Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the Team

The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.

About the Role

As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.

Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.

Responsibilities

• Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
• Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
• Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
• Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
• Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.

You May Be a Good Fit If You:

• Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
• Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
• Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
• Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
• Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
• Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
• Are excited about the potential for AI to accelerate scientific discovery

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.

This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.

What You'll Do

• Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
• Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
• Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
• Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
• Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability 
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have a strong interest in LLM serving; prior inference or ML experience is not required 
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With:

• LLM inference optimization, batching, and caching strategies
• Capacity-constrained scheduling or shared-resource test infrastructure
• Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
• Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
• Proficiency in Python or Rust

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

About the Role

We are seeking a GRC Automation Lead to join our GRC organization and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems. 

This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalize it, and make it actionable. Success in this role comes from understanding how systems connect and how data flows between them, not from writing code yourself.

At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments. Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities: 

• Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.
• Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.
• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.
• Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.
• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.
• Design and deploy agentic AI workflows that extend team capacity, using Claude to serve as a virtual GRC analyst to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.
• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.
• Build and lead an AI-forward GRC engineering function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

You may be a good fit if you:

• Have 12+ years of total experience and 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.
• Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.
• Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems more than your programming language proficiency.
• Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalize it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.
• Understand APIs and integration patterns: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation.
• Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.
• Have strong analytical and problem-solving skills with attention to detail necessary for compliance work, balanced with pragmatism about risk-based prioritization in fast-paced environments.

Strong candidates may have:

• Experience designing or implementing AI-powered automation, agentic workflows, or LLM-based tooling in operational contexts.
• Experience with GRC platforms such as ServiceNow GRC, Vanta, Drata, OneTrust, RSA Archer, or similar tools including configuration, customization, and integration capabilities
• Familiarity with scripting languages (Python or similar) for automation tasks, API interactions, and data transformation.
• Prior experience in high-growth startup environments demonstrating ability to build scalable processes and adapt quickly to changing requirements and priorities
• Familiarity with Infrastructure as Code tools (Terraform, CloudFormation, Ansible) and DevSecOps practices including CI/CD pipeline integration and policy-as-code implementations.
• Familiarity with cloud platforms (AWS, GCP, Azure) and an understanding of how compliance-relevant data can be extracted from their APIs and logging systems.

Deadline to apply: None, applications will be received on a rolling basis.

About the role

As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.  You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.

In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members.  You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.

Responsibilities:

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars

• Define and execute the strategic roadmap for product data foundations and analytics capabilities

• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts

• Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements

• Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team

• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams

• Foster a culture of technical excellence, continuous learning, and data-driven decision making

• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

You might be a good fit if you have:

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment

• 8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles

• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture

• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools

• Proven track record of building and leading high-performing teams

• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights

• Demonstrated ability to balance strategic thinking with hands-on technical leadership

• Strong communication skills with the ability to translate complex technical concepts for diverse audiences

• Experience scaling analytics functions from early stage to maturity in rapidly changing environments

• Track record of establishing data governance, quality standards, and best practices

• A bias for action and urgency, not letting perfect be the enemy of the effective

• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end

• A passion for Anthropic’s mission of building helpful, honest, and harmless AI

About the Role

As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. 

Responsibilities:

• Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
• Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Become an expert in our organization’s data models and the company's data architecture

You might be a good fit if you have:

• 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
• Expertise in SQL and Python to transform data into accurate, clean data models.
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
• A bias for action and urgency, not letting perfect be the enemy of the effective.
• 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.
• Experience building an Analytics Data Engineering (or similar) function at start-ups. 
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
• Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Are curious about LLM serving; prior inference or ML experience is not required
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• Have experience working with external partners to align goals and deliver impact
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

About the role

Anthropic’s model weights and training infrastructure are among the highest-value targets in the technology sector, facing nation-state, supply-chain interdiction, and insider threats that conventional enterprise security programs were not built to address. As Commercial Counsel, Infrastructure Security for Compute and Infrastructure at Anthropic, you’ll be the day-to-day legal partner to the Chief Security Officer’s infrastructure-security and the Governance, Risk and Compliance teams. You will own the contractual and regulatory layer of physical and facility security, hardware and supply-chain security, network security, vendor personnel and insider-risk flow-downs, and security regulatory and assurance.

You’ll work in close partnership with Anthropic teammates in Frontier, Product, Litigation, Employment, and Commercial Legal, in addition to specialized outside counsel. You will serve as the primary legal owner ensuring security requirements are in the contract before signature and that external work product aligns with Anthropic’s security posture and commercial objectives.

Responsibilities:

• Draft and negotiate security design-basis and site-hardening specifications in build-to-suit, lease, and colo agreements (perimeter, access control, CCTV, intrusion detection); guard-force statements of work, post orders, and KPI regimes; visitor, contractor, and badging policy; and security clauses in shared-campus and multi-tenant arrangements

• Own provenance, anti-tamper, and chain-of-custody warranties in silicon, ODM, and OEM paper; trusted-supplier and country-of-origin restrictions; NDAA §889/§5949 and CHIPS-Act guardrail flow-downs; BIS/EAR advanced-computing and semiconductor export-control flow-downs and end-use/end-user certifications; firmware integrity, secure-boot, and golden-image escrow terms; secure logistics; counterfeit-part and grey-market controls; and secure decommissioning and certified media-destruction terms

• Draft security schedules in carrier and fiber agreements (encryption-in-transit, route integrity, lawful-intercept handling), and security obligations in peering agreements

• Set background-screening, training, and badge-revocation requirements for vendor and contractor personnel with site or hardware access, and flow Anthropic personnel-security standards into guard-force, security-integrator, and EPC vendor MSAs

• Support CFIUS and outbound-investment screening on infrastructure vendors and sites, provide NIST/ISO/SOC 2 physical-control evidence for customer and auditor assurance in partnership with security teams; and support security representations in customer contracts that reference physical infrastructure with Commercial Legal

• Work closely with specialized outside counsel, ensuring their work product aligns with Anthropic’s security and commercial objectives

• Build the function: develop and maintain the security-schedule library, design-basis templates, advise on vendor security questionnaire templates, and negotiation playbooks; train Procurement, Datacenter, and Network teams to apply them at scale

• Serve as direct counsel to the CSO’s infrastructure-security organization, coordinating with Product Legal and Litigation on incident response, threat intelligence, law-enforcement and intelligence-community engagement, insider-threat governance, and model-weight security policy under Anthropic’s Responsible Scaling Policy

• Escalate novel structures or terms that create downstream risk for Anthropic’s security posture or operational flexibility; ensure security requirements accommodate AI-specific threats including hardware tamper, supply-chain interdiction, and high-value-target facility risk

• Monitor and assess the evolving regulatory landscape affecting security and data protection, identifying higher-risk obligations for the business and partnering with security to operationalize them through policies, controls, and compliance programs

• Advise on risk assessments, risk acceptance decisions, and reporting to leadership and the board; and review remediation commitments arising from assessments, customer audits and regulator inquiries. 

Minimum qualifications:

• JD and active membership in at least one U.S. state bar

• Fluency in security design-basis specifications, guard-force and access-control contracting, and how security schedules interact with build-to-suit, colo, procurement, and carrier agreements

• Experience with NDAA §889/§5949, CHIPS-Act guardrails, CFIUS/outbound-investment screening, and trusted-supplier or country-of-origin programs

• Comfort with NIST, ISO 27001, and SOC 2 physical-control frameworks and the evidence and attestation process that supports customer and auditor assurance

• Ability to coordinate effectively with multiple internal legal teams, and specialized outside counsel while maintaining strategic direction 

• Strong judgment about when contractual security terms create downstream risk for Anthropic’s security posture, audit position, or operational flexibility

• Effective collaboration skills for working with the CSO’s organization, procurement, datacenter, and network teams

• Communication skills that translate security and supply-chain-integrity concepts into clear risk assessments for business stakeholders

• Genuine interest in infrastructure security and appreciation for why physical, hardware, and network security is mission-critical for frontier AI

Preferred qualifications:

• At least 10-12 years of relevant legal experience with meaningful exposure to physical and facility security contracting, hardware and supply-chain security, network security schedules, or security regulatory and assurance work for critical infrastructure

• In-house experience at cloud service providers, hyperscalers, defense and aerospace primes, telecom carriers, utilities, semiconductor companies, or datacenter operators supporting physical-security, supply-chain-security, or security-assurance programs; or U.S. government experience at DoD, DHS/CISA, BIS, or CFIUS staff

• Experience at large technology companies with first-party datacenter or hardware programs supporting security contracting from the buy side

• Law firm experience at practices with national-security, supply-chain, or critical-infrastructure specialization, particularly those who have worked on NDAA §889, CFIUS, or trusted-supplier matters

• Prior involvement in transactions requiring sophisticated understanding of secure logistics, chain-of-custody, firmware integrity, and certified media destruction

• Familiarity with CCTV/biometrics privacy regimes, executive-protection contracting, and the contractual layer of insider-risk programs

• Ability to obtain and maintain a U.S. security clearance 

Role-specific policy: For this role, we expect staff to be able to work from our San Francisco, Seattle, Washington D.C., or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.

Key responsibilities

• Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
• Partner across teams to ensure new compute capacity is ingested on time
• Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
• Collaborate with security owners to ensure clusters are provisioned secure-by-default
• Define and drive strategy on cluster scalability, homogeneity and fault tolerance
• Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
• Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
• Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
• Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

About the role

We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday  platform.

This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation.

In this role, you will

• ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
• Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
• Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
• Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
• Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
• Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
• Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.

You may be a good fit if you

• Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
• Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
• Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
• Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
• Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
• Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
• Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
• Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
• Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines

Strong candidates may also have

• Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
• Experience with Workday Accounting Center for complex journal automation and subledger accounting
• Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
• Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
• Knowledge of SOX compliance requirements and internal controls for financial systems
• Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
• Prior experience at high-growth technology companies scaling toward IPO readiness
• Familiarity with Workday HCM and understanding of HCM-Financials integration points
• Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations

About the role

We are seeking an Operations Manager to build and lead a new pillar of our Platform Operations function: Community Operations & Executive Escalations. This role will stand up the team, processes, and infrastructure that protect Anthropic's reputation when high-stakes user issues surface on social media or arrive through executive channels. You'll own end-to-end escalation management - detection, triage, incident coordination, and resolution- across two distinct but related workstreams: brand-impacting conversations on public social channels and high-sensitivity inbound from Anthropic employees on behalf of users. The ideal candidate combines calm-under-fire incident judgment with the operational rigor to build durable systems.

Responsibilities:

• Hire, lead, and develop a high-performing team of Community Operations specialists, covering detection through resolution
• Build the function from zero: stand up social listening infrastructure, define escalation criteria and severity tiers, author the incident management SOP, and establish coverage hours and on-call schedules
• Own social monitoring across public channels - triaging brand mentions and running escalations to resolution
• Own executive escalations end to end: receive inbound from Anthropic executives on behalf of users, lead your team in quarterbacking investigation and coordinate remediation across partner teams
• Serve as the central coordination point during live escalations and drive public/private response decisions to closure
• Build clear operating models with cross-functional teams so every stakeholder knows exactly where to send an escalation and what happens next
• Define and report on success metrics (time to triage, time to resolution, escalation volume by source) and run post-incident reviews that feed learnings back into criteria and process
• Develop response templates and playbooks for common scenarios so the team can move fast without sacrificing quality or judgment
• Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development and growth

You may be a good fit if you have:

• 8+ years of experience in community operations, escalations management, or a related field - ideally in a consumer or developer platform environment
• 5+ years of people management experience, preferably in a fast-growing technology company
• Direct experience running incident or escalation workflows: you've been the person managing the channel, paging the on-call, and writing the post-incident report
• Familiarity with social listening tooling and the dynamics of how issues spread across public social platforms
• Excellent judgment under pressure in reading a fast-moving situation, separating signal from noise, and making calls with incomplete information
• Proven track record of building operational programs from 0 to 1: writing the SOP, defining the criteria, standing up the tooling, and then iterating as reality breaks your assumptions
• Strong cross-functional influence and ability to align teams around a shared plan in real time, even when incentives differ
• Clear, concise written communication - you can brief an executive in three sentences and document an incident so the next person can learn from it
• Comfort with ambiguity and a bias toward action; this team doesn't exist yet and you'll be defining what good looks like
• Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher

About the role:

As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. 

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses 
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Experience troubleshooting SSO, SAML, and OAuth authentication flows
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have:

While not required, we're particularly excited about candidates with one or more of these specializations:

• Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
• Understanding of LLM capabilities, practical applications, and current limitations
• Familiarity with enterprise networking concepts and IT infrastructure
• Familiarity with Git workflows and version control concepts
• SQL proficiency for querying logs and investigating issues
• Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
• Background in team lead roles or managing contract/vendor support teams

We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.

About the role

As a Compute Accounting Manager at Anthropic, you will own the end-to-end accounting for our compute expenses, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for the complete lifecycle of compute accounting—from contract review and compliance through accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires deep expertise in accounting for compute usage, strong data and analytical capabilities, and the ability to build scalable processes in a high-growth environment. You'll partner directly with the relevant Engineering, Legal, and Procurement teams to ensure our CSP contracts are properly reflected in our financial records and that we're capturing costs accurately and in compliance with our agreements. As Anthropic continues to grow rapidly, you'll play a critical role in establishing the financial controls and processes that enable us to manage significant compute spend with precision and confidence.

Responsibilities:

• • Own the complete accounting lifecycle for compute expenses, ensuring accurate and timely recording of all costs
  • Review and interpret CSP contracts to ensure proper accounting treatment and compliance with contractual terms
  • Design and implement accrual and prepayment processes that accurately reflect the timing and nature of our compute costs
  • Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of our obligations
  • Lead accounts payable reconciliation efforts, working with vendors to resolve discrepancies and ensure statement accuracy
  • Partner with Procurement and Legal teams on contract reviews, providing accounting perspective on financial terms and implications
  • Build scalable processes and controls that can grow with the organization while maintaining accuracy and efficiency
  • Develop automated reporting and monitoring systems to provide visibility into CSP spending patterns and trends
  • Collaborate with FP&A to support forecasting and budgeting efforts related to compute costs
  • Serve as the subject matter expert on CSP accounting matters, providing guidance to cross-functional teams

You may be a good fit if you:

• • Have 10+ years of progressive accounting experience, with significant exposure to accounting for compute and review of associated contracts
  • Are a CPA (or equivalent) with a deep understanding of GAAP and strong technical accounting skills
  • Have experience working with compute cost structures and understand the unique challenges of accounting for consumption-based services
  • Possess strong analytical and problem-solving skills, with the ability to dive deep into data to identify issues and opportunities
  • Have proven experience building accounting processes and controls in high-growth environments
  • Are proficient with modern ERP systems (NetSuite, Workday, Oracle, or similar)
  • Can translate complex contractual terms into proper accounting treatment
  • Excel at cross-functional partnership and can effectively communicate accounting concepts to non-finance stakeholders
  • Thrive in fast-paced environments where priorities can shift quickly
  • Have a bias toward automation and process improvement

Strong candidates may also:

• • SQL and BigQuery proficiency, enabling direct data analysis and validation
  • Python skills for building automation and analytical tools
  • Experience in consumption-based or usage-based business models
  • Background combining Big 4 accounting experience with industry roles at technology companies
  • Track record of implementing automated reconciliation and reporting solutions
  • Experience supporting rapid growth and scaling initiatives
  • Familiarity with commitment-based purchasing agreements and their accounting implications

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

Responsibilities:

• Designing and implementing from scratch new information architecture strategies
• Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures
• Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data
• Designing and evaluating advanced agentic search capabilities.

You may be a good fit if you:

• Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using
• Have good machine learning research experience 
• Have experience developing software that utilizes Large Language Models such as Claude
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to partner with world-class ML researchers to develop new LLM capabilities
• Care about the societal impacts of your work
• Have clear written and verbal communication

Strong candidates will also have experience with:

• Collaborating with product teams to quickly prototype and deliver innovative solutions
• Building complex agentic systems that utilize LLMs
• Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
• Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
• Build and maintain custom controllers, operators, and CRDs
• Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
• A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
• Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

• Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
• Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
• Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
• Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
• 8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

About the Role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. 

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

Deadline to apply: None. Applications will be reviewed on a rolling basis.

About the role

Anthropic’s mission requires the ability to defend our compute resources against all types of adversaries. Meeting that bar requires more than trustworthy hardware, it requires a software stack to consume the trust primitives the platform produces: device identities, attestation evidence, integrity manifests, DICE chains, topology claims, debug-state assertions, encryption posture, etc.

This role makes sure that all the security-relevant system state that needs to be attested to is properly accounted for in a robust and comprehensive manner, and used appropriately for authorization decisions in production.

Key responsibilities

You will be the technical owner of Anthropic's platform trust integration surface, the host-side stack that ingests trust primitives produced by hardware and converts them into production gates for workloads. Concretely:

• Attestation verification pipeline. Consume trusted reference integrity manifests for every component in the TCB. Validate measurements end-to-end, surface drift, and gate workload placement on attestation outcomes.
• DICE chain consumption. Integrate with iRoT-rooted DICE chains where exposed, and define what Anthropic requires of partners where they aren't yet.
• Dynamic root-of-trust and late-launch integration. Working with other security engineers to ensure Anthropic's host software stack securely leverages DRTM primitives, and work with silicon vendors and firmware maintainers to address gaps in relevant technologies.
• Interconnect topology validation. Build the tooling to validate interconnect topology claims for multi-node workloads and catch deviations before they reach production.
• CPU and interconnect encryption posture. Validate that CPU and interconnect encryption are enabled and attestable on a given system; own Anthropic's position on performance tradeoffs and multi-node attestation integration work.
• Debug-disable verification. Define automated mechanisms to prove hardware debug mechanisms are disabled in production.
• Ensure devices/peripherals are appropriately covered. Accelerators are an essential component of AI workloads. We must ensure that platform trust extends to all relevant components, and the channels between them, too.

This is an IC engineering role not a PM role. You will write code, own services, and be accountable for the correctness of Anthropic's platform trust pipeline in production. You'll operate at the interface between Platform Security Engineering and the rest of Anthropic.

Minimum qualifications

• Deep systems software engineering experience with kernel, firmware, or low-level platform code.
• Understanding of hardware as encountered in modern server platforms, and implications of trust relationships within.
• Working knowledge of modern attestation primitives: RoTs, TPMs, DICE, SPDM, measured boot, DRTM across major CPU architectures, reference integrity manifest best practices, remote attestation protocols and design patterns.
• Ability to read vendor documentation critically and identify gaps between what the spec claims and what can actually be relied on in production.
• Strong ownership disposition: comfortable being the one accountable for a capability landing, including when it requires pushing partners.
• Supply-chain attestation work (SPDM, TCG provenance, pre-delivery identity bootstrapping beyond TOFU).
• Familiarity with relevant standards from TCG (TPM, DICE, etc.), IETF (RATS WG, SEAT WG, etc.), DMTF (SPDM, etc.), etc.
• History of shipping security-critical code in production at scale.

About the role

A growing ecosystem of partners is building products on top of Claude. We're hiring an Engineering Manager to expand our Marketplace Platform. You'll shape the platform capabilities of a product surface that spans customer-facing discovery, partner-facing self-serve tooling, the business logic that orchestrates deals between them, and the authentication layer that lets users move seamlessly between Claude and partner products. This is a 0→1 role with a broad mandate and tight integration seams across several other platform teams.

About the team

The team owns a new product layer within the Platform organization. Its scope spans the customer-facing surfaces where enterprises engage with the broader Claude ecosystem, the partner-facing surfaces that support companies building on Anthropic's platform, and the workflows and orchestration that sit between them. The team builds on top of identity, tenancy, authorization, and billing primitives owned by other platform teams rather than rebuilding them — a meaningful part of the role is making those seams clean and durable as the product grows.

Responsibilities

• Form the team - hire the founding engineers, set the technical direction, and establish how the team operates
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response
• Partner with product and design to shape the roadmap - not just execute against it
• Work directly with enterprise customers and ecosystem partners alongside the go-to-market organization, joining key conversations and turning what you learn into engineering priorities
• Manage the integration seams with billing, auth & identity, and other platform teams — coordination across these boundaries is one of the largest sources of timeline risk
• Drive the platform-readiness work this product layer requires, partnering with security, legal, and operations as self-serve capabilities displace manual ones
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have taken a product or platform from 0 to 1 - formed a team, made the early architectural calls, and shipped the first version with limited precedent to lean on
• Are a skilled engineering manager who treats management as a craft with clear feedback, strong 1:1s, consistent investment in your team's growth
• Have led teams whose work sits at the seams between other teams, and understand that coordination quality is often the bottleneck
• Are comfortable working with customers and partners directly, and joining conversations alongside sales, customer success, and business development

Strong candidates may also have

• Experience building multi-sided platforms or partner ecosystems at enterprise scale
• Background designing the business logic and orchestration around financial systems without owning the financial primitives themselves
• Experience shipping authentication and integration products from a developer-experience perspective
• Background building self-serve tooling that displaces manual operations as volume grows
• Experience with products where customer-facing and partner-facing surfaces evolve in parallel and need to stay coherent

About the role

As Claude reaches more people — individuals, businesses, developers building on our APIs, and platforms building on top of those — knowing who's on the other side of a request becomes foundational to running our products responsibly. Passport is the team building that capability: a centralized identity, verification, and trust-grant platform.

We're hiring an Engineering Manager to build our Passport team. You'll expand the early team, define the architecture, and ship the first version of a platform that touches Claude.ai, our first-party APIs, and the third-party platforms built on top of them. This is a role with an unusually broad surface area: identity verification flows, a centralized trust graph, integration with our Safeguards organization, and a user-facing portal — all on the critical path for how Anthropic scales access to Claude safely.

About the team

Passport will own the customer verification and trust stack across Anthropic's products. The team's scope includes the entry flows customers go through to establish identity, a centralized model for coordinating and managing access, integration with review processes and the user-facing surfaces customers use to manage their trust across connected products. The team sits close to the product surfaces it serves and works closely with our safeguards, platform, and product organizations.

Responsibilities

• Establish the Passport team as a high performing contributing team to our wider model safety efforts — hire the early team, set the technical direction, and establish how the team operates
• Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response on a system that's on the critical path for every Claude product
• Partner with safeguards, product, and design to shape the roadmap — and make the integration between automated decisions and human review work end-to-end
• Work directly with customers and the go-to-market team on verification and trust requirements, joining key conversations and turning what you learn into engineering priorities
• Drive the compliance and platform-readiness work customers and regulators require, partnering with security, legal, and the broader platform organization
• Coordinate across the product teams that depend on Passport, making migrations and integrations land cleanly
• Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team

You may be a good fit if you

• Have taken a product or platform from 0→1, making early architectural calls, and shipping the first versions with limited precedent to lean on
• Are a skilled engineering manager who treats management as a craft — clear feedback, strong 1:1s, consistent investment in your team's growth
• Have led teams building systems that other teams depend on, and understand the discipline that comes with being on someone else's critical path
• Are comfortable working with customers and joining conversations alongside sales, customer success, and safeguards partners

Strong candidates may also have

• Experience building customer verification or identity systems, including working with third-party verification providers
• Background designing centralized policy or trust systems where decisions propagate across many downstream surfaces
• Experience building trust & safety tooling, including the platform-side integration of human review into automated decisioning
• Experience with multi-tenant platforms consumed by first-party apps, direct API customers, and third parties building on top
• Background owning compliance and regulatory work within an engineering org
• Experience with user-facing portals for account verification, trust, or compliance flows

About the role

We are seeking a Strategic Finance partner to join our Finance team at Anthropic, focused on operating expenses (OpEx) with a primary partnership across our Engineering organization. In this role, you will be the financial partner to engineering leaders — helping them make smart, well-informed decisions about headcount, vendor spend, tooling, and the operational investments that fuel our research and product work. As we continue to grow rapidly, you will play a crucial role in shaping how we plan, allocate, and steward OpEx across the company.

You'll build driver-based models that tie vendor and tooling spend to the underlying technical inputs (usage, seats, throughput, capacity), and you'll be expected to engage substantively with engineering leaders on the technical realities behind those drivers — and to push back with conviction when the numbers don't add up. The strongest partners on this team aren't order-takers; they ask sharp questions, challenge assumptions, and help engineering leaders land on better decisions than they'd reach alone. If you're excited about getting close to the technology, holding your ground in a debate with a thoughtful engineering leader, and helping a fast-growing AI company invest its resources well, we'd love to hear from you.

Key responsibilities

• Serve as the primary finance partner to Engineering leaders, providing guidance and recommendations on vendor and tooling spend, and resource allocation decisions.

• Build and maintain driver-based financial models for engineering OpEx — tying vendor and tooling spend to the underlying technical drivers (usage, seats, throughput, capacity, utilization) rather than top-down growth assumptions

• Develop a deep understanding of the engineering tooling and vendor stack so you can engage substantively with technical leaders on what's driving spend and where it's headed

• Lead budgeting, forecasting, and long-range planning for the engineering organization, partnering with leaders to translate roadmaps into resource plans

• Push back constructively on assumptions, proposals, and forecasts — bringing data, sharp questions, and clear reasoning to help engineering leaders land on better decisions

• Prepare clear, concise financial reports, analyses, and variance commentary that highlight key trends, risks, and opportunities for engineering and finance stakeholders

• Establish reporting dashboards and scorecards that track engineering headcount, vendor spend efficiency, and other key operational metrics

• Drive analyses on build-vs-buy decisions, vendor consolidation, contract negotiations, and organizational design tradeoffs where finance can sharpen engineering decision-making

• Partner cross-functionally with Strategic Finance, FP&A, Accounting, Recruiting, and People teams to ensure engineering plans are aligned with broader financial strategy

• Participate in resource allocation exercises to ensure clarity around headcount prioritization

Minimum qualifications

• Have experience in FP&A, OpEx or G&A finance preferably at high-growth technology companies

• Have demonstrated experience building driver-based financial models — tying spend to operational and technical inputs rather than top-down growth rates

• Are comfortable with technical concepts and have a genuine interest in understanding the systems, tools, and infrastructure behind the line items you're modeling

• Have a track record of pushing back constructively on senior stakeholders — bringing data and clear reasoning to disagreements rather than deferring to the loudest voice in the room

• Demonstrate excellent communication and storytelling abilities, with experience presenting to C-suite executives and board members

• Have a bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines

• Thrive in fast-paced, dynamic environments and can navigate ambiguity with confidence

• Possess strong collaboration skills and can build effective partnerships across functions and levels

• Are passionate about Anthropic's mission to build safe, beneficial AI systems

Preferred qualifications

• Have experience at a high-growth technology company or startup

• Possess expertise with modern financial planning tools (e.g., Anaplan, Pigment)

• Have direct experience partnering with Engineering, R&D, or other technical organizations as a finance business partner

• Have hands-on experience modeling vendor spend with technical drivers — cloud/SaaS usage, seat-based tooling, observability and data infrastructure costs, etc.

• Possess a technical background or coursework (CS, engineering, quantitative field) or comparable self-taught fluency

• Have experience leading headcount planning and workforce modeling at scale

About the role:

We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. 

You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. 

What you'll do: 

Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic. You'll architect and optimize the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines. You’ll partner closely with product teams to understand their development workflow and eliminate friction points. Your work will have an extraordinary multiplier effect, enhancing productivity across our entire product organization and accelerating our mission.

Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.

Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.

Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.

Connectivity: Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. You'll work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API. Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.

API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.

Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows. We work closely with research on training methods and with agent platform teams on data paths. Relevant experience: ML training infra, production ML pipelines, backend engineering. Finetuning experience is a plus.

You might be a good fit if you:

• Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent 
• distributed systems, cloud-native products, developer tools, or external developer facing products
• Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end 
• Are proficient in Python, Go, Rust, or similar systems languages
• Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking 
• Take full ownership of your work—from design through deployment and operations
• Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings 
• Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
• Care about building systems that other engineers love to use

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 

About the Role

Our mandate is to make inference deployment boring and unattended.

Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We're building the systems that make inference deployment continuous and unattended.

As a Software Engineer on the Launch Engineering team, you'll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

If you've built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.

Responsibilities

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions
• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes
• Extend deployment observability — dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"
• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism
• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement
• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines
• Experience with deployment systems where resource constraints shape the design — whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows
• A track record of building automation that measurably improves deployment velocity and reliability
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Comfort working across the stack — from backend services and databases to CLI tools and web UIs
• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)
• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback
• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)
• Experience with Python and/or Rust in production systems

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP, Azure)
• Python or Rust

Representative projects:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

We are looking for a Technical Revenue Accounting professional to join our Accounting Team. In this role, you will execute complex ASC 606 technical evaluations, draft comprehensive revenue accounting memos, and provide strategic accounting guidance on new product revenue recognition treatments and go-to-market initiatives. You will work cross-functionally across the organization and solve complex problems on a regular basis! If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI.

Responsibilities:

• Author detailed ASC 606 technical accounting memos analyzing complex revenue recognition scenarios and providing accounting conclusions
• Evaluate and establish revenue recognition treatment for new product offerings, including performance obligation identification, SSP evaluation, and contract modification assessments
• Advise business stakeholders on revenue accounting implications of new go-to-market strategies, pricing models, and unique commercial arrangements
• Review revenue contracts and prepare technical accounting documentation, including ASC 606 checklists and position papers to ensure revenue recognition compliance
• Lead technical research initiatives on emerging revenue recognition issues and present authoritative findings to senior management
• Develop and maintain comprehensive revenue recognition policies, procedures, and technical guidance documentation
• Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders
• Prepare for revenue-related month end close activities and flux analysis
• Build and maintain relationships with cross-functional stakeholders to drive effective collaboration
• Participate in and contribute to process improvement and system implementation projects

You may be a good fit if you:

• Have 7+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios
• Have demonstrated experience drafting technical accounting memos, position papers, and revenue recognition assessments
• Have strong knowledge of ASC 606 with experience in performance obligation analysis, contract modification accounting, and variable consideration treatment
• Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges
• Have hands-on experience with revenue recognition tools (e.g., NetSuite ARM, Oracle Fusion, Workday Financial Management, Zuora RevPro)
• Have proven project management skills with ability to drive results
• Have a demonstrated ability to thrive in fast-paced, ambiguous environments

Strong candidates may have:

• A Bachelor's degree in Accounting or Finance; CPA preferred with demonstrated technical accounting expertise
• Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience
• Experience working with consumption-based and subscription-based revenue models
• Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities

About the role

Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.

We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.

What you’ll do

• Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.

• Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.

• Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.

• Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.

• Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.

• Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.

• Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.

• Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.

You may be a good fit if you

• Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead

• Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.

• Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.

• Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.

Strong candidates may also have

• Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.

• Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.

• Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.

• Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.

• Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.

About the Role

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. 

Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.

Responsibilities:

• Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity
• Design and implement monitoring and observability systems across the token path
• Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider
• Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements
• Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments.

You may be a good fit if you:

• Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs
• Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet
• Think holistically about how systems compose and where the seams are
• Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions
• Care about users and feel ownership over outcomes, even for systems you don't own
• Have excellent communication and collaboration skills -- you'll be partnering across the entire company
• Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between.

Strong candidates may also:

• Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems
• Have experience operating large-scale model serving or training infrastructure (>1000 GPUs)
• Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium)
• Understand ML-specific networking optimizations like RDMA and InfiniBand
• Have expertise in AI-specific observability tools and frameworks
• Have experience with chaos engineering and systematic resilience testing
• Have contributed to open-source infrastructure or ML tooling.

About the role

Anthropic is seeking a seasoned Revenue Accounting professional to join our growing Accounting Team. In this position, you will drive revenue accounting operations, accounts receivable accounting, and financial reporting processes. You will play a critical role in ensuring accurate revenue recognition, managing complex AR processes including CECL compliance, and enhancing our month-end close operations. The ideal candidate brings deep technical accounting expertise, leadership capabilities, and thrives in our fast-paced, innovative environment.

Responsibilities

• Manage daily revenue accounting operations, including high-volume transaction processing, and ensure accurate revenue recognition in compliance with ASC 606
• Own the month-end revenue close process by reviewing and approving revenue-related account reconciliations and journal entries for revenue, deferred revenue, and unbilled receivables
• Manage comprehensive accounts receivable accounting functions, including AR reconciliations, aging analysis, and accurate recording of customer receivables
• Lead quarterly CECL aging analysis to ensure consistent application of ASC 326 and work with AR & Collections Lead to develop key AR metrics for management reporting
• Perform regular month-end close flux analysis, identifying and explaining significant variances in revenue and accounts receivable balances to ensure financial integrity and provide insights for management decision-making
• Collaborate cross-functionally with Finance Operations, Finance Strategy, Billing Support, and business partners on strategic processes and programs
• Support revenue accounting system initiatives, including design, implementation, testing, and optimization
• Serve as subject matter expert for revenue and AR accounting questions across the organization
• Lead audit coordination and serve as primary contact for external auditors during year-end audit
• Maintain comprehensive documentation for all revenue and AR processes

You may be a good fit if you have

• Bachelor's degree in accounting or finance (or equivalent experience) 
• 10+ years of accounting experience, with at least 3 years in public accounting
• Strong knowledge of ASC 606 Revenue from Contracts with Customers & ASC 326 Credit Impairment
• Experience with accounts receivable accounting and financial reporting
• Experience in collaborating across departments to influence change
• Attention to detail, excellent communication skills, and strong sense of teamwork
• Ability to work independently and prioritize in a fast-paced environment
• Strong sense of ownership and independence, with proven ability to identify issues, propose solutions, and drive initiatives to completion with minimal supervision
• Proven experience in managing and mentoring accounting professionals, with the potential to lead team members (both contractors and FTEs) as our team continues to grow

Strong candidates may also have

• Experience in a growing SaaS technology business, preferably in startup or high-growth environments
• Experience with third-party platform revenue models and related accounting complexities
• Passion for data integrity, comfort with large datasets, and enjoyment of solving complex problems
• Proficiency with mainstream ERP systems and revenue engines such as NetSuite ARM, Oracle, SAP, Workday Financials and comparable systems. NetSuite ARM experience strongly preferred
• Experience with Metronome, Stripe, Anrok, or similar software is a plus
• Database & SQL experience is a plus
• Exceptional business acumen with ability to translate complex financial concepts into actionable insights for non-finance stakeholders

About the role:

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the UX research team

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools—often with AI doing the heavy lifting—to do research at the speed this environment demands.

About this role

This is a senior individual-contributor role. You'll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven't been articulated yet, let alone answered.

You won't work from a fixed research roadmap. You'll prioritize constantly—making clear, well-informed bets about what to learn next, executing on them fast, and pivoting the moment the picture changes. Our product teams are deeply technical and move on instinct; your job is to make that instinct better-calibrated without slowing it down.

Roles here are fluid. On any given week you might be the researcher, the analyst, the one framing the next product bet, or the one building a prototype because that's the fastest way to find out.

Where this role lands depends on team needs and your strengths—we'll figure that out together.

Responsibilities

• Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why—then go learn it. Don't wait to be asked
• Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up
• Keep product teams close to users in a rigorous way—building the channels, cadence, and evidence base that make user reality hard to ignore
• Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what's missing
• Prototype when prototyping is the fastest path to an answer—a research tool, a survey pipeline, a scrappy version of a feature to put in front of users
• Deeply leverage AI in how you work—using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between
• Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research
• Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need
• Turn what you learn into recommendations confident enough to redirect a roadmap—including recommending we kill something that isn't working
• Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you're not in the room
• Develop new research methods when the existing playbook doesn't fit—particularly methods that use AI to do things that weren't possible before

Qualifications

• Industry UX research experience, including ownership of research strategy for a product or product area
• Track record of research that shifted product direction at the strategy level, not just the feature level
• Deep mixed-methods expertise—qualitative and quantitative
• Enough data fluency to use Claude to work directly with our data warehouse—pulling your own samples, writing your own queries, running your own analyses
• Demonstrated technical range: you've built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead
• Advanced, hands-on use of AI in your own research workflow—you're already taking full advantage of its capabilities to enhance how you work
• Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment
• Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer

About that Role

As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers, and (nascent) industry norms — which we also seek to influence. The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team demonstrates adherence to security expectations through credential attainment, the establishment of assurance and oversight mechanisms, and direct engagement with auditors, customers, and partners.

This opportunity is unique. Anthropic is expanding HIPAA coverage across its product portfolio — including Claude Code, the Claude Developer Platform, and Claude Cowork — and we need to build the compliance infrastructure to match that expansion. We are looking for someone to own HIPAA compliance operations end-to-end, not just advise on it.

Responsibilities:

• Operate Anthropic’s HIPAA compliance review program, executing on HIPAA obligations across the product portfolio.
• Run a dedicated HIPAA review track in parallel with the Product Security Review (PSR) process, applying compliance checklist to every in-scope change and recording a complete, auditable disposition before release.
• Build and maintain change monitoring mechanisms to catch HIPAA-relevant changes — including default setting changes and incremental updates.
• Partner with product and engineering teams upstream to ensure HIPAA considerations are built into first releases rather than addressed as post-launch remediations.
• Assess and document PHI data flows, infrastructure boundaries, and control coverage across Anthropic’s cloud-native product environments.
• Write, update, and enact HIPAA policies, checklists, deployment guides, and audit evidence packages.
• Manage Business Associate Agreement (BAA) obligations and coordinate with legal and external counsel on PHI determination questions and emerging regulatory requirements.
• Contribute to Anthropic’s broader compliance program, including adjacent frameworks (SOC 2, ISO 27001, NIST 800-53) where they intersect with HIPAA obligations.

You may be a good fit if you:

• Have 3+ years of progressive experience in compliance roles, including direct ownership of a HIPAA compliance program at a technology company
• Have evaluated PHI data flows and infrastructure boundaries in cloud-native environments (AWS, GCP, or Azure) and can assess HIPAA exposure without always needing to escalate to legal
• Have designed and operated a compliance review mechanism integrated into a product development or release process
• Can translate HIPAA technical compliance requirements into actionable workstreams for engineering and product teams
• Deliver clear, precise compliance documentation — policies, checklists, audit evidence, deployment guides — for both technical and non-technical audiences
• Thrive in fast-paced, ambiguous environments where you’re expected to build processes from scratch and keep them working under rapid product change
• Are energized by being the organizational expert who educates and influences rather than only advises

Strong candidates may also:

• Have worked in AI/ML or developer-platform companies and understand the unique challenges of PHI exposure in model inference and API environments
• Have HITRUST CSF experience or experience mapping HIPAA requirements to HITRUST controls
• Bring experience from high-growth technology companies where compliance programs had to scale alongside rapid product expansion
• Have implemented or significantly contributed to compliance automation or GRC tooling integrations
• Possess relevant certifications (CHPC, HCISPP, CISA, CISM, CISSP, or equivalent)

Candidates need not have:

• Done everything on this list before — we value learning agility and willingness to tackle novel compliance challenges in the AI space

Deadline to Apply: None, applications will be received on a rolling basis.

About the role

We are seeking an experienced Global Senior Equity Program Manager to manage Anthropic's equity compensation strategy and operations across all global markets. In this pivotal role, you will design, implement, and manage comprehensive equity programs that attract, retain, and motivate top talent while supporting our mission to develop safe and beneficial AI systems. You'll work closely with cross-functional teams including People, Legal, Finance, and Tax to ensure our equity programs are competitive, compliant, and aligned with our values as a public benefit corporation.

As Anthropic continues to scale globally, you will play a critical role in building equity frameworks that support our international expansion while maintaining consistency with our compensation philosophy. This role offers the opportunity to shape equity compensation practices at one of the most important AI safety companies during a period of significant growth.

Responsibilities:

• Oversee daily equity plan operations including grant processing, option exercises, cancellation and cap table management.
• Build and optimize processes for equity transactions while ensuring accuracy and compliance
• Manage monthly equity reconciliations and reporting
• Lead demographic and payroll system integrations to streamline equity operations
• Develop and implement automated processes for tax rate calculations and payroll integration
• Create scalable workflows that can support our growing headcount and global expansion
• Provide high-touch service to ensure employees understand their equity compensation
• Execute simple equity tax calculations in coordination with payroll processing
• Ensure timely and accurate tax withholding and reporting for equity transactions
• Support development of equity tax policies and procedures
• Design and document standard operating procedures for all equity operations
• Create scalable processes that will support transition to public company requirements
• Provide guidance and support to managers and employees on equity-related questions and programs

You may be a good fit if you have:

• A Certified Equity Professional (CEP) designation
• 8+ years of experience in equity administration, stock plan management, or related field
• Strong knowledge of equity compensation principles (stock options, RSUs)
• Experience with Shareworks equity management platforms
• Proficiency in payroll systems integration and tax withholding processes
• Detail-oriented with strong analytical and problem-solving skills
• Excellent communication skills with ability to explain complex equity concepts to employees

Strong candidates may have:

• Experience at high-growth technology companies during scaling phases
• Knowledge of US and international equity compensation and tax requirements
• Excellent project management skills with a track record of leading complex, cross-functional initiatives
• Advanced Excel/Google Sheets skills and experience with modeling

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

As a Product Manager for API Growth, you’ll drive growth for the Claude Platform (platform.claude.com) – the surface where developers and businesses build directly on Claude. Your efforts will span the entire funnel, driving growth of key API metrics across acquisition, activation, and monetization. You'll work closely with a cross-functional team of engineers, designers, marketers, and data scientists to develop and execute strategies that accelerate our growth while maintaining our commitment to safety and beneficial AI.

Responsibilities:

• Develop and execute a product strategy focused on driving Claude Platform growth metrics such as acquisition, activation, monetization
• Lead the ideation, development, and launch of growth features across our API product – onboarding, console, docs, billing, and self-serve upgrade paths
• Analyze product metrics and user feedback to identify opportunities and optimize performance
• Collaborate with engineering, design, developer relations, and marketing teams to deliver high-impact growth initiatives
• Conduct user research to understand customer needs and pain points
• Define and track key performance indicators (KPIs) for API growth
• Balance rapid iteration with our commitment to AI safety and ethics

Qualifications:

• 6+ years of product management experience, majority in growth focused roles
• Experience driving growth for API, developer platform, or technical / usage-based products
• Strong analytical skills, and experience with A/B testing and funnel optimization
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, ambiguous environment
• Passion for AI technology and its potential impact on society
• Technical background or ability to work effectively with engineering teams
• Founder experience is a plus

About the role

As a Product Manager for Monetization, you’ll drive revenue growth across our product suite spanning Claude.ai, Claude Code, Claude Cowork, and Claude Platform. You’ll work closely with other growth teams that are focused on driving growth for specific audiences. You’ll also partner with a cross-functional team of engineers, designers, marketers, and data scientists to develop and execute strategies that accelerate our growth while maintaining our commitment to safety and beneficial AI.

Responsibilities:

• Develop and execute a product strategy focused on increasing revenue growth across our suite of products
• Drive monetization efforts spanning the likes of pricing & packaging, free-to-paid conversion, and consumption-based billing
• Analyze product metrics and user feedback to identify monetization opportunities and optimize performance
• Collaborate with engineering, design, and marketing teams to deliver high-impact growth initiatives
• Conduct user research to understand customer needs and pain points
• Define and track key performance indicators (KPIs) for growth initiatives
• Balance rapid iteration with our commitment to AI safety and ethics

Qualifications:

• 6+ years of product management experience, majority in growth focused roles
• Experience working on growth for mass-scale subscription businesses
• Direct experience owning monetization – pricing, packaging, paid conversion, or upgrade funnels
• Strong analytical skills, and experience with A/B testing and funnel optimization
• Excellent communication and stakeholder management skills
• Ability to thrive in a fast-paced, ambiguous environment
• Passion for AI technology and its potential impact on society
• Technical background or ability to work effectively with engineering teams
• Founder experience is a plus

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation.  If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Legal Support Assistant position in our Seattle Office.

This position is on-site 5-days per week in our Seattle office. 

The Position

We are seeking a Legal Support Assistant to join our team and serve as a key support resource within a fast-paced law firm environment. This is an excellent entry-level opportunity for someone eager to gain hands-on experience and grow within the legal profession.

Key Responsibilities:

In this role, you’ll support attorneys and Legal Administrative Assistants while helping maintain a professional and welcoming office environment. Responsibilities include:

• Maintain a clean, organized, and professional reception area
• Answer, screen, route, and respond to incoming phone calls and messages
• Greet, screen, and direct visitors in a professional and welcoming manner
• Assist with opening and closing client matters
• Receive, sort, and distribute electronic notices, U.S. mail, faxes, and other documents
• Help organize and maintain physical and electronic files within the firm’s document management systems
• Assist with client invoicing, including submission and verification of billing documentation
• Support the submission of vendor bills and check requests
• Research and respond to client billing inquiries
• Manage and update information using Excel spreadsheets
• Provide general administrative support to the office and team as needed

Qualifications: 

• High school diploma or equivalent required
• At least 1 year of administrative or clerical experience in an office setting
• Prior law firm experience is helpful but not required
• Strong written and verbal communication skills
• Professional phone etiquette and customer service mindset
• High attention to detail with excellent spelling, grammar, and proofreading skills
• Ability to manage multiple tasks, prioritize effectively, and meet deadlines
• Comfort handling confidential information with discretion
• Proficiency with Microsoft Office (Word, Excel, Outlook); experience with document management or legal software is a plus
• Willingness to work in person in an office environment

About the role:

We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential.

Key Responsibilities:

• Architect and implement cutting-edge Android applications
• Develop novel solutions leveraging AI technologies
• Optimize performance at all levels of the mobile stack
• Champion best practices in mobile development
• Obsessive attention to detail and app experience
• Contribute to backend systems as neede

Minimum Qualifications:

• Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem
• Proficiency with the latest mobile platform capabilities and intricacies
• Practical experience with full-stack development and comfort working with backend technologies
• A track record of shipping impactful, high-adoption mobile applications
• Strong communication and mentorship skills
• Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates

Preferred Qualifications:

• 0-to-1 experience building successful products in early-stage environments
• Experience building applications that utilize modern ML/AI technology
• 3D graphics, visual effects, and audio and video streaming on mobile
• A vision for the future of human-machine interaction and a drive to make that vision a reality

About the role

As Commercial Counsel, Networking & Datacenter Operations for Compute and Infrastructure at Anthropic, you’ll lead legal execution for the connective tissue and the steady-state running of Anthropic’s Infrastructure. This role spans dark fiber and IRU agreements, IP transit and peering, subsea-cable capacity, network-equipment procurement, and the Operations & Maintenance (O&M), facilities-management, commissioning, decommissioning, and resilience contracting that keeps production sites online once the keys are handed over.

You’ll work in close partnership with Anthropic teammates in Datacenter Legal, Strategic Technology & Procurement, Infrastructure Security, Treasury/Risk and Public Policy, in addition to specialized outside counsel. You will serve as the primary legal owner ensuring external work product aligns with Anthropic’s commercial objectives and integrates with our overall compute and availability strategy.

Responsibilities:

• Negotiate dark fiber and IRU agreements (long-haul and metro), wavelength and lit-capacity services, IP transit and peering (settlement-free and paid), internet-exchange participation, subsea-cable capacity and landing-party agreements, carrier-hotel and meet-me-room agreements, and cross-connect MSAs

• Support the telecom regulatory interface, including FCC Section 214 authorizations, submarine-cable landing licenses and Team Telecom (EO 13913 Committee) review, the FCC’s 2025 subsea-cable security and IRU rules, private-carrier status determinations, and rights-of-way, franchise, and pole-attachment where Anthropic builds first-party fiber — working in close coordination with Infrastructure Security Legal on the national-security overlay for subsea capacity and landing-party participation

• Structure and negotiate O&M and integrated-facilities-management contracts, critical-spares and break-fix agreements, smart-hands SLAs with colo landlords, and disaster recovery and resilience contracting

• Own asset disposition, decommissioning, and media-sanitization terms, and data-hall fit-out and tenant-improvement work, in coordination with Infrastructure Security and Datacenter Legal

• Support property, builder’s-risk, business-interruption, and equipment-breakdown insurance placement with Treasury/Risk, and coordinate with Infrastructure Security Legal on guard-force, vendor-personnel, and physical-security flow-downs in O&M and facilities-management contracts

• Work closely with specialized outside counsel, ensuring their work product aligns with Anthropic’s commercial objectives

• Build and own the network and O&M contract template library, SLA-credit playbooks, and intake and approval workflows so Network and Site-Ops teams can self-serve standard transactions; train Procurement and operations partners to apply them at scale

• Manage SLA-credit claims, outage and root-cause-related disputes, warranty and break-fix claims, and pre-litigation vendor escalations, in coordination with Litigation

• Collaborate with the Compute team’s production-site and network-operations leads who handle operational execution, change management, and governance, providing legal and risk management expertise

• Understand how networking and operations legal structures interact with the compute capacity they support — availability SLAs, route diversity, and maintenance windows

• Escalate novel structures or terms that create downstream risk for Anthropic’s availability or operational flexibility; ensure vendor arrangements accommodate AI-specific requirements including high-density power, liquid cooling infrastructure, and rapid scaling capacity

Minimum qualifications:

• JD and active membership in at least one U.S. state bar

• Fluency in availability and SLA constructs, route diversity and how network and O&M terms interact with colo leases, build-to-suit agreements, and financing arrangements

• Experience with high-volume, template-driven, recurring vendor contracting and the discipline to keep it fast without losing control of risk

• Comfort with telecom regulatory concepts (FCC Section 214, cable-landing licenses, Team Telecom review, rights-of-way) and the operational hand-off from construction to commissioning to steady-state

• Ability to coordinate effectively with specialized outside counsel while maintaining strategic direction

• Strong judgment about when vendor terms create downstream risk for availability, security, or operational flexibility

• Effective collaboration skills for working with business teams who run production sites and the network and excellent communication skills that translate network and operations concepts into clear risk assessments for business stakeholders

• Genuine interest in digital infrastructure operations and appreciation for why network and site availability is mission-critical for frontier AI

Preferred qualifications:

• At least 10–12 years of relevant legal experience with meaningful exposure to telecom and network transactions (dark fiber, IRUs, transit, peering, subsea), datacenter operations, facilities management, or critical-infrastructure O&M contracting

• In-house experience at cloud service providers, neo-clouds, carriers, subsea-cable consortia, or datacenter operators supporting network, colo, and O&M transactions

• Experience at large technology companies with first-party backbone or production-site programs supporting network and operations transactions from the buy side

• Law firm experience at practices with telecom, technology transactions, or infrastructure specialization, particularly those who have worked on fiber, peering, subsea, or datacenter operations matters

• Prior involvement in transactions requiring sophisticated understanding of commissioning requirements, operational handoff, change management, and decommissioning

• Familiarity with insurance and risk-transfer structures used in large-scale operating infrastructure, and with international vendor contracting for non-US production sites

Role-specific policy: For this role, we expect staff to be able to work from our San Francisco, Seattle, Washington D.C., or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

About the role

Anthropic is looking for a Technical Enablement Lead to curate & deliver the technical curriculum that lets our go-to-market teams, partner, and customers demonstrate and support Claude Code with confidence. You'll own Claude Code enablement—building demos, labs, and content that help sellers showcase agentic coding. This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.

What you'll do:

• Deliver Claude Code training for onboarding and ongoing enablement programs

• Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides

• Build compelling demo scenarios across industries and developer personas

• Develop competitive positioning content—battlecards, differentiation guides, objection handling

• Run demo coaching sessions and weekly office hours

• Translate new Claude Code features into field-ready content rapidly

• Gather field feedback and track content effectiveness to continuously improve programs

What we're looking for

• 7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)

• Strong programming skills—you've shipped real code recently, not just slideware

• You use AI coding tools (ideally Claude Code) extensively in your own work—not as a novelty, but as core infrastructure for how you build and ship

• Track record delivering live technical training or talks

• Experience partnering directly with sales, solutions engineering, or GTM teams

Nice to have:

• Experience coaching others on demos or presentations

• Familiarity with enterprise developer workflows

• Public speaking, conference presentations, or community-facing developer advocacy

Location & Travel

Location is flexible, with preference for proximity to a major hub (SF, NYC, DC, or Seattle). Regular travel is expected for in-person training delivery and field events.

About the role

Anthropic is seeking a Senior Manager, Infrastructure Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for a portion of Anthropic's infrastructure portfolio — the leased and owned assets underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success.

This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing infrastructure portfolio is accounted for and understood across the business.

You will own end-to-end accounting for either Anthropic's lease portfolio or its capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 (leases) and/or ASC 360 (fixed assets), and help build the processes, controls, and systems that let this function scale.

Responsibilities

• Lead end-to-end accounting for a portion of Anthropic's AI infrastructure portfolio — leased or owned — including monthly close, construction-in-progress (CIP) tracking where applicable, reconciliations, roll-forwards, and flux analysis
• Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and/or ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations)
• Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made
• Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on
• Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates
• Design and scale systems, processes, and controls to support a rapidly growing infrastructure portfolio
• Collaborate with and mentor accounting professionals across the Infrastructure Accounting team
• Serve as a key point of contact with external auditors on lease and / or fixed asset accounting matters
• Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting

You may be a good fit if you

• Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies
• Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred
• Possess strong technical accounting knowledge of ASC 842 and / or ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements
• Have experience managing a significant lease or fixed asset portfolio in a high-growth environment
• Demonstrate strong analytical abilities and comfort working with large, complex datasets
• Have a track record of improving scalable financial processes in fast-moving environments
• Have experience mentoring and developing accounting professionals
• Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders
• Communicate clearly and influence effectively across cross-functional partners
• Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency

Strong candidates may have

• Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts)
• Experience with lease accounting software and / or fixed asset subledger systems at scale
• SQL proficiency for querying and analyzing large infrastructure and accounting datasets
• Background in Big 4 accounting or advisory services combined with industry experience
• Experience with complex data center buildouts or hybrid cloud / on-premise environments
• Knowledge of AI/ML infrastructure and associated cost structures
• Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation
• Proven ability to navigate ambiguity and drive results in rapidly changing environments

About the role

Every request that hits Claude — from claude.ai, the API, our cloud partners, or internal research — passes through a routing decision. Not a generic load balancer round-robin, but a decision that accounts for what's already cached where, which accelerator the request runs best on, and what else is in flight across the fleet. Get it right and you extract meaningfully more throughput from the same hardware. Get it wrong and you burn capacity, miss latency SLOs, or shed load that shouldn't have been shed.

The Inference Routing team owns this layer. We build the cluster-level routing and coordination plane for Anthropic's inference fleet — the system that sits between the API surface and the inference engines themselves, making fleet-wide efficiency decisions in real time. As Anthropic moves from "many independent inference replicas" toward "a single warehouse-scale computer running a coordinated program," Dystro is the coordination layer.

This is a deeply technical team. The engineers here design custom load-balancing algorithms, build quantitative models of system performance, debug latency spikes that cross kernel, network, and framework boundaries, and reason carefully about cache placement across thousands of accelerators. They work shoulder-to-shoulder with teams that write kernels and ML framework internals. The EM for this team doesn't need to write kernels — but they do need the systems depth to make architectural calls, evaluate deeply technical candidates, and spot when a proposed optimization will have second-order effects on the fleet.

You'll inherit a strong team of distributed-systems engineers, and you'll be accountable for two things that pull in different directions: shipping system-level performance improvements that measurably increase fleet throughput and efficiency, and running the team operationally so that deploys are safe, incidents are rare, and the teams who depend on Dystro can plan around you with confidence. The job is holding both.

Representative work:

Things the Inference Routing EM actually spends time on:

• Deciding whether a proposed routing algorithm change is worth the deploy risk, given the modeled throughput gain and the blast radius if it regresses
• Sequencing a quarter where KV-cache offload, a new coordination protocol, and two model launches all compete for the same engineers
• Working through a persistent tail-latency regression with the team — walking down from fleet-level metrics to per-replica behavior to a root cause in the networking stack
• Building the case (with numbers) to peer teams for why a cross-team protocol change unlocks the next efficiency win
• Running the post-incident review after a cache-eviction bug caused a capacity event, and turning it into process changes that stick
• Interviewing a candidate who has built schedulers at supercomputing scale, and deciding whether they'd be additive to a team that already goes deep

What you'll do:

Drive system-level performance

• Own the technical roadmap for cluster-level inference efficiency — routing decisions, cache placement and eviction, cross-replica coordination, and the protocols that keep routing and inference engines in sync
• Partner with the inference engine, kernels, and performance teams to identify fleet-level throughput and latency wins, then turn those into shipped improvements with measurable results
• Build the team's habit of quantitative performance modeling: claim a win only when you can measure it, and know before you ship what the expected effect is

Deliver reliably and operate cleanly

• Set technical strategy for how routing evolves across heterogeneous hardware (GPUs, TPUs, Trainium) and across all our serving surfaces
• Run the team's operational backbone — on-call rotation, incident response, postmortem review, deploy safety — so the team can ship aggressively without the system becoming fragile
• Create clarity at a seam: Inference Routing sits between the API surface, the inference engines, and the cloud deployment teams. You'll make sure commitments are realistic, dependencies are understood, and nobody is surprised

Build and grow the team

• Develop and retain a strong existing team, and hire against the bar described above: people who can go to the OS and framework level when the problem demands it, and who care about production reliability
• Coach engineers through a roadmap where priorities shift with model launches, new hardware, and scaling demands. We pair a lot here — you'll help make that collaboration pattern productive
• Pick up slack when it matters. This is a small team in a critical path; sometimes the EM is the one unblocking a stuck deploy or synthesizing a design debate

You may be a good fit if you:

• Have 5+ years of engineering management experience, ideally with at least part of that leading teams on critical-path production infrastructure at scale
• Have a deep systems background — load balancing, scheduling, cache-coherent distributed state, high-performance networking, or similar. You need enough depth to make architectural calls about routing and efficiency, and to evaluate candidates who go to the kernel and framework level
• Have shipped performance improvements in large-scale systems and can explain, with numbers, what the impact was
• Have run production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline
• Are results-oriented with a bias toward impact, and comfortable working in a space where throughput, latency, stability, and feature velocity all pull in different directions
• Build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours
• Are curious about machine learning systems. You don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems

Strong candidates may also have:

• Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation
• Background in cluster schedulers, load balancers, service meshes, or coordination planes at scale
• Familiarity with heterogeneous accelerator fleets (GPU/TPU/Trainium) and how hardware differences affect workload placement
• Experience with GPU/accelerator programming, ML framework internals, or OS-level performance debugging — enough to follow and evaluate the technical work, not necessarily to do it daily
• Led teams at supercomputing or hyperscaler infrastructure scale
• Led teams through rapid-growth periods where hiring and onboarding competed with roadmap delivery

Staff Infrastructure Engineer, Node Infra

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research.

Key responsibilities

• Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
• Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
• Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
• Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
• Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
• Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
• Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
• Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
• Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
• Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

About the role

As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.

Responsibilities:

• Strategic Technical Partnership: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
• Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
• Customer Deal Support:  Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
• Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
• Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

About the Role

We are looking for an Incident Response Manager to serve as the operational backbone of how Anthropic handles incidents. When things go wrong, you are the person who makes sure the right people are in the room, the right information is flowing, and nothing falls through the cracks. 

The right person for this role brings structure and rigor to high-volume, high-stakes situations without waiting for a playbook to be handed to them. You will work across engineering, product, security, legal, go-to-market, and leadership to ensure Anthropic responds to incidents with speed, clarity, and accountability. This is not a role where you follow existing runbooks; it is a role where you write them, and where you operate effectively even when the runbook does not yet exist.

Responsibilities

• Build the incident response management function, establishing the processes, tooling, and operational standards that define how we handle incidents at scale
• Serve as an on-call incident commander, driving coordinated response across technical and non-technical stakeholders during incidents of varying severity, including managing multiple active incidents simultaneously
• Engage the right people at the right time, with a strong sense of urgency, bringing order and direction to fast-moving, ambiguous situations
• Own incident communications end-to-end, from real-time internal coordination to external channels like status pages, direct customer outreach, and stakeholder updates, ensuring they reflect Anthropic's commitments to safety, transparency, and accuracy
• Participate in blameless incident reviews, contributing operational context and helping drive follow-through on critical remediations so the same class of incident does not recur
• Partner with engineering teams to develop and maintain incident response policies, procedures, and escalation frameworks that scale with Anthropic's growth
• Partner with engineering, product, security, legal, and go-to-market teams to continuously improve how the organization detects, responds to, and learns from incidents

You May Be a Good Fit If You

• Have 5+ years of experience in incident management, with direct experience managing technical product or infrastructure incidents (not exclusively security or trust and safety)
• Have built or significantly shaped an incident response program, ideally at a high-growth startup or in an environment where you had to create structure rather than inherit it
• Demonstrate a strong sense of ownership and urgency, with the ability to operate independently and make sound decisions under pressure without waiting for direction
• Are comfortable working in unprecedented situations where processes are still being defined and guidance may be incomplete or conflicting, leaving things better than you found them
• Have a track record of effective cross-functional collaboration, particularly with engineering, security, legal, communications, go-to-market, and executive leadership
• Bring a blameless, learning-oriented mindset to incident reviews, focused on systemic improvement rather than individual fault
• Have experience with cloud infrastructure incidents and enough technical depth across the stack to engage meaningfully with engineering teams during response, including comfort navigating distributed systems, monitoring tools, and logs
• Are analytically minded, with experience using data (incident metrics, queries, trend analysis) to inform decisions during response and to drive operational improvements over time
• Communicate clearly and calmly under pressure, both in real-time coordination and in post-incident written communications
• Thrive in high-volume, fast-paced environments and are energized by bringing operational discipline to complex, evolving situations

About the role

Anthropic is expanding beyond cloud infrastructure, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our facility — from initial provisioning and deployment, across its working life, through maintenance and refresh, and all the way to decommissioning. This is greenfield work: you will help define the processes, tooling, and operational standards that govern how we run and retire hardware at scale.

A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI — training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.

Key responsibilities

• Lead the build-out of automation to support datacenters containing tens of thousands of servers.
• Define and own the end-to-end server lifecycle strategy — from provisioning and deployment through operation, maintenance, refresh, and decommissioning — and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
• Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
• Work closely with our Networking team to ensure end-to-end connectivity across all sites.
• Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.

Minimum qualifications

• Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
• End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
• Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
• Working knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.
• Ability to communicate clearly and build consensus with a wide range of stakeholders.
• Comfort navigating ambiguity and making progress on complex, cross-functional problems.
• Willingness to travel occasionally to datacenter sites across North America.

Preferred qualifications

• 8+ years of experience in datacenter operations, hardware infrastructure management, or a closely related discipline.
• Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, AMD MI300, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
• Familiarity with modern provisioning tooling such as coreboot, LinuxBoot, or u-root.
• Experience building or contributing to datacenter automation or fleet management platforms.
• Experience building and deploying server operating system distributions across thousands of hosts.
• Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
• Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.

Senior Manager, Accounts Receivable, Credit & Collections (Americas)

About the role

Anthropic is scaling rapidly, and so is our customer base. As our commercial business grows across the Americas, we need a senior leader to own credit and collections for the region. You will join our Invoice to Cash (I2C) team and be responsible for the end-to-end credit and collections lifecycle for Americas customers, from onboarding credit reviews through dispute resolution and cash recovery.

This is a senior people leadership role with meaningful strategic scope and a strong automation mandate. Anthropic expects its finance function to operate at the frontier of what AI and modern tooling make possible, and credit and collections is a natural place to lead from the front. You will manage a team of managers and analysts, set the credit and collections strategy for the region, and own the automation roadmap that lets us scale cash collection without linearly scaling headcount. You will partner closely with Sales, Legal, Deal Desk, and Customer Success leadership, and help shape the processes, policies, and systems that allow us to extend credit responsibly and collect efficiently at enterprise scale. You will report into the Accounts Receivable Lead and work alongside regional counterparts in EMEA and APAC to drive consistency in how we manage customer credit risk globally.

If you enjoy building operational rigor in a fast-moving environment, have a track record of scaling credit and collections functions through automation and AI, and care about doing right by customers while protecting the business, we would love to hear from you.

Key responsibilities

• Set the strategic direction for Americas credit and collections, including portfolio management, aging reviews, and cash forecasting for the region.

• Own the Americas collections automation roadmap, including segmentation strategy, dunning workflows, self-service payment experiences, and automated dispute routing.

• Drive adoption of AI across the credit and collections workflow, including intelligent prioritization of collector outreach, AI-drafted customer correspondence, predictive risk scoring, and automated reconciliation of customer responses.

• Lead, coach, and develop a team of credit and collections professionals, including people managers, setting clear KPIs around DSO, aging, collection effectiveness, and automation coverage.

• Own credit risk strategy for new and existing Americas customers, including credit policy, credit limit frameworks, payment term guidelines, and data-driven escalation of higher-risk accounts.

• Partner with Sales, Deal Desk, and Legal leadership on contract negotiations involving payment terms, credit exposure, and non-standard billing arrangements.

• Drive timely resolution of material customer disputes in partnership with Billing Operations, Cash Application, and Customer Success.

• Develop and refine credit and collections policies, playbooks, and escalation paths suited to a rapidly scaling enterprise SaaS business, with automation embedded by default rather than bolted on.

• Lead the Americas rollout and continued optimization of our AR automation platform, including workflow design, integrations with ERP and billing systems, and reporting.

• Partner with Finance Systems and internal AI tooling teams to identify and deploy agentic and LLM-based solutions that reduce manual work and improve decision quality across the credit and collections lifecycle.

• Deliver regular reporting and insights on receivables health, bad debt reserves, collections performance, and automation metrics to senior finance leadership.

• Collaborate with regional AR peers to harmonize global credit and collections standards while accounting for Americas-specific commercial and regulatory nuances.

• Represent Americas AR in cross-functional initiatives spanning systems, controls, and finance transformation.

Minimum qualifications

• Experience leading credit and collections teams in a high-growth or enterprise SaaS environment, including managing other managers.

• Demonstrated experience driving automation across credit and collections workflows, with measurable improvements to efficiency, coverage, or DSO.

• Strong working knowledge of commercial credit risk assessment, including use of credit reporting tools (e.g., D&B, Experian) and financial statement analysis.

• Hands-on experience with ERP and AR systems (e.g., NetSuite, Oracle, SAP) and AR automation platforms (e.g., Tesorio, HighRadius, Billtrust), including shaping workflow and integration design rather than just using them.

• Proficiency in Excel or Google Sheets for portfolio analysis, reporting, and ad hoc modeling.

• Strong written and verbal communication skills, with the ability to navigate sensitive customer and executive-level internal conversations diplomatically.

Preferred qualifications

• 10+ years of progressive experience in accounts receivable, credit, or collections, including significant time leading teams and managing people managers.

• Hands-on experience deploying AI or LLM-based solutions in a finance or AR context, whether through vendor tooling, custom workflows, or agentic systems.

• Experience supporting a company through rapid scaling, including process build-out, systems implementation, and org design.

• Familiarity with enterprise contract structures, including multi-year deals, usage-based billing, and non-standard payment terms.

• Exposure to global AR operations and cross-regional coordination.

• Experience partnering with Sales and Deal Desk leadership on complex commercial negotiations.

• Working knowledge of SOX controls and audit requirements as they relate to AR and credit.

• Comfort prompting and evaluating LLMs as part of daily work, and a point of view on where AI creates real leverage in a finance function versus where it does not.

About the role

We are looking for an Accounts Receivable Specialist to join our Invoice to Cash (I2C) team within Revenue Accounting. In this role, you will own a portfolio of customer accounts and drive the collections lifecycle end to end: proactive outreach, dunning, dispute resolution, and ensuring customers pay in accordance with their contractual terms. You will be measured against clear SLAs and KPIs, including cash collection targets, DSO, CSAT, daily outreach volume, and QA reviews of your work.

Anthropic is growing quickly, and our I2C function is scaling with it. Beyond day to day portfolio management, we are looking for someone who will be a strong team contributor: sharing and absorbing best practices, helping shape our playbooks, and bringing thoughtful recommendations to improve our I2C processes and automation tooling.

Responsibilities:

• Own end to end collections activity for an assigned customer portfolio, executing against established dunning schedules and escalation paths

• Conduct proactive customer outreach via email, phone, video, and other channels to secure on time payment in line with contractual terms

• Investigate and resolve customer disputes and billing inquiries, partnering with internal stakeholders across Sales, Customer Success, Billing, Legal, and Revenue Accounting to ensure issues are prioritized and resolved in a timely manner

• Consistently meet or exceed SLAs and KPIs, including cash collection targets, DSO, CSAT, daily outreach, and internal QA reviews

• Maintain accurate, detailed notes of all customer interactions, commitments, and dispute status in our ERP and in Tesorio

• Monitor AR aging, flag at risk accounts early, and recommend action plans to management

• Support cash application research, payment discrepancy resolution, and account reconciliations as needed

• Contribute to month end close activities, including aging analysis and collection forecasts

• Share learnings and best practices across the I2C team, and bring forward recommendations to improve our processes, controls, and automation tooling

• Partner with Finance Systems and I2C leadership on testing, rollout, and adoption of new collections tools and workflow enhancements

You may be a good fit if you:

• Have 7+ years of experience in accounts receivable, collections, or a related Invoice to Cash function

• Have experience working in a B2B SaaS company

• Have experience operating in a hypergrowth or rapidly scaling finance organization

• Have a strong working knowledge of collections, dunning, dispute resolution, and cash application processes

• Have hands on experience with Tesorio, our collections tooling, or like tooling such as HighRadius, Growfin, and others

• Have a track record of meeting or exceeding collections KPIs such as cash targets, DSO, aging, and CSAT

• Have excellent written and verbal communication skills, with the ability to engage customers professionally across email, phone, and video

• Are comfortable navigating cross functional stakeholders to drive dispute resolution with appropriate urgency

• Have experience with ERP platforms (for example NetSuite, Workday, or similar)

• Are proficient in Excel or Google Sheets, including pivot tables and lookups

• Bring strong attention to detail and the ability to manage a high volume portfolio without sacrificing accuracy

• Are a team player who actively shares best practices and welcomes feedback

Strong candidates may also:

• Hold a Bachelor's degree in Accounting, Finance, Business Administration, or a related field

• Have contributed to automation or process improvement initiatives within an I2C organization

• Make heavy use of AI agents in their day to day work to drive efficiency and quality

• Be familiar with credit risk and credit management concepts

• Are passionate about Anthropic's mission to build safe, beneficial AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis.

About the role

We are looking for an Senior Manager, Revenue Accounting - New Product Introduction to join our Accounting Team. In this role, you will be the primary orchestrator for all New Product Introduction (NPI) downstream financial coordination—engaging upstream with Product Operations for early visibility into launches, determining revenue recognition treatment, developing UAT test scenarios, and driving seamless system configurations across Finance Systems, Revenue Operations, and Order Management. If you are looking to make a significant impact at the intersection of product launches and financial infrastructure at an innovative AI company, come join us in our mission to build cutting-edge, safe AI.

Responsibilities

• Serve as the DRI for NPI downstream coordination, routing new launches through financial review and system configuration workflows
• Engage with Product Operations upstream to gain early visibility into launches and provide proactive guidance on revenue accounting implications
• Generate UAT test scenario spreadsheets for revenue-impacting transactions and coordinating with the Financial Systems team on billing system configurations, test invoice processing, and timeline management
• Collaborate with Revenue Operations and Order Management to validate GL account flows, journal entry automation, and provisioning setup
• Draft Technical Accounting memos for non-standard revenue arrangements and finalize accounting logic for manual journal entries when needed
• Drive end-to-end testing across downstream systems prior to launch and proactively escalate risks or delays
• Contribute to process improvement and system implementation projects across the NPI workflow

You may be a good fit if you 

• Have 7+ years of progressive accounting experience with strong expertise in revenue accounting, ASC 606, or technical revenue operations
• Have Big Four public accounting experience (audit or advisory) with a focus on revenue recognition or system implementations
• Have experience working on NPI processes, product launch accounting, or revenue system configurations at a technology company
• Have strong knowledge of ASC 606, including performance obligation analysis, contract modifications, and variable consideration
• Have hands-on experience with revenue recognition tools and billing platforms (e.g., NetSuite, Zuora, Stripe, or similar)
• Have excellent cross-functional collaboration and project management skills, with comfort managing multiple concurrent launches
• Have strong communication skills with the ability to translate complex accounting requirements into actionable guidance for non-accounting stakeholders
• Have a demonstrated ability to thrive in fast-paced, ambiguous environments

Strong candidates may also have

• A Bachelor’s degree in Accounting or Finance; CPA preferred
• Big Four experience in revenue recognition advisory or technology sector audit
• Direct NPI or product launch accounting experience at a high-growth SaaS or AI/ML company
• Experience with consumption-based and subscription-based revenue models
• Familiarity with billing subledger systems, provisioning workflows, and deal desk processes