Anthropic

Analyst

• Build and execute enforcement workflows that keep our products safe
• Focus on detecting and mitigating potential harm
• Design and architect automated enforcement systems and review workflows
• Partner with Engineering and Data Science teams to optimize detection models
• Review flagged content to drive enforcement and policy improvements
• Enforce usage policies with a focus on detecting and mitigating potential harmful use of AI systems
• Work with Legal, Public Policy, and Privacy stakeholders
• Support the Safeguards policy design team by providing detailed feedback

Safeguards Enforcement Analyst – Age-Appropriate Design

Research Engineer

• Design and run new evaluations of Claude's capabilities — reasoning, agentic behavior, knowledge, safety properties — and produce visualizations that make the results legible to researchers and decision-makers
• Build and harden the distributed eval execution platform so hundreds of evals run reliably against checkpoints throughout production RL training runs
• Own the dashboards researchers and leadership use to monitor model health during training, improving signal-to-noise, reducing latency, and making regressions impossible to miss
• Debug anomalous eval results mid-training-run, determine whether the cause is a model change or an infrastructure issue, and communicate the answer clearly under time pressure
• Improve the tooling, libraries, and workflows researchers use to implement and iterate on evaluations
• Partner with research teams across the full lifecycle of a new capability — from defining what to measure to interpreting results as training progresses
• Run experiments to characterize how prompting, sampling, and scaffolding choices affect results on internal and industry benchmarks
• Communicate evaluations and their results to internal stakeholders and, where appropriate, external audiences

Research Engineer, Model Evaluations

Investigator

• Detect and investigate attempts to misuse Anthropic's AI systems for CBRN-E threats
• Conduct technical investigations using SQL, Python, and other tools
• Develop CBRN-E-specific detection capabilities
• Create actionable intelligence reports on CBRN-E attack vectors
• Conduct cross-platform threat analysis grounded in real threat actor behavior
• Collaborate with policy and enforcement teams for informed decisions
• Engage with external stakeholders including government agencies
• Inform safety-by-design strategies regarding AI technology misuse

Technical CBRN-E Threat Investigator

• Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations
• Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors
• Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs
• Conduct cross-platform threat analysis using open-source research, dark web monitoring, and internal data
• Implement systematic improvements to safety approach based on investigation findings
• Study trends to anticipate how AI systems could be misused
• Build and maintain relationships with external threat intelligence partners
• Work cross-functionally to build out threat intelligence program

Technical Cyber Threat Investigator

Full-stack Engineer

• Build and extend the systems that track, govern, and report on Anthropic's infrastructure assets
• Build durable, well-tested integrations with our financial and procurement systems
• Implement and maintain the compliance surface
• Build internal-facing UI for accounting, audit, and infrastructure teams
• Work closely with infrastructure teams responsible for managing fixed assets
• Partner with accounting, audit, tax, finance, and procurement teams
• Establish and document processes for asset onboarding, data quality, change management, and controls scoping

Staff Software Engineer – Infrastructure Asset Systems

• Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are
• Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases
• Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs
• Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it
• Detect and remediate account takeover
• Integrate with third-party identity verification and data enrichment vendors
• Create monitoring dashboards, alerts, and internal admin tooling
• Work closely with policy, enforcement, threat intelligence, and go-to-market teams to ensure access decisions are well-informed and consistently applied

Software Engineer, Identity & Access Controls

Designer

• Drive execution of Anthropic’s technical requirements for third-party datacenter delivery partners, ensuring design intent is consistently translated from BOD through construction documents.
• Define the design execution framework—deliverable requirements, review gates, and quality standards—for each partner engagement.
• Drive accountability for partner deliverable quality across milestones, evaluating deliverables for cross-discipline consistency and alignment to Anthropic’s requirements.
• Partner with external design teams and stakeholders to execute design document development and issuance across all project phases.
• Own the design change management process across projects, ensuring technical decisions are documented, resolved, and implemented through construction.
• Review and develop responses to contractor RFIs, maintaining design intent while accommodating field conditions.
• Own technical continuity across design, construction, commissioning, and turnover, driving alignment between internal leads on phase transition standards and acceptance criteria.
• Support project closeout and as-built documentation processes.
• Facilitate constructability review processes between design and construction teams, surfacing integration risks raised by discipline leads for resolution, maintaining alignment between design intent and field execution as conditions evolve.
• Drive risk identification and mitigation through partner QA/QC processes, across the design and construction lifecycle.
• Direct and supervise external partners and owners reps conducting site reviews, ensuring technical reports adequately capture design compliance and construction progress.
• Interface with internal stakeholders—construction execution, supply chain, facilities operations, and security—to align design solutions with technical and business objectives.
• Partner with internal teams to define infrastructure requirements and translate them into actionable design criteria for external partners.
• Identify and implement opportunities for process improvements, design optimization, and schedule/performance/cost tradeoffs.
• Oversee partner-led commissioning review, ensuring outcomes are documented against Anthropic's standards.

Data Center Design Execution Lead

• Set technical direction for the team, owning the architecture and roadmap for the shared runtime of the inference serving stack
• Own and evolve the accelerator-agnostic runtime
• Drive efficient accelerator usage across GPU, TPU, and Trainium
• Build the runtime's validation surface around partitioned builds
• Act as a technical counterpart to Anthropic's central Infrastructure org
• Mentor engineers on the team through design review and collaboration

Staff Software Engineer, Inference Runtime

Systems Engineer

• Own endpoint configuration as code, including MDM policies and scripts
• Operate the MDM platform including infrastructure as code
• Build patch management automation for good user experience
• Design zero touch provisioning for productive machines
• Manage software distribution across fleet
• Turn telemetry into policy and dashboards
• Collaborate with Security on compliance controls
• Serve as escalation tier for endpoint issues

IT Systems Engineer, Client Platform Engineer

Risk

• Build an integrated financial risk management framework spanning FX, commodity, rates, and counterparty risk
• Design, implement, and execute Anthropic's FX program, including exposure quantification, risk tolerance thresholds, policy development, and instrument selection
• Establish a commodity exposure strategy to support our growing compute portfolio
• Manage interest rate risk across the investment portfolio and any debt
• Design and operationalize a counterparty risk framework with documented limits and regular monitoring across a growing bank and asset manager footprint
• Run scenario planning and stress testing to understand how exposures evolve as the business scales
• Develop Treasury policies and controls, and deliver integrated financial risk reporting to the CFO

Head of FX, Risk

Procurement

• Drive commercial negotiations and Master Service Agreements for critical IT infrastructure such as networking equipment, fiber connectivity, compute hardware.
• Audit partner procurement schedules, ensure optimal allocation, and drive cost efficiency of supply in constrained markets.
• Implement frameworks for ensuring third-party datacenter partners adhere to commercial equipment terms and technical specifications.
• Develop global inventory strategy including warehousing, third-party logistics, buffer stock, and distribution models to accelerate time to market and improve availability
• Proactively monitor global supply chain volatility and execute contingency plans to avoid critical project delays.
• Translate technical roadmaps into equipment forecasts and procurement pipelines.
• Partner with Finance to optimize inventory strategy.
• Establish efficient return and replacement workflows with vendors to restore failed equipment quickly.
• Negotiate warranty terms and track vendor performance on RMA execution.

Data Center Strategic Sourcing Lead

Financial Planning and Analysis

• Own and optimize Anthropic's external investment program, including money market funds, bank deposits, and separately managed accounts
• Monitor external manager performance and maintain a manager bench with clear performance reporting
• Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity
• Develop and operationalize a capital planning framework across operating and strategic liquidity tiers
• Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls
• Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures

Head of Investments – Liquidity

• Architect and ship deployments that meet public sector compliance and security requirements, from FedRAMP to classified networks
• Build AI applications tailored to government workflows by developing deep understanding of how agencies actually operate
• Partner with research and safeguards teams to evaluate and improve Claude for government use cases
• Work directly with government customers and internal go-to-market teams to turn requirements into technical and product roadmaps
• Design scalable systems for deployment, user management, and administrative controls across constrained environments
• Create clarity and technical direction in a fast-moving environment with unique constraints

Staff Software Engineer, Public Sector

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products.
• Work directly with internal stakeholders — HR teams, recruiters, managers — to understand problems, gather feedback, and iterate quickly.
• Make product and architecture decisions independently in a low-structure environment.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

Staff Software Engineer – People Products

• Own significant parts of our stack end-to-end, from technical architecture through the unglamorous operational work that makes it succeed
• Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good
• Develop and improve QA frameworks to catch reward hacking and ensure environment quality
• Build interfaces that make collecting human data fast and painless for the people providing it
• Harden execution environments — sandboxing, snapshotting, tool coverage — so tasks hold up at training scale
• Embed with the teams and domain experts who use our systems day-to-day: design pipelines and evals with them, support them directly, and ship the improvements they need
• Work with operations, security, and compliance partners to roll our systems out to new users, and manage technical relationships with external data vendors