulting. • 2 years of experience preparing and delivering technical presentations to senior leadership. • 2 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders. • 1 year of experience in software development or engineering. • Knowledge of, or continued interest in, accessibility best practices and incorporating accessibility into product development methodologies. About the job Product Managers guide products from conception to launch by connecting technical and business needs and breaking complex problems into steps that drive product development. The Product Management team works closely with engineers, designers, marketers, and other partners to design and develop technologies that improve access to the world’s information. The team guides products throughout the execution cycle, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. As a Product Manager for Google Ads, you will support businesses running search, display, and video campaigns on Google and its advertising network. You will explore, develop, and apply state-of-the-art technologies to help publishers generate business through their content and help advertisers acquire engaged users. 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 cutting-edge technologies. • Develop solutions by collaborating across regions, product areas, and functions as needed.

🏢 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.

🏢 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: Lead the technical direction and end-to-end delivery of AutoCloud Agentic Systems. The role focuses on Generative AI, scalable software development, engineering best practices, and cross-functional alignment to deliver customer value. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of software development experience, 5 years of leadership, people management, hiring, mentoring, and talent-retention experience across global locations, 2 years of Generative AI experience 📃 Skills: GenerativeAI, Softwaredevelopment, AI, Prototyping, Deployment, Monitoring 🏢 Description: Minimum qualifications • Bachelor’s degree or equivalent practical experience. • 8 years of experience with software development. • 5 years of experience in leadership, people management, hiring, mentoring, and retaining talent across global locations. • 2 years of experience with Generative AI. Preferred qualifications • Master’s degree or PhD in Engineering, Computer Science, or a related technical field. • 5 years of experience working in a complex, matrixed organization. About the job Responsibilities • Lead the technical goal and execution for AutoCloud Agentic Systems, ensuring alignment with product goals and user needs. • Drive the end-to-end development life cycle of features, from ideation and prototyping to deployment, monitoring, and iteration, ensuring high quality, scalability, and performance. • Develop technology strategy and phased plans alongside product to drive product improvements or process simplifications. • Partner with cross-functional leaders across Google Cloud and AutoCloud to drive alignment and deliver customer value. • Define and advocate for best practices in AI development and software engineering, ensuring robust and reliable systems.

🏢 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: 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.