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

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 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:

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

Anthropic is seeking a Policy Counsel to support our public policy and legal initiatives at the intersection of AI technology and regulation. As a member of our legal team, you'll work cross-functionally to navigate emerging policy challenges and help build and advocate for frameworks that promote responsible AI development. This is an exceptional opportunity to tackle novel legal and policy questions while contributing directly to the future of AI governance.

Responsibilities

• Support the development of AI governance frameworks that align with evolving regulations, industry best practices, and global standards Monitor and analyze emerging legislative and regulatory developments related to AI
• Provide legal analysis and advice to the External Affairs team and other Public Policy stakeholders
• Partner with Public Policy and technical teams in developing practical policy guidance that is informed by a deep understanding of our products 
• Assist in drafting policy positions and proposals and advocacy materials

Minimum qualifications

• Law degree and qualification to practice law in a relevant EMEA jurisdiction
• Experience with policy, regulatory, or government affairs work, whether in government, at a technology company, a law firm, or a policy organization
• Strong written and verbal communication skills, including the ability to make complex legal and technical concepts accessible to non-legal audiences
• Strong analytical and problem-solving skills, with the ability to work through ambiguous policy questions

Preferred qualifications

• 6+ years of relevant legal experience
• Experience working on complex technology policy issues across AI/ML policy, data privacy, copyright, or technology regulation
• Familiarity with EMEA legislative and regulatory processes, including experience with EU or national-level advocacy
• Experience drafting policy positions, comment letters, or regulatory submissions
• Demonstrated ability to quickly understand AI concepts and translate them into policy contexts
• Interest in government affairs matters and a commitment to responsible AI development
• A collaborative, humble approach and the ability to work effectively across diverse teams
• Comfort working in a fast-paced environment while maintaining attention to detail

Role-specific policy: For this role, we expect all staff to be able to work from our London or Dublin 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

Partnerships are one of the most important ways Anthropic brings Claude to the enterprises that will define how AI is deployed at scale. We're hiring a leader to run Partnership Strategy & Operations for our International business — the markets outside North America, spanning UKI, EMEA, India, Japan, and the broader APAC footprint.

You'll be the strategic partner to International partnerships leadership: responsible for the regional GTM plan, the targets and the forecast, and the operating architecture that keeps the motion accountable. You'll also carry a horizontal mandate across the global Partnerships function, leading a small number of cross-regional initiatives that shape how the organization operates end-to-end.

This is a builder's seat. You'll set the strategic agenda for the region, shape GTM across heterogeneous markets, and establish the operating system that turns ambition into a funded, sequenced plan. Success looks like an International partner motion that is strategic and accountable, under your leadership and horizontal initiatives that raise the bar globally.

Key responsibilities

• Author the International Partnership GTM strategy and the commercial thesis for how the region contributes to the global plan
• Own the regional plan end-to-end: partner coverage, quota design, capacity modelling, and target-setting across markets
• Own the regional forecast -stage definitions, conversion economics, and forecast accuracy you stand behind
• Run the regional operating rhythm — weekly reviews, MBRs, QBRs, executive readouts — calibrated across time zones
• Codify the regional operating handbook: SOPs, runbooks, and escalation playbooks localized to market realities
• Lead cross-regional strategic initiatives that shape the architecture of the global Partnerships function (e.g., OKR design, investment cases, long-range planning inputs)
• Co-own executive reporting for Partnerships across regions — materials for GTM leadership, the CEO, and the Board that are honest, defensible, and sharp
• Maintain the global decision log and operating calendar: what's been decided, what it unblocks, and when the next forcing function hits

Minimum qualifications

• Experience in GTM Strategy & Operations, Revenue Operations, or Partner Operations at the regional or business-unit level
• Track record of building and owning regional GTM plans end-to-end across international markets, with direct experience in at least two of UKI, EMEA, India, Japan, or broader APAC
• Proficiency with the RevOps stack end-to-end — SQL, Looker or Tableau, and Salesforce or a comparable PRM
• Demonstrated ability to lead horizontal strategic initiatives across a commercial organization (e.g., OKR frameworks, investment cases, executive narrative)

Preferred qualifications

• 7+ years of experience in GTM Strategy & Operations, Revenue Operations, or Partner Strategy & Operations
• Experience as the partner to a regional or international sales or partnerships leader — trusted to carry the number, shape the agenda, and work through the hardest conversations
• Deep fluency in consumption or usage-based revenue businesses
• Strong grasp of the cross-geographic realities that break single-market playbooks: regulatory divergence, data residency, channel maturity, and partner economics by region
• Comfort adapting style and pace across business cultures, and building credibility with stakeholders in very different markets
• Strategy and operations experience inside a high-growth technology company
• A Startup or strategy consulting background paired with meaningful operating experience
• Experience preparing materials for Boards or other senior governance forums
• Working understanding of how indirect revenue models operate at scale — commercial mechanics, measurement challenges, and organizational dynamics
• Time spent in the enterprise AI, cloud, or developer infrastructure markets
• A bias for execution — hands-on, driven to ship, and energized by building rather than deliberating

About the role:

As a Sales Strategy & Operations Partner focused on the Industry segment, you'll be instrumental in driving revenue growth across key industry verticals by partnering with sales leadership to develop, refine, and execute industry-specific go-to-market strategies. You will serve as a trusted advisor and operational force multiplier, bringing deep B2B SaaS expertise to help teams achieve revenue targets while building scalable frameworks that drive industry-specific customer success.

Responsibilities:

Enterprise Strategy & Analysis:

• Partner with sales and regional leaders to develop gtm strategy, motions, country/ region prioritisation and sector focus and strategy. Refine industry-specific go-to-market strategies across key verticals (e.g., Financial Services, Healthcare, Technology, Retail, Manufacturing etc.)
• Identify Industry customer needs, pain points etc. and share feedback cross functionally to guide solution building across global teams such as product, engineering, finance, legal etc.  
• Build and maintain industry-specific value propositions, use cases, and sales playbooks
• Drive territory and account segmentation strategies based on industry characteristics and opportunity 
• Establish industry benchmarks and best practices to guide sales approach and prioritization
• Work with Finance on target setting, planning and bottom-up modeling

Go-to-Market Strategy & Execution:

• Develop comprehensive industry frameworks that standardize how customers in each vertical derive value from our solutions
• Drive quarterly, semi-annual, and annual planning cycles for industry-focused GTM segments
• Analyze industry-specific sales metrics and pipeline dynamics to develop proactive insights
• Partner with Account Executives to evolve sales motions and industry best practices based on vertical nuances
• Continuously evaluate market opportunities, competitive positioning, and whitespace within target industries

Cross-Functional Leadership:

• Lead collaboration across Strategy and RevOps, Sales Enablement, Strategic Finance, Product, and Marketing teams to ensure industry alignment
• Work with Product teams to communicate industry-specific feature requirements and market feedback
• Prepare executive-level materials including industry performance reviews, strategic planning sessions, and board updates
• Drive alignment across teams to ensure consistent execution of industry-specific go-to-market strategies
• Partner with Marketing on industry-focused campaigns, events, and thought leadership initiatives

Operational Excellence:

• Remove operational bottlenecks specific to complex industry sales cycles and compliance requirements
• Execute critical processes including strategic account transitions, industry-specific CRM configurations, and vertical market data management
• Optimize sales technology stack and ensure effective adoption of Salesforce and other sales tools
• Establish sales process methodology, qualification criteria, and stage definitions for consistent execution
• Ensure smooth operations across complex, multi-stakeholder sales motions typical in enterprise B2B software

You may be a good fit if you have:

Required qualifications:

• 10+ years of experience in B2B SaaS or enterprise software, with focus on sales strategy, revenue operations, industry consulting, or commercial roles
• Deep expertise in one or more enterprise industry verticals with proven track record of driving growth in those markets
• Strong analytical capabilities with demonstrated ability to convert complex industry data into actionable insights and strategy
• Direct experience in commercial GTM roles selling or supporting sales of B2B software solutions to enterprise customers
• Proven experience designing territories, setting quotas, and building variable compensation plans for enterprise sales teams
• Track record of building sales capacity models, productivity frameworks, and headcount planning processes
• Extensive experience with enterprise CRM systems (Salesforce required) and business intelligence tools
• Proven ability to influence and partner with C-level stakeholders and senior sales leadership
• Track record of developing industry-specific frameworks, sales plays, and value propositions
• Bachelor's degree in business, economics, or related field

Strong candidates may also have:

• Experience at high-growth B2B SaaS companies, particularly in industry-focused GTM or vertical sales roles
• Background in AI/ML, cloud infrastructure, or enterprise software companies serving multiple industries
• Track record of scaling sales organizations through 3x+ growth periods in B2B software, "including territory expansion and comp plan evolution" 
• MBA or advanced degree
• Experience building industry-specific go-to-market motions from scratch
• Track record of scaling sales organizations through 3x+ growth periods in B2B software
• Direct enterprise sales or sales engineering experience in complex, multi-stakeholder environments
• Experience with emerging technologies (AI, ML) in enterprise contexts
• Management consulting experience with focus on industry strategy or commercial excellence

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

About the role

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

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

Key responsibilities

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

Minimum qualifications

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

Preferred qualifications

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

About the role

Anthropic is seeking talented and experienced Software Engineers to join our Continuous Integration (CI) team within the Developer Productivity organization. The CI team is responsible for the infrastructure that enables hundreds of engineers to ship code safely and efficiently to production. By joining this team, you'll have a direct impact on the velocity and reliability of Anthropic's research and product development.

The CI team manages Anthropic's continuous integration system, which includes:

• CI infrastructure for automated testing and code quality assurance across our monorepo, designed to scale with rapid growth
• Test infrastructure that runs on Kubernetes clusters across multiple cloud providers, handling intelligent test selection, execution, and reporting for a large and complex test suite
• Merge queue management and complex branching strategies that ensure code quality at scale
• CI tooling and automation to improve developer productivity and reduce operational overhead

Responsibilities

• Design and build highly reliable, scalable CI infrastructure that supports thousands of daily builds across multiple cloud providers
• Develop intelligent test selection systems that reduce CI time while maintaining code quality
• Build and improve incident response automation, including cluster load shedding, automatic recovery, and observability tooling
• Improve test infrastructure reliability through flake detection, quarantine systems, and test state management

You may be a good fit if you

• Have 10+ years of relevant industry experience building and operating large-scale CI/CD systems
• Have deep experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar)
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration at scale
• Have excellent communication skills and enjoy supporting internal partners
• Care deeply about reliability and building systems that "never fail the same way twice"

Strong candidates may also have

• Experience with merge queues and branch management at scale
• Experience with test infrastructure, including intelligent test selection and flake management
• Experience building CLI tools and developer-facing services
• GitHub API and automation experience

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

About the role

Anthropic is seeking a Field Marketing Lead to build and scale our field marketing and demand generation capabilities across EMEA. As a founding member of our EMEA field marketing function, you'll establish the programs and infrastructure that drive pipeline and revenue growth across diverse European markets, while supporting our mission of ensuring safe and beneficial AI development.

This role requires a sophisticated understanding of B2B marketing with demonstrated success in field marketing and working account-based marketing teams to create a regional growth engine. You'll develop and execute comprehensive strategies that drive revenue growth in partnership with Sales, Segment Marketing, Product Marketing teams, creating compelling programs and flywheel motions that empower the EMEA Sales team to achieve their revenue targets.

EMEA represents both our biggest international opportunity and our most complex challenge—a region where data sovereignty requirements, diverse regulatory frameworks, and sophisticated local competitors demand a fundamentally different approach than what's worked in North America. You'll work closely with EMEA sales leadership, the global field marketing team, and cross-functional partners to ensure programs directly support revenue growth and strategic account advancement.

Responsibilities

• Build and lead the EMEA field marketing function, establishing scalable frameworks and processes from scratch in the region
• Drive field marketing initiatives across enterprise, while building scaled programs for startups, adapting strategies for diverse European markets and buying behaviors
• Create and implement field marketing programs including executive roundtables, customer events, industry conferences, partner programs, and ABM activations
• Partner closely with EMEA sales leadership to align field marketing programs with territory and account-specific goals that directly achieve pipeline and revenue goals
• Establish measurement frameworks including lead scoring, attribution models, and ROI reporting to demonstrate marketing's impact on revenue
• Evaluate and select premium third-party events that align with business goals and create high-impact activation strategies
• Collaborate with global Field Marketing and Segment Marketing teams to ensure EMEA programs align with company-wide strategy while meeting local market needs
• Coordinate with EMEA Solutions Marketing and Product Marketing to ensure consistent messaging and positioning in all regional programs
• Manage regional resources including building relationships with key partners, vendors, and industry organizations across EMEA
• Build and manage a regional field marketing budget with strong financial discipline and ROI focus
• Drive continuous improvement through post-program analysis, stakeholder feedback, and data-driven optimization

You may be a good fit if you

• Have 10+ years of B2B enterprise marketing experience with blended expertise in field marketing, account-based marketing, demand generation in EMEA markets
• Demonstrate deep understanding of B2B enterprise sales cycles and buying processes - experience working within software companies is required for this position
• Have a track record of successfully building and scaling field marketing and demand generation programs from the ground up
• Have strong analytical skills and data-driven approach to program optimization and attribution
• Have demonstrated success in contributing to significant revenue goals through integrated marketing initiatives
• Possess international marketing experience and understanding of regional market dynamics across European markets
• Are a proven self-starter who can build and run sophisticated programs with small teams in fast-paced startup environments
• Have strong project management skills with experience managing complex, multi-country programs simultaneously
• Possess exceptional budgeting and financial management capabilities with experience managing substantial field marketing budgets
• Demonstrate cultural awareness and ability to adapt strategies for diverse European markets
• Excel at cross-functional collaboration, particularly with sales teams and executive stakeholders
• Are comfortable with ambiguity and thrive in fast-paced, evolving environments with a bias for thoughtful action

Strong candidates may also

• Have experience marketing AI/ML or complex technical products to enterprise customers
• Have experience building and leading demand generation teams in EMEA
• Have knowledge of account-based marketing (ABM) strategies and execution
• Have experience at high-growth technology companies such as Okta, Splunk, Snowflake, or Workday
• Have previous experience as a first field marketing hire in a new region
• Have fluency in multiple European languages
• Have understanding of EMEA regulatory and compliance requirements for marketing activities
• Have experience evaluating and activating at premium third-party events strategically, including hospitality management at high-end venues and cultural experiences

Travel requirements

Role-specific policy: For this role, we expect all staff to be able to work from our London office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. This role also requires approximately 40-50% travel within EMEA for field programs, customer engagements, events, and stakeholder meetings, with additional travel to Anthropic offices for alignment and planning sessions.

Deadline to apply: None. Applications will be reviewed on a rolling basis, starting in the new year. 

About the role

As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
• Track record of selling technical products in competitive markets
• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
• Passion for making powerful technology safe and societally beneficial

As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. 

You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise.

Responsibilities

• Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
• Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
• Provide white glove deployment support for Anthropic products in enterprise environments.
• Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
• Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
• Travel frequently (25-50%) to customer sites to build in person with customers.
• Be a champion for Anthropic’s mission in the field.

You May Be a Good Fit If You Have

• 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
• Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications 
• High agency with an ability to navigate ambiguity present in complex organizations.
• High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
• Passion for advancing safe, beneficial AI systems through creative technical applications.
• Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
• A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
• Experience with enterprise IT systems and/or AI deployment patterns is a plus.

About the role

As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor to the UK and Northern Europe public sector — with a primary focus on UK Central Government departments, executive agencies, and arm’s length bodies, and a reach extending across devolved administrations, local government, the NHS, and Northern European public sector markets. You will help these organisations understand the value of Claude and paint the vision for how they can successfully integrate and deploy Claude into their technology estates to modernise operations, improve policy delivery, and transform citizen services. You’ll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, Engineering, and Partnerships teams, you’ll guide customers from initial technical discovery through successful deployment. You’ll leverage your expertise to help customers understand Claude’s capabilities, develop evals, and design scalable, compliant architectures that maximise the value of our AI systems within the constraints that public sector organisations operate under.

Responsibilities

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between departmental outcomes, policy objectives, and technical implementation.

• Serve as the primary technical advisor to public sector customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success.

• Support customers building with Claude Code, the Claude API, and Claude for Enterprise.

• Create and deliver compelling technical content tailored to different audiences. You will need to span the gamut from technical deep dives for engineering and delivery teams up to business-value conversations with senior civil servants and C-suite executives (Permanent Secretaries, Directors General, SROs, CDIOs).

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack, with alignment to NCSC guidelines, Cyber Essentials Plus, the Government Security Classifications framework, the Technology Code of Practice, and the Service Standard.

• Help customers develop evaluation frameworks to measure Claude’s performance for their specific use cases.

• Identify common integration patterns across the UK public sector and contribute insights back to our Product and Engineering teams.

• Travel frequently to customer sites across the UK (and occasionally Northern Europe) for workshops, technical deep dives, and relationship building.

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.

You may be a good fit if you have

• Prior experience working with UK public sector organisations — particularly UK Central Government departments, executive agencies, or arm’s length bodies.

• Active UK Security Check (SC) clearance, with willingness and eligibility to be put forward for higher levels of clearance (e.g. DV) where customer engagements require it.

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.

• Experience navigating complex public sector buying cycles involving multiple stakeholders — commercial teams, digital and technology leadership, policy owners, and SROs.

• Familiarity with UK public procurement routes and frameworks is preferred — e.g. G-Cloud, the AI Dynamic Purchasing System (AI DPS), Digital Outcomes, and Crown Commercial Service agreements — and experience working with systems integrators and delivery partners within these frameworks.

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including senior civil servants, C-suite executives, engineering, and IT teams.

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders.

• Experience designing scalable cloud architectures and integrating with enterprise systems.

• Comfortable with Python.

• Familiarity with common LLM frameworks and tools, or a background in machine learning or data science.

• Excitement for engaging in cross-organisational collaboration, working through trade-offs, and balancing competing priorities.

• A love of teaching, mentoring, and helping others succeed.

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders.

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems.

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

About the role

As the Manager of the International Partnerships, Applied AI, Solutions Architect team at Anthropic, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) through our Global and Regional System Integrators (GSIs/RSIs), cloud partners (AWS and GCP), and strategic technology partners across international markets. Based in London, you will lead and grow a team of Partner Solutions Architects, establishing Anthropic's technical partner ecosystem across EMEA and beyond.

You'll be responsible for leading & growing the International Partnerships Applied AI team, establishing processes and best practices for partner-led pre-sales engagements, helping each team member achieve success, high productivity, and career growth, and representing Anthropic as a technical lead on some of its most important international partnerships.

In collaboration with the Sales, Partnerships, Product, and Engineering teams, you'll help partners incorporate leading-edge AI systems into their practices, solutions, and customer engagements. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to accelerate indirect revenue, enable partner AI practices, and execute on long-term international GTM strategy, while maintaining our best-in-class safety standards.

Responsibilities

• Team Leadership & Development: Manage and mentor a team of Applied AI, Partner Solutions Architects, providing both technical guidance and career development. Set goals and reviews for your team, promoting growth and output

• Strategic Technical Partnership: Serve as the senior technical thought partner to the Anthropic international GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities across international markets

• Partner Ecosystem Enablement: Embed your team with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues

• Joint Solution Development: Lead your team in collaborating with partners to identify high-value industry-specific GenAI applications, develop joint solutions, and codify reference architectures / best practices to accelerate time to deployment across international markets

• Customer Deal Support: Own the technical portions of partner-led pre-sales engagements, ensuring your team intervenes directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance

• Partner Ecosystem & Events: Represent Anthropic at international partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions

• Cross-Functional Collaboration: Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes. Partner closely with your aligned GTM leadership to co-build international partner strategies

• Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to international partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy

• Thought Leadership: Contribute to thought leadership through conference presentations, webinars, and technical content creation focused on the international partner ecosystem

You may be a good fit if you

• 7+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager

• 5+ years of technical go-to-market management experience, specifically managing pre-sales or partner-facing technical teams across EMEA, APAC, and other international regions.

• Track record of successfully building and scaling partnerships with GSIs (e.g., Accenture, Deloitte, WPP, TCS, Infosys) and/or cloud providers (AWS, GCP) to solve complex technical challenges across international markets

• Experience with the unique dynamics of partner-led selling and delivery, including indirect revenue models and partner enablement at scale

• Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams, and partner leadership

• Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment

• Have excellent communication, collaboration, and coaching abilities

• Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments

• Strong executive presence and ability to foster deep relationships with technical leaders and partner engineering teams

• Have at least a high-level familiarity with the architecture and operation of large language models and/or ML in general

• Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems

• A love of teaching, mentoring, and helping others succeed

• Have a passion for making powerful technology safe and societally beneficial

• Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks

Strong candidates may have

• Partner SA Leadership at Scale: 5+ years leading partner-facing solution architect teams through hypergrowth, with direct experience managing both senior SAs and developing junior talent in complex partner ecosystem environments

• AI/ML Technical Depth + Executive Engagement: Hands-on experience with AI/ML platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders and partner leadership in large-scale technical evaluations and joint GTM motions

• GSI Practice Building: Experience helping GSIs or consultancies build or scale their AI/ML practices, including enablement programs, certification paths, and joint solution development

About the role

The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.

Responsibilities

• Build and improve the RL training infrastructure that researchers depend on day-to-day
• Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
• Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
• Own the reliability and performance of research runs end-to-end
• Contribute to design decisions that shape how Anthropic does RL at scale

You may be a good fit if you

• Have strong software engineering fundamentals and a track record of building performant, reliable systems
• Have worked on ML infrastructure, distributed systems, or research tooling
• Care about enabling other people's work and find leverage through platforms rather than individual experiments
• Are comfortable operating across the stack, from low-level performance work to RL algorithms
• Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego

Strong candidates may also have

• Experience with large-scale distributed training (RL, pre-training, or post-training)
• Familiarity with JAX, PyTorch, or similar ML frameworks
• A track record of operating at the edge of research and infra in a fast-moving environment

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

About the role

The Safeguards team is responsible for the systems that detect, review, and act on misuse of Anthropic's models — work that sits at the very centre of our mission to develop AI safely. Within Safeguards, the Foundations team builds the platforms, infrastructure, and internal tools that the rest of the organisation depends on to do this well.

We are looking for a software engineer to own and extend the internal tooling that powers human review — the case management, labelling, investigation, and enforcement interfaces our analysts and policy specialists use every day. These are back-office tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behaviour, make sound enforcement decisions, and feed signal back into model training. You'll work closely with Trust & Safety operations, policy, and detection-engineering teams to turn messy operational workflows into well-designed, durable software.

This is a hands-on, full-stack role for someone who enjoys building products for internal users, sweats the details of usability and correctness, and wants their engineering work to have a clear line to real-world safety outcomes.

Responsibilities

• Design, build, and maintain the internal review and enforcement tooling used by Safeguards analysts — including case queues, content review surfaces, decision/audit logging, and account-actioning workflows
• Understand user workflows and establish tooling for well processes that may be distributed across a number of tools and UIs
• Develop the ‘base layer’ of reusable APIs, data storage, and backend services that let new review workflows be stood up quickly and safely
• Partner with operations and policy teams to understand reviewer pain points, then translate them into clear product improvements that reduce handling time and decision error
• Integrate tooling with upstream detection systems and downstream enforcement infrastructure so that flagged behaviour flows cleanly from signal → human review → action
• Build in the guardrails that sensitive internal tools require: granular permissions, audit trails, data-access controls, and reviewer wellbeing features (e.g. content blurring, exposure limits)
• Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality so the team can see what's working
• Contribute to the Foundations team's shared platform and on-call responsibilities

You may be a good fit if you

• Have 4+ years of experience as a software engineer, with meaningful time spent building internal tools, operations platforms, or back-office products
• Are comfortable using agentic coding tools (e.g. Claude Code) as a core part of your workflow, and can direct them to ship well-tested, production-quality software at a high cadence without lowering the bar (our stack is mostly React/TypeScript and Python)
• Take a product-minded approach to internal users: you work with the people using your tools, watch where they struggle, and fix it
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Communicate clearly with non-engineering stakeholders and can explain technical trade-offs to operations and policy partners
• Care about the societal impacts of your work and want to apply your engineering skills directly to AI safety

Strong candidates may also

• Have built tooling in a trust & safety, content moderation, fraud, integrity, or risk-operations setting
• Have experience designing case-management or workflow systems (queues, SLAs, escalation paths, audit logs)
• Have worked with sensitive data and understand the privacy, access-control, and reviewer-wellbeing considerations that come with it
• Have experience with GCP/AWS, Postgres/BigQuery, and CI/CD in a production environment
• Have used LLMs as a building block inside operational tools (e.g. assisted triage, summarisation, or classification in the review loop)

Representative projects

• Rebuilding the analyst review queue so cases are routed by severity and skill, with full decision history and one-click escalation
• Shipping a unified account-investigation view that pulls signals from multiple detection systems into a single, permissioned surface
• Adding content-obfuscation and exposure-tracking features to protect reviewers working with harmful material
• Building an internal labelling tool that feeds high-quality ground truth back to the detection and research teams

Candidates need not have

• 100% of the skills listed above
• Prior experience in AI or machine learning
• Formal certifications or education credentials

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

About the team

Anthropic's mission is to ensure the world safely makes the transition through transformative AI.

Our Go-To-Market organization helps enterprises understand, adopt, and scale Claude responsibly. Within GTM, the Partner Enablement team builds the programs, credentials, and learning infrastructure that allow our ecosystem of system integrators, cloud providers, and technology partners to build deep Claude expertise and deliver successful customer outcomes at scale.

We work cross-functionally across Partnerships, Sales, Applied AI, Product, and Marketing to make sure partner-facing programs are clear, consistent, and high-impact.

About the role:

We're looking for a Partner Enablement Lead, System Integrators to define and scale how Anthropic enables its SI ecosystem.

This role is responsible for translating partnership and product strategy into clear, repeatable programs that help system integrators build, sell, and deliver with Claude. You will own enablement for a portfolio of our most strategic global SIs and set the strategy, operating model, and team that extends that work across the broader service provider ecosystem, from global integrators to regional and specialist firms.

This is a highly cross-functional leadership role that combines 0 to 1 building with scaling global programs. You'll work closely with Partnerships leadership and teams across Sales, Applied AI, Product, Marketing, and Enablement to ensure partner-facing initiatives land clearly and drive measurable outcomes.

In this role, you will

• Define and lead Anthropic's enablement strategy for the global system integrator ecosystem

• Serve as the enablement lead for a portfolio of strategic global SIs, accountable for practitioner readiness and certification outcomes

• Build and scale the SI enablement function, including team, operating model, and coverage approach across partner segments

• Design and operationalize repeatable programs across onboarding, technical workshops, train-the-trainer, hackathons, and product launches

• Develop partner learning pathways and certification delivery models that scale across large practitioner populations

• Create high-quality enablement content such as playbooks, solution guides, and technical assets

• Enable Anthropic sellers and partner managers to engage, position, and co-sell effectively with SIs

• Partner cross-functionally to align priorities, share infrastructure, and ensure consistent execution across partner-facing initiatives

• Establish metrics and reporting to track partner activation, certification progress, pipeline contribution, and program effectiveness

• Build feedback loops that bring partner insights back into enablement, product, and GTM strategy

You might thrive in this role if you:

• 7-10+ years of Partner Enablement, Alliance or Sales experience

• Have built and scaled partner enablement or practice development programs in high-growth technology environments

• Have deep experience working with or inside large global system integrators and understand how they build, staff, and grow a technology practice

• Bring existing senior relationships across the SI ecosystem and the executive presence to influence practice and alliance leadership

• Turn complex product and GTM strategy into clear, scalable programs

• Are an effective operator who can lead cross-functional initiatives across complex organizations

• Thrive in fast-paced, ambiguous environments and enjoy building from 0 to 1

• Think in systems, operating models, and tiered coverage rather than one-off efforts

• Are technically curious about AI and credible with both business and technical partner audiences

Strong candidates may also have:

• Experience building or running an authorized training partner or certified instructor network

• Prior ownership of, or close partnership with, a technology certification program

• Time spent inside a GSI's AI, data, or cloud practice, or on a hyperscaler's SI alliance team

• A track record connecting enablement activity to pipeline and revenue outcomes

• Experience scaling programs across multiple regions, including offshore delivery centers

• People management experience with distributed or matrixed teams

Logistics:

This role must be based in one of our hubs: San Francisco, New York, or London. We operate a hybrid model and expect regular time onsite with partners and at Anthropic offices. Expect roughly 25-35% travel.

As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Role Focus

This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include:

• Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms.

• Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes.

• Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale.

Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic

• Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself

• Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions

• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus

• Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners

• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs

• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team

• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, AI ethics, and responsible deployment

• Partner effectively with SF-based teams across time zones, maintaining regular cadence with Elizabeth Kelly and cross-functional stakeholders while operating with significant regional autonomy

• Help shape team processes and culture as we scale from 1 to N

You May Be a Good Fit If You Have

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies

• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs

• Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts

• Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement

• Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees

• A scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

• Strong understanding of GDPR and UK data protection, with ability to address customer concerns about AI ethics and responsible deployment

• Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones

• Excellent communication skills with ability to adapt style across cultural contexts

• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus

• A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology

Strong Candidates May Also Have

• Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership

• Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions

• Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment

• Track record of building strategic partnerships with foundations or philanthropic advisors

• Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums

• Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes

Logistics

Location: London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.

Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.

Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

About the role

Anthropic's Partnerships organization is scaling across global system integrators, regional services partners, resellers, technology partners, and marketplaces. As our Partner Commercial Programs Lead, you'll design and govern the commercial programs that partner channels run on - the incentive structures, eligibility criteria, deal protection frameworks that govern how partners go to market with us, and manage the governance cadence that keeps them current as the business scales.

This is a foundational, global role sitting at the intersection of Partnerships, Finance, and Legal. You'll serve as the point of resolution for questions of deal attribution, incentive eligibility, and channel conflict, and codify decision criteria so the program scales consistently.

The ideal candidate has owned multi-channel partner commercial frameworks end-to-end - designing them , running the quarterly governance, and maintaining a single source of truth through rapid growth. Experience architecting partner incentive strategy, standing up MDF or co-investment programs, or running a commercial deal desk is strongly preferred

Responsibilities

• Design and own the commercial framework spanning all partner channels and geographies — incentive structures, discount and margin frameworks, eligibility criteria, rules of engagement, and deal registration protection
• Run quarterly incentive qualification and governance: validate threshold attainment, resolve attribution disputes, and determine payout eligibility before handoff to Finance
• Adjudicate channel conflict, contested deal registrations, and dual-partner claims against documented criteria - and evolve those criteria as new edge cases surface
• Govern partner investment programs (market development funds, co-investment funds, and similar), deciding eligible activity, matching ratios, and at-risk vs. opportunistic deployment
• Track bilateral obligations with strategic partners — both what Anthropic has committed and what partners owe back — and trigger cure, renegotiation, or escalation when commitments slip
• Act as the primary commercial interface to Legal and Finance, translating partner business needs into contract terms, rebate structures, and localised commercial instruments
• Maintain the authoritative source document for partner commercial terms, holding the line against ad-hoc carve-outs while knowing when the framework genuinely needs to evolve
• Codify decision criteria so that exception handling scales beyond you as the partner program grows

You may be a good fit if you have

• 12+ years in partner operations, channel operations, commercial strategy, deal desk, or pricing - with direct ownership of multi-channel commercial frameworks across system integrators, resellers, and/or marketplace partners
• Hands-on experience managing market development funds, partner co-investment programs, or equivalent partner funding vehicles 
• A track record of running incentive governance at a regular cadence, where your calls held up under pushback from both sales teams and partners
• Commercial and legal fluency: you've drafted commercial terms, rebate structures, and discount frameworks, and worked as the translator between business needs and Legal/Finance constraints
• Demonstrated ability to scale exception handling — turning one-off judgment calls into documented criteria that others can apply consistently
• Comfort operating as a global individual contributor across time zones, with occasional travel to partner and regional team locations
• Sound judgment and a calm, decisive approach when two parties both have a reasonable case and someone has to make the call

Strong candidates may also have

• Experience standing up partner commercial frameworks from zero at a high-growth technology company
• Background in consumption-based or usage-based business models and the incentive design challenges they create
• Exposure to international partner programs requiring localised pricing, legal instruments, and currency/payment terms
• Familiarity with partner relationship management (PRM) systems and how commercial rules get operationalised in tooling
• Interest in the responsible deployment of frontier AI and how partner ecosystems shape who gets access to it

About the role           

Anthropic is looking for a Data Engineer to join the Safeguards team and build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being — and doing that well requires robust, reliable data infrastructure. In this role, you'll design and build the data pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale.

You'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. This is a high-impact role where your work will directly support Anthropic's mission to develop AI that is safe and beneficial.

Responsibilities:

- Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows
- Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data
- Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes
- Collaborate with engineers to integrate data from multiple sources — including model outputs, user reports, and automated classifiers — into a unified analytical layer
- Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data
- Partner with research teams to surface data insights that inform model improvements and safety interventions
- Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently
- Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling

You may be a good fit if you:

- Have 3+ years of experience in data engineering, analytics engineering, or a related role
- Are proficient in SQL and Python, with experience building and maintaining ETL/ELT pipelines
- Have hands-on experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks
- Have worked with cloud data platforms (BigQuery, Redshift, Snowflake, or similar)
- Are comfortable building dashboards and data visualizations using tools like Looker, Tableau, or Metabase
- Communicate clearly and can translate complex data concepts for both technical and non-technical audiences
- Are results-oriented, flexible, and willing to pick up slack even when it falls outside your job description
- Care about the societal impacts of AI and are motivated by safety work

Strong candidates may have:

- Experience with trust & safety, integrity, fraud, or abuse detection data systems
- Experience with large-scale event streaming systems (Kafka, Pub/Sub, Kinesis)
- Built data infrastructure that supports ML model monitoring or evaluation
- Familiarity with data privacy and compliance frameworks (GDPR, CCPA, or similar)
- A background in statistical analysis, or experience collaborating closely with data scientists
- Developed internal tooling or self-service analytics platforms

Strong candidates need not have:

- A formal degree in Computer Science or a related field — we value practical experience and demonstrated ability over credentials
- Prior experience in AI or machine learning — you'll learn the domain-specific context on the job
- Previous experience at an AI safety or research organization
- Deep expertise across every tool listed above — familiarity with a subset and a willingness to learn is enough

About the role:

You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team.

Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas:

• AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
• Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.

Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python.

Representative Projects:

About the Role

About the role

Anthropic's Safeguards team is responsible for the systems that allow us to deploy powerful AI models responsibly — and the data infrastructure underneath those systems is foundational to getting that right. The Safeguards Data Infrastructure team owns the offline data stack that underpins our safeguards work: the storage layer for sensitive user data, the tooling built on top of it, and the interfaces that let the rest of the Safeguards organization access that data safely and ergonomically.

As Engineering Manager of this team, you'll be responsible for ensuring full portability of our safeguards data stack across an expanding set of deployment environments, building privacy-preserving data interfaces that enable ML and training workflows, and driving compliance with data regulations including HIPAA. This is a role at the intersection of infrastructure engineering, data privacy, and enterprise product requirements — and it sits at a critical juncture as Anthropic scales into new cloud environments and geographies

Responsibilities:

• Lead and grow a team of engineers delivering the data infrastructure and tooling that powers Anthropic's safeguards capabilities
• Own the strategy and execution for porting the safeguards offline data stack — including PII storage and tooling — across new cloud and deployment environments as Anthropic expands
• Build and maintain privacy-safe data APIs and interfaces that enable ML and training workflows while respecting data retention and access constraints
• Drive tooling and architecture decisions that maximize data retention within the bounds of our privacy and compliance requirements
• Manage privacy incident response processes and partner with compliance teams on regulatory requirements (e.g. HIPAA, EU privacy regulations)
• Collaborate closely with enterprise customers and product teams on zero data retention offerings, working balancing safety needs with robust enterprise data contracts
• Independently own and drive multiple workstreams, including planning, execution, and cross-team coordination
• Coach, mentor, and support the career development of your direct reports, helping them set and achieve their professional goals
• Partner with recruiting to attract, hire, and retain strong engineering talent

You may be a good fit if you:

• Have 4+ years of front-line engineering management experience
• Have a track record of leading teams that build and operate data infrastructure at scale
• Have hands-on software engineering experience as an individual contributor prior to moving into management
• Have a strong understanding of data privacy principles, PII handling, and compliance frameworks
• Are comfortable driving technical decisions in an ambiguous, fast-moving environment with competing priorities
• Have experience working cross-functionally across infrastructure, product, and compliance or security teams
• Are clear and persuasive communicators, both in writing and in person

Strong candidates may also:

• Have experience with multi-cloud or multi-region data portability, particularly in regulated environments
• Have built privacy-preserving data pipelines or interfaces for ML workloads
• Have experience with enterprise data contracts or zero data retention architectures
• Have explored novel approaches to data processing under strict access constraints, such as in-memory storage and compute for sensitive data
• Have a passion for building diverse and inclusive teams

About the role

We are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight.

Responsibilities:

• Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review.
• Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required.
• Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale

You may be a good fit if you have:

• Bachelor’s degree in Computer Science, Software Engineering or comparable experience
• 4-10+ years of experience in a software engineering position
• Proficiency in Python
• Ability to work across the stack
• Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong candidates may also:

• Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems
• Have experience building metrics and measurement systems or data and privacy management systems
• Have worked closely with operational teams to build custom internal tooling
• Be proficient in TypeScript or Rust
• Have experience with Claude Code or similar agentic coding tools

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

Anthropic is seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA! You'll serve as a strategic legal partner to our sales teams, supporting complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments, from SMB to large enterprises. In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts 
• Partner closely with Sales and Go-to-Market 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 
• Identify and escalate legal risks appropriately while supporting business momentum 
• Stay current on legal developments affecting AI technologies
• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region
  
  

You might be a good fit if you have:

• Law degree and qualification to practice law in a relevant EMEA jurisdiction
• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences 
• A low-ego, collaborative approach to working with colleagues and external partners 
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development 
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities and tight deadlines 
• A "doer" attitude—willingness to roll up your sleeves and pitch in where needed

Strong candidates may have:

• In-house experience at leading technology companies with EMEA operations
• Previous experience with AI, machine learning, or other experimental technologies in commercial contexts
• Experience supporting sales teams across diverse client segments in deal negotiations 

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

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.
Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

• Independently lead small research projects while collaborating with team members on larger initiatives

• Design, run, and analyze scientific experiments to advance our understanding of large language models

• Optimize and scale our training infrastructure to improve efficiency and reliability

• Develop and improve dev tooling to enhance team productivity

• Contribute to the entire stack, from low-level optimizations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

• Strong software engineering skills with a proven track record of building complex systems

• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)

• Familiarity with large-scale machine learning, particularly in the context of language models

• Ability to balance research goals with practical engineering constraints

• Strong problem-solving skills and a results-oriented mindset

• Excellent communication skills and ability to work in a collaborative environment

• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems

• Familiarity with GPUs, Kubernetes, and OS internals

• Experience with language modeling using transformer architectures

• Knowledge of reinforcement learning techniques

• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience

• Are results-oriented with a bias towards flexibility and impact

• Willingly take on tasks outside your job description to support the team

• Enjoy pair programming and collaborative work

• Are eager to learn more about machine learning research

• Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects

• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research

• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights

• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimizing the throughput of novel attention mechanisms

• Comparing compute efficiency of different Transformer variants

• Preparing large-scale datasets for efficient model consumption

• Scaling distributed training jobs to thousands of GPUs

• Designing fault tolerance strategies for our training infrastructure

• Creating interactive visualizations of model internals, such as attention patterns

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.
If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!

About the Role

As an EMEA Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.

This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages.

The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — and specifically into French-speaking contexts — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions
• Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities
• Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures
• Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments
• Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach
• Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets
• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks

You May Be a Good Fit If You Have

• 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Francophone markets (France, Belgium, Switzerland, and Francophone Africa — Senegal, DRC, Côte d'Ivoire, and others) and broader European market contexts
• Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA
• Experience managing six-figure enterprise deal cycles
• Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations)
• Strong understanding of GDPR and data protection requirements, with ability to address customer concerns about AI, data processing, and privacy
• Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision
• Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds
• Fluency in English required; native or professional fluency in French required. Proficiency in additional languages (Spanish, Arabic) a plus.
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
• Interest in or passion for social impact and mission-driven work

Strong Candidates May Also Have

• Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions)
• Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving
• Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge
• Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment
• Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities
• Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration)
• Existing network within Francophone nonprofit, INGO, or social sector communities strongly preferred

Logistics

Location: London or Dublin preferred. 

Travel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.

Education: Bachelor's degree or equivalent experience.

Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.

About the Role

As an EMEA Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.

This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages.

The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — and specifically into French-speaking contexts — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions
• Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities
• Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures
• Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments
• Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach
• Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets
• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks

You May Be a Good Fit If You Have

• 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Francophone markets (France, Belgium, Switzerland, and Francophone Africa — Senegal, DRC, Côte d'Ivoire, and others) and broader European market contexts
• Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA
• Experience managing six-figure enterprise deal cycles
• Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations)
• Strong understanding of GDPR and data protection requirements, with ability to address customer concerns about AI, data processing, and privacy
• Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision
• Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds
• Fluency in English required; native or professional fluency in French required. Proficiency in additional languages (Spanish, Arabic) a plus.
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
• Interest in or passion for social impact and mission-driven work

Strong Candidates May Also Have

• Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions)
• Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving
• Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge
• Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment
• Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities
• Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration)
• Existing network within Francophone nonprofit, INGO, or social sector communities strongly preferred

Logistics

Location: London or Dublin preferred. 

Travel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.

Education: Bachelor's degree or equivalent experience.

Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.

About the Role

As an EMEA Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.

This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages.

The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — and specifically into Portuguese-speaking contexts — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions
• Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities
• Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures
• Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments
• Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach
• Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets
• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks

You May Be a Good Fit If You Have

• 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Portuguese-speaking markets (Portugal, Lusophone Africa — Angola, Mozambique, Cape Verde) and broader European market contexts
• Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA
• Experience managing six-figure enterprise deal cycles
• Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations)
• Strong understanding of GDPR and data protection requirements, with ability to address customer concerns about AI, data processing, and privacy
• Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision
• Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds
• Fluency in English required; native or professional fluency in Portuguese (European or Brazilian) required. Proficiency in additional languages (Spanish, French) a plus.
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
• Interest in or passion for social impact and mission-driven work

Strong Candidates May Also Have

• Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions)
• Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving
• Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge
• Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment
• Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities
• Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration)
• Existing network within Lusophone nonprofit, INGO, or social sector communities strongly preferred

Logistics

Location: London preferred. Remote within UK/EU considered for exceptional candidates.

Travel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.

Time Zone Coverage: Must be able to maintain regular overlap with SF-based teams (typically 4–5 hours daily).

Education: Bachelor's degree or equivalent experience.

Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.

About the Role

As an EMEA Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.

This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages.

The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — and specifically into Spanish-speaking contexts — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions
• Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities
• Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures
• Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments
• Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach
• Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets
• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks

You May Be a Good Fit If You Have

• 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Spanish-speaking markets (Spain, Latin America where relevant to EMEA operations) and broader European market contexts
• Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA
• Experience managing six-figure enterprise deal cycles
• Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations)
• Strong understanding of GDPR and data protection requirements, with ability to address customer concerns about AI, data processing, and privacy
• Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision
• Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds
• Fluency in English required; native or professional fluency in Spanish required. Proficiency in additional languages (French, Portuguese) a plus.
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
• Interest in or passion for social impact and mission-driven work

Strong Candidates May Also Have

• Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions)
• Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving
• Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge
• Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment
• Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities
• Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration)
• Existing network within Spanish-speaking nonprofit, INGO, or social sector communities strongly preferred

Logistics

Location: London or Dublin preferred.

Travel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.

Education: Bachelor's degree or equivalent experience.

Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.

About the Role:

Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.

This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.

Responsibilities: 

• Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability
• Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
• Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
• Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
• Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
• Add new capabilities to the training codebase, such as long context support or novel architectures
• Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
• Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned

You May Be a Good Fit If You:

• Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
• Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
• Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
• Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
• Excel at debugging complex, ambiguous problems across multiple layers of the stack
• Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
• Are passionate about the work itself and want to refine your craft as a research engineer
• Care about the societal impacts of AI and responsible scaling

Strong Candidates May Also Have: 

• Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
• Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax)
• Published research on model training, scaling laws, or ML systems
• Experience with production ML systems, observability tools, or evaluation infrastructure
• Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence

What Makes This Role Unique: 

This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.

However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.

We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.

Location:This role requires working in-office 5 days per week in London. 

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

About the Role

Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it.

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

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

Responsibilities

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

You may be a good fit if you

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

Strong candidates may also

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

About the role

As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI.
Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude.

Responsibilities

• Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI
• Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development
• Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude
• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements
• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team
• Create technical content for developer audiences including documentation, tutorials, and sample code
• Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events
• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder
• Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
• Strong programming skills with proficiency in Python and experience building production applications
• Experience working with high-growth, tech-forward companies
• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases
• Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience
• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans
• Experience facilitating technical workshops, hackathons, or developer-focused events
• Passion for making powerful technology safe and beneficial

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.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

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

The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.

Responsibilities:

• Build security for large-scale AI clusters, implementing robust cloud security architecture including IAM, network segmentation, and encryption controls
• Design secure-by-design workflows, secure CI/CD pipelines across our services, help build secure cloud infrastructure, with expertise in various cloud environments, Kubernetes security, container orchestration and identity management
• Ship and operate secure, high-reliability services using Infrastructure-as-Code (IaC) practices and GitOps workflows
• Apply deep expertise in threat modeling and risk assessment to secure complex multi cloud environments
• Mentor engineers and contribute to hiring and growth of the Security team

You may be a good fit if you:

• 5-15+ years of software engineering experience implementing and maintaining critical systems at scale
• Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
• Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++)
• Experience managing infrastructure at scale with DevOps and cloud automation best practices
• Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship
• Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics
• Outstanding communication skills, translating technical concepts effectively across all organizational levels
• Demonstrated success in bringing clarity and ownership to ambiguous technical problems
• Strong systems thinking with ability to identify and mitigate risks in complex environments
• Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams
• Experience supporting fast-paced startup engineering teams
• Passionate about AI safety and alignment, with keen interest in making AI systems more interpretable and aligned with human values

Strong candidates may also have experience with:

• Designing and hardening CI/CD pipelines against supply chain attacks through isolated environments, signed attestations, dependency verification, and automated policy enforcement
• Building secure development workflows through hardened remote environments
• Implementing network segmentation and access controls in cloud environments
• Managing infrastructure through automated configuration and policy enforcement
• Hardening containerized applications and enforcing security policies

About the role

Anthropic is seeking a Research Engineer/Scientist to join the Science of Scaling team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. You'll contribute across the entire stack, from low-level optimizations to high-level algorithm and experimental design, balancing research goals with practical engineering constraints.

Responsibilities:

• Conduct research intro the science of converting compute into intelligence
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyze scientific experiments to advance our understanding of large language models
• Optimize training infrastructure to improve efficiency and reliability
• Develop dev tooling to enhance team productivity

You may be a good fit if you:

• Have significant software engineering experience and a proven track record of building complex systems
• Hold an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
• Are proficient in Python and experienced with deep learning frameworks
• Are results-oriented with a bias towards flexibility and impact
• Enjoy pair programming and collaborative work, and are willing to take on tasks outside your job description to support the team
• View research and engineering as two sides of the same coin, seeking to understand all aspects of the research program to maximize impact
• Care about the societal impacts of your work and have ambitious goals for AI safety and general progress

Strong candidates may have:

• Experience with JAX
• Experience with reinforcement learning
• Experience working on high-performance, large-scale ML systems
• Familiarity with accelerators, Kubernetes, and OS internals
• Experience with language modeling using transformer architectures
• Background in large-scale ETL processes
• Experience with distributed training at scale (thousands of accelerators)

Strong candidates need not have:

• Experience in all of the above areas — we value breadth of interest and willingness to learn over checking every box
• Prior work specifically on language models or transformers; strong engineering fundamentals and ML knowledge transfer well
• An advanced degree — exceptional engineers with strong research instincts are equally encouraged to apply

As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Role Focus

This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include:

• Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms.

• Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes.

• Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale.

Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic

• Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself

• Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions

• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments to build consensus

• Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners

• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs

• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team

• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, AI ethics, and responsible deployment

• Partner effectively with SF-based teams across time zones, maintaining regular cadence with Elizabeth Kelly and cross-functional stakeholders while operating with significant regional autonomy

• Help shape team processes and culture as we scale from 1 to N

You May Be a Good Fit If You Have

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies

• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs

• Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts

• Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement

• Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees

• A scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission

• Strong understanding of GDPR and UK data protection, with ability to address customer concerns about AI ethics and responsible deployment

• Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones

• Excellent communication skills with ability to adapt style across cultural contexts

• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus

• A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology

Strong Candidates May Also Have

• Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership

• Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions

• Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment

• Track record of building strategic partnerships with foundations or philanthropic advisors

• Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums

• Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programmes

Logistics

Location: London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.

Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours.

Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

About the Role

As an EMEA Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.

This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages.

The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — and specifically into Portuguese-speaking contexts — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions
• Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities
• Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures
• Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments
• Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach
• Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets
• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks

You May Be a Good Fit If You Have

• 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Portuguese-speaking markets (Portugal, Lusophone Africa — Angola, Mozambique, Cape Verde) and broader European market contexts
• Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA
• Experience managing six-figure enterprise deal cycles
• Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations)
• Strong understanding of GDPR and data protection requirements, with ability to address customer concerns about AI, data processing, and privacy
• Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision
• Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds
• Fluency in English required; native or professional fluency in Portuguese (European or Brazilian) required. Proficiency in additional languages (Spanish, French) a plus.
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
• Interest in or passion for social impact and mission-driven work

Strong Candidates May Also Have

• Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions)
• Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving
• Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge
• Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment
• Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities
• Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration)
• Existing network within Lusophone nonprofit, INGO, or social sector communities strongly preferred

Logistics

Location: London preferred. Remote within UK/EU considered for exceptional candidates.

Travel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.

Time Zone Coverage: Must be able to maintain regular overlap with SF-based teams (typically 4–5 hours daily).

Education: Bachelor's degree or equivalent experience.

Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.

Data Center Transaction Principal, Europe

About the role

As a Transaction Principal for Europe at Anthropic, you'll drive the commercial sourcing and transaction execution process for our European data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.

This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems across Europe — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution, and doing so across multiple countries with distinct regulatory, power, and development dynamics.

Responsibilities

• Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets

• Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships

• Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure

• Serve as project manager for cross-functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution

• Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status

• Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure

• Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms

• Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly

• Marry the right projects, capital stacks, and developers at the right stages

• Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets

• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region

• Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy

You may be a good fit if you

• Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement

• Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution

• Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements

• Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously

• Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions

• Have experience working in or across European markets, with knowledge of the regional data center and development landscape — including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe

• Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures

• Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives

• Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution

• Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners

It's a bonus if you

• Have experience with data center or hyperscale infrastructure transactions specifically

• Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)

• Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity

• Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions

• Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations)

• Have familiarity with data sovereignty and regulatory considerations that influence European site selection

• Have relationships within the European data center developer, operator, and broker ecosystem

• Have a background in corporate development, strategic partnerships, or infrastructure investment

• Have experience in high-growth technology companies managing infrastructure expansion

About the Role

As an EMEA Nonprofit Account Executive at Anthropic, you'll drive adoption of safe, frontier AI by securing strategic partnerships with nonprofit organisations across Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.

This role requires deep understanding of the diverse nonprofit landscape across EMEA, including international development organisations (INGOs), humanitarian agencies, foundations, and charitable trusts. You'll navigate varying regulatory frameworks, data protection requirements (including GDPR), and cultural contexts while building relationships across multiple time zones and languages.

The ideal candidate will be an exceptional salesperson with experience selling into EMEA markets — and specifically into Spanish-speaking contexts — a passion for developing new market segments, and the ability to operate autonomously while partnering closely with SF-based teams. By driving deployment of Anthropic's emerging products in the EMEA nonprofit sector, you will help organisations amplify their social impact while advancing the ethical development of AI.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions
• Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities
• Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures
• Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments
• Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach
• Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets
• Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, processing locations, and privacy frameworks

You May Be a Good Fit If You Have

• 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Spanish-speaking markets (Spain, Latin America where relevant to EMEA operations) and broader European market contexts
• Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA
• Experience managing six-figure enterprise deal cycles
• Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations)
• Strong understanding of GDPR and data protection requirements, with ability to address customer concerns about AI, data processing, and privacy
• Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision
• Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds
• Fluency in English required; native or professional fluency in Spanish required. Proficiency in additional languages (French, Portuguese) a plus.
• Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly
• Interest in or passion for social impact and mission-driven work

Strong Candidates May Also Have

• Experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions)
• Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving
• Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge
• Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment
• Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities
• Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration)
• Existing network within Spanish-speaking nonprofit, INGO, or social sector communities strongly preferred

Logistics

Location: London or Dublin preferred.

Travel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.

Education: Bachelor's degree or equivalent experience.

Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.