• Lead the architectural evolution of core server systems, ensuring they remain scalable.

• Ensure the performance and reliability of critical services, maintaining high availability standards for users worldwide.

• Drive innovation in machine learning to personalize the user journey, from optimizing interface elements to developing new models for an engaging experience.

• Mentor and grow the team, fostering a culture of technical excellence, innovation, and high-quality engineering practices.

• Define technical standards that empower partner teams to launch features reliably across the platform.

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in software development.

• 5 years of experience with full-stack development across the backend (e.g., Java, Python, GO, or C++) and frontend (e.g., JavaScript, TypeScript, HTML, CSS, or equivalent).

• 5 years of experience testing and launching user-facing software products and features.

• 3 years of experience with software design and architecture.

• Create design deliverables and collaborate with product managers, engineers, and cross-functional stakeholders to understand requirements, and provide thoughtful solutions to move to production.

• Incorporate AI concepts and business requirements into ongoing product experiences and pitch ideas to stakeholders for buy-in.

• Advocate for the prioritization of design-centered changes, refinements, and improvements and develop AI future-facing experiences that meet user needs.

• Create pitch-level fidelity mocks to help sell in the team’s idea and communicate the user experience at various stages of the design process with wireframes, flow diagrams, storyboards, mockups, and high fidelity prototypes.

• Bachelor's degree or equivalent practical experience.

• 6 years of interaction design experience in product design or UX design.

• Experience with foundational AI concepts (e.g., generative AI, LLMs) and leveraging AI tools to enhance the design process.

• Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).

• Develop insights of user behavior and sentiment on Google, and contribute to the long-term growth of the search advertising business.

• Translate knowledge into ways to better model quality user experiences, either through new models/approaches or enhancing existing models.

• Drive leadership alignment and buy-in on high visibility projects.

• Work with auction teams to better understand and account for user experience in the search ads auction.

• Partner with product teams in Search Ads and Ads on Google Experiences (SAGE), Deep Mind, UX/UXR, and cross-functional partners.

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in product management or a related technical role.

• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc.).

• Experience launching machine learning based products.

• Experience leading products that leverage foundational models or LLMs.

• Write and test product or system development code.

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

• Design and implement solutions in one or more specialized ML areas and leverage ML infrastructure.

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• 3 years of experience in image processing and computer vision algorithm design and development.

• Experience in geometric vision/computational geometry.

• Collaborate with product managers, engineers, and cross-functional stakeholders to understand requirements and provide solutions.

• Communicate the user experience at various stages of the design process with wireframes, flow diagrams, storyboards, mockups, or high fidelity prototypes.

• Integrate user feedback and business requirements into ongoing product experience updates.

• Advocate for the prioritization of design-centered changes, refinements, and improvements.

• Bachelor's degree or equivalent practical experience.

• 4 years of interaction design experience in product design or UX design.

• Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).

• Lead a team of CE managers and extended teams, focusing on team culture, talent strategy, and skills development to deliver cloud transformation outcomes for customers and accelerate value realization.

• Foster customer partnership and provide thought leadership related to cloud, cross-pillar solutions, and expansion opportunities to drive technical wins.

• Partner with business leadership to define technical go-to-market strategies and delivery plans with a focus on winning new workloads and driving consumption within existing ones.

• Balance technical leadership with operational excellence, lead workload and opportunity review meetings with sales and CE teams, and provide insights into how to achieve technical agreements and migration strategy, working directly with customers, partners, and prospects.

• Work cross-functionally across Google, partners, and the team to resolve technical roadblocks.

As the Head of Customer Engineering (CE), you will lead CE managers and teams of subject matter experts, responsible for working alongside customers, to provide trusted technical and solution advice. You will foster a culture of technical ownership and understand the mechanics of architecture, delivery, and consumption across 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.

• Bachelor's degree or equivalent practical experience.

• 10 years of experience with cloud native architecture in a customer-facing or support role.

• 3 years of experience as a manager leading teams in a technical customer-facing role within professional services or sales engineering.

• Experience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.

• Experience with technical conversations, demos, prototyping, or workshops with customers.

• Write and test product or system development code.

• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)

• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

• Design and implement solutions in one or more specialized ML areas, and leverage ML infrastructure.

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

• 2 years of experience working with recommender systems or ML-based products.

The 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 AI/ML Consultant, you will work directly with Google’s strategic customers on critical projects to help them transform their businesses using AI/ML technologies. You will help customers to develop, deploy, and manage custom AI solutions in production using Google Cloud technologies. You will provide technical project management, consultation, 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 with Google partners to scope engagements, manage programs, deliver consulting services, and provide technical guidance and best practice knowledge.

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.

• Bachelor's degree or equivalent practical experience.

• 5 years of experience with project managing and delivering technical solutions.

• Experience in machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, artificial intelligence, or generative AI.

• Experience with technical client service (e.g., consulting).

• Lead a cross-functional team in prototyping, testing, building, and launching a new experience for gamers.

• Find solutions and knock-down obstacles where others see roadblocks; preempt risks and guide delivery.

• Lead through technical and cross-functional ambiguity with independence.

• Apply creativity and use/advocate for the latest tools and processes.

• Architect a global product strategy and influence executives and stakeholders around it.

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.

One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Google Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.

• Bachelor's degree or equivalent practical experience.

• 8 years of experience in product management or related technical role.

• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc.).

• Design and deliver optimized program communication plans including executive and key partner communications.

• Determine phasing and metrics associated with program lifecycle that address continuous improvement including resource stewardship (effective deployment of machine and people resources).

• Determine and collect data required to govern programs and drive stakeholder decision making.

• Anticipate change management requirements that are required by program stakeholders.

• Build trusted relationships with program stakeholders, including managing expectations of senior cross-functional leads and ensuring they have the insights they need to make decisions.

• Bachelor's degree or equivalent practical experience.

• 5 years of experience in program or project management.

• Experience working on customer-facing features.

• Experience with the software development lifecycle.

• Own the process of revenue acquisition through selected partners to meet assigned quotas, selling to partner accounts and facilitating sell-through opportunities after the initial sale.

• Develop and execute on business plans that provide consistent year over year revenue growth in selected partner accounts.

• Maintain a consistent set of sales, technical, and marketing benefits to partners that will facilitate their growth in the security practice.

• Build connections with sales managers and partner solutions to drive partner attach in all accounts.

• Provide strategic input on business opportunities, agreement discussions, market announcements, and executive decision making; drive consensus on outcomes that balance both value and risk.

• Bachelor's degree or equivalent practical experience.

• 10 years of experience in channel sales or partnerships with security products.

• Experience in a quota carrying security sales role with managed security service providers (MSSP) or security resellers.

• Experience managing business performance of partners and mapping partner capabilities and priorities to meet/exceed quarterly revenue goals and drive quarterly business reviews with key security partners.

• Lead the design and implementation of hardware for a neutral-atom quantum computer apparatus.

• Lead the development of error-tailored architectures for quantum computing in collaboration with quantum-error-correction experts at Google Quantum AI.

• Enable hardware studies to develop accurate error models for neutral-atom physical operations.

• Publish and disseminate your research findings.

• PhD degree in Physics or Electrical Engineering, or equivalent practical experience.

• 2 years of experience managing a team.

• One or more scientific publication submission(s) for conferences, journals, or public repositories related to quantum.

• Lead development of innovative manufacturing processes solutions and capabilities including industry-first process definition, startup, and qualification.

• Develop manufacturing documentation (e.g., bill of materials, assembly drawings, manufacturing work instructions, etc.) in support of the new product introduction (NPI).

• Establish, deliver, and maintain the manufacturing and quality processes and standards for Google's new technologies, leveraging existing tools and processes as required.

• Collaborate with design and cross-functional engineering teams throughout NPI phases to identify value engineering opportunities and ensure manufacturability.

• Work closely with manufacturing partners in build readiness and process validation; solve complex design and manufacturing challenges efficiently to meet project timing and ensure flawless NPI launch.

Google's custom-designed equipment makes up one of the largest and most powerful computing infrastructures in the world. The Manufacturing Operations team is responsible for providing the manufacturing capability to deliver this state-of-the-art physical infrastructure. As a Manufacturing Engineer, you evaluate the product designs and create the processes, tools and procedures behind Google’s powerful search technology. When vendors build parts for our infrastructure, you’re right there alongside ensuring manufacturing processes are repeatable and controlled. You collaborate with Commodity Managers and Design Engineers to determine Google’s infrastructure needs and product specifications. Your work ensures the various pieces of Google’s infrastructure fit together perfectly and keep our systems humming along smoothly for a seamless user experience.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

• Bachelor's degree in Electrical, Manufacturing, Industrial Engineering, or equivalent practical experience.

• 5 years of experience in manufacturing PCBA and box build.

• Experience using tools such as Valor and Allegro to perform Design For Excellence (DFX).

• Experience with development of PCBA manufacturing processes including acceptance testing, startup, and qualification.

• Experience in new sites, line, and equipment bring up and transfer.

• Oversee global delivery and headcount management for 2 key sub-product areas within Google Cloud Platform.

• Manage a team of IC recruiters responsible for work distribution, hiring efficiencies, and developing delivery capabilities.

• Collaborate across GCP and broader Cloud Tech Recruiting ecosystem to ensure we are forward thinking and advancing our partcipant edge in the AI market and evolving with the demands of the fast-paced environment.

• Provide stakeholder management with partners across Pops to ensure alignment to our organization OKRs and collaborative initiatives ensuring cohesion in how we deliver talent.

• 8 years of experience in full-cycle recruiting in an agency or corporate setting.

• 3 years of experience in people management, supervision, or a team leadership role.

• 3 years of experience managing multiple stakeholders.

• 2 years of experience in an analytical environment, working with business intelligence, data, or strategy.

• Drive UX design across projects and future opportunities.

• Articulate user journeys with scenarios, storyboards and presentations, low and high-fidelity mocks, detailed interaction specs, and prototypes to communicate interaction and design ideas.

• Partner with UXR on research hypotheses and participate in user research.

• Contribute to UX idea and strategy, generating buy-in and operationalizing the strategy across teams and timelines.

• Manage and prioritize multiple projects at once that change on a regular basis.

• Bachelor's degree or equivalent practical experience.

• 6 years of interaction design experience in product design or UX design.

• Experience working on AI prototyping tools.

• Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).

• Build autonomous and semi-autonomous agents to handle complex software development and testing tasks, such as black/white box test generation, bug triaging, root-causing, and quality trend/risk analysis, etc.

• Develop scalable AI-native infrastructure to elevate testing accuracy and efficiency using LLMs and AI models, ensuring low latency and high reliability for global testing teams.

• Create intuitive internal tools, agentic skills, and APIs that allow non-AI experts to leverage machine learning for their work.

• Collaborate with Pixel software and hardware teams to integrate AI-driven testing into the existing CI/CD pipelines and hardware-in-the-loop (HIL) systems.

• Bachelor’s degree or equivalent practical experience.

• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

• Define and document the microarchitecture for complex digital designs within the TPU.

• Write high-quality, performant, and power-efficient RTL code, primarily in System Verilog.

• Collaborate with the Verification team to develop test plans, debug RTL, and ensure functional correctness.

• Work closely with the Physical Design team to meet timing, area, power, and manufacturability requirements.

• Contribute to the development and enhancement of design tools, flows, and methodologies.

• Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

• 1 year of experience with register-transfer level (RTL) design using Verilog or System Verilog.

• Engage and influence key customer stakeholders by leading strategic meetings to uncover marketing goals and key performance indicators, translating them into actionable campaign strategies.

• Drive exceptional campaign results, quantify business impact, and demonstrate excellent value to customers, maintaining account hygiene.

• Build and pitch data-driven solutions to maximize customer value through Google’s advertising solutions, handle objections, and ultimately achieve sales growth goals.

• Analyze campaign data, ensuring performance is accurately tracked and delivering measurable results aligned with customer objectives.

• Monitor performance data to extract key insights, identifying and cultivating qualified upsell opportunities to drive future customer growth and build pipeline.

Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and our customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.

In this role, you will focus on partnering with our largest clients within the media and entertainment vertical, including TV broadcasters, streaming, and movie studios.

Google's Large Customer Sales (LCS) teams are strategic partners and industry thought leaders to the world's leading brands and agencies. We continuously challenge how customers think about their business and how Google can support growth. We focus on helping these players navigate profound industry shifts and drive outsized business performance by competitively selling Google's full suite of advertising solutions across Search, YouTube, Measurement, and more. As a member of our LCS team, you'll have the unique opportunity to sell at the forefront of technology, collaborating with executives, influencing market-shaping strategies, and delivering tangible results that significantly impact major global businesses and drive the growth of Google.

• Bachelor's degree or equivalent practical experience.

• 2 years of experience in advertising, consultative sales, business development, online media environment, or marketing roles.

• Drive the creation of innovative and engaging AI prototypes, guiding them through a changing development lifecycle from exploration to a compelling proof of concept (PoC).

• Design and build thoughtful, novel AI interactions that translate the subtle nuances of human collaboration into sensitive and reliable technical solutions.

• Serve as a key connector between UX design, research, and software engineering, working iteratively with internal and external partners to bridge the gap between human needs and technology.

• Stay at the forefront of the latest AI capabilities and lead by example in the use of AI enabled design and coding tools.

• Support the project's narrative by preparing technical documentation and demos that inspire Google leadership and external partners.

• Bachelor's degree or equivalent practical experience.

• 6 years of experience in front-end development, technical UX design, or prototyping.

• Experience collaborating with multidisciplinary UX/Product teams (e.g., motion, interaction, UX research, etc.) on technical implementation.

• Experience in software development and developing web-based applications.

• Partner with PM and Engineering to translate our bundling/cross-selling strategy into a concrete roadmap to operationalize these efforts across our platforms.

• Define and track success metrics to assess the impact across our paid ecosystem and identify opportunities for improvement.

• Develop a foundational approach for bundling and cross-selling across our paid products - including target customers, products and offers to promote, key activation flows/CUJs.

• Build drivers-based subscriber forecasts for high priority agreements – working with product leads to align on assumptions that will directly inform pricing guardrails for a given dea.

• Collaborate with finance and partnerships to develop evaluation criteria/investment framework and operating models to evaluate potential agreement opportunities.

• Bachelor's degree or equivalent practical experience

• 8 years of experience in an analytical role, such as management consulting, investment banking, business intelligence, data science, or corporate strategy & operations

• Experience driving cross-functional programs or projects

• Experience with SQL, spreadsheets, data visualization, and other data analytics tools