Responsibilities:

• Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts.
• Lead the RFP and commercial sourcing process for Canadian 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, and platform teams.
• Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status.
• Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure.
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint.
• 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.
• Support the development of the long-term data center supply strategy.

Requirements:

• 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.
• Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners.
• 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.
• Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization.
• Expert in the Canadian Leasing Compute space.

Nice to have:

• Experience with data center or hyperscale infrastructure transactions specifically.
• 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.
• Possess familiarity with data center developer ecosystems and market dynamics.
• Have experience in high-growth technology companies managing infrastructure expansion.
• Understand utility coordination, power procurement, or energy considerations in data center transactions.
• Have a background in corporate development, strategic partnerships, or infrastructure investment.

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Responsibilities:

• Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts.
• Lead the RFP and commercial sourcing process for Canadian 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, and platform.
• Act as the single point of contact (SPOC) for auxiliary organizations, providing regular updates on transaction progress and leasing process status.
• Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure.
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint.
• 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.
• Marry the right projects, capital stacks, and developers at the right stages.
• Support the development of the long-term data center supply strategy.

Requirements:

• 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement.
• Proven track record of managing complex, multi-stakeholder transactions from sourcing through execution.
• Strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements.
• Excellent project management skills, able to coordinate across legal, technical, finance, and operational teams.
• Experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions.
• Exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners.
• Highly organized with strong attention to detail, maintaining focus on strategic deal objectives.
• Ability to operate effectively in fast-paced, ambiguous environments.
• Collaborative mindset with the ability to build trust with diverse stakeholder groups.
• Expertise in the Canadian Leasing Compute space.

Nice to Have:

• Experience with data center or hyperscale infrastructure transactions.
• Understanding of technical requirements for AI/ML workloads.
• Familiarity with data center developer ecosystems and market dynamics.
• Experience in high-growth technology companies managing infrastructure expansion.
• Background in corporate development, strategic partnerships, or infrastructure investment.

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In this role, you will work directly with Claude, a large language model, on problems that are genuinely unsolved. You will be part of the People Products team, which exists to support Anthropic's mission by defining the blueprint for AI at work.

Responsibilities

• Build full-stack end-to-end across the People Products portfolio.
• Design and implement AI-native workflows: build tools, evals, prompts, and products.
• Work directly with internal stakeholders , HR teams, recruiters, managers , to understand problems, gather feedback, and iterate quickly without waiting for requirements to be handed down.
• Make product and architecture decisions independently in a low-structure environment: knowing when to cut scope, when to ship, and when to ask for input.
• Contribute ideas for how the team works, what it builds, and where applied AI can have the most leverage in people workflows.

You Might Be a Good Fit If You:

• Derive joy from hard work and the act of creation.
• Have shipped LLM-native features or applications.
• Are experienced enough to build big features independently, and make great architectural decisions along the way.
• Are self-sufficient end-to-end: you can go from idea to production without needing a designer, PM, or architect to unblock you.
• Move fast without cutting corners: you hold a high quality bar and know how to make smart tradeoffs under time pressure.
• Engage directly with users and criticism: you’re comfortable talking to internal customers, hearing hard feedback, and incorporating it quickly.
• Are genuinely mission-driven: you care about the intersection of AI and people practices, not just the technical puzzle.
• Are a collaborative, supportive teammate: you bring people along, communicate clearly about tradeoffs, and make the people around you better.

Strong Candidates May Also Have:

• Familiarity with MCP (Model Context Protocol) or prior experience building Claude or LLM integrations in production.
• Background at an AI-native company or in a product-focused 0->1 engineering environment.
• Experience with HR tech platforms such as Greenhouse, Workday, or Rippling.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Responsibilities:

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

You may be a good fit if you:

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

Strong candidates will also have experience with:

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

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You'll design and implement evaluations across the full spectrum of Claude's capabilities and personality, and build the infrastructure that runs them reliably at scale. You'll partner closely with researchers throughout the lifecycle of a new capability , from defining what to measure, to running the eval against live training checkpoints, to interpreting the results.

Key responsibilities include designing and running new evaluations of Claude's capabilities, building and hardening the distributed eval execution platform, owning dashboards researchers and leadership use to monitor model health, debugging anomalous eval results, improving tooling and workflows, partnering with research teams, running experiments, and communicating evaluations and results to internal stakeholders and external audiences.

Minimum qualifications include strong Python programming skills, experience building or operating distributed systems, data pipelines, or other infrastructure that needs to be reliable at scale, clear written and verbal communication, comfort operating in an on-call or production-support capacity, and care about the societal impacts of your work.

Preferred qualifications include hands-on experience using large language models, background in data visualization, experience developing robust evaluation metrics for language models, experience with observability, monitoring, or experiment-tracking systems, background in statistics and experimental design, experience running or supporting ML training infrastructure, and a bias toward picking up slack and operating flexibly across team boundaries.

The annual compensation range for this role is $320,000-$485,000 USD.

Minimum education is a Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study is a field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience required will correlate with the internal job level requirements for the position.

Location-based hybrid policy: currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: we do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Pr

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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.

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

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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

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As a Research Engineer on the RL Velocity 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.

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

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Benefits

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• A lovely office space in which to collaborate with colleagues

How We're Different

• We believe that the highest-impact AI research will be big science.

• At Anthropic, we work as a single cohesive team on just a few large-scale research efforts.

• We value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles.

• We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

• We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time.

• As such, we greatly value communication skills.

Come Work With Us!

• Learn about our policy for using AI in our application process

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This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional , you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organisation to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behaviour.

Responsibilities:

• Support model launch readiness by running evaluations, monitoring and interpreting results, and surfacing regressions or unexpected behaviour changes to relevant stakeholders

• Partner closely with policy and domain experts throughout the evaluation lifecycle , from identifying risks and scoping the right evaluation approach, to coordinating creation of new evals and ensuring existing ones remain current with evolving policies, threat vectors, and model capabilities

• Work with cross-functional stakeholders to help manage evaluation outcomes, including interpreting results and driving mitigations where needed

• Think strategically about eval quality to build processes and eval paradigms that keep evaluations unsaturated, high-signal, and insightful as models improve

• Build out processes and frameworks for creating product-specific evaluations as Anthropic's product surface area expands

• Help design and scope tooling improvements that accommodate evolving eval needs and expand self-serve eval creation and iteration for non-technical users

• Write and maintain rigorous documentation for evaluation creation, execution, and interpretation as the team builds out eval tooling and processes

You may be a good fit if you:

• Have experience in trust and safety, content operations, policy enforcement, or a related operational role at a technology company

• Thrive in ambiguous, fast-moving environments , you're energised rather than frustrated when the path forward isn't clearly defined and you need to figure it out as you go

• Have experience building processes, workflows, or programmes from scratch (zero-to-one work), not just maintaining existing ones

• Have strong programme management instincts, naturally creating structure around complex, multi-stakeholder efforts by tracking timelines, dependencies, and deliverables to keep work on track

• Are eager to expand your technical toolkit, including adopting internal tools and AI-assisted workflows (e.g., Claude Code) to accelerate your work

• Can manage multiple concurrent workstreams across different domain areas without losing track of details , strong prioritisation and context-switching are essential when deadlines and priorities shift quickly

• Are a strong generalist comfortable moving fluidly across different types of work and switching contexts throughout the day

• Are comfortable making judgment calls with incomplete information and escalating appropriately when needed

• Communicate clearly and concisely, both in writing and cross-functionally

Strong candidates may also have:

• Experience operating under tight, high-stakes timelines , such as product launch cycles, incident response, or regulatory deadlines , where information and priorities can shift with little notice

• Experience coordinating across engineering, policy, and product teams to translate findings into concrete action

• Experience building and maintaining SOPs, runbooks, and operational documentation in fast-changing environments

• Proficiency with data tools (SQL, dashboards, spreadsheets) sufficient to maintain and improve workflows

• Comfort working with sensitive content areas as part of eval creation or enforcement review responsibilities

The annual compensation range for this role is $230,000-$270,000 USD.

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About the Role: The Application Security team at Anthropic is at the forefront of building security into every phase of the software development lifecycle. As an Application Security Engineer, you will partner closely with software engineers and researchers to ensure that security is a core consideration from initial design through implementation. You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices.

Responsibilities:

• Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries
• Lead “shift left” security efforts to build security into the software development lifecycle
• Conduct secure design reviews and threat modeling. Identify and prioritize risks, attack surfaces, and vulnerabilities
• Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices
• Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale
• Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community
• Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development
• Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers

Requirements:

• 5+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle
• Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls
• Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface
• Are keen to distill complex security concepts into clear actions and drive consensus without direct authority
• Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education
• Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes
• Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses
• Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives
• Advocate for security fundamentals like least privilege, defense-in-depth, and eliminating complexity that could sub-linearly scale security through smart design

Preferred Qualifications:

• Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP
• Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises
• Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations
• Experience building security tools, applications, and automated tools
• Solid foundational knowledge of both software and security engineering principles and are keen to continue learning
• Excellent communication skills, able to distill complex security topics for broad audiences
• Worked and thrived in fast-paced environments, and comfortable navigating ambiguity

Annual Compensation Range:

$300,000-$405,000 USD

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How to Apply:

If you're interested in this role, please submit your application through our website. We look forward to reviewing your application!

Note:

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

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