We are seeking a Manager, Applied AI to lead the development and deployment of novel applications, leveraging Google's generative AI models.
\nThis role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google & top Google customers.
\nYou will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest generation models.
\nWe are looking for a manager with a strong track record of building and shipping software, and leading engineering teams, ideally with some experience in early-stage environments, where you may have contributed to scaling products from initial concept to production.
\nThe ideal candidate will be motivated by the opportunity to drive product & business impact, and develop strong relationships with research teams.
\nJob Description
\nArtificial Intelligence could be one of humanity's most useful inventions. At Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.
\nThe mission of Agents Innovation is to create a powerful innovation flywheel that accelerates the development of next-generation agents, delivering continuous model improvements to Gemini and enabling seamless agentic deployment across Google's product ecosystem.
\nAs a Technical Program Manager for Agents Innovation, you will be at the heart of this flywheel. You will bring the execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.
\nIn order to set you up for success as a Technical Program Manager at Google DeepMind, we look for the following skills and experience:
\nAt Google DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.
\nWe're the GeminiApp team at Google DeepMind, on a mission to build the most helpful and personal AI assistant, giving everyone direct access to Google’s latest and most capable AI models. We are at an exciting inflection point, transforming how people collaborate with generative AI to enhance their productivity, spark creativity, and satisfy their curiosity.
\nWorking as an Administrative Business Partner on the GeminiApp team offers a distinct opportunity to operate at the epicenter of AI development at Google. You'll partner with brilliant minds and directly influence the trajectory of GeminiApp. Here, you’ll be encouraged to think beyond the immediate task, proactively finding creative solutions and taking ownership to make things happen.
\nThis Administrative Business Partner role will provide dedicated support for up to three leaders. This position is based in Mountain View (MTV) with a hybrid model of 3 days in-office per week.
\nKey responsibilities:
\nIn order to set you up for success as a Administrative Business Partner at Google DeepMind, we look for the following skills and experience:
\nA natural ability to quickly master new tools and technologies, with a passion for leveraging them to boost efficiency and productivity.
\nDeep understanding and practical application of project, program, and process management principles to solve operational challenges.
\nImpeccable discretion and confidentiality on all business matters.
\nExceptional ability to communicate, collaborate effectively, and build strong relationships with a diverse range of people, job functions, and leadership levels.
\nDemonstrated ability to thrive in ambiguous situations, manage competing priorities, and adapt swiftly to changing circumstances with composure and good judgment.
\nA strong desire for continuous learning, a willingness to step beyond your comfort zone, and the initiative to take on new challenges.
\nOutstanding written and verbal communication skills – clear, concise, engaging, and professional.
\nA track record of thriving in ambiguous, complex, and rapidly evolving work environments.
\nA genuine passion for technology, user experience, AI, and the future we're building at Google.
","enriched_at":1777036292885},{"id":"job_8d7c64e3-d3f","title":"Technical Program Manager, Agents Innovation - 12 Month FTC","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7839536","location":"London, UK","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We're looking for a Technical Program Manager to join our Agents Innovation team. As a Technical Program Manager, you will be at the heart of our innovation flywheel, bringing execution excellence to de-risk research bets and bring the latest Incubations to our users. You will drive the technical execution of programs that turn breakthrough agentic capabilities into production-ready models that power Gemini and Google products.
\nKey responsibilities:
\nTo succeed in this role, you will need 8+ years of experience leading complex, organizational-level technical programs in a software development or R&D environment. You should have a deep understanding of the AI model development lifecycle, including pre-training, post-training, and infrastructure constraints, especially in agentic development. You will also need proven ability to manage engineering backlogs, navigate technical ambiguity, and drive execution on high-priority research strikes.
","enriched_at":1777032857282},{"id":"job_f83051f4-3a4","title":"Administrative Business Partner, Gemini (12 months Fixed Term Contract)","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7822249","location":"Mountain View, California, US","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"Working as an Administrative Business Partner on the GeminiApp team offers a distinct opportunity to operate at the epicenter of AI development at Google. You'll partner with brilliant minds and directly influence the trajectory of GeminiApp. Here, you’ll be encouraged to think beyond the immediate task, proactively finding creative solutions and taking ownership to make things happen.
\nKey responsibilities:
\nAbout You:
\nIn order to set you up for success as a Administrative Business Partner at Google DeepMind, we look for the following skills and experience:
\nYour ability to be incredibly flexible, adaptable, and proactive will be paramount. A rapid learning curve, an enthusiastic embrace of new challenges, and the drive to find solutions independently in a dynamic setting are what will make you soar as a GeminiApp Executive Business Partner.
\nMinimum qualifications:
\nIn addition, the following would be an advantage:
\nJoin Google DeepMind as a Sr. Staff AI Product Designer on the GeminiApp team, crafting world-class iOS experiences for Gemini. This is a unique opportunity to be at the cutting edge of AI interface experimentation, tackling ambiguous, high-impact design challenges. You'll be instrumental in inventing novel interaction patterns and rich multimodal experiences for users to get the most out of AI, with carefully considered connection to iOS guidelines & patterns. Your work will push the boundaries of interface design beyond today's chat logs based on messaging apps, to create tomorrow's "natively AI" interfaces.
\nAs the Sr Staff AI Product Designer for Gemini on the iOS platform, you will be the architect of "first-of-their-kind" mobile interactions. We expect you to have 5 or more years designing for widely-respected iOS consumer apps. In this role, you aren't just designing an app; you are designing conversational experiences with agentic behaviours and system-wide intelligence. Your world-class solutions will show care and consideration for established native components and integrations that iOS users expect, while proposing novel new patterns that raise the bar for AI experiences on mobile devices. You will operate at the intersection of Google's frontier models and Apple's sophisticated hardware ecosystem. Your work will bridge the gap between high-latency LLM processing and the high-frequency, "instant-on" expectations of iPhone users. You will be a strategic partner to PMs, engineers, and researchers, ensuring that Gemini feels like a first-class citizen on iOS – intuitive, enjoyable, and indispensable.
\nThis role requires a blend of creative problem-solving, strong leadership, and a proven ability to translate complex user needs into impactful design solutions on the iOS platform. Some of the key responsibilities include:
\nWe are looking for a pivotal and highly impactful designer with compelling iOS platform expertise and design experience (5 years or more), capable of independently driving major design initiatives for AI product experiences. You should thrive in complex, rapidly changing environments, consistently delivering breakthrough design, learning to use emerging tools in your design process (e.g., vibe coding), and effectively aligning diverse stakeholders to achieve significant user value.
","enriched_at":1777029811887},{"id":"job_93d6207f-34d","title":"People and Culture Partner","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7530620","location":"London, UK","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"HR","description":"About Us
\nGoogle DeepMind is a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence.
\nAs a People & Culture (P&C) Partner to our Central Operations, Responsibility and Engagement (CORE) teams, you'll be a pivotal force in shaping and accelerating the delivery and performance of your Organisation's highest priorities. Working alongside the wider P&C team, you will collaborate directly with CORE senior leaders to cultivate healthy, high-performing teams.
\nYou'll deeply understand the business, provide strategic direction and coaching and lead change management initiatives across a dynamic, global organization. You will proactively design and implement creative people and culture solutions that not only drive exceptional team performance but also directly align with our ambitious organizational goals, delivering measurable, impactful results.
\nIn order to set you up for success as a People & Culture Partner at Google DeepMind, we look for the following skills and experience:
\nIn addition, the following would be an advantage:
\nWe are seeking a talented individual to join our Talent Acquisition team as a Talent Operations Associate. This is a fixed-term contract role that will sit within the TA Operations team, partnering with our Recruiters to provide interview coordination support and a white-glove experience exclusively to our senior and executive global talent pools.
\nYour key responsibilities will include:
\nTo succeed in this role, you will need to possess proven administrative skills, particularly in managing complex scheduling and handling large datasets. You should also be energized by a dynamic workplace, juggling multiple tasks with ease while maintaining high-quality outcomes.
\nAs a proactive problem solver who communicates effectively, you will welcome opportunities to implement innovative solutions. You will enjoy being part of a team and be able to build strong relationships with others, putting people at ease and creating understanding, including candidates.
\nYou will demonstrate a keen eye for detail, ensuring accuracy and efficiency in all your work. A growth mindset and a willingness to develop new skills will also be essential in this role.
\nIf you are a motivated and organized individual who is passionate about delivering exceptional candidate experiences, we encourage you to apply for this exciting opportunity.
","enriched_at":1776527680039},{"id":"job_6fb6ccf0-3f4","title":"Senior Manager, Society, Safety & Responsibility Communications (12 month Fixed-Term Contract)","source_url":"https://job-boards.greenhouse.io/deepmind/jobs/7771735","location":"London, UK","job_type":"contract","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"We are looking for an experienced Senior Manager to join our Society, Safety & Responsibility Communications team on a fixed-term contract spanning May 2026 to June 2027. In this role, you will sit at the critical intersection of technology, media, and public policy. Your job is to translate our technical breakthroughs, national partnerships, policy positions and corporate initiatives into clear, compelling narratives that drive trust in Google DeepMind amongst key opinion formers.
\nKey Responsibilities:
\nMedia Relations & Stakeholder Engagement:
\nCross-Functional Collaboration:
\nWe are seeking a Staff Research Engineer, Applied AI to lead the development and deployment of novel applications, leveraging Google's generative AI models.
\nThis role focuses on rapidly developing new features, and working across partner teams to deliver solutions, and maximize impact for Google and top customers.
\nYou will be instrumental in translating cutting-edge AI research into real-world products, and demonstrating the capabilities of latest-generation models.
\nWe are looking for engineers with a strong track record of building and shipping AI-powered software, ideally with experience in early-stage environments where they have contributed to scaling products from initial concept to production.
\nThe ideal candidate will be motivated by the opportunity to drive product & business impact.
\nKey responsibilities:
\nAbout you:
\nIn order to set you up for success as a Staff Research Engineer, Applied AI at Google DeepMind, we look for the following skills and experience:
\nRequired Skills:
\nPreferred Skills:
\nIf you are a passionate machine learning engineer with a drive to build innovative products and a desire to work at the forefront of AI, we encourage you to apply!
\nThe US base salary range for this full-time position is between $197,000 - $291,000 + bonus + equity + benefits.
","enriched_at":1776527644942}],"category_normalised":[{"category":"engineering","count":69},{"category":"design","count":7},{"category":"hr","count":3},{"category":"operations","count":1},{"category":"it","count":1}],"velocity":{"weeks":[{"week_start":"2026-03-09","count":32},{"week_start":"2026-03-30","count":10},{"week_start":"2026-04-13","count":34},{"week_start":"2026-04-20","count":5},{"week_start":"2026-05-04","count":1}],"trend":"accelerating","wow_pct":-80},"momentum":{"recent_14d":6,"prior_14d":34,"growth_pct":-82,"classification":"decelerating"},"salary_vs_industry":{"company_median":95500,"industry_median":280000,"percentile":6,"sample_size":3,"by_region":[{"region":"United States","company_median":95500,"industry_median":null,"sample":3}],"transparency_pct":4,"industry_transparency_pct":11,"transparency_warning":true},"market_share":{"company_jobs":82,"industry_total":1146,"share_pct":7.2,"rank":3,"peer_count":4},"ai_exposure":{"occupation_weighted_score":0.282,"skill_weighted_score":0.461,"top_exposed_titles":[{"title":"Research Scientist, Gemini Safety","count":3,"score":0.46},{"title":"Research Scientist, Gemini Information Tasks","count":3,"score":0.46},{"title":"Technical Program Manager, Agents Innovation - 12 Month FTC","count":2,"score":0.092},{"title":"Tech Strategy Product Manager, Google DeepMind","count":2,"score":0.32},{"title":"Tech Strategy Director, Compute, Google DeepMind","count":2,"score":0.156},{"title":"Staff Research Engineer, Applied AI","count":2,"score":0.461},{"title":"Staff AI Product Designer, GeminiApp Device Experience","count":2,"score":0},{"title":"Staff AI Product Designer, Gemini Assistant, GeminiApp","count":2,"score":0},{"title":"Research Scientist, Safety and Alignment for Humanoid Robotics","count":2,"score":0.461},{"title":"Research Scientist, AQUA","count":2,"score":0.461}],"top_exposed_skills":[{"skill":"Python","count":7,"score":0.464},{"skill":"Deep Learning","count":6,"score":0.461},{"skill":"Reinforcement Learning","count":10,"score":0.461},{"skill":"JAX","count":7,"score":0.461},{"skill":"Multimodal Learning","count":4,"score":0.461},{"skill":"Computer Vision","count":3,"score":0.46},{"skill":"TensorFlow","count":3,"score":0.46},{"skill":"PyTorch","count":3,"score":0.46},{"skill":"Few-Shot Learning","count":3,"score":0.46},{"skill":"Post-training Methods","count":3,"score":0.46}]},"peer_set":[{"slug":"perplexity-ai","name":"Perplexity AI","total_jobs":10,"similarity":0.5,"momentum_classification":"stable"},{"slug":"xai","name":"xAI","total_jobs":315,"similarity":0.25,"momentum_classification":"decelerating"},{"slug":"anthropic","name":"Anthropic","total_jobs":732,"similarity":0.11,"momentum_classification":"decelerating"}],"skills_lq":[{"skill":"Innovation","company_count":4,"company_pct":4.9,"industry_pct":0.1,"lq":51.9,"required_pct":50},{"skill":"Adobe Creative Suite","company_count":4,"company_pct":4.9,"industry_pct":0.1,"lq":51.9,"required_pct":75},{"skill":"Product Design","company_count":3,"company_pct":3.7,"industry_pct":0.1,"lq":38.93,"required_pct":100},{"skill":"Principle","company_count":4,"company_pct":4.9,"industry_pct":0.2,"lq":25.95,"required_pct":75},{"skill":"Generative AI","company_count":7,"company_pct":8.5,"industry_pct":0.4,"lq":22.71,"required_pct":71},{"skill":"Figma","company_count":4,"company_pct":4.9,"industry_pct":0.3,"lq":17.3,"required_pct":75},{"skill":"Software Development","company_count":6,"company_pct":7.3,"industry_pct":0.6,"lq":12.98,"required_pct":67},{"skill":"Systems Thinking","company_count":3,"company_pct":3.7,"industry_pct":0.3,"lq":12.98,"required_pct":100},{"skill":"Prototyping","company_count":3,"company_pct":3.7,"industry_pct":0.3,"lq":12.98,"required_pct":100},{"skill":"User Experience","company_count":3,"company_pct":3.7,"industry_pct":0.3,"lq":12.98,"required_pct":67},{"skill":"Natural Language Processing","company_count":6,"company_pct":7.3,"industry_pct":0.8,"lq":9.73,"required_pct":67},{"skill":"Deep Learning","company_count":6,"company_pct":7.3,"industry_pct":0.8,"lq":8.65,"required_pct":100},{"skill":"Time Management","company_count":3,"company_pct":3.7,"industry_pct":0.6,"lq":6.49,"required_pct":100},{"skill":"Computer Vision","company_count":3,"company_pct":3.7,"industry_pct":0.6,"lq":6.49,"required_pct":100},{"skill":"TensorFlow","company_count":3,"company_pct":3.7,"industry_pct":0.6,"lq":6.49,"required_pct":67},{"skill":"Program Management","company_count":5,"company_pct":6.1,"industry_pct":1,"lq":5.9,"required_pct":100},{"skill":"Product Management","company_count":6,"company_pct":7.3,"industry_pct":1.5,"lq":4.87,"required_pct":100},{"skill":"JAX","company_count":9,"company_pct":11,"industry_pct":2.3,"lq":4.87,"required_pct":78},{"skill":"Reinforcement Learning","company_count":10,"company_pct":12.2,"industry_pct":3.3,"lq":3.71,"required_pct":90},{"skill":"Artificial Intelligence","company_count":14,"company_pct":17.1,"industry_pct":6.2,"lq":2.75,"required_pct":71}],"geographic_shift":{"current":[{"region":"United States","count":56,"share_pct":68.3},{"region":"United Kingdom","count":21,"share_pct":25.6},{"region":"India","count":2,"share_pct":2.4},{"region":"EMEA Other","count":2,"share_pct":2.4},{"region":"Canada","count":1,"share_pct":1.2}],"emerging":[{"region":"United Kingdom","recent_30d":15,"prior_30d":6,"growth_pct":150}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":3,"exec_prior_90d_avg":1,"exec_growth_pct":200,"notable_exec_hires":[{"title":"Director, Engineering, Create","location":"Mountain View, California, US","posted_at":"2026-04-18"},{"title":"Director, Engineering, Create","location":"Mountain View, California, US","posted_at":"2026-04-18"},{"title":"Director, UX, GeminiApp, Growth and Discovery","location":"Mountain View, California, US","posted_at":"2026-04-18"}]},"posting_dynamics":{"median_days_open":33,"industry_median_days_open":28,"long_open_count":0,"closure_rate_pct":52}}}}