Google Inc.

Research Scientist, Agent Post-Training, DeepMind DeepMind London, UK Apply Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, a related quantitative field, or equivalent practical experience. 2 years of experience with reinforcement learning (RL), supervised fine-tuning (SFT), or agent-based systems, including modeling or applied infrastructure. 2 years of experience with machine learning frameworks such as JAX, Flax, TensorFlow, or PyTorch, and scaling experiments. Preferred qualifications PhD in Computer Science, Machine Learning, or a related quantitative field. Publications in reinforcement learning (RL), tool-use, or agentic systems, or applied projects demonstrating infrastructure for agentic setups. Experience balancing research velocity and code quality, including managing technical debt. Ability to investigate complex technical issues and develop high-standard scientific artifacts. Preference for simple, elegant solutions to research problems. Experience with systems design and managing code complexity in large codebases. About the job At Google DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. In this role, you will push the frontier of agentic tasks in post-training large language models as a Research Scientist or Research Engineer (we are open to both). As part of the Gemini post-training team, you will have the chance to drive the research that makes up the backbone of upcoming releases. You will help bridge research and engineering by designing scalable experiments and building reliable infrastructure for tool use and reinforcement learning. You will value various experience and backgrounds to create extraordinary impact. Artificial intelligence will be one of humanity's most transformative inventions. 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 various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Responsibilities Lead the full research process, from forming hypotheses to delivering direct impact in Gemini post-training. Design effective ablations to systematically validate and iterate on research ideas. Communicate research findings and experimental results through clear plots and reports. Develop reliable infrastructure and utilities to support post-training research and evaluations. Collaborate with other researchers and engineers to accelerate project velocity. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Talent Management Partner, DeepMind (Fixed-Term Contract) DeepMind - London, UK; Mountain View, CA, USA This is a 12-month Fixed-Term Contract position. By applying you will have an opportunity to share your preferred working location from the following: London, UK; Mountain View, CA, USA. Bachelor's degree or equivalent practical experience. 6 years of experience in talent management, organizational development or HR. Preferred qualifications Ability to navigate organizational complexity effectively and grow in dynamic environments, adaptable and flexible to changing situations. As a resourceful and creative thinker, you implement innovative solutions to challenging problems. Passion for coaching and developing individuals to achieve their best and fostering a supportive environment. Exceptional communication and stakeholder management skills, including experience collaborating with executive leadership. Data-driven approach to talent management, using insights to inform decisions and measure impact. About the job Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve global issues 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 various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target Learn more about benefits. Craft and implement talent management strategies aligned with business objectives to boost talent engagement, career and performance. Collaborate closely across People and Culture (P&C), with Google counterparts, and executive leaders to assess talent needs and develop innovative, scalable talent solutions that deliver value without adding complexity. Leverage data and analytics to assess the impact of talent initiatives and make data-driven recommendations, in line with business priorities. Drive change management efforts related to talent initiatives, ensuring smooth adoption and integration into the organization. Function as a trusted thought partner, sharing industry insights to guide focus and decisions across talent and performance portfolio. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Google Inc. is seeking a Talent Management Partner for a 12-month Fixed-Term Contract position in London or Mountain View. This role involves crafting talent management strategies and collaborating with executive leadership to assess talent needs. The ideal candidate will have a Bachelor's degree, 6 years of talent management experience, and exceptional communication skills. The position offers a salary range of $141,000 - $206,000 plus a 15% bonus target, ensuring competitive compensation for high-quality candidates.

Remote location: United Kingdom. Required qualifications Bachelor's degree or equivalent practical experience. 5 years of experience working in a government or military environment, leveraging and developing Cyber Threat Intelligence (CTI) for network, host, and log analysis to enable the detection of and response to cyber threats. Experience leveraging CTI data and tooling to describe, track, and develop new intelligence on Advanced Persistent Threats (APTs). Experience analyzing network data, Intrusion Detection System (IDS) monitoring, Endpoint Detection and Response (EDR) solutions, and contributing CTI into a threat intelligence platform. Preferred qualifications Experience in the analysis of CTI, supporting monitoring, detection, and response capabilities. Experience in deploying and analyzing data from technical security controls (e.g. web proxy, firewalls, IPS, IDS, enterprise antivirus solutions, network analyzers). Experience with standard network logging formats, network management systems and network security monitoring systems, and security information and event management. Experience in SOC operations, threat hunting, detection engineering and SOC workflow optimization. Active UK Developed Vetting (DV) Security Clearance. About the job In this role, you will join Mandiant Intelligence as an Advanced Intelligence Access (AIA) Integrator, delivering key support to a strategic UK government client, embedded onsite four days per week, serving as a Cyber Threat Intelligence (CTI) technical specialist, empowering the customer and becoming a key contributor to their mission. You will join a fantastic team, backed by Mandiant's UK and global experts, supported with training, specialisms, access to industry leading tooling and proprietary data to fuel your analysis. In this role, you will blend this unparalleled reach with your own technical tradecraft, driving capability maturity via automation and platform engineering to help secure UK Public Sector, and deliver impactful CTI for cyber defense. 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 industry's best security validation ensures that Mandiant knows more about today's advanced threats than anyone. Responsibilities Embed onsite at the customer location (3-4 days/week), partnering to support their Cyber Threat Intelligence (CTI) requirements and integrate deeply to enable their focused cyber defense mission. Track priority cyber threats as an embedded CTI centre of expertise, applying frameworks such as MITRE ATT&CK, and leveraging Mandiant tools and data to answer customer Request for Information (RFI's), author actionable intelligence and support dissemination and briefings. Support the integration of CTI into the customer's mission by building processes for its application within varied cyber defence technology stacks, including SIEM and TIP systems (Splunk, netflow, Sigma, Yara etc). Leverage Google Threat Intelligence Platform and other customer sources to maximise exploitation of CTI in Threat Hunting, with a focus on network analysis. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google Inc. is seeking an experienced data architect in the City of Westminster, United Kingdom. The ideal candidate will have extensive experience in data engineering and governance frameworks, specifically in the financial services sector. You'll be tasked with integrating complex data solutions across various platforms. The role requires strong client relationship skills and technical acumen to meet the growing demands of enterprise customers. A bachelor's degree and specific cloud experience are essential. At Google, we pride ourselves on creating an inclusive work environment.

Innovation Consultant, Public Sector, Google Cloud Google London, UK Apply X Must be a British citizen to meet compliance and security clearance requirements. Bachelor's degree or equivalent practical experience. 8 years of experience delivering cloud innovation programs. Active, or the ability to obtain, a Security Check (SC) UK security clearance. Preferred qualifications Experience in developing public sector business cases and TCO analysis, aligning technology costs to public value metrics and government procurement standards. Experience in a product manager role owning the end-to-end lifecycle of a complex, data-intensive enterprise product, including an AI/ML platform or large-scale automation system. Experience in the central government or the defense sector, with the ability to apply technology to drive mission-critical outcomes. Knowledge of AI (Predictive, Generative, Agentic), with the ability to translate technical concepts into executive-level business value. Excellent communication and collaboration skills with government, defense, and technology audiences. About the job As an Innovation Consultant, you will be a key partner guiding government and defense customers through the complex process of adopting AI to drive tangible mission outcomes. You will work with executive-level public sector stakeholders to re-imagine core organizational functions, designing and implementing new, AI-augmented operating models. You will lead critical transformation initiatives that leverage the full potential of Google's agentic AI, ensuring these highly regulated organizations don't just adopt technology, but fundamentally evolve how they operate and deliver public value. 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 Lead visioning and ideation to drive public sector innovation. Own the end-to-end lifecycle of complex, high-stakes programs of work. Translate complex technical concepts into executive-level mission value and influence executive stakeholders to adopt new ways of thinking. Develop roadmaps and models to quantify the mission impact, operational efficiency, and value-for-money of AI transformation. Design human-in-the-loop touch points and governance frameworks for a hybrid workforce of agents and people in highly regulated environments. Conduct process discovery to identify unarticulated needs and create compelling product goals tailored to government operations. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google Inc. is seeking a Research Scientist for its DeepMind team in London to tackle large-scale research issues in reinforcement learning. Candidates must possess a PhD in Machine Learning and at least 2 years of relevant experience. This role will involve proposing novel research directions, implementing algorithms, and communicating findings through publications. Strong communication skills and experience with modern research stacks are preferred. Google values diversity and is committed to equal opportunity in the workplace.

Google Inc. is seeking a Lead Technical Program Manager for Fiber Design Engineering in London. The successful candidate will lead complex engineering projects, manage schedules, and mentor global teams, contributing to fiber design and capacity planning. Candidates must have a Bachelor's degree in relevant fields, strong leadership skills, and extensive experience in fiber construction and management. This role requires proficiency in English and offers the opportunity to drive significant infrastructure projects globally.

Location DeepMind - London, UK Qualifications PhD in Machine Learning, or equivalent practical experience. 2 years of experience implementing algorithms within research codebases. Experience conducting research in reinforcement learning, including contributions to peer reviewed publications. Experience designing and executing end to end experiments, including setup, analysis, and interpretation. Preferred qualifications Experience with advanced reinforcement learning topics, such as RL for sequence models, post training, preference based learning, or agentic systems. Familiarity with modern research stacks (e.g., JAX/Flax or PyTorch) and experience scaling experiments. Strong experimental judgment, including selecting appropriate baselines and designing insightful ablations. Comfort with scaling methodologies, evaluation techniques, and diagnosing complex failure modes. High agency and drive to push projects forward, prioritize effectively, and take initiative. Excellent communication skills, with a focus on clear and honest presentation of research results. About the job At DeepMind's Reinforcement Learning (RL) team we address large scale research issues in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Our work builds on a legacy of achievements such as DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof, and Gemini. Artificial intelligence will be one of humanity's most transformative inventions. At 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. As a Research Scientist, you will set up large scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. You will also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes worldwide. Responsibilities Propose and pursue novel research directions by formulating and testing hypotheses. Implement algorithmic ideas and conduct end to end experiments, analyzing results and iterating on findings. Design evaluations and ablations to answer key questions and drive research decisions. Build and improve infrastructure to enable research at scale. Communicate research findings through write ups, presentations, and publications, while fostering a culture of high standards and constructive feedback. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google Inc. is seeking a Technical Program Manager for Strategy Operations in London, UK. This role involves transforming complex datasets into insights, managing project progress, and collaborating with teams to meet project goals. Ideal candidates should have a Bachelor's degree in a technical field and at least 2 years of experience in program management, including expertise in data visualization tools like Python, Tableau, and Power BI. Strong problem-solving and communication skills are essential.

Google Inc. is seeking a Public Affairs Lead to design and execute strategies for its frontier AI initiatives in London. This role involves leading communications that align with Google DeepMind's objectives and engaging with policymakers and stakeholders. The ideal candidate should have extensive public affairs experience, particularly in communications, and the ability to influence diverse audiences. This position offers a competitive salary range and additional benefits.

DeepMind - Washington D.C., DC, USA; London, UK Benefits Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours per year (increased to 69 hours per year for Seattle) including 5 discretionary sick days per instance Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Qualifications Bachelor's degree or equivalent practical experience 14 years of experience in public affairs or communications within the technology sector, including AI. 2 years of experience in the US, including Policy Communications and Public Affairs. 1 year of experience within the frontier AI landscape. Preferred qualifications Knowledge of technology policy, with an ability to quickly master technical and governance issues and translate them for non-technical policymaker audiences. Ability to influence a variety of internal and external audiences, communicate effectively, and build strong, trust based relationships with executive stakeholders. Track record of designing and executing highly successful policy events, summits, or roundtables that drive objectives and build lasting coalitions among executive officials and experts. About the job As a member of the Global Communications & Public Affairs team, you will work cross functionally to help communicate with journalists and other thought leaders; devise specific communications materials and campaigns; engage in face to face meetings with commentators and other opinion formers; and develop print and web based material supporting these campaigns. We're looking for great communicators who can understand complex issues and explain them in person and also via well written, simple blog posts, FAQs, video scripts and more. Preferences for the role are to be based in London, with the possibility of Washington, D.C. 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. The U.S. base salary range for this full time position is $221,000 $307,000 USD + bonus + equity + benefits. Salary ranges are determined by role, level, and location. 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 U.S. role postings reflect the base salary only, and do not include bonus, equity, or benefits. Responsibilities Lead the design and execution of our frontier AI public affairs strategy, ensuring engagement and communications align with organizational and policy priorities to grow mindshare and influence in key markets. Develop core messaging, policy narratives, and collateral (such as blogs and policy papers) to effectively communicate Google DeepMind's safe and responsible frontier AI approach to government audiences. Organize high profile events, roundtables, and bilateral meetings. Bring together key government, civil society, academic, and technical policy stakeholders to foster dialogue and build coalitions. Deliver multi channel campaigns to advance objectives on critical issues like AI for Science, AI safety frameworks, and resilience. Build high trust relationships with key policymakers, think tanks, and opinion formers, acting as a crucial bridge between external policy debates and internal strategy. EEO Statement Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Google Inc. is hiring for an experienced engineer focused on formal methods and AI systems. The role involves designing systems that produce formal proofs of code correctness and collaborating across teams in London, UK. A PhD in computer science and experience in static analysis or software verification are required. The position offers a competitive salary between $207,000 and $301,000 (USD), a 20% bonus target, equity, and extensive benefits. Candidates have the flexibility to work either in London or Mountain View.

Qualifications PhD degree in computer science, programming languages, formal methods, software engineering, or a related technical field, or equivalent practical experience. 4 years of experience in one or more of the following: programming language semantics, static analysis, abstract interpretation, software verification, or interactive theorem proving. 1 year of experience with a proof assistant (Lean, Coq, Isabelle, or similar). Preferred qualifications 2 years of experience with compiler infrastructure (Low Level Virtual Machine (LLVM) or GNU Compiler Collection (GCC or programming language formalization. 1 year of experience with large language models or machine learning for code or reasoning tasks. 1 year of experience in memory safety analysis, vulnerability research, or systems security. 1 year of experience with Lean 4. Experience building and scaling software verification tools for production codebases. Publication record at top formal methods and software security venues (e.g., POPL, PLDI, CCS, or S&P). Responsibilities Design and implement AI systems that produce formal proofs of code correctness, safety, and security using the Lean proof assistant. Formalize programming language semantics in Lean to enable verified static analysis of real world codebases. Prototype and evaluate novel techniques combining large language models with formal verification for automated code analysis and generation. Build tools, libraries, and infrastructure to scale formal verification to large codebases. Collaborate with researchers and engineers across AI, security, and compiler infrastructure teams. US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits. Location preferences: London, UK; Mountain View, CA, USA. You can choose your preferred working location at time of application. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Regulatory and Litigation Counsel, AI Safety Google London, UK Admitted to the bar and in good standing or otherwise authorized to practice law (e.g., have registered in-house status) in the state in which the position is located. 10 years of experience with legal, regulatory, and litigation matters, including strategically addressing, minimizing and avoiding regulatory risk. Experience engaging with regulators, including States AG, FTC, DOJ, and global data protection or consumer protection authorities. Preferred qualifications: Experience developing, evaluating, and maintaining programs that ensure products comply with laws, regulations, and external commitments. Experience working with technology companies and ability to understand complex technical issues. Experience with working with public company boards and their counsel, including special committees and audit committees. Knowledge of privacy, consumer protection, antitrust, contract, content moderation/safety, or IP law issues in a technology context. Excellent attention to detail, with the ability to be action-oriented and seek to meet the highest standards of integrity. Excellent written and verbal communication, time management, problem solving, and investigative skills. About the job As Corporate Counsel at Google, you work on the most exciting legal issues as disruptive technological innovations require creative and proactive legal guidance. You're part of a whip-smart group of in-house lawyers and the projects and cases you take on challenge you to think big and differently. You are collaborative ready to partner in initiatives that influence all aspects of the business and work with Googlers from all over the company. As an integrated part of the team, you proactively assess legal risks and advise on products that will not only move information into the 21st century, but move information law forward as well. As a Regulatory and Litigation Counsel, AI Safety, you will join an EMEA-based team that leads the strategy for defending the company in responses to governments and regulators. The role involves defining a defense strategy, conducting investigations, collection and review of information, and representing the company in engagements. 20th century laws don't always solve 21st century problems, and Google Legal crafts innovative approaches for working with some of the toughest legal challenges of the information age. Whether you're a patent attorney, an intellectual property expert or an engineer headed to law school, Google Legal lets you address unanswered legal quandaries and create new precedents. Our innovative services raise challenging questions that demand creative and practical answers. We provide those answers by working at the crossroads of the law and new technology, helping Google build innovative and important products for users around the world. Responsibilities Lead responses to regulatory inquiries, investigations, litigation, enforcement actions, and overlapping civil matters. Oversee the collection and production of accurate information in external submissions and disclosures. Provide legal advice on government and regulatory audits and exams. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Google Inc. is seeking a Regulatory and Litigation Counsel, AI Safety to work in London. The role involves leading responses to regulatory inquiries and strategizing defenses against government actions, challenging legal standards in the age of technology. Ideal candidates will have a strong legal background with over 10 years of experience, especially with regulators. Excellent communication and problem-solving skills are a must as you will craft innovative legal approaches in a collaborative environment.

Strategic Partner Development Lead, RCS for Business GTM (English or French) Google London, UK; Paris, France Note: By applying to this position you will have an opportunity to share your preferred working location from the following: London, UK; Paris, France. Bachelor's degree or equivalent practical experience. 7 years of experience in business development, partnerships, account management, or product commercialization. Experience working within the mobile messaging ecosystem (e.g., CPaaS, SMS aggregators, carriers, business messaging APIs or customer engagement platforms). Ability to communicate in English and French (fluency in French is required if you choose to be based in Paris, not required for London). Preferred qualifications: Proven track record of structuring, negotiating, and closing commercial agreements or technical partnership frameworks with C-level executives. Strong understanding of the local digital advertising, marketing, and enterprise SaaS landscape in your target market. Ability to navigate ambiguity in an emerging product category, translating technical features into highly compelling business value propositions. Analytical mindset with the ability to build data-driven business cases and measure return on investment (ROI) for partners. Excellent cross-functional collaboration skills, with experience aligning internal Product, Engineering, Legal, and Go-To-Market (GTM) teams across different regions. About the job Google's line of products and services to our clients never stops growing. The Partnerships Development team is responsible for seeking and exploring new opportunities with Google's partners. Equipped with your business acumen and extensive product knowledge, you are right on the front line of interacting with our partners, and helping them find ways to grow using Google's newest product offerings. Your knowledge of relevant verticals and relationships with key industry players will help shape our great applications and content for products such as YouTube, Google TV and Commerce. As a Strategic Partner Development Lead for Rich Communication Services (RCS) for Business, you will be at the forefront of the next evolution in conversational mobile messaging, as Google is committed to transforming how businesses and consumers interact in an agentic world through RCS, via a rich, conversational, AI-native and verified experience on both Android and iOS. In this role, you will support the commercialization and partnership strategy within your local market. You will navigate the complex conversational commerce ecosystem-engaging directly with a set of partners spanning AI-native botbuilders and Communication Service Provider (CSPs), Marketing Technologies (Martechs), Communications Platform as a Service (CPaaS) providers, messaging aggregators, and major enterprise brands. Your mission is to accelerate the localized adoption of RCS for Business, establishing it as the primary high-engagement channel for businesses. The Global Partnerships organization is responsible for exploring new opportunities with Google's partners. Google's Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. Google's Global Partnerships team supports Google's own Product teams with essential partnerships to help Google's user experiences in advertising, Search, Assistant, Maps, Travel, Shopping, Payments and more. Teams create product-enabling partnerships, go-to-market strategies and incubate business growth for a variety of products. Responsibilities Drive the hyper-growth of RCS Business Messaging in the market by building localized GTM playbooks, toolkits, and vertical-specific use cases (e.g., Retail, Banking, Travel) to deploy with and through partners to onboard major enterprise brands. Lead relationship management for existing ecosystem partners by enabling them to launch and scale RCS, optimizing performance, unblocking commercial or technical hurdles, and ensuring high campaign quality, while identifying and enabling new partnerships as business needs arise. Serve the market internally, collecting partner feedback and working closely with Google Product, Engineering, and Partner Engineering teams to shape the global RCS product roadmap. Negotiate and execute strategic agreements with local messaging providers, including but not limited to AI-native agent builders and CSPs, Customer Relationship Management (CRM)/Customer Data Platform (CDPs), MarTechs, CPaaS providers and other industry participants to expand market adoption of RCS. Act as the local subject matter expert for RCS for Business, representing Google at regional telecommunications forums, digital marketing events, and high-impact executive pitches. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. 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Google Inc. is seeking a Software Engineering Manager for its Learning Platforms team to lead technical initiatives across multiple teams in London, UK. This role requires a strong background in software development and technical leadership, along with experience in people management. Responsibilities include setting team priorities, developing technical goals, and ensuring best practices in software development. The compensation is competitive, with a base salary range of $207,000-$300,000, alongside bonuses and equity.

Software Engineer Manager, Learning Platforms, Global Business Organization Google Chicago, IL, USA; New York, NY, USA; London, UK X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Chicago, IL, USA; New York, NY, USA; London, UK. Qualifications Bachelor's degree, or equivalent practical experience. 8 years of experience in software development. 3 years of experience in a technical leadership role. 2 years of experience in a people management or team leadership role. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 3 years of experience working in a structured organization. Experience with machine learning (ML) model fine-tuning, evaluation, and performance optimization for user-facing systems. About the job Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started and as a manager, you guide the way. With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally. The Global Business Organization (GBO) is the engine that powers Google's full ecosystem of products and services to help customers and partners succeed and grow. GBO includes the commercial arms of Ads sellers, business development teams, and customer services and support, as well as overlay programs that enable coordinated engagement with Google's most complex and important customers and partners. The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams. Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching. Develop the mid-term technical goals and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs. Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems. Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.