Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As the Revenue Strategy & Operations partner for Australia and New Zealand, one of our most established markets in Asia-Pacific, you'll work with our ANZ sales leadership to plan and run the business, from the market's largest enterprises and government agencies to its fastest-growing technology companies.
You will be the trusted advisor to our sales leaders on how the business is planned and run: where we invest, how we cover the market, and how we read performance in a consumption business, while building the operational foundations to scale. Much of the work you will do yourself, hands-on.
This role suits a structured thinker who is comfortable with ambiguity: you will often start from an open question, turn it into a clear recommendation, and get leaders who don't report to you aligned behind it.
You'll work closely with Strategy & Operations peers in Singapore, Japan, Korea and India, with global Revenue Operations and Finance, and you'll use Claude every day to do the work of a much larger team.
This is a senior individual contributor role. You'll report to the head of Revenue Strategy & Operations for Asia-Pacific, who is also based in Sydney, work day to day alongside our sales leaders and team, and spend regular time with customers and colleagues across Australia and New Zealand.
Responsibilities
Go-to-Market Strategy
Lead annual and quarterly go-to-market planning for Australia and New Zealand with sales leadership and Finance: set targets, territories and sales capacity, and own the trade-offs behind them.
Set how we segment the market and design territories across enterprise, public sector, digital natives and startups, and keep books balanced as the team grows.
Align leadership on coverage and investment (which industries and accounts get named sellers, what we cover through partners and self-serve), and revisit the call as the business grows.
Shape how we go to market with cloud marketplaces, systems integrators and resellers (co-selling, partner pipeline and joint planning), alongside our partnerships team.
Give sales leadership an independent read of the business (consumption, pipeline and performance by segment), with the risks, the opportunities and a recommended course of action, early enough to act on.
Rhythm of the Business & Regional Leadership
Own the operating rhythm for Australia and New Zealand (weekly forecast and pipeline reviews, monthly and quarterly business reviews), and make it the place where decisions get made, not where reports get read.
Represent the market with Revenue Operations, Sales Enablement, Finance, Marketing and Partnerships; keep its plans aligned with Asia-Pacific and the company, and bring back what works elsewhere.
Advise ANZ and Asia-Pacific leadership through planning sessions, performance reviews and leadership updates. Own the narrative, not just the numbers.
Influence without authority: bring structure to ambiguous problems, build the case, and drive decisions across teams you don't manage.
Operations & Global Programs
Own the market's commercial governance (account and territory decisions, rules of engagement, planning inputs, data standards), working through our global Revenue Operations team, who own the CRM and sales systems.
Land global programs, processes and tools in Australia and New Zealand, and be the market's voice back to headquarters when something needs to change.
Keep the commercial engine running smoothly across the long, multi-stakeholder sales cycles typical of enterprise and government buyers.
You may be a good fit if you have
Required qualifications
8-12 years of experience in B2B SaaS, cloud or enterprise software, including several years leading sales strategy, revenue operations or commercial go-to-market work as the advisor to a sales leader, ideally in Australia or New Zealand
Structured thinking: a track record of taking ambiguous, open-ended problems and turning them into options, a recommendation and a decision
Analytical depth: you can get from raw data to a recommendation yourself, and you know which three numbers a leader needs to see
You have owned annual planning, territory design, quota setting and business reviews for enterprise sales teams
Hands-on with Salesforce and data (reports, dashboards and your own analysis); you use the systems yourself rather than administer them
Presence and judgement with senior sales leadership and C-level stakeholders, including the confidence to give an unwelcome recommendation, and a record of getting decisions made across teams you don't manage
Comfortable operating in ambiguity and at pace; you can build the process while running it
A record of advising regional leadership on go-to-market strategy and getting the organization behind it
Based in Sydney
Strong candidates may also have
Experience in a consumption or usage-priced business (cloud infrastructure, data or AI platforms): planning and forecasting on usage, not bookings alone
Management consulting experience (strategy or operations work), ideally combined with time in an operating role
A track record of scaling sales organizations through 3x+ growth periods in B2B software
Go-to-market experience with the Australian public sector (federal and state), or with partners and cloud marketplaces in Australia and New Zealand
Experience in Chief of Staff or Business Operations roles supporting regional leadership
You already use AI tools hands-on in your own work
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
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 helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering 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 architectures that maximize the value of our AI systems.
Key responsibilities
Partner with account executives across South Korea to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers across South Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences across South Korea. You will need to be able to run the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers across South Korea integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
Minimum qualifications
Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native-level Korean fluency and business-level English required
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Preferred qualifications
5+ years of relevant experience
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-organizational 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. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
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.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Canberra, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for an experienced National Security practitioner to guide our strategic engagements with Asia-Pacific national security and intelligence communities. Working closely with the national security team based in the US and the APAC policy team, this senior role will help to shape Anthropic's approach to national security policy and partnerships in APAC during a critical period in AI development and governance. You will be the day to day point of contact with national security partners in the Asia-Pacific, translating technological developments for national security audiences and building mutually beneficial collaborations.. You will also work closely with our APAC public sector sales team to support public sector deployment of Claude in high-leverage use cases that strengthen national security, enhance government efficiency, and accelerate allied competitiveness to promote regional peace and security.
This role is based in Australia. This job will also require travel across the Asia-Pacific region and to the United States.
In this role you will:
Lead policy engagement with APAC national security partners on issues related to government use and national security implications of frontier models
Engage key NatSec policy stakeholders (e.g., via briefings, consultations, demos, roundtables), in coordination with the wider national security and APAC policy teams.
Partner with the APAC public sector sales team to support commercial efforts involving government agency deployments
Support and promote public-private research collaborations
Build a coalition of government agencies, nonprofits, safety institutes, think tanks and academics to in APAC to share knowledge around national security issues and ensure the safe and responsible adoption of frontier AI
Collaborate with technical teams to translate Anthropic threat model research into concrete policy proposals, stakeholder education, and thought leadership opportunities
You may be a good fit if you:
Have 10+ years of experience working in national security agencies, or a combination of government and related private sector experience
Are high-agency, able to develop and execute strategy independently, taking account of dependencies with other cross-functional teams within Anthropic (including but not limited to policy, go-to-market, trust and safety, legal, product, research, comms, and marketing)
Possess strong written and verbal communication skills, particularly when briefing policymakers and government officials
Have demonstrated interest and experience in a complicated technical subject (ideally, AI, but other examples could be quantum computing, cryptography, fusion power, etc.)
Have had some legal training in or exposure to contract negotiation
Are willing/able to participate in a process to obtain/retain a security clearance in Australia
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hong Kong
Workplace: remote
About the Role
We are looking for detail-oriented Generative AI Analysts to support a variety of AI training, data annotation, evaluation, and quality review projects.
Project Details
Job Title: AI Speech & Translation QC – Chinese (Hong Kong)
Location: Remote, Hong Kong
Employment Type: Freelance Contract
Pay Rate: 17.25USD/hour
Depending on the project, you may work with text, translations, audio, transcriptions, images, video, or other AI-generated content. Tasks and project requirements may vary based on the program you are assigned to.
Disclaimer
Projects are subject to client requirements and may change.
Completion of the application, assessment, and onboarding process does not guarantee assignment to a specific project or a minimum amount of work.
This is a human-in-the-loop AI training environment. The use of generative AI tools is prohibited unless explicitly authorized for a specific project.
All work must be completed independently using your own knowledge and judgment.
You must comply with all data privacy, security, and confidentiality requirements. Do not store, copy, or share project data outside approved tools and channels.
What You’ll Do
Review, evaluate, and validate AI-generated content and data according to project guidelines.
Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
Identify errors, inconsistencies, omissions, and quality issues.
Annotate, categorize, or label text, audio, images, video, or other data where required.
Provide clear written feedback or justifications for your evaluations.
Complete assigned tasks independently and within established timelines.
Follow project and client guidelines consistently and maintain a high level of accuracy.
Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
Requirements:
Experience in Generative AI evaluation, data annotation, translation, linguistics, content quality review, transcription, data labeling, or a related field is preferred.
Native-level proficiency in
Chinese (Hong Kong)
Strong English proficiency and written communication skills.
Excellent attention to detail, critical thinking, and judgment.
Ability to follow detailed guidelines and apply evaluation criteria consistently.
Comfortable working independently with structured, repetitive tasks.
Familiarity with annotation or evaluation platforms is a plus.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Hong Kong
Workplace: remote
About the Role
We are looking for detail-oriented Generative AI Analysts to support a variety of AI training, data annotation, evaluation, and quality review projects.
Project Details
Job Title: AI Speech & Translation Annotator - Chinese (Hong Kong)
Location: Remote, Hong Kong
Employment Type: Freelance Contract
Pay Rate: 15USD/hour
Depending on the project, you may work with text, translations, audio, transcriptions, images, video, or other AI-generated content. Tasks and project requirements may vary based on the program you are assigned to.
Disclaimer
Projects are subject to client requirements and may change.
Completion of the application, assessment, and onboarding process does not guarantee assignment to a specific project or a minimum amount of work.
This is a human-in-the-loop AI training environment. The use of generative AI tools is prohibited unless explicitly authorized for a specific project.
All work must be completed independently using your own knowledge and judgment.
You must comply with all data privacy, security, and confidentiality requirements. Do not store, copy, or share project data outside approved tools and channels.
What You’ll Do
Review, evaluate, and validate AI-generated content and data according to project guidelines.
Compare AI-generated outputs and identify the most accurate, relevant, or high-quality result.
Identify errors, inconsistencies, omissions, and quality issues.
Annotate, categorize, or label text, audio, images, video, or other data where required.
Provide clear written feedback or justifications for your evaluations.
Complete assigned tasks independently and within established timelines.
Follow project and client guidelines consistently and maintain a high level of accuracy.
Attend live office hours and training sessions to familiarize yourself with project guidelines, clarify questions, and prepare for task assignments.
Requirements:
Experience in Generative AI evaluation, data annotation, translation, linguistics, content quality review, transcription, data labeling, or a related field is preferred.
Native-level proficiency in
Chinese (Hong Kong)
Strong English proficiency and written communication skills.
Excellent attention to detail, critical thinking, and judgment.
Ability to follow detailed guidelines and apply evaluation criteria consistently.
Comfortable working independently with structured, repetitive tasks.
Familiarity with annotation or evaluation platforms is a plus.
Why Join Welo Data?
✨ Limitless Flexibility
Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.
🌱 Limitless Growth
Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.
🌍 Limitless Support
Be part of a global contributor community with responsive guidance and support.
💡 Real Impact
Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Horizons
The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models.
About the role
We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows.
You may be a good fit if you:
Have experience in cybersecurity research.
Have experience with machine learning.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have:
Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
Experience participating in or building CTF competitions and cyber ranges.
Academic research experience in cybersecurity.
Familiarity with RL techniques and environments.
Familiarity with LLM training methodologies.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; Washington D.C.
Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs.
As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society.
Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day.
WHAT YOU'LL DO:
Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might:
- Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity.
- Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys.
- Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court.
- Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer).
- Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape.
- Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management.
- Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy.
The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike.
WHO WE'RE LOOKING FOR:
No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here:
- Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines.
- We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later).
- Experienced engineers at top tech companies who wish to develop policy, business, and operations chops.
- Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI.
- This is a non-exhaustive list; other profiles may also be great fits.
No matter which profile describes you, we'll also be looking for:
- Evidence of exceptional ability and 99th-percentile work ethic.
- Strong technical skills at or above Perplexity's hiring bar for software engineers.
- Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer).
- High intrinsically-enforced standards for the craft and quality of your work.
- Strong communication and writing skills, ideally demonstrated via samples of past written work product.
- Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months.
- Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts.
- Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters.
- A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals.
Key responsibilities
Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities
Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production
Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions
Handle civil third-party subpoenas and preservation demands
Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling
Run and improve the law enforcement response process and tooling
Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations
Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing
Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests
Monitor legal developments in government access to user data and advise the team on their operational impact
Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives
Minimum qualifications
Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience
Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests
Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs
Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization
Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure
Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously
Experience owning an intake, queue, or docketing process end to end, including deciding what gets escalated and maintaining rigorous tracking
Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else
A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department
Preferred qualifications
5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department
2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies
Experience building or scaling a law enforcement response process
Experience managing legal intake process within a growing company
Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues
Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$1
—
$2 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future.
Claude has already helped
uncover a novel enzyme system
,
formalize Fermat’s Last Theorem
, design
more efficient quantum circuits
, and compute
new results in theoretical physics
— and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1.
You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our
AI for Science Program
will connect you with researchers we support in high-impact work across scientific fields.
Key responsibilities
Build products that unlock scientific discovery
Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude
Work closely with research to make models better at science and engineering
Spend time with users in academia and industry to decide what to build next
Own technical design and delivery end to end, shipping product quickly rather than just executing a spec
Minimum qualifications
Software engineering experience, including owning the technical design and delivery of products
Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on
Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use
Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use
Comfort working directly with technical domain experts and customers, and turning what you learn into product
Enjoyment of solving hard problems together with researchers, scientists, and other engineers
Preferred qualifications
8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field
Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools
Experience as a founder or early engineer at a company building tools for scientists or engineers
Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Brand Strategy Lead at Anthropic, you will own brand architecture and naming strategy across the Anthropic and Claude brands. Claude is becoming part of how people work, build, and discover, and how we organize and name what we make shapes how a broad, global audience of enterprise buyers, developers, researchers, policymakers, and the general public understands it and whether they trust it. This is a foundational role: you'll solidify this function at Anthropic, making the routine calls yourself and bringing the biggest decisions to senior leaders with a clear recommendation.
In this role, you'll own all brand architecture and naming strategy work globally, from how the portfolio fits together as it grows to the names we ship, and you'll build the systems, structure, and processes other teams follow. In a single week, you might map part of the portfolio, generate names, and take multiple recommendations to senior leaders. This is a senior individual contributor role, so you'll scope the work yourself and set a roadmap a year out with minimal direction. You'll partner closely with Brand Design, Product and Brand Marketing, Product teams, IP Legal, and Comms to position new offerings and introduce them to the world.
Key responsibilities
Own all brand architecture strategy across Anthropic and Claude, including how brands, products, models, features, plans, and programs relate to one another
Lead decisions on where new products, models, features, and programs sit in the portfolio, including when an offering extends an existing brand and when it needs its own, and when something earns a name versus a plain description
Own the company's global naming strategy and all naming work from brief to launch, across products, features, events, and programs
Develop names yourself, in volume, from descriptive to coined, and help teams and leaders pressure test them, running research when a decision needs it
Build coherent brand architecture, naming, and terminology systems, including conventions, usage rules, and a source of truth, along with tools and training so teams can make routine calls on their own
Manage intake and review, and get teams to come to us early, while there's still space to think, connect dots, and simplify
Present brand architecture and naming decision docs to senior leaders, and advise them on the hard calls
Track the portfolio over time, auditing and simplifying where it has grown complex
Partner with IP Legal to evaluate options, plan around clearance risk, and take names through clearance
Partner with Product and Brand Marketing to shape how new offerings are positioned, and ensure names work across global markets, including linguistic and cultural checks
Lead alignment across Product, IP Legal, Brand Marketing, and Comms on where a new offering sits, what its name means, how to use it, and how to introduce it to the world
Use Claude throughout the naming process, from generation to testing to governance
Minimum qualifications
Have deep expertise in brand architecture, including deciding where new products and programs sit in a complex and growing portfolio
Have built or rebuilt the brand architecture of a multi-brand portfolio, including how a company brand and its product brands work together
Can weigh branded house, endorsed, and house of brands models, and make a clear recommendation
Are genuinely passionate about brand architecture and naming as a craft, and appreciate how it builds stronger, more coherent brands and audience understanding
Know the range of naming strategies, from descriptive to coined, and have personally generated and shipped names across products, features, events, and programs
Have created systems and processes that codify brand architecture or names, such as nomenclature frameworks, conventions, databases, and governance, that teams at a company or client adopted
Have worked with trademark counsel and can plan around clearance risk
Write clear docs that get decisions made, and have scoped and led cross-company work with minimal direction
Can teach senior leaders why brand strategies and systems should matter to them, defend a system with conviction, and know when an exception is worth making
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Led brand architecture or naming in-house, at a specialty branding agency, or at a consultancy
Restructured a brand portfolio through rapid growth or major change
Experience with AI products, models, or programs, or with technology companies more broadly
Led naming across global markets, including linguistic and cultural checks
Worked across both consumer and enterprise brands
Designed qualitative or quantitative brand architecture or naming research, or managed naming, verbal identity, or research partners
A background in linguistics, copywriting, or verbal identity, and experience using AI tools in creative work
The ability to learn new, often technical, domains well enough to position, name, and brand them
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$255,000
—
$320,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
The Support Operations team at Anthropic is dedicated to optimizing and scaling the Product Support function to deliver exceptional user experiences. As a Support Operations Specialist focusing on Learning and Education, you will be one of the first members of our Learning & Education function, helping own the programs that develop and grow the Product Support team's capabilities. This includes maintaining and evolving our existing onboarding program for new team members, program managing continuing education initiatives (such as "booster" trainings on complex topics or areas needing reinforcement), and partnering on enablement around product releases. You'll also work closely with the broader Product Support team on our internal knowledge management strategy, ensuring our team has the expertise to handle any question that comes their way.
Responsibilities:
Maintain and continuously improve the onboarding program for new Product Support team members, keeping content current as our products and team evolve and adapting the program based on new-hire feedback and outcomes
Program manage continuing education initiatives, including identifying training needs, developing curriculum, and measuring effectiveness
Partner on release enablement efforts, ensuring the Support team has the resources and knowledge to support new products and features
Co-own our internal knowledge management strategy, ensuring our team can efficiently access and contribute to shared expertise
Build feedback loops to understand where the team needs additional support or training
You might be a good fit if you:
Have 4+ years of experience in learning & development, enablement, support operations, or similar roles in a technology company
Demonstrate a data-driven approach, using metrics and insights to continuously improve programs and measure training effectiveness
Possess strong communication skills with the ability to distill complex technical concepts into engaging learning experiences
Excel at cross-functional collaboration, particularly with Product, Engineering, and Support teams
Are proactive and solutions-oriented, with excellent program management abilities
Are comfortable joining a small, growing team early, building on existing programs and helping shape how the function operates
Thrive in a fast-paced environment and can adapt quickly to evolving products and priorities
Have a passion for AI technology and helping others build their expertise
Strong candidates may also have:
Background in instructional design or adult learning principles
Experience scaling or evolving onboarding or L&D programs as a team grows
Experience with support or customer-facing teams specifically
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$165,000
—
$210,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a Strategic Partner Development, Product Partnerships, to manage our product partnerships and integrations with a wide range of content providers, improving Anthropic’s products. In this role, you will be responsible for prospecting, researching, negotiating, and closing deals with a wide variety of content providers necessary to build and maintain Anthropic’s product portfolio. A background in product partnerships at a major tech company will be very beneficial in this role, as is comfort in working at a fast-paced start-up environment.
Responsibilities
Product Partnerships Deal Pipeline Management:
Working closely with Product & Research teams, proactively identify and pursue potential product partnership opportunities through product and customer insights, market research, industry networking, and strategic outreach.
Build and maintain a robust pipeline of prospective product partnerships, tracking leads, and managing the deal flow process from initial contact to closure.
Conduct thorough due diligence on potential partners, assessing their strategic fit, content offerings, and potential value to Anthropic.
Deal Negotiation and Structuring:
Lead negotiations with product partners, crafting mutually beneficial agreements that align with Anthropic's business objectives and legal requirements.
Collaborate closely with Legal, Product, Engineering, Research, and Finance teams to structure deals that balance risk, product impact, and operational feasibility.
Develop comprehensive deal models, product ROI, and cost structures to support effective decision-making.
Partner Management and Relationship Building:
Cultivate and maintain strong relationships with existing product partners, acting as the primary point of contact and ensuring ongoing satisfaction and alignment with partnership goals.
Manage partner communications, addressing concerns, and facilitating seamless collaboration between partners and cross-functional teams at Anthropic.
Continuously explore opportunities to expand and deepen partnerships, identifying new opportunities for collaboration areas that create value for both parties.
You may be a good fit if you
Contribute to the development of product strategies involving third parties, ensuring that partners align with Anthropic's overall product roadmap and long-term vision
Provide strategic guidance on specific kinds of product partnerships to enhance the value proposition of Anthropic's products and services
Conduct ongoing market research and competitive analyses to stay ahead of industry trends, including emerging product partnership models.
Prepare regular reports and presentations for executive leadership, highlighting partnership performance, challenges, and recommendations for improvement or expansion.
Foster strong working relationships with Legal, Product, Engineering, Research, and Finance teams, ensuring effective communication, alignment, and collaboration throughout the partnership lifecycle.
Strong candidates may also
Represent the Product Partnerships unit in cross-functional meetings and discussions, advocating for partnership interests and ensuring alignment with broader organizational goals.
Leverage data and insights to inform product partnership strategies, continually optimizing approaches to maximize value and impact.
Leverage the expertise and support of cross-functional teams to navigate complex partnerships, address challenges, and drive successful outcomes.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$205,000
—
$240,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a talented and driven Recruiter to partner with our Go-To-Market teams. In this role, you'll help build the teams that bring safe, frontier AI to the organizations that depend on it, spanning Sales, Partnerships, Public Sector, and Beneficial Deployments.
GTM is one of the fastest-growing parts of Anthropic, and the market for this talent is competitive and fast-moving. The people we hire need an unusual combination of commercial ability and genuine domain depth. You'll own full-cycle recruiting for a portfolio of GTM roles, act as a strategic partner and trusted advisor to hiring managers and leaders, and help shape how we assess commercial talent as we scale. You'll develop a real understanding of each hiring manager's goals, the markets they serve, and the profiles that succeed against them. Many of the roles you support will be new or evolving, and you'll have significant influence over interview loops, calibration practices, sourcing strategy, and how we talk about this work to candidates who have options. You'll also be one of the people candidates remember. For many, you'll be their first real window into what it's like to work here.
This is an individual contributor role with meaningful autonomy. We expect you to run your searches independently, make judgment calls without waiting for direction, and be the person your hiring managers turn to first on anything talent-related. It's a strong fit for someone who is energized by a high bar, comfortable operating in ambiguity, and genuinely interested in the mission our GTM teams are selling.
Key responsibilities
Own full-cycle recruiting for GTM roles, from intake through offer and close, with a strong emphasis on candidate experience and stakeholder partnership
Build and maintain strategic relationships with hiring managers and leaders, serving as their primary partner on hiring and translating their goals into calibrated role requirements, must-have skills, and assessment criteria
Become an expert in the markets our GTM teams serve, understanding where the talent sits, what motivates it, and what distinguishes a strong candidate from a plausible one
Build and execute sourcing strategies for competitive, specialized commercial talent, including targeted outreach campaigns, market mapping, and cultivating talent pools that don't yet exist as pipelines
Advise GTM leaders on talent market conditions, compensation dynamics, pipeline health, and realistic timelines, including when a search needs to be reframed
Design and refine interview loops, intake practices, and assessment approaches for roles that are new or evolving, partnering with hiring managers to define what "good" looks like before the first candidate enters the process
Maintain an inclusive and consistent process, using structured interviews and calibrated criteria that reduce the influence of bias on hiring decisions
Partner with Recruiting Operations to use pipeline data and metrics to diagnose bottlenecks and inform resourcing decisions, process improvements, and candidate experience
Serve as a thought partner to hiring managers on organizational design questions, including what a team actually needs, how roles should be scoped, and where a hire will and won't solve the problem
Represent Anthropic's mission, culture, and approach to AI safety authentically to commercial candidates
You May Be a Good Fit If You
Have 5+ years of full-cycle recruiting experience, including sourcing, assessing, and closing candidates, ideally with time in a high-growth technology company
Have recruited for commercial or Go-To-Market functions such as Sales, Customer Success, Solutions Architecture, Partnerships, or Marketing
Have a demonstrated ability to partner with and influence hiring managers and senior stakeholders, including pushing back when a search is mis-scoped
Have strong written and verbal communication skills, including a knack for writing outreach that specialized candidates actually respond to
Are able to use pipeline data to diagnose problems and inform decisions
Are proficient with an applicant tracking system and sourcing tools such as LinkedIn Recruiter
Can manage competing priorities and operate with autonomy in a fast-changing environment
Have a passion for AI's potential to positively impact the world, along with a realistic assessment of its risks and limitations
Bring an enthusiastic "roll up your sleeves" mentality and are a true team player
Strong Candidates May Also
Have recruited in a market where the talent you need is scarce, expensive, and heavily courted, and have found creative ways to win
Have experience with Greenhouse and with structured interviewing practices
Be open to non-traditional talent strategies, and enjoy working with hiring managers who are willing to experiment
Have supported technical GTM roles such as Solutions Architects or Forward Deployed Engineers, and can hold a credible conversation about technical scope
Have experience building or scaling a recruiting function, process, or interview loop from an early stage
Have a track record of building high-performing teams in a rapidly scaling environment
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$295,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Finance Systems Lead, International
About the role
We are seeking a Finance Systems Lead to join our Finance Systems team at Anthropic, based in our Dublin office. Dublin is our main international finance hub, and in this role you will lead finance systems for our international entities, partnering closely with the US-based leads and product owners for accounting, revenue, tax, and treasury and strongly influencing the approach. You will find what local teams need, shape international priorities, and bring clear recommendations to those partners, while leading the people who build and support these solutions and keeping a single, consistent global platform.
This is a critical role that will directly shape how Anthropic's finance organization operates as we expand internationally and scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with local Finance and Accounting teams, implementation partners, engineering teams, and the wider Finance Systems team to build a world-class financial systems foundation across our global footprint.
In this role, you will:
International Finance Systems Leadership:
Lead the international finance systems agenda for the Dublin finance hub and other international teams (including EMEA and APAC), finding the problems worth solving without waiting to be asked and partnering closely with the product owners for each finance area, with strong influence on the approach.
Vision, Strategy & Roadmap:
Shape the international vision and strategy with business owners and US product owners, map process maturity, and turn goals into a rank-ordered international roadmap that aligns with each domain's roadmap.
Business Partnership:
Build trusted relationships with local finance, accounting, tax, and treasury leaders, and work closely with the US-based leads and product owners to agree the approach.
Systems Design:
Shape international design decisions with the relevant product owners, build for patterns rather than one-off scenarios, and align with global owners on anything that changes the shared platform.
Delivery Across the Landscape:
Drive delivery of international priorities with the relevant product owners, including multi-book and secondary ledgers, statutory reporting, intercompany, assets and leases, and local requirements such as VAT, e-invoicing mandates, and international payment formats (e.g. SEPA / ISO 20022).
Leading Through Others:
Lead business systems analysts, contractors, and implementation partners across time zones, coaching them and reviewing their designs and configuration.
Operational Health:
Make sure international users are supported through month end and quarter end close, with clear ownership of issues and of work handed over from the US time zone.
Scaling & Automation:
Plan how our systems scale as we enter new countries, identifying opportunities for process improvement and automation, including with AI tooling.
Minimum Requirements
Have 10+ years of experience in finance systems, ERP implementation, or finance transformation, with at least 3 years as the accountable lead for a program or region
Have led a multi-country ERP or finance systems program from requirements through go-live and into operation, as the owner rather than a workstream member
Have worked in multi-entity, multi-currency, and multi-GAAP environments, including statutory reporting
Have working depth across at least three of Record to Report, order to cash and revenue, Procure to Pay, tax, and treasury
Possess a strong understanding of financial accounting under US GAAP and IFRS, including general ledger, consolidation, intercompany, and local statutory reporting
Have strong systems design judgment: you build for patterns, know what good architecture looks like, and can read and challenge configuration
Find the work yourself: you have started programs nobody assigned, set a roadmap with little direction, and brought clear options to senior finance leaders
Have led business systems analysts, consultants, and implementation partners across time zones, and partner well with controllers and with tax and treasury leaders
Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines
Preferred Requirements
Deep Workday Financials experience (comparable depth in Oracle Cloud or SAP S/4HANA is also welcome)
Product practice such as PRDs, goals and success criteria, and rank-ordered roadmaps
An accounting qualification (e.g. ACA, ACCA, CIMA, or CPA)
Experience with Workday Business Assets and lease accounting under IFRS 16 / ASC 842
Experience with Workday Accounting Center or Prism Analytics for journal automation and subledger accounting
Experience with VAT, e-invoicing mandates, or international payment formats and banking integrations (e.g. SEPA, ISO 20022)
Experience supporting Workday Procure to Pay functional areas, including Procurement, Supplier Accounts, and Banking and Settlement
Knowledge of SOX compliance requirements and internal controls for financial systems, including multi-country environments
Experience supporting entity setup or expansion into new countries
Technical proficiency with SQL, Python, or Workday reporting tools for data analysis and integration support
Big 4 or Workday partner implementation experience, or prior experience at high-growth technology companies scaling toward IPO readiness
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€195.000
—
€230.000 EUR
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Web Design Manager at Anthropic, you will lead the enterprise web design team responsible for how businesses experience Anthropic on the web. Our website is often the first place enterprise buyers encounter Claude, and the pages your team ships need to make complex, technical products feel clear, distinctive, and trustworthy. You'll bring a strong art director's eye to every project, set the craft standard, shape design direction for the next stage of our enterprise web presence, and build a team that does the best work of their careers.
In this role, you'll own the enterprise web design practice: setting priorities, guiding projects from brief to launch, and holding a high bar for visual quality, storytelling, and performance. We're looking for someone who cares deeply about craft and knows how to use art direction (imagery, typography, motion, and composition) to tell a clear, memorable story on every page. You'll partner closely with enterprise marketing as your main day-to-day collaborators on priorities, messaging, and launches, and work alongside web engineering, web strategy and growth, brand and creative, sales and customer teams, product, and external agency partners to ship work that is both beautiful and effective.
Key responsibilities
Lead and manage the enterprise web design team, including hiring, coaching, feedback, and career growth
Own the craft standard for enterprise web design, ensuring pages are distinctive, clear, and performant
Set clear priorities and ways of working for the team in partnership with marketing and design leadership
Guide projects from brief to launch, turning marketing asks into clear creative direction
Provide hands-on art direction across imagery, illustration, typography, motion, and layout so every page tells a cohesive, compelling story
Coach designers on craft and visual storytelling, giving specific, actionable feedback that raises the quality of the work
Partner closely with campaign, product, and segment marketers on messaging, launches, and day-to-day priorities
Develop the design direction for the next stage of Anthropic's enterprise web presence, in support of company goals
Partner with web engineering to ensure designs ship with high quality and strong performance
Collaborate with SEO, analytics, and growth partners to measure results, run experiments, and improve conversion
Present design work and rationale to stakeholders, explaining decisions simply and pushing back clearly when needed
Build consistency across channels in partnership with brand, creative, and copy teams
Manage external agencies and design partners on larger web projects
Track the performance of shipped work and use data to inform, not replace, creative judgment
Minimum qualifications
Have deep web design experience, including directly managing web or creative designers
Have a portfolio of shipped web work that demonstrates strong craft, storytelling, and a clear point of view
Have strong art direction skills and a sharp eye for detail, with experience directing visual concepts from idea to polished execution
Think like a storyteller, shaping narrative and pacing across a page or campaign so design carries the message
Have designed for complex, multi-audience websites at scale, ideally for technical or enterprise products
Can turn complicated products into pages that are distinctive and convert
Are comfortable holding a high bar on tight timelines and making smart tradeoffs under pressure
Work well with marketing partners, translating asks into direction and pushing back with clarity and care
Understand web performance and use data and experiments well, without letting metrics replace creative judgment
Enjoy building teams, giving direct feedback, and helping designers grow
Can explain design decisions simply to stakeholders across functions
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience at companies known for exceptional web craft on technical products
Familiarity with enterprise buyer journeys and designing paths to conversion
Experience partnering with SEO, analytics, and growth teams on experimentation programs
A background working closely with engineers on design systems, performance, and implementation quality
Experience managing agencies or external design partners on large web initiatives
Strong writing or content design sensibility that strengthens storytelling on the page
Experience setting design direction during periods of rapid company growth
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$305,000
—
$385,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic has done pioneering work examining the economic impacts of AI. The AI & Rule of Law team takes an analogous approach to a different question: how will AI affect our constitutional democratic institutions?
Increasingly powerful AI systems will put pressure on societal functions at every level — the courts, legislatures, electoral systems, oversight bodies, and the legal frameworks that hold democratic governance together. Our team exists to ask hard questions about those vulnerabilities, and to seek out strategies for protecting democratic freedoms — in the short and long term, through both technical and policy levers.
This is early, high-stakes research. The team is small, the problems are genuinely unsolved, and the work will matter.
We are looking for someone with deep expertise in both AI and at least one of: government, political science, or public policy. The ideal candidate understands the technical landscape well enough to reason about AI capabilities and risks, and understands democratic institutions well enough to see where those risks become structural threats.
Key responsibilities
Projects on this team are illustrative rather than fixed — we expect the research agenda to evolve as both AI capabilities and institutional pressures change. Current and expected focus areas include:
Making fundamental contributions to the development and expansion of our public data and research on how people use AI for politics, including regular reports and deep dives on elections and policy topics, and grow into leading this work over time
Designing and conduct empirical research on AI’s political effects, drawing on external data sources and the privacy-preserving measurement systems internally
Designing, running, and analyzing experiments on systems of many AI agents, testing whether and when tools from political economy (rules, monitoring, voting, dispute resolution) help agents govern themselves and stay under human oversight
Developing new methodological approaches for studying AI’s impact on:
Developing measurement and causal-inference tooling to help Anthropic evaluate the downstream political consequences of its own training, product, and policy decisions
Building and maintaining relationships with academic institutions, policy think tanks, and other research partners, and serve as the point of contact for outside researchers who use our data
Working cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Translating research insights into actionable recommendations for model training, product decisions, and policy discussions
Amplifying external engagement through research publications, policy briefs, convenings, and presentations to diverse stakeholders
Minimum qualifications
A primary degree in political science, or a closely related field at the Ph.D. level
A computational research background in Political Science, Economics, or a related field
Demonstrated ability to produce rigorous, public-facing work — scholarship, policy analysis, government output, or a published body of writing
Preferred qualifications
Experience relevant to the study of AI’s impact on politics
Track record of empirical research, particularly studies combining novel data sources and game theory or those implementing frontier methods in causal inference
Comfort operating with significant autonomy in an environment where the problems are new and the playbook is still being written
At least five years of relevant experience in academia, industry, or government
Some Examples of Our Recent Work
Preparing for the 2026 US midterms
Measuring political bias in Claude
Clio: Privacy-preserving insights into AI use
Introducing The Anthropic Institute
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$295,000
—
$345,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
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.
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. 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 Preferences.
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.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Sydney, Australia
Seoul, South Korea
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San Francisco, CA | New York City, NY | Seattle, WA
leadSan Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY
leadDublin, IE; Lead business systems analysts, contractors, and implementation partners across time zones, coaching them and reviewing their designs and configuration; Make sure international users are supported through month end and quarter end close, with clear ownership of issues and of work handed over from the US time zone; Have led business systems analysts, consultants, and implementation partners across time zones, and partner well with controllers and with tax and treasury leaders
San Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY; Washington, DC
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