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At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in software engineering, software infrastructure engineering, security, big data and analytics, cloud computing, or cloud networking. Experience with infrastructure, storage, platforms and data, as well as the cloud market and customer buying behavior. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience in technical sales or consulting in cloud computing, data analytics, and big data. Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems. Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures. Understanding of customer requirements with the ability to break down requirements and design technical architectures. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with Technical Sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to perform designing of data foundation architectures and develop MVPs (Minimum Viable Products) to promote new, highly specialized solutions to customers. You will solve analytics-centered customer issues and provide a critical feedback loop to unblock customers and influence product development. You will leverage excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud.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 win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use case identification, technical evaluation, and through customer ramp. Combine business strategies, development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts. Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships. Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-to-Market team. Provide critical feedback from customer engagements to Product and Engineering teams to improve architectures and solutions. Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and 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.

Applicants to this role must have work authorization in Australia. This role is not eligible for work visa sponsorship.At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience in promoting analytics, data warehousing, or data management software. Experience with planning, pitching, and executing a territory business strategy. Experience in working with sales engineers and customer technical leads to build business cases for transformation and plans for implementation. Preferred qualifications: Experience with market leading Business Intelligence (BI), data analytics middleware, or data warehouse technologies. Knowledge of data analytics technology stack (e.g., Hadoop/Spark, Columnar data warehouses, data streaming, Extract, Transform, and Load (ETL) and data governance, predictive analytics, data science framework). Knowledge of Google Cloud Data and Analytics (e.g., BigQuery, Looker, Pub/Sub). Ability to engage with audiences through social channels and deliver messages. Ability to collaborate with executive stakeholders as a business advisor and thought leader in data and analytics. Excellent business and investigative skills with using data to inform decisions and collaborate with stakeholders. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. In this role, you will build an understanding of customer's businesses and bring expertise to executive-level relationships to help them deliver their strategies. You will leverage expertise promoting data analytics and work with Account teams, Customer Engineering, and Partners to ensure customer results.Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions and expertise. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology – all on the cleanest cloud in the industry. 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 Calibrate business against the objectives and key results, and report the state of the business for the assigned territory. Build and maintain executive relationships with customers as the data analytics subject matter expert. Develop and execute account plans including enterprise plans across key industries. Focus on building accounts. Assist customers in identifying use cases suitable for Google Cloud Data and Analytics solutions, providing solution differentiation and business impact. Work with Google account and technical teams to develop and drive pipelines, and provide expertise. Develop Go-To-Market (GTM) efforts with Google Cloud Platform partners. 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Applicants must have a right to work in Australia as Google is currently unable to sponsor a visa for this position.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Melbourne VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of experience with cloud native architecture in a customer-facing or support role. Experience in pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Experience in pre-sales management or people management on a data analytics-related or technical team. Experience with data analytics technologies or concepts, cloud, and on-premise technologies. Preferred qualifications: Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion. Experience tailoring and delivering compelling messages to audiences, asking strategic questions, and leading conversations that drive business opportunity. Experience in Big Data, including analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming. Ability to be a thought leader in data analytics and adjacent practice areas, specializing in technical sales and strategizing around customer and industry solutions. About the jobWhen leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products. Specialist Customer Engineers seek to accelerate Google Cloud customer success by providing domain-specific technical expertise, while responsibly influencing products and solutions.As a Customer Engineering (CE) Manager, you lead and deploy a team of subject matter experts responsible for working alongside our customers to provide trusted technical and solution advice to accelerate workload migration and remove technical impediments.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 Lead a team of technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development, and opportunity coverage to deliver successful cloud transformation outcomes for customers and accelerate business goals. Execute the technical goal and strategy for your region’s data analytics practice. Lead the broader region's data analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing. Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled. Lead technical engagements with strategic customers, working with cross-functional peers to plan customer engagements. Travel up to 25% to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud. 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.

Applicants must have a right to work in Australia as Google is currently unable to sponsor a visa for this position.At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Docklands VIC, Australia; Sydney NSW, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 12 years of experience in a sales role in the enterprise software or cloud space. Experience selling data analytics or data management technologies to clients. Experience with relevant technical stacks and Google Cloud Data Analytics offerings (e.g., Predictive Analytics, Hadoop/Spark Data lakes). Experience in a leadership role within a quota-carrying team, such as people management, team lead, mentorship or coaching. Preferred qualifications: Experience with people and business management, supporting career development of a high-performing sales team and business growth. Experience planning and organizing go-to-market strategies, business programs, and sales activity within the team and territory. Experience in, or supporting, travel, logitstics, energy, or manufacturing industries. Experience influencing cross-functional teams to impact business goals, customer experience, and expansion. Understanding of products, solutions, and market trends, with the investigative abilities to analyze sales performance data or market changes, to drive direction. Excellent problem-solving, communication, presentation, listening, and program management skills. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data Analytics Sales Specialist Manager, you will lead a team responsible for growing our Data Analytics business by building and expanding relationships with new and existing customers. You will effectively build relationships with internal stakeholders (e.g., Field Sales, Customer Engineering, Solution Architecture, Product) and customers, supporting the team to do the same. You will ensure your team has the necessary selling skills to demonstrate product functionality and comprehensive overviews of key business use cases, and close business. You will support a positive, high-performing team culture, while leading with empathy and identifying ways to multiply the impact of the team as a whole to drive overall value for Google Cloud.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 Foster a positive and high-performing team culture, support the team to drive a pipeline, manage business-cycles from lead generation to customer onboarding, and meet and exceed business goals. Develop and own the go-to-market (GTM) plan to scale and impact your business in key areas, including business, new customer growth, expansion, and referenceability. Partner with Field Sales, Marketing, Customer Engineering, Customer Success, Channels, Product, and Engineering to understand customers needs, impact messaging and collateral, and provide excellent prospect and customer experience. Expand relationships to influence long-term tactical direction and be a trusted advisor to your team and their accounts. Inspire executives at prospective customers to partner with Google. Represent your business in forecasts, town halls and meetings, report forecasts and business performance in Salesforce and other tools. 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.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, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Experience in collaborating with engineers, product managers on product-centric insights. Excellent Python/R programming skills. Excellent communication or presentation skills. About the jobGoogle Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.Responsibilities Analyze user trends utilizing related tools (e.g., SQL, R, Python). Help to solve problems, narrow down multiple options into the best approach, and take ownership of open-ended business problems to reach an solution. Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues. Define and report on Key Performance Indicators (KPIs) to align business direction with the cross-functional/organizational leadership team. Translate analysis results in business insights or product improvement opportunities. Identify growth opportunities for the product and business through analysis, insights and communication. 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience with cloud native architecture in a customer-facing or support role. Experience in deployment planning, orchestration, or change management. Experience in programming languages, debugging, or systems design. Experience engaging with, presenting to, or influencing technical stakeholders or executive leaders. Preferred qualifications: Experience promoting technical solutions in one or more of the following areas: Infrastructure Modernization, Application Modernization, Data Management, Data Analytics, AI, Networking, Migrations or Security. Experience with object-oriented programming languages (i.e. Python, Java), and using technical insights to remove blockers and accelerate customer deployment. Experience with Google Cloud products and differentiation from competition. Experience working with product and capacity teams to resolve technical and capacity blockers. About the jobAs a Google Cloud Platform (GCP) Outcome Customer Engineer (OCE), you will drive initial and ongoing business ramp for our customers, clearing blockers and ensuring they get the benefit from their investment faster. You will manage and execute the deployment plan, transitioning scoped workloads into production by providing technical leadership to customers and partners. You will have a direct impact on the velocity and incremental consumption of customer workloads, leading to accelerated value realization, adoption, and future expansion opportunities.You will blend business expertise, market knowledge, direct technical engagement, and technical project management to prove the value of the Google Cloud portfolio.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 Develop and orchestrate a structured deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness (e.g., capacity, training). Employ coding, debugging, or systems design to resolve technical blockers and accelerate deployment. Drive and track progress of the initial and ongoing ramp of workloads, moving customers from agreement to consumption. Identify expansion opportunities for new workloads within the account during project execution. Drive product usage to help customers realize value on an ongoing basis and secure future agreement renewals. 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications:Bachelor's degree or equivalent practical experience.10 years of experience in enterprise technology sales.3 years of experience in cloud, data, analytics, or AI/ML.Preferred qualifications:Experience promoting Large Language Models (LLMs), agents, or generative technologies.Experience in the regulatory and operational data requirements of specific industries (e.g., Financial Services and Insurance (FSI), Retail, Telco, or Manufacturing).Experience working at a cloud provider, system integrator, or AI-native firm.Ability to explain AI agents, Retrieval-Augmented Generation (RAG), fine-tuning, vector search, and inference scaling including their impact on business outcomes.Ability to build business cases involving consumption economics.Ability to plan territories, perform stakeholder mapping, and execute multi-stage agreement cycles.About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an Artificial Intelligence (AI) Sales Specialist, you will lead the enterprise transition from AI exploration to production. Working at the intersection of technical depth and commercial strategy, you will help customers navigate the journey from initial pilots to scalable systems that generate measurable Return on Investment (ROI).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.ResponsibilitiesGuide customers through the pilot-to-production journey by distinguishing between model APIs and full platform value to drive scalable decisions.Develop business cases by modeling Total Cost of Ownership (TCO), explaining inference cost scaling, and articulating the return on investment (ROI) of build-versus-buy decisions.Navigate value patterns, including business generation (e.g., customer experience), efficiency (e.g., automation), and decision augmentation (e.g., insights).Position AI agents within an industry context by explaining how data proximity, governance, and operational coherence (e.g., Machine Learning Operations (MLOps)) on Vertex AI create a measurable advantage.Leverage a team of Field Sales Representatives (FSRs) and Customer Engineers to activate partners, scale industry-specific initiatives and accelerate implementation. Establish project timelines and forecasts based on technical requirements and executive sponsorship.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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Docklands VIC, Australia.Minimum qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. 5 years of experience in designing, building, and deploying technical solutions. Experience in deployment planning, orchestration, or change management. Experience in programming languages, debugging, or systems design. Experience engaging with, and presenting to, technical stakeholders and executive leaders. Preferred qualifications: Experience developing, documenting, and communicating, enterprise architecture and solutions which span multiple technology and organizational domains. Experience in technical project management for Cloud and AI workloads (e.g., production deployment planning, orchestration, and change management). Experience in one or more of the following areas such as infrastructure modernization, application modernization, data management, data analytics, Cloud AI, networking, migrations or security. Experience developing applications with AI features and capabilities, using proprietary or open models and frameworks, including prompt and context engineering, and external systems integration. Experience communicating technical concepts to both technical and non-technical audiences, including executive stakeholders. About the jobAs an Outcome Customer Engineer, you will combine the technical expertise with an ability to lead the execution of enterprise AI workloads from proof-of-concept to production. You will be working on the Gemini enterprise engagements, forward-deployed to unblock and accelerate customer adoption and sustained usage with direct impact on customer business outcomes and Google Cloud business. You will create, manage, and execute the deployment plan, transitioning Gemini Enterprise license agreements into production workloads by providing technical leadership to customers and partners. You will have a direct impact on the consumption of customer license agreements, leading to accelerated value realization, higher adoption, and future expansion opportunities. You will blend business prowess, market knowledge, technical expertise, and technical project management to prove the value of Google Cloud products.Responsibilities Develop and orchestrate a structured, AI deployment plan across customer and partner teams, clearing architectural blockers, and ensuring organizational readiness for the launch. Execute technical unblocking for key workloads, including writing enterprise grade code, debugging Gemini enterprise and third-party IT solutions, and architecting enterprise AI solutions. Drive and track the activation of Gemini enterprise licenses, moving customers to active consumption by executing ramp plans, ensuring quick transitions from basic adoption to advanced AI-assisted workflows. Identify opportunities to expand the AI footprint within the account. During execution, you will spot new use cases such as reasoning tasks or multi-modal agents that drive cross-functional adoption and justify new license agreements. Drive sustainable product usage to help customers realize value on an ongoing basis and secure future agreement renewals. 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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience with cloud native architecture in a customer-facing or support role. Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms. Experience engaging with, or presenting to, technical stakeholders or executive leaders. Experience in programming languages, debugging, systems design, prototyping, demos, or customer workshops. Preferred qualifications: MBA or Master's degree in Computer Science or a related field. Experience with WAN/internet-related technologies and architectures across SaaS, PaaS, IaaS, and cloud productivity suites. Experience architecting and developing software or infrastructure for scalable and secure distributed systems and with application development technologies. Experience with relational databases, NoSQL databases, or Big Data technologies and containers. Experience working with, and passion for, the small medium business and digital native customers. About the jobAs a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to the customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business challenges. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business challenges. You will drive the technical win and define the delivery and consumption plans. You will use your strategic acumen and presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.You will focus on identifying, pursuing, and winning new business workloads and driving penetration within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.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 Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers. Share in-depth Google Cloud expertise to support the technical relationship with customers, including technology advocacy, support bid responses, product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud. Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud. Acquire new logos, create and build customer relationships from scratch, and establish yourself as a trusted advisor on their long-term technology and business decisions.  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.

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sydney NSW, Australia; Docklands VIC, Australia.Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in managing project and delivering technical solutions. Experience in one or more discipline areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, or artificial intelligence. Experience with technical client service (e.g., consulting experience). Preferred qualifications: Experience in systems design with ability to architect and explain data analytics pipelines and data flows. Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, CNTK, Torch, Caffe, Scikit-learn. Experience building cloud-based conversational AI solutions. Experience with generative AI products, technologies, or infrastructure. Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks). Excellent communication, written, presentation and problem-solving skills. 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.As an Artificial Intelligence/Machine Learning (AI/ML) Consultant, you will work directly with Google’s most customers on critical projects to help them transform their businesses using AI/ML technologies. You will help our customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consulting and technical aptitude to customer engagements while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work closely with key Google partners currently servicing accounts to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice expertise. You will possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. You will know how to navigate ambiguity, and you will be a technical expert in your field, and you can deliver customer success. You will have excellent client-facing communication and project management skills.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 Work with customer technical leads, client executives, and partners to scope, manage and deliver successful implementations of Cloud AI solutions, becoming a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based machine learning solutions according to customer requirements and implementation best practices. Work with internal specialists, Product, and Engineering teams to package approaches, best practices, and lessons learned into thought leadership, methodologies, and published assets. Interact with Sales, Partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel approximately 30% of the time for client engagements. 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.