Alphabet Inc (Alphabet), the holding company of Google, is a global technology company. It offers a wide range of products and platforms, including search, maps, calendar, ads, Gmail, Google Play, Android, google cloud, chrome, and YouTube.
Analytical Lead, Large Customer Sales
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience in media analytics, advertising sales, digital media and marketing, consulting, or financial analysis.
Preferred qualifications:
- 1 year of experience with marketing measurement and attribution techniques (e.g., offline measurement, MMM, MTA, attribution) and Google advertising products (e.g., Google Ads, Google Analytics, Google Marketing Platform, etc).
- 1 year of client-facing experience, with a track record of influencing across levels.
- Knowledge of SQL, databases, and basic automation techniques (e.g., dashboards, automating custom reports, materializing tables).
- Ability to analyze large datasets and distill them into actionable insights that are presented in a logical and compelling story.
- Strong written and verbal communication skills with comfort delivering simple and compelling stories.
About the job
Businesses that partner with Google come in all shapes, sizes and market caps, and no one Google advertising solution works for all. Your knowledge of online media combined with your communication skills and analytical abilities shapes how new and existing businesses grow. Using your relationship-building skills, you provide Google-caliber client service, research and market analysis. You anticipate how decisions are made, persistently explore and uncover the business needs of Google’s key clients and understand how our range of product offerings can grow their business. Working with them, you set the vision and the strategy for how their advertising can reach thousands of users.
Our Large Customer Sales teams partner closely with many of the world’s biggest advertisers and agencies to develop digital solutions that build businesses and brands. We enjoy a bird’s eye view on the massive transformation occurring as advertising shifts to mobile and online platforms. We’re uniquely situated to help shape how companies grow their businesses in the digital age. We advise clients on Google’s broad range of products across search, video and mobile to help them connect instantly and seamlessly with their audiences.
The US base salary range for this full-time position is $101,000-$147,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Provide support and consulting on client’s/partner’s strategy in the areas of sales, marketing and/or product development, and translate data into answers to business questions and/or insights to facilitate business decision-making.
- Develop and own analytical modeling for key client/partner projects, apply and/or customize analytical tools (e.g., dashboards) and frameworks to identify opportunities, and develop solutions to optimize client/partner business and maximize the use and effectiveness of Google products.
- Collaborate with sales teams to drive business growth with clients/partners, conduct in-depth analysis and identify business opportunities, and support the development of go-to-market business pitch and marketing collateral.
- Build and manage relationships with client/partner stakeholders across functions and levels, and own the relationship with the data/analytical stakeholders on the client’s/partner’s side.
Digital Transformation Consultant, AI Solutions, gTech
Minimum qualifications:
- Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
- 6 years of experience in either system design or in one programming language (Java, C++, Python, etc.).
- 6 years of experience in technical troubleshooting, and managing internal/external partners or customers.
Preferred qualifications:
- Master’s degree in Engineering or Business.
- Experience in one or more areas of Google Ads products.
- Knowledge of evolving tech/AI roadmap in support environments.
- Ability to identify and deploy tech solutions in partnership with regions, product, and tools teams.
- Excellent problem-solving skills, with the ability to synthesize data into useful formats and bring insights through communication.
- Excellent program management skills and ability to influence senior stakeholders.
About the job
gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
The US base salary range for this full-time position is $142,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Identify and evaluate potential AI use cases across all customer support functions. Conduct proof-of-concept projects to validate the feasibility and impact of proposed AI solutions.
- Collaborate with cross-functional teams to explore and experiment with new AI technologies and approaches. Contribute to a culture of innovation and continuous improvement within the team and the wider organization.
- Design, develop, and implement AI-powered solutions that address identified customer support challenges and collaborate with different engineering and product teams. Provide signals to partner teams to ensure efficient AI Operations and help refine models to improve their factuality and usefulness.
- Develop plans to scale successful AI solutions across the entire Ads customer support organization. Identify opportunities for automation and process optimization using AI.
- Develop and improve scaled AI/ML model evaluation programs and AI Ops.
UX Motion Designer, YouTube Ads Creative
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 4 years of motion design experience in product design or UX/UI animation.
- Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).
Preferred qualifications:
- Master’s degree in Design, Human-Computer Interaction, Computer Science, or a related field.
- Experience with technical constraints and limitations as they apply to responsive design for platforms such as desktop and mobile.
- Ability to lead and ideate products from scratch and improve features, all with a user-centered design process.
- Ability to communicate complex, sometimes abstract, design concepts clearly and persuasively to influence product design strategy.
- Excellent problem-solving skills.
About the job
At Google, we follow a simple but vital premise: “Focus on the user and all else will follow.” Google’s Motion Designers collaborate with cross-functional partners to create desirable and relevant product experiences that consistently elevate the Google brand. They help people make sense of their world by choreographing experiences that feel fluid, natural, and informative.
Google User Experience (UX) is made up of multi-disciplinary teams of UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers: we care deeply about the people who use our products. The UX team plays an integral part in gathering insights about the attitudes, emotions, and behaviors of people who use our products to inspire and inform design. We collaborate closely with each other and with engineering and product management to create industry-leading products that deliver value for the people who use them, and for Google’s businesses.
As a Motion Designer, you’ll apply your passion for animation to simplify complex interactions and solve challenging design problems. You’ll help define and implement Google’s motion design language and you’ll think critically about how motion reinforces Google’s UX brand, enhances interactivity, and delights our users.
We are the Creative team and we democratize advertising on YouTube by making formats that are simple, unified, intentional, flexible, modern, and performant. We combine formats with assets, using state of the art technology to enhance and generate entirely new assets.
Advertisers trust us to tell their stories on their behalf, and to represent and elevate their brands. We conduct experiments, provide insights, and deliver these Ads via personalization at scale that can only exist at Google.
Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.
Responsibilities
- Collaborate with product managers, engineers, and cross-functional stakeholders to understand requirements, and provide creative, thoughtful solutions.
- Communicate the user experience at various stages of the design process with wireframes, flow diagrams, storyboards, mockups, and/or high fidelity prototypes.
- Integrate user feedback and business requirements into ongoing product experience updates and advocate for the prioritization of design centered changes, refinements, and improvements.
- Demonstrate detail-oriented animation, based on timing and relationships.
- Contribute to motion system development and production for asset-based creatives on YouTube, translating this work into documentation.
Data Center Technician, Machine Learning Support
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
- Experience with performing component-level repairs on IT equipment.
- Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
- Ability to work non-standard hours, including working weekends, holidays and on shift-based schedule as required.
Preferred qualifications:
- Certification in online Google IT Support Professional program.
- 2 years of experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
- Experience working within a data center or network operation center environment.
- Ability to collaborate and partner with teams to overcome challenges.
- Ability to adapt to changes in a fluid work environment.
About the job
Google isn’t just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google’s powerful search technology. As an Operations Technician, you will install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google’s Linux cluster). You will also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You wiill participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google’s product portfolio possible. We’re proud to be our engineers’ engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $66,500-$100,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Deploy and operate new data center infrastructure across projects or functions.
- Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.
- Maintain the security and integrity of data, track various forms of media to check for standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.
- Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.
- Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with defined solutions and limited guidance.
