Director, Product Management, Databases, Spanner

🏢 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: 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: 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: 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 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: Product Manager role focused on building and scaling basemap data products that power search, navigation, routing, and automotive features. The position leads products from conception to launch, working across engineering and operations to improve road-network data, quality standards, data sources, and product roadmaps. 🗂️ 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, SQL, Python, Machine-learning, Geospatial, Roadmaps, Data-analysis 🏢 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, end-to-end, or 0-to-1 work. Preferred qualifications - 2 years of experience preparing and delivering technical presentations to executive leadership. - Experience deploying machine learning models in production, including quality evaluation and policy design. - Experience with geospatial datasets or large, complex datasets. - Ability to lead cross-functional teams, manage product roadmaps, and deliver high-quality products on schedule. - Comfort with SQL, Python, and self-directed data analysis. About the job Product Managers guide products from conception to launch by connecting technical and business needs and breaking complex problems into actionable product-development steps. The role works closely with engineers, designers, marketers, and other partners throughout the execution cycle, including analyzing, positioning, packaging, promoting, and tailoring solutions to users. As part of the Basemap Data team, the Data Product Manager delivers data products that power search, navigation, and orientation use cases across Geo. The role focuses on building and scaling fundamental data layers for map products, including maintaining a fresh, accurate core road network and delivering safety and driver-assistance attributes. These products support foundational routing and consumer navigation as well as advanced automotive features, such as adaptive cruise control for Auto OEM partners. The role owns critical short- and long-term deliverables and provides the opportunity to develop expertise in the geospatial market and in building scalable data products. The Geo team builds accurate, comprehensive, and useful maps across products including Maps, Earth, Street View, and Google Maps Platform. It also enables developers to enhance apps and websites with mapping capabilities while solving complex computer science problems, designing intuitive experiences, and improving understanding of the real world. Responsibilities - Collaborate with engineering and operations to deliver scalable systems powered by AI and operations that provide detailed road-network, geometry, road-sign, and other attribute data for consumer and automotive use cases. - Define enterprise-grade quality standards for core basemap data products, including roads, signs, and speed-limit data, to meet enterprise user needs in AI-powered services. - Identify and integrate new data sources, including vehicle sensor observations, driving telemetry, user reports, and imagery, to maintain a fresh map of the real world. - Drive prioritization and development of features that increase the level of detail in foundational roads and speed-limit products. - Lead market research across consumer and automotive offerings to influence the data roadmap.

🏢 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: 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: 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 leadership role managing a team that builds capacity-planning systems for high-throughput cloud storage products and large AI/ML workloads. The position owns strategy and delivery for distributed infrastructure solutions, network optimization, automated capacity adjudication, and cross-functional supply alignment. 🗂️ Requirements: Bachelor’s degree or equivalent practical experience, 8 years of software development experience, 3 years of experience with large-scale infrastructure, distributed systems, networks, compute technologies, storage, or hardware architecture, 3 years of technical leadership experience, 2 years of people management or team leadership experience 📃 Skills: Software, Infrastructure, DistributedSystems, Networks, Compute, Storage, Hardware, CapacityPlanning, AI, ML 🏢 Description: Minimum qualifications • Bachelor’s degree, or equivalent practical experience. • 8 years of experience in software development. • 3 years of experience developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. • 3 years of experience in a technical leadership role. • 2 years of experience in a people management or team leadership role. Preferred qualifications • Master's degree or PhD in Computer Science or a related technical field. • 3 years of experience working in a complex, matrixed organization. • Strong understanding of AI/ML frameworks. • Experience mentoring executive engineers and other technical leads. • Experience in capacity planning for complex, large-scale distributed systems. About the job Responsibilities • Manage team staffing and career growth, uphold a high-performance bar, and foster an environment to build capacity-planning solutions for high-throughput GCS products. • Own the strategy, scoping, navigation, and outcomes for capacity-planning systems targeting high-throughput scenarios, such as the Bandwidth Highway and Rapid Cache. • Guide the team through ambiguity by breaking down complex challenges, including supply scarcity and dense AI zone typologies, into tractable technical milestones. • Navigate complex relationships across GCS, Networking, Compute, and Data Center teams to align supply agendas and ensure seamless onboarding for massive AI/ML workloads. • Drive engineering efforts to automate capacity adjudication, optimize network resources, and accelerate the time required to onboard new high-throughput customers.