The Economic Research team at Anthropic studies the economic implications of AI on individual, firm, and economy-wide outcomes. We build scalable systems to monitor AI usage patterns and directly measure the impact of AI adoption on real-world outcomes. We publish research and data that is clear-eyed about the economic effects of AI to help policymakers, businesses, and the public understand and navigate the transition to powerful AI.

In this role, you will work closely with teams across Anthropic,including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy,to build scalable and robust data systems that support high-leverage, high-impact research. Strong candidates will have a track record building data processing pipelines, architecting & implementing high-quality internal infrastructure, working in a fast-paced startup environment, navigating ambiguity, and demonstrating an eagerness to develop their own research & technical skills.

Responsibilities:

• Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy.
• Expand privacy-preserving tools to enable new analytic functionality to support research needs.
• Design and implement novel data systems leveraging language models (e.g., CLIO) where traditional software engineering patterns don't yet exist.
• Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis.
• Contribute to the strategic development of the economic research data foundations roadmap
• Ensure data reliability, integrity, and privacy compliance across all economic research data infrastructure
• Lead technical design discussions to ensure our infrastructure can support both current needs and future research directions
• Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards.
• Partner closely with researchers, data scientists, policy experts, and other cross-functional partners to advance Anthropic’s safety mission

You might be a good fit if you have:

• Experience working with Research Scientists and Economists on ambiguous AI and economic projects
• Experience with building and maintaining data infrastructure, large datasets, and internal tools in production environments.
• Experience with cloud infrastructure platforms such as AWS or GCP.
• Take pride in writing clean, well-documented code in Python that others can build upon
• Are comfortable making technical decisions with incomplete information while maintaining high engineering standards
• Are comfortable getting up-to-speed quickly on unfamiliar codebases, and can work well with other engineers with different backgrounds across the organization
• Have a track record of using technical infrastructure to interface effectively with machine learning models
• Have experience deriving insights from imperfect data streams
• Have experience building systems and products on top of LLMs
• Have experience incubating and maturing tooling platforms used by a wide variety of stakeholders
• A passion for Anthropic's mission of building helpful, honest, and harmless AI and understanding its economic implications.
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
• Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.

Strong candidates may have:

• Background in econometrics, statistics, or quantitative social science research
• Experience building data infrastructure and data foundations for research
• Familiarity with large language models, AI systems, or ML research workflows
• Prior work on projects related to labor economics, technology adoption, or economic measurement

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We were named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

About the Team

The Core Data team’s mission is building a centralized data platform for Cloudflare that provides secure, democratized access to data for internal customers throughout the company. We operate infrastructure and craft tools to empower both technical and non-technical users to answer their most important questions. We facilitate access to data from federated sources across the company for dashboarding, ad-hoc querying and in-product use cases. We power data pipelines and data products, secure and monitor data, and drive data governance at Cloudflare.

Our work enables every individual at the company to act with greater information and make more informed decisions.

About the Role

We are looking for a systems engineer with a strong background in data to help us expand and maintain our data infrastructure. You’ll contribute to the technical implementation of our scaling data platform, manage access while accounting for privacy and security, build data pipelines, and develop tools to automate accessibility and usefulness of data. You’ll collaborate with teams including Product Growth, Marketing, and Billing to help them make informed decisions and power usage-based invoicing platforms, as well as work with product teams to bring new data-driven solutions to Cloudflare customers.

Responsibilities

• Contribute to the design and execution of technical architecture for highly visible data infrastructure at the company.
• Design and develop tools and infrastructure to improve and scale our data systems at Cloudflare.
• Build and maintain data pipelines and data products to serve customers throughout the company, including tools to automate delivery of those services.
• Gain deep knowledge of our data platforms and tools to guide and enable stakeholders with their data needs.
• Work across our tech stack, which includes Kubernetes, Trino, Iceberg, Clickhouse, and PostgreSQL, with software built using Go, Javascript/Typescript, Python, and others.
• Collaborate with peers to reinforce a culture of exceptional delivery and accountability on the team.

Requirements

• 3-5+ years of experience as a software engineer with a focus on building and maintaining data infrastructure.
• Experience participating in technical initiatives in a cross-functional context, working with stakeholders to deliver value.
• Practical experience with data infrastructure components, such as Trino, Spark, Iceberg/Delta Lake, Kafka, Clickhouse, or PostgreSQL.
• Hands-on experience building and debugging data pipelines.
• Proficient using backend languages like Go, Python, or Typescript, along with strong SQL skills.
• Strong analytical skills, with a focus on understanding how data is used to drive business value.
• Solid communication skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Desirable Skills

• Experience with data orchestration and infrastructure platforms like Airflow and DBT.
• Experience deploying and managing services in Kubernetes.
• Familiarity with data governance processes, privacy requirements, or auditability.
• Interest in or knowledge of machine learning models and MLOps.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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Responsibilities: Lead a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success. Partner with Engineering Managers to create roadmaps that deliver milestones toward a cohesive engineering vision. Understand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet user needs. Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion. Work with high-visibility teams and their stakeholders to support the Infrastructure's key engineering initiatives. Provide hands-on technical leadership (architecture/design, vision/direction/requirements setting, and incident response processes) for team members. Build amazing end-to-end API, developer experiences, and Stripe's public API infrastructure and tooling. Ensure our APIs are secure, reliable, and performant while solving product problems and building delightful API and developer experiences for our users. Building the future of the Stripe API and scaling Stripe's API Infrastructure while working with product teams to extend the capabilities of our APIs.

Requirements: 10+ years of technical experience or 7+ years in infrastructure/platform engineering field 5+ years in a strategic technical leadership role Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g., building internal or external developer products). Hands-on experience building infrastructure and products for internal or external customers. Proven track record of delivering pragmatic solutions that accelerate business growth. Ability to adjust conversations from high-level discussions to detailed coding. Thrives on a high level of autonomy and responsibility. Clear and persuasive writing and in-person communication. Strong problem-solving skills, critical thinking, determination, and a growth mindset. Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high-level psychological safety for all team members and partners. Proficient in at least one of the programming languages (Java, Ruby, Python, Go).

Preferred qualifications: Strong written and verbal communication skills for different audiences (leadership, users, company-wide). Experience with a variety of common infrastructure platforms (databases, logging, event streams, metrics, caching, etc). Experience leading partially remote teams. Experience developing sustainable, in-house framework and abstraction ecosystems in large engineering orgs. Experience building serverless platforms. Experience managing rigorous incident response processes and on-call rotations.

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