Braintrust jobs

Field Marketing Manager – Deep Brain Therapies 2 Locations posted: Posted 15 Days Ago

Director, Thought Leader Liaison (Neuro) Remote - United States posted: Posted 4 Days Ago

Trust and Safety Intelligence Analyst, Fraud and System Abuse Washington D.C., DC, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will sit at the center of Google's trust and safety intelligence work, owning the strategic risk picture for how bad actors manipulate LLMs and exploit Google's products to deceive and financially harm users. You'll synthesize signal from across the company into a coherent view of where both threat landscapes stand today and where they're heading. You will convert disparate inputs into clear, decision-ready intelligence that shapes policy, enforcement, detection, and model evaluations. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across

Product Counsel, AI Regulatory, DeepMind New York, NY, USA; +2 more The DeepMind Legal team is seeking a Product Counsel to partner with our AI research, product, and cross-functional teams to provide strategic advice and support for launches and regulatory and litigation matters. As a trusted advisor to the business, you will collaborate with legal, policy, regulatory, and compliance teams across the company at the intersection of advanced AI and emerging laws to advance the missions of DeepMind and Google. In doing so, you will use AI tools to supercharge you and your team's work. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $316000 - $352000 (USD) + 25% bonus target + bonus + equity + benefits US: $344000 - $383000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Advise DeepMind's research and product teams on the broad range of legal and

Manager, Privacy and AI Complaince, Ops Trust Bengaluru, Karnataka, IND Ops Trust manages privacy and AI Compliance for Amazon Operations. Our focus is to ensure individuals are never surprised by what data we collect, process, and share and that we delight regulators with the quality, transparency, and accuracy of our privacy documentation. We also ensure our AI models and systems are compliant with regulatory obligations and embed responsible AI by design. Key job responsibilities Lead, grow, and raise the bar for a team of executing privacy reviews, privacy requests, AI intakes, and AI compliance reviews. Set a high standard for quality and delivery, actively coach and develop team members, and build a talent pipeline that strengthens the organization over time. Identify systemic opportunities to accelerate work and leverage and create AI capabilities. Drive strategic prioritization of privacy and AI compliance workstreams across the team, balancing business urgency with long-term scalability. Own capacity planning and resource allocation to ensure consistent, high-quality delivery against competing demands. Architect and continuously improve mechanisms, playbooks, and standard operating procedures that enable your team to scale review throughput while maintaining rigor. Proactively identify gaps before they become blockers. Lead complex privacy and AI risk assessments for launched and launching applications, exercising sound judgment to make informed risk trade-offs and partnering with builders, legal, and senior leadership to drive resolution. Perform deep-dive analysis on privacy and AI processes and systems, identify systemic root causes, and develop scalable mitigations. Raise the bar by turning one-off fixes into durable,

Applied Scientist, Trust CX Innovations&AI Policy Bengaluru, Karnataka, IND Alexa+ is Amazon's next-generation, AI-powered assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. The Trust CX Innovations team is looking for an Applied Scientist with strong background in Generative AI space to build solutions that help in upholding customer trust for Alexa+. As an Applied Scientist in Trust CX innovations, you will be at the forefront of developing innovative solutions to critical challenges in AI trust and privacy. You'll lead research in trust-preserving machine learning techniques. We are working on revolutionizing the way Amazonians work and collaborate. You will help us achieve new heights of productivity through the power of advanced generative AI technologies. Key job responsibilities - Lead research initiatives in generative AI, focusing on LLMs, multimodal models, and frontier AI capabilities - Develop innovative approaches for model optimization, including prompt engineering, few-shot learning, and efficient fine-tuning - Pioneer new methods for AI safety, alignment, and responsible AI development - Design and execute sophisticated experiments to evaluate model performance and behavior - Lead the development of production-ready AI solutions that scale efficiently - Collaborate with product teams to translate research innovations into practical applications - Guide engineering teams in implementing AI models and systems at scale - Author technical papers for top-tier conferences - File patents for novel AI technologies and applications A day in the life You will be working with a group of talented scientists on researching

Workplace Trust Specialist, Workplace Trust: Privacy, AI, and Risk Berlin, Berlin, DEU Come build the future of privacy and AI with us! To get there, we need exceptionally talented, bright, and driven people. We work in a fast-paced environment across multiple industries, never losing our passion for customers. As a member of Workplace Trust, you will play a key role in operationalizing privacy and AI compliance across Amazon's global employee, candidate, and contingent worker populations. This includes engaging with multiple stakeholders across the enterprise to help ensure compliant outcomes. You will be responsible for consulting with key stakeholders to drive application approvals in Germany. In the execution of Amazon's global privacy obligations, you will rely heavily on your stakeholder management and relationship building skills. You are a communication expert, with the ability to adjust your message to your target audience. You are tech savvy and can translate IT tool and tech requirements into non-tech verbiage. You are familiar with the concept of Employee Representative Bodies and may have successfully collaborated with them in your previous roles. The successful candidate can support diverse stakeholders and communicate well across different levels of technical understanding; understanding potential concerns in advance and pro-actively addressing them while providing in-depth consultation to Employee Representative bodies. The successful candidate has the ability to synthesize diverse data sets and draw conclusions to develop and deploy innovative strategies to educate employees about IT tools. The 'day-to-day' aspect of this role will be to meet with local Employee Representative Bodies

Policy Specialist, Trust and Safety Hyderabad, Telangana, India Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. Develop, implement, and enforce scalable Google ads and shopping policies across multiple geographies. Innovate tools, systems and processes for implementing policies to maximize efficiency and optimize resources. Collaborate with policy, product and engineering teams to influence product and format policy decisions, in order to improve the user experience for policy-related issues at scale. Manage and resolve escalations from internal and external stakeholders. Identify escalation trends and provide feedback to strengthen formats, systems, policies, and processes. Identify gaps or conflicts in the existing policy framework, develop scalable solutions, and work to obtain consensus across the organization. Grow awareness and appreciation of advertising policy issues across the company, particularly among regional stakeholders. Work with sensitive content or be exposed to graphic, controversial,

Principal AI Engineer California - San Francisco; Washington - Seattle; Illinois - Chicago; California - Palo Alto; New York - New York; Washington - Bellevue We are seeking a highly skilled AI Platform Engineer to play a pivotal role in building the next generation of our ML/AI platform that doesn't just support ML models, but powers autonomous AI agents at enterprise scale. This role sits at the intersection of platform infrastructure and agent systems engineering. You'll build and maintain the core infrastructure, CI/CD pipelines, and platform services that underpin our machine learning initiatives and go further in designing the harnesses, sandboxes, and evaluation frameworks that let AI agents be developed, tested, and trusted in production. You'll work on systems that directly impact marketing, sales, service, and product growth verticals across the organization. This isn't a traditional infrastructure role. You should be comfortable wearing multiple hats of software engineering, agent systems design, and evaluation tooling. We're looking for engineers who think in flywheels: build →evaluate → improve → ship → repeat. What You'll Do Agent Harness & Flywheel Engineering Design and build agent harness infrastructure: the scaffolding that wraps LLM calls, manages tool use, handles retries, enforces policy, and feeds results back into iterative improvement loops. Implement agentic loop patterns with multi-turn reasoning, tool orchestration, memory management, and structured output handling as reusable platform primitives Build the agent flywheel: automated pipelines that collect agent traces, surface regressions, route failures to evaluation, and close the loop from production signal back to prompt/model

Executive Policy Engagement Lead, DeepMind London, UK In this role, you will be an experienced leader to co-design and scale DeepMind's Executive Policy Engagement function. You will help to set and drive the strategy for how DeepMind's executives build trust with governments and policymakers. You will own long-term engagement plans, brief and staff our executives for high-stakes events, and help to build an executive policy engagement function. You are an autonomous leader with advisory experience, operating expertly at the intersection of policy, communications, and executive management. You will collaborate closely and build trust with leaders in partner teams, including Communications and multiple executive offices. 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 learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Partner with leadership to build the executive policy engagement function. Own, design, and execute bespoke, long-term engagement strategies for our growing executive portfolio. Serve as the primary on-the-ground counsel for executives during international travel, providing real-time political insights and navigating stakeholder dynamics at major global forums. Draft researched briefing materials, speech content, and policy narratives to ensure

Trust and Safety Analyst, User Feedback Hyderabad, Telangana, India Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will analyze User feedback to identify opportunities of improving Policy enforcement on Google Ads. We value User and implement solutions to improve coverage, extract value for the feedback (i.e., Enforcement leads and opportunities to improve our policy coverage, Large Language Models (LLMs)/models to identify opportunities) and build solutions to make user accessible to product and enforcement. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy

Engineering Analyst II, Gemini and Labs Bengaluru, Karnataka, India Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. As a Senior Generative AI Engineering Analyst, you will be a thought leader responsible for architecting our approach to the complex risks associated with AI. You will move beyond day-to-day analysis to define the road map for model safety. Your role will be to anticipate future threats, develop novel evaluation paradigms, and influence Google's product and research direction to ensure safety is a foundational, non-negotiable component of our AI systems. You will have the ability to work across all levels in the organization. You will support in discussions that shape the future of AI at Google and beyond. You will collaborate with many teams within and outside of Trust and Safety. You also will partner with teams to drive

Talent Management Partner, DeepMind (Fixed-Term Contract) London, UK; +1 more 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 at Google . 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. Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in talent management, organizational development or HR. Preferred

DBS Therapy Consultant - Charlotte, NC Charlotte, NC Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Therapy Consultant for Deep Brain Stimulation Boston Scientific Neuromodulation About the role: At Boston Scientific Neuromodulation, you join a team that is focused on improving the lives of our patients through technology and service. Parkinson's Disease affects 10 million people worldwide, including more than 1 million in the US alone. Our global mission-our passion and purpose-is to support appropriate patients with cutting-edge technology. We are a global leader in Deep Brain Stimulation (DBS); and we launched that technology into the US market in 2018. If you have a passion for helping patients, a strategic mindset for advancing therapy in your local market, and the experience to support clinicians in complex cases; let's talk about how your skills paired with the Boston Scientific organization can advance Deep Brain Stimulation in your geography. Your responsibilities will include: Drive sales revenue to achieve territory objectives. Cultivating a customer base, continuously prospecting for new c

Executive Policy Engagement Manager, DeepMind London, UK In this role, you will drive the implementation of our executives' policy engagement strategies, develop briefings, manage complex international engagements, and prepare our leadership for high-profile global events. You are a dynamic professional working at the intersection of policy, communications, and executive management. 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. Collaborate with senior colleagues and executive offices to shape and drive the implementation of long-term policy engagement strategies for GDM executives. Draft briefing materials, talking points, and background notes. Brief executives ahead of critical engagements and provide on-the-ground support as part of a wider team. Develop tailored narratives and messaging to ensure all executive external communications are strategic, consistent, and highly impactful. Build and maintain an active network across government, think tanks, and industry partners to proactively support the delivery of the engagement strategy. Maintain the operational infrastructure including forward-planning, opportunity triage, and knowledge systems, while delivering concise, actionable updates on global policy and tech developments. Minimum qualifications: Bachelor's

Senior Reward Lead, DeepMind Mountain View, CA, USA In this role, you will partner with the North America and EMEA Heads of Reward & Recognition to create and deliver high-stakes reward programs, acting as a thought-leader and authoritative advisor to senior leadership, proactively identifying organizational gaps, and driving holistic solutions that ensure we remain a competitive destination for global AI talent. You'll co-own the delivery of critical programs with organization-wide impact. You will operate independently of organizational boundaries, advocating for long-term improvements to DeepMind-wide initiatives. You will serve as a reward expert, setting the standards for reward practices and nurturing talent through mentorship and coaching. While you lead through influence rather than hierarchy, you will be responsible for forming strategic cross-functional alliances that align the business with our overarching mission. 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $230,400 - $320,400 (USD) + 25% bonus target + bonus + equity +

Lead AI Engineer, Data Solutions California - San Francisco; Washington - Seattle; Illinois - Chicago; New York - New York We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time. This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production. What You'll Do Build the Agent Flywheel Design feedback loops that enable agents and ML systems to improve from real-world outcomes Track outcomes (engagement, conversion, quality) and evaluate agent performance Build pipelines that collect and structure agent traces into training and evaluation datasets Drive continuous improvement via prompting, policies, model selection, and fine-tuning Develop ML & Agent Systems Build and deploy ML models (classification, ranking, forecasting, recommendation) Design AI agents that combine LLM reasoning, tool usage, and ML decisioning Implement reusable patterns for multi-step reasoning, tool orchestration, and structured outputs Integrate models and agents into business-critical workflows Own Data & Model Pipelines Design and build scalable data pipelines (batch and near real-time) for training, evaluation, and inference Transform raw interaction data into features, labels, and evaluation datasets Enable continuous retraining and evaluation through tightly coupled data + model pipelines Ensure data quality, consistency, and reliability Evaluation & Experimentation Build offline and online evaluation frameworks Develop

DBS Therapy Consultant - Atlanta, GA Atlanta, GA Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing - whatever your ambitions. Therapy Consultant for Deep Brain Stimulation Boston Scientific Neuromodulation About the role: At Boston Scientific Neuromodulation, you join a team that is focused on improving the lives of our patients through technology and service. Parkinson's Disease affects 10 million people worldwide, including more than 1 million in the US alone. Our global mission-our passion and purpose-is to support appropriate patients with cutting-edge technology. We are a global leader in Deep Brain Stimulation (DBS); and we launched that technology into the US market in 2018. If you have a passion for helping patients, a strategic mindset for advancing therapy in your local market, and the experience to support clinicians in complex cases; let's talk about how your skills paired with the Boston Scientific organization can advance Deep Brain Stimulation in your geography. Your responsibilities will include: Drive sales revenue to achieve territory objectives. Cultivating a customer base, continuously prospecting for new c

Principal Analyst, Responsible AI Strategy Washington D.C., DC, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will drive strategy and alignment on Responsible AI risk areas with highest impact to minor users. You will be part of a highly-motivated, collaborative team, working with groups across the company to analyze how products impact users and broader society, and leveraging data to provide opportunities and solutions. You will work closely with cross-functional partner teams across Google (e.g., Product, Legal, UX, Operations, Research, Engineering, and Subject Matter Expert teams), and help solve challenging problems to ensure user trust in Google and our products. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet

Product Policy Lead, Generative AI New York, NY, USA; +1 more Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $164000 - $240000 (USD) + 20% bonus target + bonus +

Principal Strategist, Trust and Safety Monetization Education Singapore Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. We support our monetization partners at the intersection of platform safety and business growth. As part of Trust and Safety Monetization (TSM), we act as the operational bridge to the Global Business Organization (GBO). We ensure our partners have the clarity and support to focus on scaling their business while we maintain a safe, low-friction environment across the monetization network. In the role of Monetization Experience Education Specialist, your mission is to shift our ecosystem from reactive support to proactive partnership by architecting and deploying high-impact educational frameworks. By collaborating closely with Account Management and Policy teams, you will decode complex compliance rules into actionable knowledge-empowering publishers and advertisers to navigate our business generation ecosystem successfully and transparently. You will

Lead Technical Analyst, Workspace AI, Trust and Safety Seattle, WA, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The Workspace AI Trust and Safety team enables the rapid growth of Workspace AI businesses by curbing associated safety and security risks. We support products throughout their life cycle by advancing safety protection mechanisms in the earliest stages of design. Our portfolio includes both pre and post-launch capabilities, ensuring AI products are powerful, safe, secure, and aligned with our AI Principles. As the Staff Analyst for Workspace AI Trust and Safety, you will move beyond individual execution to define the direction for how we measure, mitigate, and prevent AI risks at scale. You will serve as the technical anchor for a team of analysts, setting the standards for our anti-abuse detection systems and safety frameworks. At Google

AI Platform Engineer Mexico - Mexico City About the Role We are seeking a highly skilled and motivated Lead AI Platform Engineer to play a pivotal role in the development of our ML/AI platform. This role will be instrumental in building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin our machine learning initiatives and product launches. You will work on critical projects that directly impact our marketing, sales, service, and product growth verticals of the organization. This isn't a traditional infrastructure role. You should be open to wearing multiple hats ; infrastructure, software engineering, UI/UX development, and AI-native tooling. We're looking for engineers who don't just build platforms for AI , they use AI to build the platform. You ship faster because you've made Claude Code, autonomous agents, and AI-powered developer tools part of your daily workflow, not an experiment you're still evaluating. We want innovative, out-of-the-box thinkers who aren't afraid to experiment, build complex systems, and tackle challenges across the full stack with AI as the force multiplier at every layer. What You'll Do AI-Native Engineering & Developer Velocity Use Claude Code (CLI) as a primary engineering tool writing, refactoring, debugging, and reviewing infrastructure and platform code with AI pair programming as the default, not the exception. Build and publish reusable AI tools, skills, and integrations in internal tool marketplaces so that platform capabilities are discoverable and reusable across engineering teams. Design and deploy autonomous agents that accelerate developer workflows, self-healing CI pipelines, automated

Senior Principal Analyst, Responsible AI Strategy Mountain View, CA, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The Responsible AI (RAI) pillar within Google Trust and Safety focuses on driving One Google solutions for industry-leading responsible AI applications. It is a global team with Responsible AI domain expertise and different backgrounds in operations, strategy, ethics, risk management, product management, and program management. Within RAI, the Responsible AI Strategy function fosters coherent strategies and approaches on a range of priority AI issues. We partner with teams across Alphabet and with others across industry to address key AI challenges; we develop and deliver evaluation frameworks; and we help partner teams navigate risks and opportunities related to AI-generated content. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of