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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 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 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. 3 years of experience in a data engineering, data infrastructure, or data analytics role. Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. Preferred qualifications: Experience with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience with data analysis, including statistics, and ML model development (data preparation, model selection, evaluation, tuning). Experience in scripting languages like Python for data manipulation, analysis, and automation. Ability to monitor, troubleshoot, and tune data systems and pipelines to improve efficiency. Ability to develop tools and systems to automate data processes, and increase overall efficiency, with proficiency in programming languages (e.g., SQL, Python), producing readable and well-structured code. Ability to deliver and maintain data projects from conception to production. About the job Google Play provides apps, games, and digital content services that bring Android devices to life. The Play Store serves over four billion users around the world, and is a critical driver of Google’s overall business growth. The Play Data Science and Analytics (DSA) team works on a variety of challenging data science projects to drive product and go-to-market decisions for Play. Our goal is to Power Play’s growth by building a deep understanding of our users and developers, enabling data-driven decision making, through insights, thought leadership, and unified data foundations.As a Data Engineer on the Play Data Science and Analytics team, you will take a significant role in designing and building the next generation of our data infrastructure. You will be responsible for architecting, implementing, and optimizing complex, scalable data pipelines, moving beyond basic development to own key components of our data warehouse. This role requires a technical expert who can manage massive datasets, write highly efficient SQL and Python code, and collaborate effectively with senior stakeholders and engineers. You will build innovative data foundations and AI-driven insights solutions while helping to define the standards and best practices that elevate the entire team, driving data quality and AI-readiness initiatives. Responsibilities Design, build, and maintain scalable data pipelines to ingest, process, and store data from various sources. Implement data quality checks and monitoring to ensure accuracy and integrity. Write complex SQL queries for data extraction and transformation to enable ad-hoc analysis and automated reporting. Conduct quantitative analysis to support business decisions. Develop and manage scalable data foundations and models specifically designed to support AI/ML initiatives and AI-driven insights. Develop, test, and deploy intelligent agents using Python and the Google ADK framework to automate tasks like data analysis and system orchestration. Partner with executive stakeholders and data scientists. 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 a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. Preferred qualifications: 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. 3 years of experience in data analysis, data science, or a related quantitative role. Experience in SQL for data extraction, transformation, and analysis. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. The Quality Analytics team operates in a critical environment, providing comprehensive analytics for Channel enforcements that rely on complex tooling and hybrid human-AI review systems. We manage a consistent schedule of executive reporting, where frequent and significant policy changes directly impact System Level Precision (SLP), Root Cause Analysis (RCA) loops, and core creator experience metrics (such as appeals and reinstates). As the demand for sophisticated insights continues to accelerate, this role is critical in navigating this increasing complexity, assessing quality-vs-cost trade-offs, and driving decision-making across our extended workforce and detection pipelines.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Maintain and improve quality metrics and risk profiling frameworks for Channel enforcements, ensuring consistency in reporting and socialization across stakeholders. Manage and drive RCA processes for both human and automated actions, identifying trends in new abuse vectors that fall outside standard Trust Safety (TnS) policies. Design and implement label-based quality experiments for detection enablement; perform estimation of Precision/Recall and summarize findings to inform policy and detection strategy. Monitor the quality-vs-cost trade off between various workforce tiers, providing data-driven recommendations for resource allocation. Build and maintain automated data pipelines and reporting dashboards that provide vendor-level and agent-level insights to Global Vendor Operations (GVO) for performance management. Partner with YouTube Data Science, Scaled Abuse, and GVO teams to support the launch of metrics infrastructure and resolve technical issues. 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. 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 2 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master's degree in a quantitative discipline. 2 years of experience or familiarity with one or more of the following languages: SQL, R, Python, or C++. Experience in data analysis, including identifying trends, generating summary statistics, and drawing actionable insights from both quantitative and qualitative data. Experience in identifying and mitigating fraud and abuse dynamics within online platforms. Proficiency in SQL (e.g., BigQuery, MySQL) and Python for data manipulation and analysis along with experience with prompt optimization to tune Large Language Model (LLM)-based models, specifically optimizing for statistical metrics such as precision and recall. About the jobFast-paced, dynamic, and proactive, YouTube’s Trust and Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world. As an Engineering Analyst, you are passionate about technologies and have experience with analyzing data and scaled systems of review. You will grow in a fast, dynamic, demanding environment where no two days are ever the same. You will be a key contributor, independent, critical thinker with sound metrics judgment who has a passion for solving technological challenges and setting scalable standards.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Apply advanced statistical methods using SQL and Python to analyze large, complex datasets to identify abuse trends, develop signals, and provide data-driven recommendations for the YouTube ecosystem. Collaborate with Engineering, Product, Policy and Vendor teams to create and enhance anti-abuse tools, improve system accuracy; leverage data pipelines to drive automation opportunities. Investigate vulnerabilities through deep-dive analysis, contribute to developing new workflows against emerging abuse vectors, and design and maintain high-impact, leadership-level dashboards that translate complex anti-abuse metrics into strategic narratives for executive stakeholders. Drive complex projects through the full life-cycle, partnering with stakeholders in engineering, policy and vendor operations to drive solutions. Manage project schedules, respond to internal/external escalations within Service Level Agreement (SLAs), and participate in an on-call rotation. 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. 5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL). Strong understanding of digital advertising measurement concepts, including attribution modeling, incrementality testing, and media mix modeling (MMM). Excellent communication and presentation skills with the ability to influence stakeholders. 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. Measurement is a cornerstone of performance advertising, driving the majority of Google Ads business growth. Accurate and unbiased measurement empowers bidding engines to maximize advertiser ROI, fostering growth for both advertisers and Google. The Product Analyst team applies advanced analytics to guide Google Ads strategy in this crucial area, ensuring that the advertising solutions effectively connect businesses with customers and deliver measurable results across the various ad platforms.Responsibilities Collaborate with Product Managers, Engineers, and Research Scientists to define and track key performance indicators (KPIs) for Google Ads measurement products. Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that inform product strategy and development. Communicate complex data and analysis in a clear and concise manner to various stakeholders, including product leadership, engineering teams, and business partners. 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. 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 programming in C++. 5 years of experience testing, and launching software products. 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture. 3 years of experience with software design and architecture. Experience with big data, data analytics, SQL, object-oriented analysis and design, and SQL pipelines. Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science, or a related technical field. 8 years of experience with data structures and algorithms. 3 years of experience in a technical leadership role leading project teams and setting technical direction. 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects. 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. Google One (G1) is Google's membership for personal cloud storage and Google's cutting-edge AI features. G1 is one of Google's fastest growing subscriptions, with over 150 million subscribers. This is a unique opportunity to be part of a high-impact team, shaping the future of our subscriber experiences, premium features and business growth initiatives.Responsibilities Own the technical strategy and outcomes for the Analytics data platforms that power Google One (G1) and Google Photos. Navigate high levels of ambiguity to drive architectural decisions for multi-quarter initiatives that impact financial compliance, AI data strategy, and infrastructure scalability. Own the long-term technical strategy and outcomes for complex, multi-quarter data platform initiatives that support global consumer products and large-scale user bases. Clarify and make tractable large, ambiguous technical problems where high-level solutions are not yet defined, translating broad business needs into scalable architectural goals. Act as the primary architect for data ingestion from different internal products and privacy frameworks, ensuring secure and standardized data handling across major strategic partner surfaces. Identify, and resolve scaling bottlenecks by designing high-performance solutions. 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, 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, 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). Experience in product analytics within payments, e-commerce, or financial services. Ability to take initiative in unstructured environments with a bias for action and sharp attention to detail. 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. As a Product Data Scientist for FOP Optimization, you will shape Payments products and solutions, helping our leaders make data-driven decisions. You will lead a critical part of the payments routing infrastructure, Smart Router, that utilizes machine learning and AI to process first-party transactions across Play, YouTube, Ads, and more. You will drive analytics for the form of payment (FOP) optimization, building on success metrics, driving insights, and driving global launches. You will also play a critical role in our interactions on Business-to-Consumer (B2C) analytics with Play and YouTube to optimize buyflows, purchase readiness, conversion, and UI on these critical Google products.Responsibilities Play a critical role in shaping the future of Google Payments by leveraging data and analytics to drive decisions, influencing strategy, and creating business impact across the organization. Identify and solve ambiguous, high-stakes problems, transforming data into clear insights that directly influence leadership decisions (e.g., VPs and directors). Lead complex projects that combine analytical precision with organizational strategy, delivering clear insights that inform tangible business decisions. Contribute to the development and alignment of team objectives and key results and analytics strategy to ensure they support broader product and business goals across the Payments organization. Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision making. 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. 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields. Experience working with SQL, coLaboratory, Python. Experience in data analysis and working with datasets or LLMs. Preferred qualifications: Master's degree in relevant field. Experience in SQL, building dashboards, data collection/transformation, visualization/dashboards, or in a scripting/programming language (e.g., Python). Experience with machine learning. Experience using statistical analysis and hypothesis testing. Excellent communication and presentation skills and the ability to influence cross-functionally at various levels. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will analyze User feedback to identify opportunities of improving Policy enforcement on Google Ads. We value User and implement solutions to improve coverage, extract value for the feedback (i.e., Enforcement leads and opportunities to improve our policy coverage, Large Language Models (LLMs)/models to identify opportunities) and build solutions to make user accessible to product and enforcement.At Google we work hard to earn our users’ trust every day. Trust Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Responsibilities Perform complex data analyses to derive insights that help identify and fight abuse across our products. Own technical implementation of production-level pipelines, documentation, check-in process, etc. Use technical judgement to drive project delivery, challenge proposals and identify risks. Manage multiple interdependent projects of moderate to high complexity and scope against crashed timelines. Collaborate with other teams and functions: product, legal, sales, cross-fucntional teams, Policy, among many others. Improve tools through data analysis, technical expertise, and presentations to key stakeholders. Enhance our operational workflows via process improvements and identification of automation opportunities. 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, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative 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: PhD in a quantitative field. 10 years of experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. 5 years of leadership experience, including people management. Experience with Machine Learning (ML) on large datasets, with the ability to select the right statistical tools in a given data analysis problem. Understanding of potential outcomes framework and with causal inference methods such as split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators, with knowledge of structural econometric methods. Ability to set and drive technical strategy. About the jobAs a Technical Lead on Google’s Advertising Measurement team, you will apply scientific aptitude, excellence, precision, accuracy, expertise, thoroughness and statistical expertise to navigate the complex challenges of a global, privacy-preserving advertising ecosystem. Google is a pioneer in sustaining an open internet through a mutually-reinforcing cycle of ad-planning, optimization, and measurement; in this strategic leadership role, you will be the recognized authority driving that cycle forward. You will develop, organize, and launch large-scale projects spanning engineering and analysis across Search, Display, YouTube, and beyond. By translating advanced science specifically causal inference and quantitative methodologies into deployed products, you will lead the charge in defining paradigm-shifting measurement standards for the future of digital advertising. Working cross-functionally with Engineers, Product Managers, and Sales, you will adjust global strategies based on your findings, ensuring advertising remains useful for users and results-driven for publishers. We are seeking quantitatively trained experts with a passion for business strategy and a deep appreciation for consumer behavior. In this role, you won’t just improve products; you will empower an exceptional team to shape the marketing-technology industry globally. If you thrive in fluid, science-driven environments and are ready to leverage data and technology to solve modern advertising’s greatest challenges, your leadership will be the catalyst for the next era of innovation.Responsibilities Apply causal inference and differential privacy methods to design experiments, assess attribution, and develop privacy-preserving marketing products. Execute end-to-end analyses including data gathering, EDA, and model development to deliver strategic insights to executives. Build iterative analysis pipelines and prototype data structures to provide scalable insights across Google’s complex data ecosystems. Collaborate with Product and Engineering team to define and answer quantitative questions regarding incrementality, user behavior, and bidding optimization. Provide technical guidance and prioritization for the team, conduct cost-benefit analyses to drive high-level business decisions and product strategy. 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. 5 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in Salesforce platform architecture, Apex, Lightning Web Components and platform features. Experience designing and implementing AI agents, Generative AI, LLM-based applications and AI concepts and trends. Preferred qualifications: Experience with databases, including SQL coding across standard commercial databases (e.g., Oracle, Teradata, MS SQL Server, etc.) Strong general programming proficiency with experience in languages such as Apex, Java, JavaScript, or Python. Deep understanding of core computer science concepts, including system design, data structures, and application servers. Strong foundational knowledge of core architectural domains, including identity and access management (IAM), system integration, security architecture, large data management and DevOps practices. Demonstrated ability to build consensus across cross-functional teams, navigate complex stakeholder environments, and effectively influence strategic decision-making. Exceptional problem-solving skills, sharp investigative thinking, and impeccable business judgment. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. In this role, you will join the Technology team that builds modern tools, techniques, and methods to design and develop platform solutions across the business. You will lead development efforts to create technical solutions based on understanding of business requirements. Partnering with Product and Engineering teams, you will play a critical role in defining the technical strategy and shaping the future of applications across play commercial operations.The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world.Responsibilities Lead the design, development, and deployment of applications and tools on the Salesforce platform, web applications, and AI initiatives across Go-to-Market (GTM) teams. Architect and implement generative AI features, LLM-based applications, and self-supporting agents to drive business automation and intelligence. Partner closely with senior product, engineering, sales, marketing and operations management to understand systems needs, and ensure systems strategy and development are integrated effectively into the business. Partner with Development teams to ensure that technical solutions align with overall architecture standards. Develop and run global projects end-to-end, including ownership to ensure successful planning, execution, analysis and communication of projects. 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.