As a Startup Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. 

The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

About Anthropic

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

• Win new business and drive revenue for Anthropic in Korea. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
• Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
• Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
• Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
• Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

You may be a good fit if you have:

• 3+ years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
• Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
• Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed
• Exposure to negotiating complex, customized commercial agreements with multiple stakeholders
• Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment
• Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
• A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
• Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
• A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
• A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

Responsibilities:

• Maintain full ownership of pipeline generating activities in your sales territory
• Collaborate with sales teams to understand their needs and optimize lead handoff processes
• Manage and prioritize a high volume of inbound leads
• Conduct initial qualifications for high-potential leads
• Outbound against strategic prospects to generate high-intent opportunities with Startup and Enterprise teams
• Support the development and execution of strategic outbound initiatives
• Provide data-driven insights to inform sales strategies and resource allocation
• Continuously refine processes to improve efficiency and effectiveness

You may be a good fit if you have:

• 3+ years of experience in a fast-growing startup, preferably in lead management and project management roles or
• 3+ years of experience in finance & investment banking, consulting or software engineering
• Strong analytical skills with the ability to translate data into actionable insights
• Experience with Salesforce, HubSpot, and SQL (preferred)
• Excellent communication and interpersonal skills
• Ability to work in a fast-paced, dynamic environment
• Passion for AI/ML and understanding of API-first or consumption-based business models
• Bachelor's degree in Business, Marketing, Computer Science, or related field

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

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

As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.

Responsibilities:

• Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success
• Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations
• Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls –  and analyze the results in order make actionable recommendations 
• Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
• Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
• Present complex technical analyses and recommendations to both technical and non-technical stakeholders
• Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow

You may be a good fit if you have:

• 7+ years of experience in data science or analytics roles 
• Deep expertise with Python, SQL, and data visualization tools
• Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments
• Highly effective written communication and presentation skills
• A track record of translating complex data into clear, actionable insights for both technical and business stakeholders
• A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress
• A passion for the company’s mission of building helpful, honest, and harmless AI
• Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem

We’re hiring across multiple pillars

Applying for this role will allow you to be considered for all pillars currently hiring. You will be asked to select a preference when submitting an application.

Claude Code

This role is embedded with the Claude Code product team, driving data-informed decisions for Anthropic's agentic coding tool that enables developers to delegate coding tasks directly to Claude from their terminal. You'll help the team understand how developers interact with AI coding assistants, measure developer productivity and product quality, and identify opportunities to innovate the developer experience as the product scales. Key focus areas include developer usage patterns across the platform, driving adoption within the developer ecosystem, and developer segmentation.

Strong candidates may have:

• Deep familiarity with software development workflows, developer tools, and engineering productivity metrics—ideally from working at developer-focused companies or on products targeting software engineers
• Experience analyzing human-AI interaction patterns, particularly in code generation or developer tooling contexts
• Experience supporting product teams building for the Enterprise

Consumer Data Scientist

You will be embedded with our Consumer product team. This team is responsible for building all consumer-facing Claude experiences—including web, mobile, desktop, and browser extensions. In this role, you'll shape how millions of users interact with Claude daily, driving product insights to product recommendations for interfaces that are intuitive, responsive, and push the boundaries of what AI-powered applications can be.

Strong candidates may have:

• Experience working closely with Product and Engineering teams on consumer products across multiple platforms (web, iOS, Android, desktop, browser extensions)
• Demonstrated impact on product roadmap and strategy from data deep dives in consumer growth, engagement and retention
• Expert in experimentation, holding a high statistical bar for measuring the impact of core product changes

Platform Product Data Scientist

You will partner closely with product, engineering, and go-to-market teams to understand how developers and enterprise customers build on and adopt the Claude Developer Platform—spanning our core API, agent orchestration, tool and MCP integrations, and knowledge management capabilities. You'll identify growth opportunities, surface insights about how AI agents are being built and deployed at scale, and drive data-informed decisions that shape our platform roadmap.

Strong candidates may have:

• 3+ years of experience working closely with Product or Engineering teams on API or developer-facing products, with demonstrated impact on product roadmap and strategy
• Experience supporting B2B sales teams with data insights
• Strong instincts for what drives product adoption, engagement, and retention

Model Experience Data Scientist

You will work closely with product, engineering, and research leaders to bring data-driven rigor to every phase of model development and launch. Sitting at the true bleeding edge of putting frontier AI research into the public domain, you will leverage data from both external customers and internal testing to define and measure key company success metrics, and analyze user and model behavior to identify new opportunities to push the frontier. 

Strong candidates may have:

• 3+ years of experience deeply embedding in Product or Research teams, preferably working with LLM or AI products
• Comfort working with unstructured data

About the role

Anthropic is compute-constrained, and how we allocate that compute is one of the highest-leverage decisions we make as a company. Today, those allocation choices are only loosely tied to the user outcomes we ultimately care about — retention, lifetime value, and the experience of people relying on Claude. You will change that.

As a hands-on technical IC on the Supply pillar of our Data Science & Analytics team, you'll sit alongside the infrastructure engineers who run our compute and help decide how our scarcest resource gets used. You'll design and run the analyses, observational and synthetic experiments, and optimization frameworks that turn opaque supply decisions into shared, measurable understanding across the company. Your work will directly shape how frontier AI reaches the world at scale, and your findings will go in front of senior leadership, including our CTO and his staff.

This role is a fit for someone who thinks natively in terms of constrained allocation and queueing, who enjoys getting close to the system rather than analyzing it from a distance, and who wants their analyses to translate into operational changes that ship.

Responsibilities:

• Build and run testing frameworks — observational and synthetic — to quantify how different inputs affect compute allocation outcomes
• Connect compute allocation decisions to downstream user outcomes (retention, LTV, revenue) so we stop optimizing in a vacuum
• Partner closely with infrastructure engineers, product, and research to instrument the system, measure what matters, and ship operational changes
• Develop the metric hierarchies, dashboards, and reporting that turn supply decisions into shared understanding across the company
• Contribute analyses and recommendations to executive forums, and co-author the supply narrative the team takes to the CTO and his staff
• Measure and improve how AI affects developer productivity inside Anthropic

You may be a good fit if you have:

• Strong technical IC background in data science, analytics, or operations research
• Operations research foundation — you think natively in terms of optimization, constrained allocation, and queueing
• Deep proficiency with Python, SQL, and data visualization tools
• Track record of owning analyses end-to-end and communicating results clearly to engineering and product leadership
• Direct experience working closely with engineering teams on production systems
• A passion for Anthropic's mission of building helpful, honest, and harmless AI

Strong candidates may have:

• 5+ years of technical IC experience in data science, analytics, or operations research; 8+ years for candidates targeting a Staff-level scope
• Experience with highly complex systems with many interacting components (ad networks, payment processing, marketplace matching, routing, etc.)
• Experience with causal inference methods applied to operational decisions (synthetic controls, geo-experiments, switchbacks)
• Experience contributing to or designing experimentation platforms, not just using them
• Exposure to AI/ML products, large language models, or large-scale inference systems
• Track record of setting technical direction across multiple workstreams or mentoring senior ICs without formal management responsibility

Deadline to apply: None. Applications are accepted on a rolling basis.

About the role

Anthropic is seeking a Program Manager to own and drive our student outreach strategy, establishing Claude as the AI platform of choice for the next generation of builders, researchers, and creators at universities worldwide. 

You'll lead flagship programs including the Claude Campus Ambassador Program and Claude Builder Clubs, while developing new initiatives that embody Anthropic's mission of helping humanity navigate the AI transition.

 This is a high-ownership role where you'll define the vision, build the infrastructure, and personally drive execution for how Anthropic engages with student communities globally. Beyond keeping programs running smoothly, you'll make real strategic decisions and own the student narrative company-wide. 

We're looking for someone who thrives with significant autonomy, can operate effectively with ambiguity, and has the judgment to make consequential calls about where we invest our resources.

Responsibilities

• Lead the Claude Campus Ambassador Program, recruiting, training, and supporting student ambassadors at universities worldwide
• Build and scale Claude Builder Clubs to foster student communities around AI development
• Design and execute brand activations and event programming tailored for student audiences
• Develop overall strategy and positioning for Claude with the student persona
• Manage student hackathon partnerships at scale, including sponsorships, judging, and mentorship programs
• Lead outreach efforts to grow Claude awareness and usage on university campuses globally
• Develop new programs that apply Anthropic's mission of helping humanity through the AI transition to the student audience
• Collaborate with product, sales, developer relations, marketing and communications teams to ensure student programs align with broader company goals
• Track and report on program metrics, continuously optimizing for impact and scale

Minimum Qualifications

• Proven track record of building and scaling ambassador or community programs in education or edtech space
• Track record of making strategic decisions with incomplete information and delivering results
• Experience operating autonomously and driving outcomes without heavy oversight
• Strong communication skills—you'll represent Anthropic to university leadership, partners, and across internal teams
• Proven ability to manage complex, multi-stakeholder initiatives while keeping execution sharp
• Comfort with travel for campus events and hackathons (estimated 5-10%)

Preferred Qualifications

• 5+ years of experience in program management, developer relations, community building, or campus engagement, with increasing scope and ownership over time
• Experience building campus or student programs at a major technology company
• Background in hackathon organization or developer community ecosystems
• Technical fluency or hands-on experience with AI/ML
• International program management experience across multiple regions
• Experience with brand strategy or experiential marketing

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

Anthropic is seeking a Certification Development Lead to build and scale a best-in-class certification program for our partner ecosystem. We’ve launched our first certification, the Claude Certified Architect, Foundations (CCA-F), and now we need someone to turn that first credential into a comprehensive, multi-tiered program that our systems integrator, consulting, and technology partners rely on to demonstrate real competence with Claude.

This is a 0-to-1 build. You’ll define the certification strategy, design the credential architecture, and build the program infrastructure from the ground up, all with our partner audience at the center. You’ll work at the intersection of program design and subject matter expertise: identifying what partners need to know, structuring the path to get them there, and collaborating with internal SMEs to ensure the content reflects how Claude actually works and where it’s headed. The systems and tooling that deliver certifications are being built by a separate team; your focus is the program itself, the credentialing framework, the partner experience, and the cross-functional relationships that keep it all connected.

The broader program strategy, including audience planning, partner relationships, and go-to-market alignment, lives within the Partner Enablement team. You’ll sit at the center of that work, collaborating closely with Partnerships, Applied AI, and GTM Productivity to ensure certifications serve both the partners earning them and the Anthropic teams relying on certified partners to extend our reach.

Responsibilities

• Own the end-to-end certification program: define the vision, build the credentialing framework, and establish the multi-tiered certification path that scales with Anthropic’s partner ecosystem
• Design certification architectures, competency frameworks, and assessment methodologies that measure real applied skill, not just content exposure
• Build with the partner audience in mind: understand the needs, workflows, and incentives of SI, consulting, and technology partners, and design credentialing experiences that meet them where they are
• Collaborate with internal subject matter experts across Applied AI, Product, and Engineering to translate Claude’s evolving capabilities into rigorous, current certification content
• Partner with trainers and to ensure alignment between training delivery and credentialing requirements, so the learning journey and credential path reinforce each other
• Work cross-functionally with Partnerships, GTM Productivity, and Revenue Operations to connect certification outcomes to partner performance, pipeline attribution, and ecosystem health metrics
• Define and manage relationships with credentialing vendors and collaborate with the systems owner on platform and delivery infrastructure decisions
• Establish quality standards for assessments including validity, reliability, and fairness, and use assessment data to continuously improve the program
• Build the operational processes around certification lifecycle management: development, launch, renewal, versioning, and retirement of credentials as Claude’s capabilities evolve

You May Be a Good Fit If You Have

• 7+ years in certification program design, credentialing, developer education, or partner enablement, with demonstrated experience building programs from scratch, not just maintaining existing ones
• A track record of 0-to-1 builds: you’ve stood up a certification or credentialing program where one didn’t exist before, defined the strategy, earned stakeholder buy-in, and shipped it
• Deep understanding of partner ecosystems, particularly SI and consulting partner audiences, and the ability to design certification experiences that drive real adoption and competency within those organizations
• Strong educational design instincts: you think in terms of competency frameworks, learning progressions, and what it actually means to demonstrate mastery versus having been exposed to content
• Experience with assessment methodologies beyond multiple-choice, including performance-based assessment, portfolio evaluation, or scenario-based testing that measures applied skill
• Baseline fluency with AI and technology products, with the ability and curiosity to learn Claude’s product suite deeply enough to articulate the “why” behind each certification tier and competency requirement
• Clear, structured communication and the ability to work with non-education stakeholders (partnerships, sales, engineering) while maintaining rigorous program standards
• Comfort operating in ambiguous, fast-moving environments, making decisions with incomplete information, and iterating quickly based on partner and internal feedback

Strong Candidates May Also Have

• Experience managing relationships with credentialing vendors (Pearson, Credly, or similar) and navigating the operational complexity of third-party certification delivery
• Familiarity with certification program economics: pricing, packaging, and the business model decisions that make a program sustainable
• Background in technical credentialing specifically, such as cloud certifications (AWS, GCP, Azure) or developer platform credentials
• Knowledge of psychometrics, credential validation, or assessment quality frameworks
• Experience benchmarking and learning from best-in-class programs from peer organizations
• Prior work at a high-growth technology company navigating rapid product change

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

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

À propos du poste

Rejoignez l'équipe Customer Success d'Anthropic en tant que Customer Success Manager basé(e) dans la région EMEA, alors que nous façonnons l'avenir de l'adoption de l'IA en entreprise. En tant que Customer Success Manager chez Anthropic, vous serez partenaire stratégique et conseiller de confiance de nos clients les plus complexes dans la zone EMEA, les aidant à exploiter pleinement le potentiel de toutes nos fonctionnalités Claude : API, Claude for Enterprise et Claude Code.

Vous développerez de véritables partenariats avec les clients, acquérant une compréhension approfondie de leurs objectifs commerciaux, de leur orientation stratégique, de leur vision en IA et de leurs besoins techniques. Vous ferez appel à la fois à votre sens des affaires et à votre expertise technique pour agir comme conseiller stratégique tout au long de leur parcours chez nous.

En partenariat avec l'ensemble de l'équipe chargée des comptes, vous aiderez les clients à identifier les fonctionnalités Claude les mieux adaptées à leurs objectifs commerciaux spécifiques, en travaillant en étroite collaboration avec eux pour leur fournir les meilleures pratiques et des conseils, tout en les aidant dans la croissance et l'évolution de leur utilisation (consommation et base) sur le siège.

Votre rôle consiste à aider les clients à adapter efficacement leur utilisation, à mettre en œuvre des stratégies de gestion du changement, à optimiser les cas d'utilisation et à maximiser la valeur de leur investissement en élargissant les cas d'utilisation à l'ensemble de leur organisation. Les informations que vous recueillerez auprès de vos clients serviront directement à définir nos priorités en matière de recherche, de développement et

de stratégies de commercialisation, vous permettant de jouer un rôle clé dans la manière dont nous créons et fournissons de la valeur en continu en tant qu'entreprise.

En tant que l'un de nos premiers CSM dans la région EMEA, vous serez une pionnière en aidant à mettre en place des processus régionaux, à établir de nouvelles relations avec les clients et en représentant la marque Anthropic dans un

marché en forte croissance. Vous travaillerez avec une grande autonomie tout en maintenant un alignement fort avec les équipes mondiales, ce qui requiert une personne qui s'épanouit dans des environnements ambigus et peut travailler efficacement dans différents fuseaux horaires.

Responsabilités :

• Établir des relations de confiance et stratégiques avec les décideurs clés des clients EMEA afin de comprendre leurs activités et leurs objectifs, en identifiant des opportunités d'optimisation et d'expansion
• Devenir expert des produits Anthropic via API, Claude for Enterprise et Claude Code, en comprenant les nuances techniques et les meilleures pratiques de chacun afin d'orienter les clients vers les bonnes solutions
• Tirer parti de votre connaissance approfondie du client et des spécificités régionales pour piloter de manière proactive la planification de l'utilisation, en cernant les tendances actuelles et futures en matière de consommation et d'adoption, ainsi que la manière dont celles-ci se traduisent en valeur ajoutée pour le client
• Surveiller les schémas d'utilisation et identifiez les opportunités d'optimisation, en traitant de manière proactive la sous-utilisation des produits basés sur la consommation (API) et par abonnement (Claude for Enterprise / Claude Code) pour tirer pleinement parti des engagements contractuels
• Jouer le rôle de partenaire stratégique auprès des clients, en enrichissant leur connaissance des produits Claude grâce à la diffusion de la feuille de route des produits d'Anthropic, en faisant connaître les nouveaux produits et en impliquant les chefs de produit pour qu'ils se fassent le porte-parole des clients de la région EMEA
• Documenter et quantifier la valeur client réalisée grâce aux résultats commerciaux, au ROI et aux indicateurs d'impact afin de constituer des arguments commerciaux internes convaincants en vue de poursuivre et d'accroître les investissements
• Identifier les cas d'utilisation potentiels et les secteurs d'activité qui ne sont pas encore exploités, en collaborant avec les clients pour découvrir de nouvelles applications pour Claude au sein des différents services, équipes et flux de travail
• Élaborer et mettre en œuvre des stratégies de gestion du changement pour favoriser l'adoption par les utilisateurs finaux et maximiser la valeur au sein des organisations clientes, y compris des programmes de formation des formateurs, le développement de centres d'excellence et l'accompagnement organisationnel
• Gérer l'expérience client tout au long de son cycle de vie : gérer des comptes complets et des plans de réussite fondés sur les objectifs commerciaux du client, réaliser des bilans commerciaux trimestriels et servir de principal intermédiaire entre le client et Anthropic
• Contribuer au développement de la marque Anthropic et des relations avec la clientèle en tant que membre de la première équipe de service client de la région, en élaborant, si nécessaire, des processus, des guides opérationnels et des bonnes pratiques adaptés à la zone EMEA et tenant compte des cultures d'entreprise régionales

Profil recherché :

• Vous avez plus de 6 ans d'expérience dans des fonctions en contact avec la clientèle (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer ou similaire)
• Expérience avérée en matière de réussite dans les modèles commerciaux basés sur la consommation et sur la location de places, avec une bonne compréhension des différents leviers de croissance et des indicateurs de performance associés
• Maîtrise technique et capacité à comprendre et à articuler les concepts d'IA/ML, les intégrations d'API et les modèles de mise en œuvre logicielle
• Expérience dans la présentation et la démonstration de produits techniques auprès de publics variés
• Mentalité stratégique pour identifier les opportunités de croissance et les traduire en plans d'expansion concrets
• Collaborateur polyvalent qui représente le client avec positivité et proactivité, en mobilisant l'ensemble de l'équipe autour de solutions permettant de répondre aux besoins du client
• Solides compétences en gestion de projet et capacité à gérer plusieurs relations clients
• Passion pour l'IA et intérêt pour le développement responsable de systèmes avancés
• Acquérir de l'expérience en travaillant et en contribuant au développement d'une région en pleine croissance, tout en jonglant avec les fuseaux horaires depuis le siège social situé aux États-Unis
• Un talent pour mettre de l'ordre dans le chaos et une mentalité enthousiaste de « retrousser ses manches ». Vous avez l'esprit d'équipe
• (Bonus) Maîtrise du français, de l'allemand, de l'espagnol ou de l'italien

About the role

Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.

You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. 

In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.

Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization.  The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. 

As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.

Responsibilities:

• Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
• Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
• Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
• Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
• Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
• Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
• Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
• Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
• Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
• Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures

You may be a good fit if you have:

• 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
• Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
• Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
• Experience explaining and demonstrating technical products to various audiences
• Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
• Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs 
• Strong project management skills and ability to manage multiple customer relationships
• Passion for AI and interest in responsible development of advanced systems
• Experience working in and building a growing region, while navigating across time zones with US-based headquarters
• A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality. You are a true team player
• Fluency in French, bonus if you also have Spanish or Italian as another language

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

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.

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

The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.

Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.

Responsibilities

End-User Support

• Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
• Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
• Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
• Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
• Handle escalations requiring cross-team coordination
• Participate in an on-call rotation for urgent issues outside business hours
• Provide hands-on support for user technology, AV systems, conference rooms, and printers

Communication & Documentation

• Communicate clearly with users of all technical levels
• Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
• Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves

Operational Improvement

• Help streamline onboarding and other high-volume operations as the company scales
• Contribute to automation efforts
• Maintain and improve device management, identity, and access systems
• Assist with scripting (Bash, Python) to automate repetitive tasks

You may be a good fit if you

• Have 5-7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
• Are an excellent communicator who genuinely enjoys helping people solve problems
• Have strong troubleshooting skills and are methodical, curious, and persistent
• Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
• Have significant experience with Google Workspace administration
• Have experience with Slack administration — workspace management, permissions, and troubleshooting
• Have substantial experience supporting and administering additional SaaS tools
• Understand identity and access fundamentals — SSO, MFA, directory services
• Are familiar with MDM fundamentals and endpoint management concepts
• Have experience with basic scripting (Bash or Python) for automation
• Take ownership of problems and follow through until they're resolved
• Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
• Are organized enough to manage competing priorities without things falling through the cracks
• Propose solutions when you see a process that doesn't scale
• Are looking to develop deeper technical skills and take on more complex systems administration challenges over time

Strong candidates may also

• Be familiar with zero-trust security concepts and endpoint security tooling
• Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
• Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
• Have experience using AI tools to improve personal or team productivity

Location

This role is based in our Dublin office. There is a 5 day per week in office expectation.

What Makes This Role Unique

You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.

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

Apply using this link. We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn't work for you.

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics & Societal Impacts Fellows

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Across the workstreams, you may be a good fit if you:

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
• Experience in areas of research or engineering related to their workstream

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program

The Anthropic Institute Fellows (Economics & Policy)

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:

• Economics
  • Maxim Massenkoff
  • Peter McCrory
• Policy, Security, and Society
  
  • Jack Clark
  • Marina Favaro
  • Jim Baker

Projects in this workstream may include:

• Designing and conducting empirical research on AI's economic effects, drawing on external data sources
• Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society
• Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
• Measuring the extent to which model performance increases with custom harnesses?
• Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems?
• Identifying which metrics relating to AI R&D could service as early warning signals for recursive self-improvement

For past project examples, see:

• How AI Impacts Skill Formation: Judy Shen and Alex Tamkin
• Stress-Testing Model Specs Reveals Character Differences among Language Models: Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have an interest in economics or policy research; prior experience in this area is a plus but not required
• Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda
• Are skilled at writing up and communicating your results, even when they're null or unexpected
• Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

Apply here

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

Apply using this link. We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn't work for you.

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics & Societal Impacts Fellows

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Across the workstreams, you may be a good fit if you:

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
• Experience in areas of research or engineering related to their workstream

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program

Reinforcement Learning Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:

• Ruhua Jiang
• Kaidi Cao
• Sunny Duan
• David Brandfonbrener
• Colt Steele
• Dino Distefano
• Will Williams

Projects in this workstream may include:

• Building model-based tools to better understand AI training data and improve training data quality
• A research project to better understand generalization
• Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
• Building RL environments for safety-related tasks
• Conducting research and implementing solutions in areas such as RL algorithms

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

Apply here

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

Apply using this link. We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn't work for you.

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics & Societal Impacts Fellows

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Across the workstreams, you may be a good fit if you:

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
• Experience in areas of research or engineering related to their workstream

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program

ML Systems & Performance Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Alwin Peng
• Zygi Straznickas

Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.

For a past example of an engineering-heavy project, see:

• AI agents find $4.6M in blockchain smart contract exploits

Projects in this workstream may include:

• Building a CPU simulator for accelerator workloads
• Adding backends for different accelerators on an open source project
• Building on demand infrastructure for other infrastructure heavy fellows projects 
• Building complex synthetic data or environment pipelines

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

Apply here

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

Apply using this link. We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn't work for you.

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics & Societal Impacts Fellows

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Across the workstreams, you may be a good fit if you:

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
• Experience in areas of research or engineering related to their workstream

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program

AI Security Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Nicholas Carlini
• Keri Warr
• Evyatar Ben Asher
• Keane Lucas
• Newton Cheng

On our Alignment Science and Frontier Red Team blogs, you can read about some past Fellows projects, including:

• AI agents find $4.6M in blockchain smart contract exploits: Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng
• Strengthening Red Teams: A Modular Scaffold for Control Evaluations: Chloe Loughridge et al., mentored by Jon Kutasov and Joe Benton

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Are motivated by reducing catastrophic risks from advanced AI systems
• Have contributed to open-source projects in LLM- or security-adjacent repositories
• Have demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Have experience with pentesting, vulnerability research, or other offensive security work
• Have a demonstrated willingness to do the "dirty work" that produces high-quality outputs
• Have reported CVEs or been awarded bug bounties
• Have experience with empirical ML research projects
• Have experience with deep learning frameworks and experiment management

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

Apply here

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

Apply using this link. We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn't work for you.

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics & Societal Impacts Fellows

This page is specific to one of the Anthropic Fellows Workstreams, see also the main Anthropic Fellows posting.

Across the workstreams, you may be a good fit if you:

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
• Experience in areas of research or engineering related to their workstream

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program

AI Safety Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Sam Bowman
• Sara Price
• Alex Tamkin
• Nina Panickssery
• Trenton Bricken
• Logan Graham
• Jascha Sohl-Dickstein
• Joe Benton
• Collin Burns
• Fabien Roger
• Samuel Marks
• Kyle Fish
• Ethan Perez

Our mentors will lead projects in select AI safety research areas, such as:

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
• Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
• Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.
• Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
• AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.

On our Alignment Science and Frontier Red Team blogs, you can read about past projects, including:

• Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data: Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans
• Open-source circuits: Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey

For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions.

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Are motivated by reducing catastrophic risks from advanced AI systems
• Have experience with empirical ML research projects
• Have experience working with large language models
• Have experience in one of the research areas mentioned above
• Have a track record of open-source contributions

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

Apply here

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

Apply using this link. We are accepting applications on a rolling basis for the next cohort of Anthropic Fellows, which is expected to start in late September. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the September start date doesn't work for you.

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers.

We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in July 2026 and beyond.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace (in either Berkeley, California or London, UK)
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

Fellows workstreams

Due to the success of the Anthropic Fellows for AI Safety Research program, we are now expanding it across teams at Anthropic. We expect there to be significant overlap in the types of skills and responsibilities across the roles and will by default consider candidates for all the workstreams.

Some of the workstreams may include unique assessment steps; we therefore ask you for workstream preferences in the application. You can see an overview of the current workstreams below:

1. AI Safety Fellows
2. AI Security Fellows
3. ML Systems & Performance Fellows
4. Reinforcement Learning Fellows
5. Economics Fellows

Across the workstreams, you may be a good fit if you:

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Strong candidates may also have:

• Strong background in a discipline relevant to a specific Fellows workstream (e.g. economics, social sciences, or cybersecurity)
• Experience in areas of research or engineering related to their workstream

Candidates must be:

• Fluent in Python programming
• Available to work full-time on the Fellows program

AI Safety Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Sam Bowman
• Sara Price
• Alex Tamkin
• Nina Panickssery
• Trenton Bricken
• Logan Graham
• Jascha Sohl-Dickstein
• Joe Benton
• Fabien Roger
• Samuel Marks
• Kyle Fish
• Ethan Perez

Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.

Our mentors will lead projects in select AI safety research areas, such as:

• Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
• Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
• Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.
• Model Internals / Mechanistic Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
• AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.

On our Alignment Science and Frontier Red Team blogs, you can read about past projects, including:

• Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data: Alex Cloud and Minh Le, et al., mentors including Samuel Marks and Owain Evans
• Open-source circuits: Michael Hanna and Mateusz Piotrowski with mentorship from Emmanuel Ameisen and Jack Lindsey

For a full list of representative projects for each area, please see these blog posts: Introducing the Anthropic Fellows Program for AI Safety Research, Recommendations for Technical AI Safety Research Directions.

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Are motivated by reducing catastrophic risks from advanced AI systems
• Have experience with empirical ML research projects
• Have experience working with large language models
• Have experience in one of the research areas mentioned above
• Have a track record of open-source contributions

AI Security Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Nicholas Carlini
• Keri Warr
• Evyatar Ben Asher
• Keane Lucas
• Newton Cheng

On our Alignment Science and Frontier Red Team blogs, you can read about some past Fellows projects, including:

• AI agents find $4.6M in blockchain smart contract exploits: Winnie Xiao and Cole Killian, mentored by Nicholas Carlini and Alwin Peng
• Strengthening Red Teams: A Modular Scaffold for Control Evaluations: Chloe Loughridge et al., mentored by Jon Kutasov and Joe Benton

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Are motivated by reducing catastrophic risks from advanced AI systems
• Have contributed to open-source projects in LLM- or security-adjacent repositories
• Have demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Have experience with pentesting, vulnerability research, or other offensive security work
• Have a demonstrated willingness to do the "dirty work" that produces high-quality outputs
• Have reported CVEs or been awarded bug bounties
• Have experience with empirical ML research projects
• Have experience with deep learning frameworks and experiment management

ML Systems & Performance Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Alwin Peng
• Zygi Straznickas

For a past example of an engineering-heavy project, see:

• AI agents find $4.6M in blockchain smart contract exploits

Projects in this workstream may include:

• Building a CPU simulator for accelerator workloads
• Adding backends for different accelerators on an open source project
• Building on demand infrastructure for other infrastructure heavy fellows projects 
• Building complex synthetic data or environment pipelines

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

Reinforcement Learning Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:

• Ruhua Jiang
• Kaidi Cao
• Sunny Duan
• David Brandfonbrener
• Colt Steele
• Dino Distefano
• Will Williams

Projects in this workstream may include:

• Building model-based tools to better understand AI training data and improve training data quality
• A research project to better understand generalization
• Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
• Building RL environments for safety-related tasks
• Conducting research and implementing solutions in areas such as RL algorithms

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

The Anthropic Institute Fellows (Economics & Policy)

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:

• Economics
  • Maxim Massenkoff
  • Peter McCrory
• Policy, Security, and Society
  
  • Jack Clark
  • Marina Favaro
  • Jim Baker

Projects in this workstream may include:

• Designing and conducting empirical research on AI's economic effects, drawing on external data sources
• Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society
• Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale
• Measuring the extent to which model performance increases with custom harnesses?
• Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems?
• Identifying which metrics relating to AI R&D could service as early warning signals for recursive self-improvement

For past project examples, see:

• How AI Impacts Skill Formation: Judy Shen and Alex Tamkin
• Stress-Testing Model Specs Reveals Character Differences among Language Models: Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have an interest in economics or policy research; prior experience in this area is a plus but not required
• Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda
• Are skilled at writing up and communicating your results, even when they're null or unexpected
• Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in London and Berkeley where fellows will work from and mentors will visit. We are also open to remote fellows in the UK, US, or Canada. We will ask you about your availability to work from Berkeley or London (full- or part-time) during the program.

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

Applications and interviews are managed by Constellation, our recruiting partner. Clicking "Apply here" will take you to their portal, and updates will come from a Constellation address. Constellation also runs the Berkeley workspace and provides program support for fellows working on AI safety and security; fellows on capabilities-focused projects are supported directly by Anthropic. All applicants currently use the same application portal but we are working to separate applications for safety/security and capabilities focused projects in future rounds.

Apply here

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

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

The Knowledge Work team builds the training environments and evaluations that make Claude effective at real-world professional workflows — searching, analyzing, and creating across the tools and documents knowledge workers use every day. As that work scales, the systems behind it need to be as rigorous as the research itself.

We are looking for a Research Engineer to own the reliability, observability, and infrastructure foundation that the team's research depends on. You will be responsible for ensuring our training and evaluation runs remain stable, well-instrumented, and high-quality as they grow in scale and complexity.

A core part of this role is shifting reliability work from reactive to proactive: hardening systems, stress-testing at realistic scale, and building the observability and tooling that surface problems early — so researchers can stay focused on research rather than incident response. You will be the team's stable, context-rich owner for environment health and evaluation integrity, and the primary point of contact for partner teams when issues arise.

Where this role focuses: While you'll work closely with researchers building new training environments, the priority for this role is the reliability those environments depend on. It's best suited to an engineer who finds real ownership and impact in making critical systems dependable, and in being the person behind trustworthy evaluation results the entire organization relies on.

Key Responsibilities:

• Serve as the dedicated reliability owner for the Knowledge Work training environments, providing continuity of context and reducing the operational overhead of rotating ownership

• Own a clean, canonical set of evaluation tools and processes for Knowledge Work capabilities, including the process used for model releases

• Build and automate observability, dashboards, and operational tooling for our training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation

• Proactively harden environments and evaluation systems through load testing, fault injection, and stress testing at realistic scale, so failures surface early rather than during critical training work

• Act as the primary point of contact for partner training and infrastructure teams when issues in our environments arise, and drive incidents to resolution

• Reduce the operational burden on researchers so they can stay focused on research

Minimum Qualifications:

• Highly experienced Python engineer who ships reliable, well-instrumented code that teammates trust in production

• Demonstrated experience operating ML or distributed systems at scale, including significant on-call and incident-response experience

• Strong SRE or production-engineering mindset — reaching for SLOs, load tests, and failure injection before reaching for more dashboards

• Foundational ML knowledge sufficient to understand what a training environment or evaluation is actually measuring, and recognize when an evaluation has become stale or gameable

• Able to read research code and reason evaluation integrity

Preferred Qualifications:

• 5+ years of experience operating ML or distributed systems at scale

• Experience building or operating RL environments, agent harnesses, or LLM evaluation frameworks

• Familiarity with reward modeling, evaluation design, or detecting and mitigating reward hacking

• Experience with bservability stacks (metrics, tracing, structured logging) and operational dashboard tooling

• Background in chaos engineering, fault injection, or large-scale load testing

• Experience with data quality pipelines, drift detection, or evaluation-set curation and versioning

• Familiarity with large-scale training or inference infrastructure (schedulers, multi-agent orchestration, sandboxed execution)

• Prior experience as a dedicated reliability or operations owner embedded within a research team

About the role

As Anthropic continues to grow, the rigor and sophistication of how we plan our workforce needs to grow with us, and our People Analytics team plays a central role in that work.

We are looking for a Workforce Planning Lead to own how Anthropic plans, forecasts, and tracks its workforce, from the underlying data and tooling, to forecasting models, to the cadence and partnership that connects workforce decisions to business strategy. The person in this seat will shape the next chapter of how workforce planning runs at Anthropic.

The role is highly cross-functional. You will partner closely with Recruiting, Finance, People Partners (HRBPs), talent leaders, and business leaders across the company to understand headcount needs, model tradeoffs, and translate strategy into workforce plans. Strong grounding in people analytics methods, judgment, and a generalist orientation are essential. Scope will at times extend beyond traditional workforce planning into broader People Analytics work.

Key responsibilities

Workforce planning process and strategic partnership

Lead recurring company-wide headcount planning cycles and the ongoing rhythms of review, monitoring, and adjustment that keep plans connected to the business. Partner with Finance, Recruiting, and talent leaders to translate business strategy into workforce implications, including hiring plans, capacity needs, location considerations, and workforce mix. Help inform where and how Anthropic grows over time. Strengthen the underlying infrastructure that supports planning, including position management, governance of core workforce data, and consistency across our people systems. Be a trusted thought partner when growth plans are set, organizational design is evaluated, or new initiatives are resourced, providing the data and modeling that lets leaders make decisions.

Forecasting and scenario modeling

Build and maintain quantitative models for headcount forecasting, attrition projection, hiring plan scenario analysis, and capacity planning. Develop scenario analyses that quantify tradeoffs across growth plans, hiring assumptions, attrition rates, and budget considerations. Identify supply and demand gaps before they become bottlenecks.

Analytics, dashboards, and insight

Build self-service dashboards for executives, functional leaders, and managers showing current state, plan versus actual, pipeline health, and key workforce metrics. Develop predictive analytics including attrition risk, hiring velocity forecasting, and supply/demand gap identification. Translate analysis into clear narratives that drive decisions.

Cross-functional execution

Provide hands-on operational support during structural change, including reorganizations, new team formation, and rapid scaling of a function. Support broader People Analytics workstreams as needed. This role will frequently touch attrition, recruiting funnel, location analytics, and other people data.

Minimum qualifications

• Experience in people analytics, workforce planning, or a closely related quantitative role
• Have built and maintained quantitative models for headcount forecasting, attrition, or hiring plan scenarios in a high-growth environment
• Highly proficient in SQL and have working knowledge of Python or R for modeling
• Have hands-on experience with HRIS and ATS data
• Have built dashboards in tools like Looker, Tableau, or comparable, and can translate analysis for senior leadership audiences
• Are a strong generalist analyst who thrives in ambiguity, balances rigor with pragmatism, and challenges assumptions with data
• Communicate clearly with senior stakeholders across Recruiting, Finance, and the business
• Are comfortable owning end-to-end development of a function, defining what to build, building it, and iterating
• Thrive in a fast-paced environment, can pivot quickly as priorities shift, and are energized by the pace

Preferred qualifications

• 7+ years in people analytics in workforce planning
• Background in workforce planning and people analytics at high-growth technology companies or AI/ML organizations, ideally having led workforce planning end-to-end or stood up the function from scratch
• Experience leading the rollout or significant upgrade of position management capabilities
• Experience partnering with FP&A on financial planning and connecting headcount plans to budget considerations
• Familiarity with capacity planning models (e.g., recruiter capacity against hiring goals, revenue per AE)
• Experience supporting org design analytics (span of control, layers, manager ratios) and structural decisions
• Working knowledge of compensation principles, sufficient to model comp tradeoffs in scenario analysis
• Experience with modern data stack tools
• Experience with employee lifecycle metrics and people KPIs

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 

As a Recruiting Coordinator at Anthropic, you'll be the engine that helps our recruiting efforts go, helping to schedule onsite interviews and moving candidates through the pipeline. As the first point of contact for many candidates, you'll help ensure new potential recruits have a positive experience with us. You'll play a key role in helping Anthropic assemble a talented staff to help us build reliable, interpretable and steerable AI systems. In collaboration with our recruiting team, you'll continuously improve our recruitment processes and candidate experience.

Responsibilities:

• In partnership with our recruiters, regularly schedule a high volume of candidate interviews, debriefs, and reference checks. Navigate complex scheduling scenarios to coordinate availability across multiple stakeholders
• Act as the primary point of contact for candidates, communicating externally with a warm and informative tone to provide a high-touch candidate experience. Ensure candidates feel supported and informed throughout their journey
• Support and suggest improvements to our recruitment processes in collaboration with other team members in often ambiguous situations. Identify opportunities to enhance efficiency and candidate satisfaction
• Drive the creation and implementation of new candidate experience programs and recruitment initiatives that enhance Anthropic's talent acquisition efforts and support the company's scaling hiring needs.

You may be a good fit if you have:

• 2+ years of experience in a high volume scheduling role, preferably in a recruiting or talent acquisition environment
• A passion for creating an exceptional candidate and hiring manager experience
• Excellent communication skills, especially a knack for writing friendly, informative emails that build rapport and convey information clearly
• The ability to excel in a fast-paced environment, where you are frequently responding to questions, requests, or other new action items
• A love of feedback and comfort both requesting and providing feedback to your colleagues
• Proactive problem-solving skills in ambiguous situations with the ability to quickly generate multiple potential solutions to challenging problems
• Experience acting as a strategic partner to Recruiters, helping them see around corners and suggesting improvements to their processes
• An interest in Anthropic's mission and our deep commitment to AI safety in research and product development

About the Role:

Anthropic launches products at lightning speed and many of them grow at an unprecedented pace, too. For no product is this more true than Claude Code,  the fastest-growing software product in history. That said, speed of adoption is not the same as depth of adoption. We’re building a team of Technical Specialists to drive meaningful adoption breadth and depth in our most strategic customers. We’ll do this through delivery of high-quality technical engagement and enablement in the customer’s ~ 90 days before and after contract signature.  

As a Technical Specialist, you’ll largely engage with customers post-sale. Once an account’s implementation set-up is complete, you’ll convert bottom-up developer passion into org-wide meaningful adoption through bespoke enablement tailored to the customer's stack, repos, and workflows and focused upon deep adoption of proprietary Claude capabilities, which we know drive stickiness.

You'll also engage in strategic pilots before signature — partnering with Sales, Applied AI, and the customer's engineering leads to scope the pilot, run the enablement, and instrument the success criteria that close the deal. Carrying that context from pilot into post-sale is what makes adoption stick.

This is not a technical implementation role — that work sits with our Implementation Specialists. You'll spend your time in front of developers launching Claude Code, department leaders adopting Cowork, on stage at customer events and Anthropic builder summits, and in Claude Code and Cowork, building the demo apps and reference implementations that prove what's possible.

You’re the kind of person engineers want to grab coffee with after your workshops — credible because you can open a terminal in the meeting and actually drive the tool, exciting because you've thought hard about how agentic AI changes how software gets built, and useful because you can answer the next three questions a senior platform engineer is about to ask about security, scale, or agent behavior.

What You'll Do:

Drive end-user excitement inside enterprise accounts (primary focus)

• Design and deliver customer-specific enablement programs — workshops, office hours, "build your first agent" labs, role-based curricula for engineering, data, platform, security, and knowledge-worker audiences

• Drive deep adoption of proprietary Claude Code capabilities that make our tools sticky (subagents, hooks, MCP servers, headless mode, managed settings) tailored to the customer's stack, repos, and actual workflows (CI/CD, IDE integration, source control, secure coding, agentic pipelines)

• Enable and excite champions and AI Center of Excellence leads inside customer orgs, arming them to scale the motion without you in the room

Support strategic pilots with pre-sales technical enablement

• Partner with Account Executives, Applied AI, and customer engineering leads on pilots for strategic accounts

• Carry pilot context into post-sale engagement so the customer’s experience is seamless and deeply focused upon their unique needs

Run hackathons and builder events that create lasting momentum

• Design, scope, and run on-site and virtual hackathons inside customer organizations

• Bring the playbook: themes, judging rubrics, starter kits, prize structures, post-event follow-through that turns hackathon prototypes into shipped products

• Partner with Anthropic Marketing and Events to amplify the best work from customer hackathons externally where appropriate

Build the demos, content, and reference implementations that sell themselves

• Build production-quality demo apps, reference architectures, and code samples on the Claude Developer Platform, Claude Code, and Claude Enterprise (including Cowork) — using the products daily yourself as core infrastructure

• Create technical content — tutorials, blog posts, recorded walkthroughs, internal "cookbooks" — tailored to enterprise developer audiences and their real workflows (CI/CD, IDE integration, secure coding, agentic workflows, multi-agent orchestration)

• Translate new product capabilities into field-ready content within days of release

Be the trusted technical voice in front of customers

• Deliver keynotes, technical talks, and live-coded demos at customer all-hands, internal AI summits, and Anthropic-hosted builder events

• Run "ask me anything" sessions with customer engineering organizations and engage credibly on architecture, prompting, agent design, evaluation, developer workflow, and the honest limitations of where AI coding tools are today

• Represent Anthropic with our customers' engineering communities and, where appropriate, the broader developer ecosystem

Partner across GTM and back to product

• Partner closely with Sales, Applied AI, and Customer Success to sequence engagements that compound (pilot → activation → adoption → value)

• Bring back signal from the field: what enterprise developers are asking for, where they're getting stuck, what would unlock the next leap in adoption, and feed it to Product and Engineering

• Contribute to the playbook: capture what works in pilots and post-sale enablement, share with peers, raise the floor across the team

You may be a good fit if you have:

• 3–7+ years in a customer-facing technical role — Solutions Architecture, sales engineering, developer relations, or technical consulting.

• You build, and you build with our products. You use Claude Code, the Claude Developer Platform, and Cowork as core infrastructure in your own work. You can ship a working demo over a weekend, steer an agent through a non-trivial task live, and have opinions about what's actually good.

• You can hold a room of engineers. You've delivered technical talks, workshops, or training to engineering audiences — platform engineers, ML/AI teams, security-minded enterprise architects — and you know the difference between a session that creates awareness and one that creates champions.

• Builder credibility. A career that includes meaningful time as a software engineer, founder, solutions engineer, developer advocate, or Solutions Architect. You've shipped code that other people have depended on.

• Pilot and evaluation experience. You've supported technical evaluations or pilots in an enterprise setting — scoping, enablement, handling the security/admin/scale conversations without escalating everything to product.

• Strong written and visual communication. Tutorials, decks, code comments, and Slack threads that people actually read.

• Project management instincts. You can run a multi-week activation plan — or a pilot against a defined success metric — without dropping the ball.

• Willingness to travel. Regular travel for on-site enablement, pilots, hackathons, and customer events. Some evenings and weekends around major events.

• Deep enthusiasm for AI with hands-on experience building with LLMs and an instinct for how this technology should be used responsibly inside large organizations.

Data Scientist, Developer Productivity

About the role

As part of our growing Data Science and Analytics team, you'll play an instrumental role in Anthropic's mission of building safe and beneficial AI by driving data-informed decision making across the company. This role sits at the intersection of data science, developer experience, and AI tooling — and offers the unusual opportunity to study frontier AI usage from the inside, with the builders themselves as your users.

You'll define how Anthropic understands and improves developer productivity — both through classic software engineering effectiveness measures and through the emerging challenge of understanding AI-augmented development workflows. You'll own the quantitative foundation for how Anthropic's engineers build: what slows them down, what accelerates them, where tooling investments pay off, and how AI-assisted development is changing the shape of engineering work. Your analyses will directly inform infrastructure priorities, tooling roadmaps, and how we think about scaling engineering output as Anthropic grows.

You've worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale.

Key responsibilities

• Define key metrics, build measurement frameworks, and maintain core reporting to evaluate developer productivity and engineering effectiveness
• Deep dive into product and user data to derive actionable insights, size opportunities, and influence roadmaps through clear recommendations
• Develop hypotheses and apply rigorous causal inference methods — controlled experiments, synthetic controls — to make actionable recommendations
• Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions
• Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes
• Present complex analyses and recommendations to both technical and non-technical stakeholders
• Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration as our products grow

Minimum qualifications

• Working expertise with Python and SQL
• Working expertise with data visualization tools
• Hands-on experience with experimental design, causal inference, statistical modeling, and A/B testing frameworks
• Strong written communication and presentation skills
• Track record of translating complex data into clear, actionable insights for both technical and business stakeholders

Preferred qualifications

• 7+ years of experience in data science or analytics roles
• Direct experience working with developer productivity, infrastructure, performance, or platform teams in rapidly scaling environments
• Deep understanding of distributed systems, cloud infrastructure, and performance engineering, with experience analyzing large-scale system metrics
• Experience applying experimental design and causal inference methods in high-scale technical environments
• Comfort with ambiguity and a track record of creating clarity and driving progress in fast-moving environments
• Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
• Passion for Anthropic's mission of building helpful, honest, and harmless AI

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

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 is bringing Claude to democracies worldwide, and we’re looking for startup-minded engineers to build out our public sector engineering team. Engineers in this role will be working across the stack to scale our products from 0 to 1 and beyond. 

While we’re looking for candidates with prior public sector experience, we are also excited about hiring product-minded engineers with a track record of building and scaling products. There’s no shortage of things to build, so startup experience will help in maintaining a sharp focus and plotting an optimal path forward. This role is full-stack and entrepreneurial: you’ll own projects such as building out deployments for new government customers, implementing products to better surface critical information, and working directly with customers to understand how we can best leverage and adapt Claude to power their workflows.

You’d be joining at an exciting inflection point where we are evolving past deployments of basic Claude access for the public sector and toward cutting-edge AI capabilities and a comprehensive public sector experience. The projects the team tackles enables governments to deploy AI applications for their most critical operations—from national security to public services. As the team continues to grow, our focus includes delivering solutions that directly influence how democratic institutions deploy and use advanced AI systems.

Core Responsibilities

• Build specialized AI applications and products for governments by developing deep understanding of their processes and workflows

• Take ownership of architecting new deployments and designing public sector specific features

• Collaborate closely with research on AI models for government applications and workflows

• Partner directly with government customers and internal go-to-market teams to translate requirements into technical and product roadmaps

• Design and build scalable systems for deployment, user management, and administrative controls

• Create clarity and technical direction in a fast-moving environment with unique constraints

You Might Be a Good Fit If You:

• Have 8+ years of experience as a full stack software engineer

• Experience integrating and working with AI/ML models and understanding their capabilities

• Strong technical background with proven success building and shipping enterprise or government-grade products

• Have excellent collaboration skills, with ability to work effectively across functions

Strong Candidates May Also Have:

• Startup experience, particularly in scaling products from zero to one

• Experience partnering with sales, customer success, and professional services teams to drive product adoption

• Experience delivering software to government networks

• Active federal security clearance (Secret or above)

This position requires verification of U.S. citizenship due to citizenship-based legal restrictions. Specifically, this position supports a United States federal, state, and/or local government agency customer and is subject to certain citizenship-based restrictions where required or permitted by applicable law. To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government clearance.

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 is seeking an exceptional Productivity Engineer to build intelligent systems that amplify our Sales and Sales Development organizations’ effectiveness. In this role, you'll develop Claude-powered automations, alerts, and scalable automations focused on top of funnel activities like lead process automation and prospecting intelligence. This position sits at the intersection of enablement, operations, and AI innovation—creating tools that support our sales teams and reduce the friction in the sales process. 

As the Productivity Engineer for top of funnel activities, you'll be responsible for building the infrastructure that accelerates lead response times, personalizes outbound prospecting, and creates intelligent routing and prioritization systems. This role offers the unique opportunity to architect the future of AI-powered sales processes by creating scalable systems that will define how frontier AI technology enhances early-stage pipeline generation in enterprise sales environments.

Responsibilities

• Lead the development for Claude-powered productivity tooling focused on prospecting, lead qualification, and early-stage opportunity creation

• Architect intelligent alert systems that notify sales teams of high-intent signals, inbound leads, website activity, and optimal engagements

• Build sophisticated automations for lead routing, account research, personalized outreach generation, and follow-up sequencing that drive consistent top-of-funnel behaviors

• Design and implement a centralized data architecture that aggregates prospect intelligence from multiple sources (web traffic, intent data, firmographics, technographics) to create unified views for targeting and prioritization

• Leverage conversational intelligence and email engagement data to identify high-performing prospecting patterns and surface best practices for personalization, messaging, and timing

• Partner cross-functionally with Sales Operations, Sales Development Leadership, and Marketing to establish feedback loops that continuously improve lead quality scoring, routing accuracy, and the effectiveness of prospecting tools and enablement reinforcement

You may be a good fit if you have

• Engineering experience working with complex technologies, varied datasets, and building data-driven productivity solutions with AI

• Proven track record of developing and deploying automations focused on lead management, prospecting workflows, and early-stage sales processes

• Strong technical proficiency with APIs and experience integrating lead sources, Github, CRM systems, sales engagement platforms, and marketing automation tools

• Deep expertise with sales development tools 

• Experience building scalable lead routing, scoring, and prioritization systems in fast-growth B2B environments

• Strong understanding of prospecting methodologies, inbound/outbound sales motions, and the behaviors that drive top-of-funnel conversion

• Ability to translate sales development requirements into technical solutions and work effectively with both BDR teams and engineering stakeholders

• Excellence in program management with demonstrated ability to build initiatives from the ground up in ambiguous, fast-paced environments

• Experience in sales and/or sales development roles is highly valued 

About the role

Anthropic is seeking an exceptional GTM Engineer to build intelligent systems that amplify our Sales and Sales Development organizations’ effectiveness. In this role, you'll develop Claude-powered automations, alerts, and scalable automations focused on top of funnel activities like lead process automation and prospecting intelligence. This position sits at the intersection of enablement, operations, and AI innovation—creating tools that support our sales teams and reduce the friction in the sales process. 

As the GTM Engineer for top of funnel activities, you'll be responsible for building the infrastructure that accelerates lead response times, personalizes outbound prospecting, and creates intelligent routing and prioritization systems. This role offers the unique opportunity to architect the future of AI-powered sales processes by creating scalable systems that will define how frontier AI technology enhances early-stage pipeline generation in enterprise sales environments.

Responsibilities

• Lead the development for Claude-powered productivity tooling focused on prospecting, lead qualification, and early-stage opportunity creation

• Architect intelligent alert systems that notify sales teams of high-intent signals, inbound leads, website activity, and optimal engagements

• Build sophisticated automations for lead routing, account research, personalized outreach generation, and follow-up sequencing that drive consistent top-of-funnel behaviors

• Design and implement a centralized data architecture that aggregates prospect intelligence from multiple sources (web traffic, intent data, firmographics, technographics) to create unified views for targeting and prioritization

• Leverage conversational intelligence and email engagement data to identify high-performing prospecting patterns and surface best practices for personalization, messaging, and timing

• Partner cross-functionally with Sales Operations, Sales Development Leadership, and Marketing to establish feedback loops that continuously improve lead quality scoring, routing accuracy, and the effectiveness of prospecting tools and enablement reinforcement

You may be a good fit if you have

• Engineering experience working with complex technologies, varied datasets, and building data-driven productivity solutions with AI

• Proven track record of developing and deploying automations focused on lead management, prospecting workflows, and early-stage sales processes

• Strong technical proficiency with APIs and experience integrating lead sources, Github, CRM systems, sales engagement platforms, and marketing automation tools

• Deep expertise with sales development tools 

• Experience building scalable lead routing, scoring, and prioritization systems in fast-growth B2B environments

• Strong understanding of prospecting methodologies, inbound/outbound sales motions, and the behaviors that drive top-of-funnel conversion

• Ability to translate sales development requirements into technical solutions and work effectively with both BDR teams and engineering stakeholders

• Excellence in program management with demonstrated ability to build initiatives from the ground up in ambiguous, fast-paced environments

• Experience in sales and/or sales development roles is highly valued 

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

As the Enterprise Events Lead at Anthropic, you will own the development and execution of enterprise-focused events that accelerate pipeline, deepen customer relationships, and elevate Anthropic's brand presence with key enterprise audiences. You will be responsible for designing and delivering high-impact event experiences—from major industry conferences to hosted summits, and partner activations.

In this role, you'll collaborate closely with Sales, Partnerships, Product Marketing, and Creative teams to ensure every event touchpoint reinforces Anthropic's position as a leader in safe, frontier AI. You'll bring a strategic mindset grounded in data, a talent for flawless execution under pressure, and the ability to translate complex enterprise goals into compelling in-person and hybrid experiences. This is a high-visibility role with significant cross-functional impact, ideal for someone who thrives at the intersection of strategy and logistics in a fast-moving environment.

Responsibilities:

• Lead the development and execution of enterprise events, aligning programs to pipeline generation, account engagement, and brand objectives
• Manage a team of full time and contracted employees
• Conceptualize and produce hosted events such as executive roundtables, customer summits, and intimate dinners that support account-based marketing goals
• Collaborate with Sales and Partnerships teams to optimize meeting programs, briefing schedules, and on-site engagement strategies at events
• Partner with Creative Studio on experience design, ensuring Anthropic and Claude brands are represented consistently and compellingly
• Manage end-to-end event logistics including vendor relationships, budgets, contracts, staffing plans, and timelines
• Develop pre-event and post-event communications, including "Know Before You Go" guides, staff and speaker training, and attendee follow-up plans
• Establish and track event KPIs—including lead generation, pipeline influence, meeting volume, and attendee engagement—to measure ROI and inform future strategy
• Build scalable event processes, playbooks, and documentation to support Anthropic's growing event portfolio
• Manage relationships with external event agencies, vendors, and venue partners
• Travel on-site to events to provide hands-on logistics management and ensure seamless execution
• Drive continuous improvement through post-event analysis and stakeholder feedback

You may be a good fit if you:

• Have 18+ years of experience in enterprise event marketing, field marketing, or a related role, ideally at a high-growth B2B technology company
• Have a proven track record of executing large-scale conferences, trade shows, and hosted executive events that drive measurable business outcomes
• Are highly organized with exceptional project management skills and the ability to manage multiple complex events simultaneously
• Have experience partnering with enterprise sales teams to align event programs with pipeline and revenue goals
• Are a clear, effective communicator who can collaborate across functions—from Creative and Marketing to Sales and Executive leadership
• Have strong budget management experience, including vendor negotiation and contract management
• Are comfortable with data and analytics, using event metrics to optimize programs and demonstrate ROI
• Thrive in fast-paced, ambiguous environments and can adapt quickly when priorities shift
• Are willing and excited to travel regularly (approximately 40% of the time) for on-site event execution
• Have a genuine interest in AI and care about ensuring that transformative AI systems are developed and deployed responsibly

Strong candidates may also:

• Have experience with event technology platforms (e.g., Splash, Cvent) 
• Have experience building an enterprise events function or program from an early stage
• Bring a strong network of event industry contacts, including venues, production agencies, and AV partners
• Have experience with account-based marketing (ABM) strategies and how events fit within a broader demand generation ecosystem

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

About the role

As a GTM Strategy & Operations Business Partner supporting the AMER Enterprise organization, you will work closely with sales leadership to be a deep expert in a critical segment of our fastest-growing business. This role supports the AMER Enterprise team, one of Anthropic's largest and most strategically significant commercial organizations, and will partner directly with executives to drive strategic analysis, operational efficiency, and growth initiatives across emerging and developing verticals while supporting critical global strategic initiatives.

This includes segment analysis, facilitating operating cadences and powering business reviews, improving operational efficiency, driving strategic initiatives, and supporting the rapid evolution of our sales motions and organization.

We're building for a future where AI dramatically amplifies what strategy teams can accomplish. We're hiring people with the technical depth, business judgment, and executive potential to operate at that frontier — leveraging AI to eliminate routine work and redirect energy toward the strategic and creative challenges that move the business. This role will evolve rapidly, and we need someone with the ceiling and ambition to evolve with it.

Responsibilities:

Strategic Analysis, Operations & Planning

• Partner with Global and AMER Enterprise segment leaders to analyze and refine segment-specific strategy including territory planning, resource allocation, performance to plan, and growth initiatives

• Support development of targeted strategies across different customer segments and verticals based on their unique characteristics, product-market fit trajectories, and needs

• Maintain excellence through business reviews and operating cadences to help achieve company revenue targets and strategic objectives

• Be audible-ready about GTM efforts and a deep expert in your segment's book of business and trends with the ability to cut right to what matters for varying audiences from IC to executive

Data-Driven Decision Support

• Analyze sales performance metrics and develop insights to optimize segment performance and improve efficiency using SQL, R, or Python to query, model, and visualize data at scale

• Leverage Claude to its full capability

• Partner to create, evolve and maintain reporting mechanisms, using data to go from "what" to "why"

• Synthesize tangible, strategic recommendations based on go-to-market motions, deal outcomes, partner and customer feedback, and product opportunities

• Build and maintain dashboards, models, and ad hoc analyses in spreadsheets and BI tools with mastery-level proficiency

Go-to-Market Execution

• Develop and maintain use case frameworks to capture and standardize how customers derive value

• Support multiple teams and executives in leveraging insights for new deals, expansions, and retention strategies

• Partner with GTM teams to evolve and refine sales motions and best practices across segments and regions

Executive Stakeholder Management

• Serve as a trusted strategic advisor to senior and executive stakeholders across the GTM organization, delivering insights and recommendations with clarity, conviction, and composure

• Navigate high-stakes conversations with intense, demanding executives — maintaining poise under pressure while delivering candid, well-supported perspectives

• Build deep credibility through consistent follow-through, proactive communication, and the ability to challenge assumptions respectfully when the data warrants it

• Translate complex analyses into executive-ready narratives that drive decisions, managing up effectively across multiple senior leaders with competing priorities

Cross-Functional Collaboration

• Work closely with Revenue Operations, Sales Enablement, Strategic Finance, and Product teams to drive initiatives and elevate excellence in course of business

• Support coordination between AMER Enterprise sales segments and partnership teams

• Help prepare materials for executive reviews and planning sessions

You may be a good fit if you have:

Must-Haves

• Deep alignment to Anthropic’s mission

• 5+ years of experience in sales strategy, revenue operations, management consulting, or GTM operations

• Proficiency in SQL or R — you can independently write queries, build models, and extract insights from large datasets without relying on others

• Mastery of spreadsheet tools and data (Google Sheets / Excel) — pivot tables, complex formulas, data modeling, and scenario analysis are second nature to you

• Strong analytical skills with the ability to translate data into actionable insights and compelling executive narratives

• Deep experience with GTM systems like Salesforce and business intelligence tools (Looker, Tableau, etc.)

• Proven executive stakeholder management skills — you have a track record of presenting to and influencing C-suite and VP-level leaders in high-intensity environments.

• An ability to pull signal through noise and an internal drive to create clarity. You strive for simplicity as the most elegant solution to complex situations.

• A demonstrated ability to build trust with and influence a variety of stakeholders, including colleagues and other members of the GTM Strategy and Revenue Operations team

• A healthy balance of idealism with pragmatism and the highest internal bar for excellence. You have been accountable for the results of your recommendations.

• Track record of driving forward high-growth sales organizations

• Disciplined project management and exceptional communication and interpersonal abilities

• A desire and readiness to do the best work of your career

• Bachelor's degree required; MBA or advanced degree preferred

Preferred

• Direct experience in a commercial role (pre-sales, customer-facing, partnerships, founder, etc.)

• Experience in both large Enterprises in technology, finance or professional services, in addition to fast-paced startup building

• Experience with AI/ML companies and consumption business models

• Prior experience building frameworks for sales use cases or value propositions

• Background in scaling sales organizations through 2-3x+ growth periods

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

Every time Anthropic releases a model, we publish a system card: a long-form technical document that describes the model's capabilities, safety properties, evaluation results, and the reasoning behind our deployment decisions. System cards are some of the most consequential and widely read documents we produce, and they are one way we hold ourselves publicly accountable for the safety claims we make.

We're hiring a Research Operations Specialist to help own system card production. You'll work embedded with research and safety teams through each launch, coordinating contributions from dozens of researchers, holding the schedule and the open-threads list, and making sure the document ships on time as a single, accurate, internally consistent whole. Along the way you'll do real editorial work: turning results and researcher notes into clear, honest prose and pushing back when an explanation doesn't hold together.

System cards sit within a wider family of external safety artifacts, including risk reports and Responsible Scaling Policy updates. Part of this role is keeping the system card consistent with those documents so that Anthropic's public safety story reads as one coherent account rather than several.

This role sits in Research Operations and works closely with Alignment, Safeguards, Frontier Red Team, and capabilities research. The core of the job is part project management, part translation: keeping a complex, many-author, hard-deadline document on track while making frontier safety research legible to researchers, policymakers, journalists, and the public — without sacrificing precision.

Key responsibilities:

• Drive system card production end to end — own the timeline, the contributor list, the open-threads tracker, and the definition of done for each launch
• Coordinate dozens of contributors across Alignment, Safeguards, Frontier Red Team, Interpretability, and capabilities; chase drafts, resolve differences of perspective, seek ground truth, and run final document beautification
• Edit, and sometimes write, content; work directly with researchers to turn their results, notes, and plots into clear, scientific, non-marketing prose and maintain Anthropic's voice across sections drafted by many different people
• Guard accuracy and consistency; catch terminology drift, claims that subtly contradict each other, and discrepancies between internal communications and system card drafts
• Keep the system card aligned with related artifacts; track what's being said in risk reports, RSP disclosures, and other safety documentation so the system card stays consistent with them, and flag conflicts early
• Improve the process between launches; build and maintain templates, style guidance, contributor guides, checklists, and reusable section scaffolds so each cycle starts from a stronger baseline
• Pick up other research-adjacent operations and writing, such as internal research summaries, release notes, and documentation that helps research leadership communicate clearly

Minimum qualifications:

• Strong project management and execution skills; able to track dozens of open threads to closure during compressed launch periods with many moving parts and many owners
• Demonstrated ability to coordinate and influence without direct authority, building trust while chasing drafts and giving constructive editorial feedback
• Excellent technical writing skills; able to take dense, jargon-heavy source material and produce prose that is precise, honest, and readable by a smart non-specialist
• Comfort working closely with researchers; able to read an evaluation results table, ask the right clarifying questions, and push back when an explanation doesn't hold together
• Working knowledge of large language models at a conceptual level, including fluency with vocabulary such as pretraining, RLHF, context windows, evals, and red-teaming
• Data communication literacy; able to identify how a chart or table could be made clearer and more accurate
• High integrity and a genuine sense of accountability around producing documents that hold Anthropic publicly responsible for its safety claims

Preferred qualifications:

• Familiarity with AI safety, AI policy, alignment research, evaluation methodology, or the RSP landscape beyond baseline LLM knowledge
• Background in science communication, research publishing, or technical journalism
• A track record of shipping long-form technical documents: research reports, whitepapers, technical standards, regulatory filings, or science journalism
• Experience with safety, risk, or compliance documentation such as regulatory submissions, safety cases, security disclosures, or clinical/scientific reporting
• An eye for visual communication and experience shipping polished, on-brand documents
• Light scripting or tooling ability (enough to automate a formatting check or wrangle a spreadsheet)

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

We're looking for a Manager, Commercial Counsel, GTM to help lead our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter. In this role, you'll support our enterprise technology and startups Go-to-Market teams, handling enterprise agreements and customer negotiations, as well as team growth and scaling initiatives. 

This is an excellent opportunity for a seasoned attorney to help lead and grow the commercial legal team while contributing directly to responsible AI development.

Responsibilities

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales agreements with enterprise technology customers and startups.

• Partner closely with Sales and Go-to-Market leadership and teams to support deal velocity and provide practical legal guidance

• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements

• Manage a team to support enterprise technology and startups segments

• Identify and escalate legal risks appropriately while supporting business momentum

• Stay current on legal developments affecting AI technologies

Minimum qualifications

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

• Experience drafting and negotiating commercial contracts, SaaS agreements, or technology transactions

• Demonstrated people management experience, including hiring, developing, and leading attorneys or legal professionals

• Clear written and verbal communication skills, including the ability to translate legal concepts for non-lawyer stakeholders

Preferred qualifications

• 8+ years of legal experience, with substantial time spent on commercial contracts, SaaS agreements, or technology transactions

• Active membership in the California state bar

• Experience leading legal teams through high-growth phases at technology companies

• Experience navigating multi-stakeholder agreements involving technical and policy considerations

• Curiosity about AI technology and AI policy, and a commitment to responsible AI development

• A collaborative, low-ego approach to working with colleagues and external partners

• A "doer" attitude—willingness to roll up your sleeves and pitch in where needed- 

• Comfort in fast-paced environments with shifting priorities, and a willingness to pitch in across what the team needs

Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco 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:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

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)
• Python or Rust

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
• 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

Representative projects across the org:

• 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

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

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 engineers who can navigate these platform differences, build robust abstractions that work across providers, and make smart infrastructure decisions that keep us 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 and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms
• Design 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 and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads
• Optimize inference cost and performance across providers—designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region
• Contribute to inference features that must work consistently across all platforms
• 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
• Have strong interest in inference
• 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 self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work
• Pick up slack, even when it goes outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Strong familiarity with LLM inference optimization, batching, caching, and serving strategies
• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators
• Background designing and building CI/CD systems that automate deployment and validation across cloud environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

About the role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments.  We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

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)
• Python or Rust

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
• 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

Representative projects across the org:

• 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