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Government Affairs Lead Jobs

637 active opportunities · Updated for October 2026

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Explore current government affairs lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

M
23 days ago

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Scientist What is the opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. What will you do? • Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards. • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. • Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions. • Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network. • Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions. • T

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M
23 days ago

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager, Tax Overview: This role is responsible for supporting global employment tax compliance, advisory, risk management, and project execution activities. The role serves as a key technical resource and works closely with regional stakeholders and external advisors to ensure operational excellence and compliance across global employment tax processes. Role: • Support internal stakeholders on federal, state, and local employment tax compliance activities, such as reviewing tax notices, statutory tax filings, and reconciliations • Assist in research to support tax positions, resolve multi-state withholding issues, reciprocity agreements, nonresident allocation questions, and cross-border tax implications • Assist in taxation and reporting of equity compensation and incentive plans (RSUs, stock options, ESPP, ISIP-type plans) across jurisdictions, including year-end true-ups, and recharge arrangement considerations. • Provide tax guidance to cross-functional partners on the employment tax implications of compensation, benefits, travel & expense programs, and remote/flexible work arrangements globally. • Collaborate with stakeholders to develop processes and procedures to ensure accurate tax reporting and withholdings on employee compensation and benefits including long-term incentives and bonus

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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Specialist, Product Express Reporting and Analytics Job Title Specialist - Product Express Reporting and Analytics Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Product Express is a no-code process orchestration and data capture platform. Product Express makes it simple, fast and transparent for Customers to adopt Mastercard products and services, directly and/or with our ecosystem partners. Customers can easily select the best payment solutions for their needs, quickly identify the right partners to implement them – when partners are relevant, and progress from application to launch with full transparency at every step. Part of Mastercard Optimization tea

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M
23 days ago

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Analyst, Media Planning Overview The US Media Analyst assists with the development, execution, and measurement of integrated media campaigns across key business priorities, product launches, and audience segments. Reporting to the US Media Director, this role partners cross-functionally with Marketing, Finance, Product, Research, and Agency teams to ensure campaigns are delivered with operational excellence. The Analyst works closely with the media agency to oversee campaign setup, execution, optimization, and reporting, helping drive effective and efficient media investments. This is an exciting opportunity for a media professional looking to expand their executional expertise while contributing to the growth of a high-profile brand and business in a fast-paced, collaborative environment. Role: Campaign Management • Support U.S. media team in planning and execution of integrated media campaigns across digital, social, video, search, programmatic, CTV and emerging channels. • Track campaign launches and ensure flawless execution. • Assist with planning deliverables, including audience sizing, channel mix, partner consideration set, budget allocation, timelines, and approvals across internal and external partners. • Work closely with the cross-functional marketing and product team

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SA
Scale AI
📍 San Francisco• Full-time• From $216K/yr
26 days ago

Scale Labs, Research Scientist — Agent Robustness As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Agent Robustness you will work on the fundamental challenges of building AI agents that are safe and aligned with humans. For example, you might: Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them; Design and build harnesses to test AI agents’ tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment; Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use; Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents. Ideally you’d have: Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Practical experience conducting technical research collaboratively. You should be comfortable building and leveraging agent scaffolding, designing evaluation harnesses, an

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SA
Scale AI
📍 San Francisco• Full-time• From $216K/yr
26 days ago

Scale Labs, Research Scientist — AI Controls and Monitoring As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs; Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected; Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps; Collaborate with policymakers, engineers, and other researchers to establish standards and benchmarks for AI monitoring and escalation. Ideally you’d have: Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Practical experience conducting technical research collaboratively. You should be

awsrestmachine learning
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SA
Scale AI
📍 San Francisco• Full-time• From $302.4K/yr
26 days ago

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate t

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SA
Scale AI
📍 San Francisco• Full-time• From $216K/yr
26 days ago

Scale Labs, Research Scientist — Safety Post Training As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist working on Safety Post-Training you will develop and apply post-training methods and interpretability techniques to make frontier AI systems safer, and better understood by researchers and policymakers.. For example, you might: Design and run post-training pipelines to study how training choices affect model safety, robustness, and alignment properties; Develop interpretability-informed evaluations that reveal how and why models produce unsafe, deceptive, or otherwise undesirable behaviors, and use those insights to guide targeted mitigations; Collaborate with policymakers, engineers, and other researchers to translate post-training and interpretability findings into actionable safety standards, evaluation benchmarks, and best practices. Ideally you’d have: Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance. Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches. A track record of published research in machine learning, particularly in generati

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SA
Scale AI
📍 San Francisco• Full-time• From $180K/yr
26 days ago

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. Responsibilities: Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal Collaborate closely with internal operators (your use

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TN
26 days ago

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a talented, experienced and versatile reporter to join our Business team to cover technology in Asia. The contest between the United States and China for technological supremacy – spanning artificial intelligence, semiconductors, robotics and other emerging fields – is one of the defining stories of our time. We are looking for a journalist who can break news from companies and governments across Asia and translate complex technical developments into clear and compelling journalism for a broad audience. A firm understanding of the geopolitical context to technology is necessary. China will be central to the beat, reflecting its importance to the region and the global economy. The ideal candidate is an energetic and determined beat reporter who thrives on competition and ambitious storytelling. The role calls for a rich mix of scoops, breaking news, analysis, explainers and enterprise reporting that reveals the forces reshaping technology, business and geopolitics. Although the reporting will begin in Asia, stories must draw wider global connections. The reporter will work closely with correspondents around the world and collaborate across Business, International, Breaking News, Video and Graphics, contributing to articles, live coverage, newsletters, audio, visual journalism and other formats. This role will be based in the APAC region; the location of the role will be discussed with the recruiter duri

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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview MasterCard is seeking talented individuals to join our Emerging Payments Technology team in Pune, India. MasterCard is researching and developing the next generation of products and services to enable consumers to securely, efficiently, and intelligently conduct transactions regardless of channel. Whether through traditional retail, mobile, or e-commerce, MasterCard innovation is leading the digital convergence of traditional and emerging payments technologies across a wide variety of new devices and services. Join our team and help shape the future of connected commerce! Role The Consultant, Software Engineering is a hands-on developer specializing in Java development with a particular focus producing software development kits (SDKs) and API services in support of MasterPass, our digital wallet solution. As a Consultant on the Digital Payments Technology team, you will be responsible for helping design and implement SDKs and API services across multiple products and services. You’ll work closely with other team technical leads and with our Product Management team, and other stakeholders. Working within an agile development methodology, you will collaborate with and mentor other engineers and with other technical delivery teams, implement solid, robust solutions f

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role All staff at Mastercard are expected to demonstrate 'Mastercard Way' cultural values every day - own it, simplify it, sense of urgency, thoughtful risk-taking, unlock potential, and be inclusive – with a relentless focus on our customers. As a Software Development Engineer II at Mastercard, you are expected to perform the following general duties: • Own tasks (dev, test, deployment) at an application/software component level • Able to troubleshoot and refactor existing code • Adopt new languages and architecture patterns needed for the work • Influence the decisions made by the team <

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Consultant/Senior Research Analyst (Qualitative Research), Advisors Research Centre Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. All About Us The Data & Services team is a key differentiator for Mastercard providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. We combine traditional management consulting with our rich data assets and in-house technology to provide our clients with powerful strategic insights and recommendations. Centered on data-driven technologies an

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Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Product Management - Tokenization Role Summary The Director, Product Management – Tokenization is responsible for defining and executing the strategic vision, product roadmap, and commercialization of tokenization solutions across the digital payment ecosystems. This role will lead the product development, deployment and scaling of tokenization capabilities that enhance payment security, enable digital experiences, support ecosystem partners, and drive payment innovation. The successful candidate will collaborate closely with issuing and acquiring partners, card schemes, digital wallet providers, merchants, fintechs, technology teams, risk, compliance, and external stakeholders to deliver secure, scalable, and commercially successful tokenization products. Key Responsibilities Product Strategy & Leadership - Define and own the tokenization product strategy aligned with business objectives and market opportunities. - Act as a support function to the markets and help accelerate market plans - Develop and maintain a multi-year product roadmap for payment tokenization services. - Identify emerging industry trends, technologies, regulations, and competitive developments impacting tokenization and digital payments. - Drive innovation across card-on-file, network tokenization, wa

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Software Engineer Overview About Ethoca Ethoca, a Mastercard company, is a global collaboration-based technology services provider that connects card issuers and merchants to combat fraud, enhance customer experience, and prevent disputes. To support our continued growth and success, we are seeking a talented Senior Software Engineer to join the Ethoca team. In this role you will be part of a highly agile team building exciting and innovative products delivered at scale to global markets. Role The Senior Software engineer will work within a cross-functional development team to estimate and own delivery tasks (design, dev, test, deployment, configuration, documentation) to meet the business requirements and enhance Ethoca’s product suite. This position requires collaboration with other engineering teams to deliver a wide range of strategic and tactical solutions. The ideal candidate should be proficient in entire SDLC including automation and product analysis. Given the diverse set of tools and services used across the business, the candidate will be exposed to various technologies and should possess a willingness to learn and adapt. You are passionate about design and technology and committed to doing things properly to avoid tech debt. • Participate in team prioritisation disc

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