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  • Be responsible for proactively identifying and building a series of so... Read More
    Be responsible for proactively identifying and building a series of solutions and best practices for agencies and partners globally.Leverage engineering skills to design and scale complex, cross-product customized solutions to be rolled out customers globally.Collect requirements, provide guidance, best practices and innovative solutions to apply ad products and technologies and drive agency/partner and gTech business goals.Minimum qualifications:Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).Experience troubleshooting technical issues for internal/external partners or customers.Preferred qualifications:MBA or Master's degree in a related technical field.Experience working with ad tech products, ad server, DSPs, DMPs, and web analytics and understanding of engineering solutions built for scale.Experience working in the ad space, first-party data onboarding and activation, measurement and data modeling, video and search advertising.Effective project management, people management and leadership skills, analytical capabilities and demonstrated ability to formulate data-driven proposals.Excellent written and verbal business communication skills.As 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.Ads Solutions Engineering (ASE) is the hub for innovation and engineering excellence that power customer growth and exceptional ads experiences in the Global Business Organization.In this role, you will bring engineering solutions to more customers, partners, and agencies to accelerate growth at global scale. You will build platforms to help deliver solutions enabling growth with agility and efficiency. You will automate workflows and externalize tech and media solutions for amplified reach.You will focus on both solutioning and scaling at a global level, partnering with regional stakeholders, product teams, and specialists, and re-envisioning the way Google Technical Services Ads goes to market across customer segments.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.Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).Experience troubleshooting technical issues for internal/external partners or customers. Read Less
  • Data and Tech Industry Manager  

    - London
    Engage and influence key decision-makers, including C-suite executives... Read More
    Engage and influence key decision-makers, including C-suite executives, building trusted relationships to understand their core business challenges and strategic priorities.Lead the development of Joint Business Plans, aligning with customers on ambitious goals and establishing shared accountability to unlock transformative growth opportunities.Design and pitch powerful, data-driven Google solutions tailored to customer needs, leveraging in-depth knowledge of Google’s advertising offerings and compelling storytelling, while effectively navigating objections to secure investment and exceed revenue sales targets.Demonstrate Google's value by measuring campaign results against customer objectives and competitor’s offerings, and sharing data-driven insights that shape customer strategies and reinforce the partnership.Own the customer's growth trajectory by proactively identifying and cultivating a robust pipeline of new opportunities, leveraging insights and proven success to expand the partnership.Minimum qualifications:Bachelor's degree or equivalent practical experience.5 years of industry experience in advertising, consultative sales, or business development, or 3 years of experience with an advanced degree.Experience with client or agency advertising.Preferred qualifications:3 years of experience managing relationships with customers or agencies and service partners.Experience in Google’s measurement infrastructure and principles of data strength.Experience in a leadership role.Experience in sales pitching and sales strategy.Excellent technical acumen (e.g., Google Analytics 4 (GA4), Google Tag Gateway, and Meridian).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 your 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.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.5 years of industry experience in advertising, consultative sales, or business development, or 3 years of experience with an advanced degree.Experience with client or agency advertising. Read Less
  • Identify and recruit high-quality training partners and independent fa... Read More
    Identify and recruit high-quality training partners and independent facilitators across the region.Drive partner success by reviewing regional applications, delivering targeted feedback to help candidates meet acceptance criteria, and providing structured guidance through onboarding. Elevate facilitation standards by hosting regular upskilling workshops, creating custom training guides to fill content gaps, and directly observing workshops to deliver constructive coaching. Serve as the strategic bridge between external partners and internal regional teams. Streamline and localize the delivery of key programmatic messaging by curating regionalized and targeted newsletters. Support regional partner events from inception to execution.Maintain systematic operational tracking across the region by regularly monitoring and updating core partner performance metrics. Synthesize qualitative context and quantitative data to support business reviews and contribute insightful updates to internal newsletters, ensuring regional impact is clearly visible to leadership.Minimum qualifications:Bachelor's degree or equivalent practical experience.3 years of experience in instructional coaching or corporate training (e.g., educational technology or K-12 or Higher Education landscape).Experience creating training guides, building learning materials, and delivering engaging workshops.Experience planning and coordinating event logistics from inception to execution.Experience navigating the localized educational landscapes across EMEA.Preferred qualifications:Program Management certification or experience in program management with a technology company.3 years of experience managing cross-functional or cross-team projects.Experience in stakeholder management.Exceptional communication skills with a comfort level for giving constructive feedback to independent business owners and trainers.A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. Google for Education’s Global Impact team creates training and community programs that have helped over 140 million students and educators impactfully use Gemini, Google Workspace for Education, Chromebooks, and other tools in the classroom.Our team is focused on bringing the best of Google to educational institutions through our Professional Development Partners, and we are currently seeking an EMEA Professional Development (PD) Partner Manager to build and develop facilitators to deliver high-impact, interactive learning experiences to educators, faculty, and administrators across the region.As an EMEA PD Partner Manager, you will lead the growth, operation, and quality assurance of our Professional Development (PD) Partner network within their assigned territory. This role seamlessly combines strategic ecosystem management including regional recruitment and partner enablement with a direct focus on instructional coaching. As the key differentiator of this position, you won't just oversee the partner network in your region, you will deeply embed yourself as a strategic coach to elevate their training skills, ensuring our high standards of professional development are scaled effectively across the region.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. Spain: 64000 - 65500 (EUR) + 15% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Madrid, Spain.Bachelor's degree or equivalent practical experience.3 years of experience in instructional coaching or corporate training (e.g., educational technology or K-12 or Higher Education landscape).Experience creating training guides, building learning materials, and delivering engaging workshops.Experience planning and coordinating event logistics from inception to execution.Experience navigating the localized educational landscapes across EMEA. Read Less
  • Global Intelligence Manager  

    - London
    Collect, analyze, and disseminate accurate and timely global business... Read More
    Collect, analyze, and disseminate accurate and timely global business intelligence to support action plans based on impact, credibility, and likelihood. Assess risk based on ongoing or predicted events using risk analytic methodologies and structured analytic techniques.Oversee the adoption and integration of AI-powered intelligence tools and advanced analytics to optimize risk identification, open-source intelligence (OSINT) gathering, and trend analysis.Lead analytic assessments about potential operational and strategic threats or risks to Google and disseminate to appropriate stakeholders to support their decision-making.Coordinate counterparts and associated stakeholders to make intelligence-based recommendations on mitigating risk.Work closely with the executive GSRS leader in the country, help conceptualize and drive an analytic program focused on regional challenges, threats, and opportunities for Google and our mission.Minimum qualifications:Bachelor's degree or equivalent practical experience.5 years of experience analyzing risk, authoring reports, and conducting briefings that provide stakeholders with proactive, actionable insight about security concerns.5 years of experience in a corporate, government, nonprofit, or academic environment, working in support of planning processes.Experience evaluating, implementing, and leveraging AI tools, large language models (LLMs), machine learning platforms, or advanced natural language processing (NLP) to enhance intelligence workflows and analysis.Experience managing teams, defining goals, owning budgets, and creating operations strategies.Preferred qualifications:Experience managing large scale projects from ideation to implementation.Deep cultural, geopolitical, and operational expertise in EMEA, with strong knowledge of key stakeholders (e.g., governments, NGOs, and interest groups) where Google operates.Ability to leverage key stakeholder relationships to drive improvements to security intelligence processes.Ability to analyze, interpret, and draw solutions from data, as it relates intelligence and risk.Security is at the core of Google's design and development process: it is built into the DNA of our products. The same is true of our offices. You're an expert who shares our seriousness about security and our commitment to confidentiality. You'll collaborate with our Facilities Management team to create innovative security strategies, investigate breaches and create risk assessment plans for the future. You believe that providing effective security doesn't come at the expense of customer service - you will be our bodyguard (and our long lost pal).GSRS Intelligence team informs business decisions with trusted security risk analysis to protect Alphabet’s people, property, and ideas. In this role, you will collect, analyze, and disseminate accurate and timely global business intelligence to support action plans based on impact, credibility, and likelihood. You will lead a team of analysts charged with helping us continually identify, evaluate and monitor local, country, and regional risks that could affect business activities and provide business leaders the information they need to make critical decisions. You will collaborate with cross-functional teams to create innovative strategies and develop programs that drive sustainable effectiveness.As technology advances, so does our approach to risk analysis. The ideal leader for this team will not only possess deep traditional intelligence expertise but will also understand how to strategically integrate modern AI-driven tools, machine learning applications, and advanced data analytics into the intelligence cycle to scale capabilities, optimize monitoring, and improve forecasting.From keeping Googlers safe and secure to managing disruptive events, the ability to anticipate, deter, detect, and act are the pillars of Google’s Global Security and Resilience Services (GSRS) team. As a member of GSRS you will help develop a culture where safety, security and resiliency are integrated into every facet of Google, including the creative process. You will help us continually identify, evaluate and monitor enterprise risks that could affect business activities and provide business leaders the information they need to make critical decisions. You'll collaborate with cross-functional teams to create innovative strategies and develop programs that drive sustainable effectiveness.Bachelor's degree or equivalent practical experience.5 years of experience analyzing risk, authoring reports, and conducting briefings that provide stakeholders with proactive, actionable insight about security concerns.5 years of experience in a corporate, government, nonprofit, or academic environment, working in support of planning processes.Experience evaluating, implementing, and leveraging AI tools, large language models (LLMs), machine learning platforms, or advanced natural language processing (NLP) to enhance intelligence workflows and analysis.Experience managing teams, defining goals, owning budgets, and creating operations strategies. Read Less
  • Senior Remediation Advisor, Mandiant STS  

    - London
    Collaborate with and advise executive organizational stakeholders thro... Read More
    Collaborate with and advise executive organizational stakeholders through the delivery of proactive and transformational initiatives, leveraging advanced technical insights to inform decision-making and evolve the client’s overall security posture.Advise and guide clients through testing cybersecurity incidents and recovery, providing advanced technical advice and support across a range of technologies to enable them to confidently navigate complex environments.Lead incident response and remediation workstreams, effectively managing projects, coordinating resources, and meticulously tracking progress to ensure successful client outcomes, while orchestrating and managing critical security operations, such as enterprise-wide password resets, ensuring minimal disruption and maximum effectiveness.Manage assigned resources, including coordinating with subcontractors, to provide clients with seamless and effective technical support throughout the remediation process.Travel up to 30% and support the weekend on-call roster once every 6–8 weeks.Minimum qualifications:Bachelor's degree in Computer Science, Information Systems, Cybersecurity or a related technical field, or equivalent practical experience.5 years' experience managing or leading a security program, coordinating technical projects, and guiding delivery teams to implement technical recommendations.Experience applying core cybersecurity principles and enterprise security architecture across heterogeneous environments.Ability to travel up to 30% and support the weekend on-call roster once every 6–8 weeks.Preferred qualifications:Experience with enterprise security controls across on-premises and cloud infrastructures, including enterprise networking and network segmentation strategies.Experience with Privileged Access Management (PAM) best practices, Windows and Unix endpoint hardening, and security control enforcement.Experience working across multiple industries, verticals, and service providers.Proven experience documenting project requirements to define scope, manage schedules, track budgets, and manage technical deliverables under tight timelines.Direct experience securing AI pipelines, implementing AI-driven security tools, or securing cloud/enterprise architectures utilizing AI technologies.As a part of the Mandiant’s Security Transformation Services (STS) team, you will help organizations build an effective security operations program that minimizes organizational risk and reduces the impact of security breaches, by utilizing the latest industry standards and combining experience and knowledge gained from Mandiant Incident Response, Intelligence and Managed Defense practices, you will be able to help clients contain security events, harden their environments, and transform their security programs.Mandiant is seeking a Remediation Advisor with advanced communication, technical, and project management skills to guide our clients through the complexities of cybersecurity. In this role, you will act as the organization's primary remediation leader both during and after a cyber security incident. In this role, you will be responsible for driving remediation efforts by developing, coordinating, and executing the eradication, recovery, and remediation plan in parallel with active incident response. You will partner with key stakeholders, including the Incident Response (IR) team, IT operations, business units, and legal, to ensure that containment, eradication, and recovery actions are unified, efficient, and aligned with business priorities. You will work with clients in similar scope on long term or strategic security transformation projects in addition to IR engagements.Part of Google Cloud, Mandiant is a recognized leader in dynamic cyber defense, threat intelligence and incident response services. Mandiant's cybersecurity expertise has earned the trust of security professionals and company executives around the world. Our unique combination of renowned frontline experience responding to some of the most complex breaches, nation-state grade threat intelligence, machine intelligence, and the industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone.Bachelor's degree in Computer Science, Information Systems, Cybersecurity or a related technical field, or equivalent practical experience.5 years' experience managing or leading a security program, coordinating technical projects, and guiding delivery teams to implement technical recommendations.Experience applying core cybersecurity principles and enterprise security architecture across heterogeneous environments.Ability to travel up to 30% and support the weekend on-call roster once every 6–8 weeks. Read Less
  • Serve as a developer for complex AI applications, transitioning from r... Read More
    Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.Minimum qualifications:Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.8 years of experience with software development using Python or similar coding languages.Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).Experience leading technical discovery sessions with customers.Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.Preferred qualifications:Master’s degree or PhD in AI, Computer Science, or a related technical field.Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).Experience in a post-sales or technical consulting delivery function.Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.As a Forward Deployed Engineer (FDE) in the Google Cloud organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.8 years of experience with software development using Python or similar coding languages.Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).Experience leading technical discovery sessions with customers.Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders. Read Less
  • Contribute to 0-to-1 solution engineering, architecture design, and de... Read More
    Contribute to 0-to-1 solution engineering, architecture design, and debugging for complex agentic workflows.Stress-test features to influence product roadmaps and implement evaluation frameworks.Pioneer architectural frameworks and authors reusable technical assets.Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.Minimum qualifications:Bachelor's degree in Computer Science or equivalent practical experience.8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.Experience with large language models (LLMs), prompt development, and conversational AI frameworks.Preferred qualifications:Experience building and scaling complex production systems and working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.Experience in technical consulting, navigating the governance, security, and procurement complexities.Experience in technical consulting, navigating the governance, security, and procurement complexities.Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP).Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.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.Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience, along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. As an AI Solutions Deployment Manager, you will be technical solutions consultant across multiple customer deployments, and a high-visibility team multiplier responsible for turning the promise of Agentic AI into production reality for Google’s most strategic global customers. You will sit at the connection of product, development, and the customer, translating complex business friction into elegant, reasoning-based AI solutions.In this role, you will contribute to the end-to-end delivery of agentic solutions, working with a group of deployment specialists to implement best practices for delivering at scale and velocity. You will be a builder, a strategic systems thinker, and a master of navigating technical and business challenges. You will be working with a group of deployment specialists, incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem.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.Bachelor's degree in Computer Science or equivalent practical experience.8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.Experience with large language models (LLMs), prompt development, and conversational AI frameworks. Read Less
  • Serve as a developer for complex AI applications, transitioning from r... Read More
    Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.Co-build with pre-sales and product teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.Minimum qualifications:Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.8 years of experience with software development using Python or similar coding languages.Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).Experience leading technical discovery sessions with customers.Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders.Preferred qualifications:Master’s degree or PhD in AI, Computer Science, or a related technical field.Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).Experience in a post-sales or technical consulting delivery function.Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.Ability to travel to regional stakeholders, as needed.As a Forward Deployed Engineer (FDE) in the Google Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment. This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.8 years of experience with software development using Python or similar coding languages.Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., Google Cloud Platform).Experience leading technical discovery sessions with customers.Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders. Read Less
  • Research new alignment methods, studying alignment failures, and apply... Read More
    Research new alignment methods, studying alignment failures, and applying AGI-scalable alignment techniques to frontier models.Develop adversarially robust AGI control systems and implement them in production.Research interpretability techniques to understand what AI systems are ‘thinking’.Work with product teams to ensure that our research is correctly adopted.Minimum qualifications:Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.3 years of experience in software development, ML engineering, or ML research.Experience working with research teams.Preferred qualifications:Experience conducting or contributing to applied research to improve the safety and alignment of frontier AI systems.Experience with training large models (e.g., supervised finetuning, RLHF).The Artificial General Intelligence (AGI) Safety and Alignment Team (ASAT) aims to reduce existential and catastrophic risk from AGI and eventually Artificial Superintelligence (ASI). We research novel techniques and work with the rest of GDM and Google to apply them. We advise executive leadership on safety.ASAT has sub-teams specialising in making future Geminis more thoroughly aligned by finding and fixing sources of misalignment and exploring alignment techniques with better generalization. Preparing for future AGI risks by simulating them today and using interpretability techniques to understand AI and solve practical problems like model forensics or eval awareness. Building control for GDM’s agents as defense-in-depth against potential misaligned internal deployments. Researching training techniques, like debate, for aligning superhuman AI and ways to retain, improve, and measure monitorability. Researching and implementing ways to assess the ways in which a given model might be imperfectly aligned and developing and implementing tools and AI assistance that accelerates safety research. Advising executive leadership on risks posed by AI systems via the frontier safety framework based on our threat models and evaluations.We are prioritising hires for deep alignment, alignment stress testing, language model interpretability, agent control, and amplified oversight. We are looking to grow our team with researchers and engineers. Depending on your background, we have opportunities available as both Research Scientists and Software Engineers.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Bachelor's degree in Computer Science, a related Software Engineering field, or equivalent practical experience.3 years of experience in software development, ML engineering, or ML research.Experience working with research teams. Read Less
  • Partner with Account teams to drive adoption of Google Ads, GMP, and G... Read More
    Partner with Account teams to drive adoption of Google Ads, GMP, and Google Cloud solutions with our largest Agencies and Partners (A/Ps).Utilize designing and storytelling to design data-driven marketing architectures and long-term tech transformation strategies (JBP/QBR).Assess privacy regulations and ecosystem risks to recommend durable data solutions that protect partner and client technology stacks.Work across cross-functional stakeholders to align A/P priorities with Google’s, scaling successful solutions to their top clients.Act as a critical feedback loop, documenting advanced partner technical requirements to directly influence Google’s Product and Engineering teams.Minimum qualifications:Bachelor's degree or equivalent practical experience.8 years of industry experience in a client-facing pre-sales, technical consulting, or solutions engineering capacity, or 6 years of experience with an advanced degree.Experience across Google’s advertising platforms (Google Ads, Google Marketing Platform) and Google Cloud capabilities.Experience with designing technology systems and data flows.Preferred qualifications:Experience architecting technology and data solutions within digital advertising, MarTech, or cloud computing ecosystems.Knowledge of software development, product management, and APIs.Excellent problem-solving, technical aptitude, and executive communication/storytelling skills.Proven track record of resolving complex technical issues and simplifying them for audiences ranging from practitioners to executives.As a member of the Global Agency and Third-Party Ecosystem team, you will serve as a technical business and consultant leader for the expanding ecosystem of advertising technology, marketing technology, and agency partners. Your focus will be on driving value for brands through in-depth connections between the Third-Party ecosystem and Google advertising data, technology, and Artificial Intelligence. As an agency and Third-Party Ecosystem Solutions Architect, you will partner with Google's agencies and technology partners to design advanced data and technology solutions that drive marketing experiences. Leveraging your industry and product expertise, you will consult with clients to identify how Google technology seamlessly integrates with and elevates their existing marketing architecture. You will leverage collaborative modeling and storytelling to bring business engagements and executive presentations to life. Technical expertise is critical to effectively support our partners' businesses leveraging Google's technology suite, and you will collaborate closely with our product teams to shape the future roadmap for our enterprise clients.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.8 years of industry experience in a client-facing pre-sales, technical consulting, or solutions engineering capacity, or 6 years of experience with an advanced degree.Experience across Google’s advertising platforms (Google Ads, Google Marketing Platform) and Google Cloud capabilities.Experience with designing technology systems and data flows. Read Less

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