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Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 3 years of work experience with a PhD. Preferred qualifications: PhD in Statistics, Mathematics, Data Science, Economics, or a related quantitative field. 4 years of experience, including expertise with statistical data analysis on real-world data such as ML modeling, experimentation, sampling methods, and causal inference methods. Experience with machine learning on large datasets. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Ability to demonstrate leadership and self-direction, with a willingness to both teach others and learn new techniques. Ability to demonstrate skills in selecting the right methodology given a data analysis problem. About the jobAt Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Our team's mission is protecting billions of Android users from abusive applications, including malware, content abuse, impersonation, and behavioral abuse. Preventing abuse is fascinating technically and it features an adversarial scenario where we try to detect bad actors who try in turn to evade detection. Impact and success translates directly to keeping the Android ecosystem safe and protecting users from a variety of types of abuse.As a Data Scientist, Research, you will have the unique opportunity to establish the foundation for data-driven decision-making and product innovation, directly impacting the safety of billions of Android users globally. Your day-to-day will involve data research, innovative solution development (such as improving and evaluating machine learning models), system optimization (e.g., enhancing enqueue and queue prioritization), review quality assessment (for both automated and human decisions), and a variety of other impactful projects requiring strong data and statistical acumen.Android is Google’s mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.Responsibilities Work with large datasets and solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and oral delivery of results to business partners. Collaborate closely with stakeholders in Product Management, Engineering, and Operations teams to define relevant questions, objectives, and metrics; identify and implement quantitative methods to answer those questions. Develop, own, and evolve methodologies and frameworks, providing source-of-truth measures for the organization. Establish a comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data-driven solutions to facilitate efficiency improvements. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in a technical field or equivalent practical experience. 8 years of experience in computing infrastructure, networking, operating systems, or hardware. 5 years of experience managing technical, vendor, agreement management, or delivery teams. Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required. Preferred qualifications: Experience working in data center environments, including building and operating the infrastructure, and network and compute architecture and life-cycle, and Linux/Unix system administration. Experience in installing, configuring, testing, troubleshooting and maintaining hardware servers and its components. Experience with initiating and executing initiatives in a global environment. Ability to lead and improve Environmental Health and Safety initiatives. Excellent data gathering, analysis and presentation skills. About the jobGoogle isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Hardware Operations Manager, you will manage a team of Data Center Technicians. You will oversee the quality installation of server hardware and components and take charge of complicated installations/troubleshooting.Your team will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). They will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. They may lead small project teams on larger installations and develop project contingency plans. In this role, you will lead a team of Data Center Technicians who perform quality installations of server and network hardware and their components, and maintain and troubleshoot any tests while modeling teamwork with a positive impact to site culture. You will also manage day-to-day operations and guide the team through the installation, configuration, testing, troubleshooting and decommissioning of our servers. In a similar fashion, you will also oversee the deployment of network components of the data center, lead teams on installations and develop project contingency plans.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Responsibilities Lead a team of individuals, 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. Partner with teams to meet goals and stakeholders to manage facility activities and set/implement short and long-term strategies. Maintain, monitor, and execute security and operational procedures and track/analyze trends to identify opportunities for improvements ensuring alignment with organizational policies. Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues. Support and contribute to the implementation of Environmental Health and Safety (EHS) and other compliance programs and initiatives in collaboration with other teams to ensure environmental and safety incidents are investigated, resolved, and reported. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. Experience with the software development life-cycle and managing engineering programs. Experience with designing and executing A/B testing, incrementality testing, or advanced measurement frameworks and statistical modeling. Preferred qualifications: Experience leading large-scale, complex programs to deliver innovative and high-impact solutions. Experience in software programming or with scripting languages (R, SQL, Python, etc.). Experience applying advanced statistical modeling and quantitative methods to drive data-informed decision-making. Experience translating business challenges into structured analysis. Experience with the digital advertising ecosystem. Strong stakeholder management and communication skills. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. Responsibilities Serve as a high-level individual contributor and thought leader, partnering with App Ads engineering and product leads to facilitate strategic, data-driven decision-making and facilitate cross-functional knowledge sharing. Conduct sophisticated quantitative analysis of performance metrics and market dynamics to drive business outcomes and long-term product strategy that align with KPIs. Lead the development of advanced experimentation and measurement frameworks to design business-critical tests that deepen understanding of the ads ecosystem and refine product roadmaps. Design comprehensive data tracking plans and infrastructure for new feature launches, performing deep dives into session-level trends to prioritize engineering resources and identify growth opportunities. Build centralized business metric hubs to monitor key performance drivers, providing early intelligence on competitive risks, market opportunities, and the overall health of the App Ads business. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience with security assessments or security design reviews or threat modeling. 1 year of experience with coding in programming languages (e.g., Python, Go, SQL, JavaScript). Experience with security engineering, computer and network security and security protocols. Preferred qualifications: Experience in specific enterprise security domains, such as threat modeling, authentication/access controls, data protection controls, or sandboxing technologies. Familiarity with Google’s internal security tools, infrastructure (e.g., BeyondCorp), and processes for vulnerability management. Understanding of Google’s most-commonly used production tech stacks. Proven ability to independently produce high-quality Google engineering artifacts (e.g., design docs, code reviews, or risk assessments) that require minimal revision. About the jobOur Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. In this role, you will deliver technical contributions to enterprise security projects focused on protecting Alphabet’s data from risks associated with first-party and third-party Artificial Intelligence (AI) products. You will be assisting Google teams with securing AI-related features and products, including assessment of enterprise security controls within Google’s own products. You will partner with the Enterprise Security AI team to define and validate paths that guide secure AI development and use across the company. You will be an individual contributor with a well-rounded understanding of Google’s production tech stacks. You will be able to draw on security engineering knowledge including threat modeling, security assessments, access controls, and data protection, and adapt this knowledge to advise on mitigating risks due to increased AI use.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Deliver quality security assessments and threat models for first-party and third-party AI agents, ensuring they adhere to established practices and enterprise security principles. Propose and validate technical guardrails to prevent unauthorized agentic AI actions, and to inform the development of frameworks/solutions that support secure AI development. Use the subject-matter expertise to assist with escalations and remediation in collaboration with members of the team. Share expertise on agent security technologies and Google-specific security infrastructure with adjacent teams to improve cross-functional project collaboration. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 4 years of experience in Financial Planning and Analysis (FPA), business analyst, data analyst, or a related function, or an advanced degree. Experience with Spreadsheets, SQL and working with data. Preferred qualifications: Experience with building dashboards, Business Intelligence solution development, and establishing data pipelines. Knowledge of R and Python. Ability to work with data to produce analysis, influencing decision making with numerical analysis and generating insights. Ability to take initiatives, navigate ambiguity and work in an unstructured environment. Excellent communication and presentation skills and the ability to craft and deliver a message with credibility to influence senior leadership. About the jobFinancial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges.As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support. We are APAC's Central Intelligence and Analytics (CIA) team, a part of Business Finance.We are a critical cog in the Finance machinery that runs the APAC Ads Business, ensuring that processes run smoothly while bringing critical analyses, insights and opportunities to the business.Business Finance is part of Google’s Financial Planning Analysis (FPA) organization, providing financial and analytical support to Google’s business organization. Our work is integral to the strategic decision-making and operations of the commercial teams across all our advertising products. From understanding market and usage trends to exploring the productivity and return of our various investments, the Finance organization is an important partner and advisor to the commercial leaders.The name Google came from googol, a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.Responsibilities Act as a strategic partner to APAC business and sales leadership, collaborating cross-functionally to drive annual planning, track strategic initiatives, verify scorecards, create dashboards and provide deep-dive financial impact analyses. Lead APAC quota development and modeling to define quarterly and annual sales quotas, partner with global stakeholders on compensation design, and manage Operational Expenditure (OpEx), sales bonuses, and policy exceptions. Own and manage standard business reporting, including compiling weekly revenue reviews, the APAC Fact Pack, and synthesized variance analysis to prepare APAC leadership for executive earnings meetings. Conduct external peer benchmarking and build technical solutions, including Google3 data pipelines, optimized SQL queries, and interactive BI dashboards to supercharge regional analytical and reporting capabilities. Lead AI experimentation to design and deploy automated agents, streamlining manual finance workflows, updating database tables, and conducting complex analyses. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with full-stack development, including back-end, such as Java, Python, GO, or C++ codebases, and front-end, such as JavaScript, TypeScript, HTML, or CSS. Experience developing computer vision or machine learning products. Preferred qualifications: Master's degree or PhD in Computer Science, or a related technical field. Experience with hacking hardware (e.g., Arduino, Raspberry Pi, etc.), and with other technologies (e.g., AS3, OpenCV, Android, Obj-C, etc). Experience deploying machine learning models on edge devices or in resource-constrained environments. Experience working in agricultural tech, bio-tech, or environmental science. Familiarity with spatial statistics or epidemiological modeling. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will play a critical role in advancing our mosquito-born disease eradication program, directly contributing to vector control and public health initiatives. You will sit at the intersection of computer vision, statistical modeling, and software engineering. You will be solving complex biological problems and writing the production-ready code required to deploy those solutions into the real world. Responsibilities Design, train, and deploy deep learning models to visually analyze mosquitoes in our production process. Build high-accuracy object detection and image segmentation pipelines to count mosquito pupae from complex, real-world image data. Leverage environmental data and biological parameters to model mosquito population dynamics, ultimately optimizing our mosquito release strategies and schedules. Take ownership of the full machine learning lifecycle and transition models from local research prototypes into scalable, highly available production environments. Work closely with entomologists, data scientists, and hardware engineers to leverage machine learning techniques to most effectively solve problems for the team. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 1 year of experience with security assessments or security design reviews or threat modeling. 1 year of experience with security engineering, computer and network security and security protocols. 1 year of coding experience in one or more general purpose languages. Preferred qualifications: Experience building or deploying automated tools (e.g., large language model based agents) for security workflows such as triage automation or bug fixing. Experience with cross-functional or cross-product teams. Experience consulting on security/security protocols. About the jobThere's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues. The new Singapore-based team will be dedicated to scaling our operations and risk reduction efforts through advanced automation and remediation.In this role, you will be a builder and a breaker, fostering a collaborative environment to achieve collective goals. You will have a technical foundation and cross-functional collaboration skills to manage complex security issues and operations. You should have a breadth of application security experience such as web security, mobile security, API security, authentication and access control, threat modeling, conducting security assessments, etc.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Develop agents and infrastructure to automate vulnerability handling, triage, and conduct variant analysis to reduce manual workloads. Contribute to a unified vulnerability analysis pipeline and dashboarding system to provide insights into emerging threats. Contribute to the Singapore-based triage and remediation rotation, ensuring effective vulnerability reproduction, severity assessment, and bug filing for incoming security reports. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 2 years of experience in program management. Experience in vendor or partner management for extended workforce operations. Experience with data analysis, metric definition, and reporting. Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Experience with data processing pipelines, data quality analysis, and applying AI/ML concepts to solve operational challenges. Experience in geospatial technologies, digital mapping, or large-scale data acquisition operations. Ability to manage budgets, forecasts, and lead complex agreement negotiations with external vendors. Ability to lead global projects and navigate complex regulatory and policy environments. Excellent communication and stakeholder management skills, with presenting to executive leadership. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.Responsibilities Lead large-scale outsourced Street View data collection programs. Manage the entire program lifecycle from strategic planning, scope definition, and budgeting to execution, new country launches, and performance monitoring. Oversee the imagery pipeline, from data collection and ingestion to publication. Collaborate with Engineering to troubleshoot technical issues, drive process automation, and support the launch and migration of new operational tools and systems. Utilize data analysis to define collection scope, optimize for coverage gaps, and improve data quality. Drive initiatives leveraging AI to enhance operational efficiency, such as in automated quality control and predictive modeling for collection goal. Act as a key liaison between cross-functional teams including Engineering, Product, Legal, Policy, Hardware Operations, and Finance to ensure alignment and navigate technical, regulatory, and policy requirements. Communicate program status, risks, and metrics to stakeholders and leadership. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience. 1 year of experience in technical program management, operations management, or managing technical pipelines. Experience working cross-functionally and coordinating with external vendors, partners, or suppliers. Experience with SQL and data analysis, with experience building performance dashboards to drive operational improvements. Preferred qualifications: Demonstrated experience deploying AI/ML models and automation tools to optimize operational workflows and large-scale data production pipelines. Experience managing cloud-based data ingestion pipelines and API integrations. Domain knowledge in geospatial data, mapping technologies or field data acquisition operations. Familiarity with camera/sensor hardware ecosystems and hardware fleet management. Ability to be an influential member of a highly integrated team composed of both technical and non-technical members. Strong problem-solving skills with a track record of troubleshooting complex pipeline bottlenecks and navigating ambiguous, global initiatives. About the jobA problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. In this role, you will be passionate about mapping and help build the future for Google Maps. We are responsible for acquiring and moderating the data that powers Google Maps. You will work with stakeholders across the globe to improve map data coverage and quality to keep Google Maps the best map.The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.Responsibilities Manage and scale Street View extended workforce data acquisition and pipeline operations across the APAC region and globally, overseeing vendor partners and managing operations previously managed within the team. Drive AI-driven global Street View pipeline improvements, focusing on automating projects like processing signals from the field using Gemini-based models to reduce manual overhead. Lead AI-based Street View scope improvements and purification for extended workforce countries, utilizing predictive modeling to efficiently aim complex environments like unpaved and narrow urban roads. Collaborate cross-functionally with Engineering, Hardware Operations, Legal, and Privacy to unblock hardware deployments. Design, build, and maintain executive dashboards using internal visualization tools to track operational metrics. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience with security assessments or security design reviews or threat modeling. 5 years of experience with security engineering, computer and network security and security protocols. 5 years of coding experience in one or more languages (Python, Go, SQL, JavaScript). 1 year of experience leading teams in a technical capacity or leading technical risk analysis in an enterprise environment. Preferred qualifications: Understanding of federated AuthN/AuthZ technologies (SAML, SCIM, OIDC). Understanding of networking concepts (protocols, topologies, encryption). Ability to perform technical security assessments of large complex systems. Ability to design and develop new security control implementations. About the jobThere's no such thing as a "safe system" - only safer systems. Our Security team works to create and maintain the safest operating environment for Google's users and developers. As a Security Engineer, you help protect network boundaries, keep computer systems and network devices hardened against attacks and provide security services to protect highly sensitive data like passwords and customer information. Security Engineers work directly with network equipment and actively monitor our systems for attacks and intrusions. You also work with software engineers to proactively identify and fix security flaws and vulnerabilities.You use your industry experience to own and drive the resolution of complex security incidents, policy questions and technical security issues. As a Senior Security Engineer on this team, you will act as a technical leader and mentor. You will be responsible for securing Google’s enterprise usage of third-party Software-as-a-Service (SaaS) platforms. You will help scale our capacity for incoming security vulnerabilities, build automated tooling to reduce manual workloads using AI, and drive risk insights and remediations. You will ensure all new SaaS launches are secure by performing security assessments and ensure the adoption of required security controls. You will mentor and guide other engineers, fostering a collaborative environment to achieve collective goals. With your technical foundation and exceptional cross-functional collaboration skills, you will manage complex security issues and operations. You will have a breadth of application security experience such as SaaS or cloud security, API security, authentication and access control, threat modeling, conducting security assessments, etc.The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Responsibilities Own the end-to-end security strategy for high-risk third-party SaaS platforms, identifying and driving solutions for complex, ambiguous security issues. Provide technical leadership and mentorship to junior engineers, guiding the development of scalable security controls and fostering a culture of engineering excellence. Architect and engineer advanced SaaS Security Posture Management (SSPM) solutions, leveraging AI/ML automation to reduce manual toil and improve operational visibility. Lead complex, cross-functional security assessments to derive actionable risk insights, ensuring Google's enterprise usage of SaaS remains resilient against evolving threats. Influence the broader SaaS security roadmap by collaborating with cross-functional stakeholders to define policies and drive the adoption of required security controls. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.