Title: Strategic Deals Lead, Compute & Infrastructure Location: San Francisco United States Job Description: About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are seeking a Strategic Deals Lead, Compute & Infrastructure team member to drive the planning and execution of programs critical to Anthropic's compute infrastructure strategy. In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritize across technical and non-technical teams, and focus on securing and delivering compute capacity. Anthropic's AI models are available on both our first-party platforms (claude.ai and our API) as well as through our major cloud partners. Ensuring tight coordination between our internal teams and external partners is essential to our ability to stay on the frontier of AI development. You will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships. This role combines technical program management with elements of strategic operations, partnership development, and financial analysis. You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems. Responsibilities: - Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives - Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships - Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones - Support the structuring and negotiation of strategic compute deals, including financial modeling, term analysis, and vendor evaluation - Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners - Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility - Analyze financial and operational data to inform decision-making on compute capacity planning and vendor strategy - Provide clear and transparent reporting on program status, issues, and risks to leadership You might be a good fit if you have: - 8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies - Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data center/infrastructure) - Background in cloud computing, data center infrastructure, compute/silicon development, or technology-focused investment banking or consulting - Familiarity with data center infrastructure, compute hardware, and/or silicon development cycles - Comfort with financial analysis and modeling; experience with vendor financing arrangements is a plus - Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders - Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution - A track record of managing cross-functional initiatives in fast-paced, scaling technology environments - A passion for Anthropic's mission and ensuring safe AI development Strong candidates may also have: - Experience managing external partnerships with large-scale cloud providers or hardware vendors - Understanding of AI/ML infrastructure requirements and compute capacity planning - Experience with vendor financing, equipment leasing, or infrastructure investment analysis - Background in technical due diligence or technology M&A The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $250,000 - $310,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

Title: Staff+ Software Engineer, Claude App Infrastructure Locations: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We are the platform team for Anthropic's flagship consumer product — responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we are the team that makes sure it feels the same — or better. Beyond the foundation, we are building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, server-side tools. This is where the next generation of the product gets built — the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. What you'll do: - Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services - Build state management systems for long-running agent tasks—handling checkpoints, recovery, and resumption across failures - Develop authentication and authorization frameworks for delegated access—enabling Claude to act on behalf of users securely - Create observability and debugging tools for agent execution—understanding what Claude did, why, and how to make it better - Partner closely with product and research teams to define what's possible and ship it You may be a good fit if you: - Have 10+ years of experience building distributed systems, infrastructure, or platform services at the hyper scale - Comfortable building Cloud Native infrastructure on GCP, AWS, or Azure - Care deeply about security, isolation, and building systems that fail safely - Have experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) - Are comfortable with ambiguity—this is greenfield work, and you'll help define the architecture - Write clean, maintainable code in Python, Go, Rust, or similar - Want to work on problems that don't have existing playbooks Strong candidates may have: - Experience building multi-tenant execution platforms or serverless infrastructure - Background in security engineering, sandboxing, or isolation technologies - Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) - Experience with state machines, checkpointing, or durable execution patterns - Low-level systems experience (Linux internals, eBPF, container runtimes) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

• Administer and support hybrid IT infrastructure (primarily on-premises, with selected workloads in Microsoft Azure) • Install, configure, harden, and maintain Windows Server environments (2016–2022) • Manage on-premises Active Directory, Group Policy, DNS, DHCP, and other core Windows services • Perform basic administration of Azure infrastructure components (VMs, Virtual Networks, routing, Load Balancer, VPN connectivity, DNS, RBAC, monitoring) • Administer and troubleshoot Microsoft SQL Server, including backup strategies, restore procedures, and performance optimization • Manage Debian-based Linux servers hosting infrastructure services (e.g., Redis/Kafka) • Support and troubleshoot containerized services on Linux hosts using Docker Compose • Design, implement, and maintain infrastructure monitoring and alerting • Administer and troubleshoot network services (routing, DNS, DHCP, SMTP, VPN) • Manage source control systems (TFS / Azure DevOps Server, Git) • Automate infrastructure operations using PowerShell • Investigate incidents, perform root cause analysis, and implement preventive measures • Maintain technical documentation and operational standards • Collaborate with internal teams and customers to resolve issues and improve systems

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team As a platform company powering businesses all over the world, Stripe processes payments, runs marketplaces, detects fraud, helps entrepreneurs start an internet business from anywhere in the world. Stripe's AppSec Engineers build scanning platforms and tooling, alert and remediation pipelines, ensure reliable data, and transform data from various inputs and applications used to ultimately represent security posture across all of Stripe. At Stripe, we are building security scanning and posture infrastructure using data science tooling and big data systems that will help us with scale while making onboarding and analysis of new data easy and transparent. Rather than traditional commercial tooling, you’ll help to drive codified processes, data analytics and automation. This is a unique challenge for a cyber professional interested in non-traditional security monitoring and response designed to function within a development operations framework. You’ll maintain strong partnerships with the security assessment and security discovery teams on capabilities and other security teams to understand the interfaces to those systems useful for monitoring and response throughout Stripe. What you’ll do Responsibilities - Understand data tooling available at Stripe and determine how to best leverage, modify, or fork them for use by security - Create libraries, tooling and platform needed to operationalize continuous security testing tools at scale - Enable holistic data integration to support advanced data analytics - Maintain libraries that enable interaction with various internal and external data sources and systems used for correlation of security posture logic - Create a reliability layer for metrics related to the data pipeline both for easy debugging and constant improvement of bottlenecks - Create APIs to help security teams access underlying data Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - A strong engineering background with interest in data. - Experience writing production Python and Go code - Experience developing and maintaining distributed systems built with open source tools - Experience building libraries and tooling that provide beautiful abstractions to users - Experience integrating with CI/CD developer flows - Experience with tools such as Kafka, Airflow and various Notebook technology - 4+ years of relevant experience in Security - Experience as a consumer of data science tooling and infrastructure - Experience security technologies including endpoint detection, network technologies, AWS cloud services - Strong understanding of the technical capabilities needed for an effective appsec and vulnerability management capability - Ability to build strong relationships and drive cross functional projects with engineering partners Preferred qualifications - Ability to drive concurrent projects and initiatives while managing operational responsibilities - An exemplary, user-focused communication style; emphasizing clarity, empathy and accuracy - Demonstrated success working remotely - Ability to deliver capabilities to teams in an iterative manner while building towards a larger vision - Demonstrated success overseeing internal tool development and automation at scale - Experience with collection of compliance artifacts, security incidents and risk awareness