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Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 5 years of software development experience. Experience with PostgreSQL or other databases, including database internals and administration. Experience in designing systems and building managed services for databases or storage. Preferred qualifications: Experience in C++ programming and SQL. Experience with query processing and query optimization techniques. Understanding of relational databases and database Internals. About the jobIn this role, you will contribute to Cloud SQL, the relational database offering from Google Cloud platform that supports fully-managed database service hosting of PostgreSQL, MySQL and SQL server databases. You will enable customers to deploy highly available databases with focus on simplicity, reliability, durability, and performance at scale.You will work on one of the fastest growing product lines under Cloud SQL is Cloud SQL Postgres, which offers a managed service based on the immensely popular PostgreSQL open source database. You will support the data foundation for a rapidly growing customer base ranging from startups to Fortune 500 enterprises. Your mission is to offer the best managed Postgres service and developer experience for the customers.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Drive the technical enhancement and maintenance of the Cloud SQL Postgres service while actively contributing code and expertise to the open-source PostgreSQL community. Lead technical projects from planning to delivery while helping to define the team's long-term goal and engineering strategy. Collaborate with product managers, customers, and partner teams to define product roadmaps and contribute to broader GCP database initiatives. Foster an open, and innovative team culture while providing technical leadership in a fluid environment. 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.

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, etc). Experience developing or launching products or technologies within databases, analytics, big data, or a related area. Preferred qualifications: Experience developing and launching products and technologies within observability, enterprise software, or databases. Experience working with cross-functional teams (e.g., Engineering, UX/UI, Product/Program Management, etc.). Experience managing day-to-day tactical decision, technical and design direction. Experience with enterprise products, infrastructure or systems. Experience in creating and driving product goal, strategic product roadmaps, and product launch. Understanding of the cloud ecosystem, markets, and competition in depth. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will help Google navigate the tectonic shift by articulating a well thought out strategy and pull together a roadmap that will get Google there. You will collaborate closely with all parts of Cloud SQL and across databases to make this happen.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Identify product strategy for Cloud SQL Observability as Google navigates the AI landscape. Work closely with engineering to deliver differentiated and delightful product experiences. Work with Go-to-Market (GTM) teams to make customers successful and bring back actionable feedback. 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.

Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, a related technical field, or equivalent practical experience. 5 years of experience in data analysis, database querying (e.g., SQL), and BigQuery. Experience in scripting, working with code, or system design, and in leading projects. Experience mentoring and leading junior engineers. Experience in defining and implementing data governance policies, procedures, and standards. Preferred qualifications: Experience with Data Center Technology or Supply Chain. Experience with data analysis at scale, including statistics, and machine learning model development (data preparation, model selection, evaluation, tuning). Experience in scripting languages like Python for data manipulation, analysis, and automation. Experience with a wide range of data engineering and data governance tools and technologies, including cloud platforms (e.g., GCP), data warehousing solutions, data quality tools, and metadata management systems. Experience with collaborative coding and version control. Knowledge of data privacy regulations and compliance requirements. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Design, build, and maintain scalable and reliable data pipelines to ingest, process, and store data from various sources.This includes implementing robust data quality checks and monitoring systems to ensure data accuracy, integrity, and reliability. Write complex SQL queries for data extraction and transformation, enable both ad-hoc analysis and automated reporting. Conduct quantitative data analysis to support business decisions and identify opportunities. Partner with business stakeholders to understand their data needs, translate them into actionable technical designs and solutions.This includes collaborating with engineers, program managers, and product managers. Create and maintain dashboards and reports to provide actionable insights to stakeholders. Effectively communicate insights and drive the implementations. Develop tools and systems to automate data processes, and increase overall efficiency. Proficiency in programming languages (SQL, Python), and produce readable and well-structured code. 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.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field, or equivalent practical experience. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Machine Learning, Data Science, Economics, or a related quantitative field. Experience with developing machine learning models, launch experiments (e.g., A/B Testing), and end-to-end data infrastructure and analytics pipelines. Experience in developing new models, methods, analysis and approaches. Experience with classification and regression, prediction and inferential tasks, training/validation criteria for Machine Learning (ML) algorithm performance. Experience in identifying opportunities for business/product improvement and defining the success of initiatives. Ability to manage problems, with excellent communication and presentation skills to deliver findings of analysis. About the jobIn this role, you will partner with Product Manager (PM), engineer, User Experience (UX) and cross-functional teams to shape the product narrative and build or launch features.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.Responsibilities Perform analysis utilizing related tools (e.g., SQL, R, Python). Help solve problems, narrow down multiple options into the best approach, and take ownership of open-ended business problems to reach a solution. Build new processes, procedures, methods, tests, and components to anticipate and address future issues. Report on Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities. Build and prototype analysis and business cases to provide insights. Develop knowledge of Google data structures and metrics. Advocate for changes needed for product development. Collaborate across teams to align resources and direction. 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.

Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 2 years of experience in program management. 2 years of experience working in a data analytics development environment with supply chain applications through the full project life-cycle. Experience in database querying (SQL), data visualization, and leading analytics automation initiatives. Preferred qualifications: 5 years of experience in technical program management with knowledge in database querying (SQL), data visualization, and leading analytics automation initiatives. 2 years of experience managing cross-functional or cross-team projects. Experience with Data Center Technology or Supply Chain Space. Experience with monitoring and analysis tools. Experience working with statistics and Machine Learning such as Clustering, Supervised Learning. 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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Responsibilities Collaborate with team members and stakeholders to understand or identify defined work problems and program goals, obtain prioritized deliverables, and discuss program impact. Prioritize program goals, understand and translate other stakeholders’ needs into program goals and prioritized deliverables with minimal assistance, and contribute to decisions on prioritizing goals and deliverables. Define the scope of projects and develop, execute, or manage project plans for supported program(s). Partner with functional Supply Chain teams to define data analytics requirements and own the technical execution including visualizations and scripting within an Agile framework. Manage Program development of dashboards, data pipelines, and decision-support systems (including what-if analysis and models) to enhance the responsiveness and efficiency of Google’s infrastructure. 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.

Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. 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. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures, metrics, advocating for changes where needed for product development. 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Singapore; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 13 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 10 years work experience and a Master's degree). 5 years of experience as a people manager within a technical leadership role. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 15 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 6 years of experience as a people manager within a technical leadership role. Experience in product analytics within Payments, e-commerce, or financial services. Ability to manage sprint planning and execution across analysts, with clear alignment to executive leadership. Excellent initiative in unstructured environments, with attention to detail. About the jobYou will be joining a talented pool of team mates that care about the experience of users on Google Pay in India every month, and be part of the journey to make payments on GPay India simple, safe and reliable. The Payments team at Google is operating in an environment, in the midst of high growth and innovation, with an ambitious goal of building products that unlock opportunities for users, merchants and institutions.Google Payments analysts drive decisions by turning data into insight. Whether modeling business scenarios, optimizing funnels, or building high-impact metrics, your work builds roadmaps, marketing, and operations across countries. You will lead projects, balance detail with big-picture thinking, and provide executive leaders with critical planning and reporting support helping steer Payments through a period of growth.Responsibilities Define OKRs, evolve GPay India’s analytics strategy, and deliver insights at across new product bets in Consumer, Merchant, business generation, and Reliability. Drive clarity on ambiguous, stakes problems by independently structuring analyses and transforming complex data into actionable insights that influence VP- and Director-level decisions. Lead and grow a team developing talent, raising technical standards, guiding prioritization, and ensuring clear communication of insights to executive stakeholders. Introduce more statistical methods and problem-solving techniques, and advocating best practices to enhance the technical depth and impact of the team. Implement Gen AI–based approaches to automate insights, enable faster decision-making, and explore agentic analytics use cases across the Payments ecosystem. 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 8 years of experience with a Master's degree. 3 years of experience as a people manager within a technical leadership role. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 4 years of experience as a people manager within a technical leadership role. Ability to take initiatives and address ambiguous questions. Excellent data visualization skills. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. In this role, you will drive our initiatives to enable global operational excellence, advise the data-driven strategy for Geo’s critical emerging markets and provide insights that touch user journeys across the whole spectrum of the Maps space, from helping users find the best restaurant with a voice query to enable companies leveraging our APIs to service millions of people. You will manage a high-impact team of analysts to provide the data foundation necessary to steer Geo’s strategy across multiple organizational boundaries and large variety of executive stakeholders answering questions.Responsibilities Partner with stakeholders across multiple functions (Product Management/Program Management/Software Engineering/UX) to create data driven strategies accounting for a variety of users and requirements across geospatial use cases. Prioritize and communicate user needs, making recommendations and driving implementation for product or process changes to identify top challenges and key strategic growth opportunities. Perform large-scale data analysis, modeling, time series decomposition and more to identify opportunities for improvement and measure shifts in Engineering and Operations deployments worth $400M. Oversee the development of data layers, metrics and modeling to guide Geo Operations' AI Transformation. Expand investigative frameworks to synthesize consumer insights, developer perspectives, and routing quality to create holistic, end-to-end narratives for strategic Maps markets. Execute advanced attribution modeling to quantify the direct impact of data quality improvements on product growth, user reach, and engagement. 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.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 10 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 8 years of work experience with a Master's degree). 8 years of experience with data science and analytics in a technology or supply chain company. Experience in data model and data insight transformation. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 12 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). 4 years of experience as a people manager within a technical leadership role. Experience with data, metrics, analysis and trends, with the knowledge of measurement, statistics and program evaluation. Ability to synthesize multiple data points, points of view and analyses into actionable and meaningful insights. About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. The mission of Cloud Supply Chain Data (CSCD) Data Science and Product team is to build productivity and data products, develop AI/ML/statistical models and provide prescriptive insights to help CSCD define and achieve business goals. We help make Google Cloud supply chain and Data Centers by enabling data-informed decision making and product innovation.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Responsibilities Manage Bengaluru Center of Excellence for Cloud Supply Chain and Operations, Data Science and Product team. Lead a portfolio of programs in developing ML/Statistical models, conducting diagnostic analytics research, crafting prescriptive insights. Guide problem framing, metrics development, data extraction and manipulation, visualization, and story telling for the team. Provide thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business). Oversee the integration of cross-functional and cross-organizational project/process timelines, develop process improvements and recommendations, and define operational goals and objectives. 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.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years work experience with a Master's degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience with Google Ads products and technologies. Familiarity with privacy-preserving technologies and data regulations (e.g., GDPR, CCPA). Knowledge of machine learning techniques and their applications in advertising. Understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and Media Mix Modeling (MMM). About the jobHelp serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.Responsibilities Execute defined, moderately difficult analytical tasks under guidance from the manager or team member/team lead. For straightforward problems, execute end-to-end analysis with minimal guidance. Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products.  Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners. Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. 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.