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's Safeguards team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. A large and growing share of Claude usage reaches customers through our cloud partners: Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. As the Enforcement Operations Lead for Multi-Cloud, you'll own how Anthropic detects, reviews, and acts on misuse across those surfaces, where the partner owns the customer relationship and often the data path. You'll build the operating model, partner agreements, and documentation that make enforcement on every cloud consistent, auditable, and fast.
This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams and companies to break new ground and drive work to completion. This work is deeply cross-functional. You'll partner closely with our product managers, policy experts, Safeguards engineering, Legal, and the trust & safety and operations teams across our Cloud partners to maintain a consistent and safe enforcement ecosystem.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
Key responsibilities
Own the end to end enforcement lifecycle on partner surfaces, from detection and review through action, customer communication, and appeal
Define enforcement paths for each partner's operating model, including how actions are requested, executed, and confirmed when the partner controls the account
Manage SLAs for review, escalation, and action, and evaluate performance against them on an ongoing basis
Develop and maintain SOPs and escalation guides for all enforcement workflows, ensuring consistency across clouds
Establish red-teaming, Quality processes, and operationalize shared metrics
Stand up paired investigations with partner threat intelligence teams, including case referrals, indicator sharing, and paging for high severity incidents
Own enforcement metrics across partner surfaces and report them to Safeguards leadership, partners, and regulators
Minimum qualifications
Extensive experience in trust and safety operations, enforcement, threat intelligence, or a related field
Have managed external partner or vendor relationships where you did not control the other side's systems or priorities
Comfortable working across policy, legal, engineering, and operations teams to translate requirements into practical workflows
Experience building enforcement programs from the ground up, including SLAs, escalation paths, and quality measurement
Highly organized, with a track record of maintaining rigorous documentation and SOPs in fast-moving environments
Clear and precise communication, both in writing and verbally, across technical and non-technical audiences, including partner executives
Energized by the challenge of building scalable systems in an environment where not everything is already figured out
Care deeply about the responsible deployment of AI and the role enforcement operations plays in that mission
Preferred qualifications
Direct trust & safety, abuse, or security operations experience at AWS, GCP, or Azure, or at a company that ships through their marketplaces
Experience designing incident response or escalation processes that span more than one company
Familiarity with data access controls, audit requirements, or privacy constrained review environments
Experience with law enforcement referrals, regulatory reporting, or compliance programs
Background in AI safety, content moderation, fraud, or abuse detection systems
Comfort working with data and metrics to inform operational decisions and surface trends to leadership
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:
$285,000
—
$330,000 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.
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.
About Us
The Law Offices of Sabrina Li, P.C. is a leading, full-service U.S. immigration law firm with offices in Los Angeles, Pasadena, Santa Ana, and Dallas, as well as international operations across Asia, Africa, and Central and South America. The firm prioritizes professional development, clear career pathways, and a culture of accountability and respect.
The Opportunity
Seeking a tech-savvy, proactive HR professional with excellent communication skills to support HR team across recruitment, onboarding, compliance, and training. The role involves working with firm leadership to maintain smooth HR operations and improve HR processes using AI and automation.
Key Responsibilities
HR Operations & Compliance:
— Support employee onboarding, helping new hires get proficient with firm's technology stack within first week.
— Assist with HR document, process, and compliance audits; monitor completion of documentation, certifications, training, and policy acknowledgements.
— Follow up with employees and managers on outstanding compliance items.
— Maintain accurate HR records within Rippling and other HR systems.
Recruitment & Talent Support:
— Support sourcing for open roles, including candidate outreach and headhunting for hard-to-fill positions.
— Manage candidate pipelines and update hiring managers on status.
— Assist with background and reference checks and credential verification.
— Participate in candidate interviews alongside hiring managers.
Training & Development:
— Maintain and update training curriculum, onboarding materials, and learning resources.
— Assist in creating SOPs, workflow documentation, process maps, and training materials.
— Support development of assessments and knowledge checks to track training completion.
Process Improvement & Automation:
— Identify opportunities to streamline HR workflows through automation and AI-powered tools.
— Help maintain workflows within monday.com and other operational platforms.
Qualifications
— Bachelor's degree in Psychology, Human Resources, Business Administration, Management, or related field.
— Tech-savvy with ability to quickly learn and adapt to new tools, systems, and platforms.
— Excellent written and spoken English with strong, proactive communication skills.
— Proactive and self-directed, able to anticipate needs and take initiative in fast-paced, fully remote environment.
— Minimum 2 years experience in HR operations for U.S.-based company, including onboarding, compliance, or employee lifecycle support.
— Experience using monday.com and HRIS platforms such as Rippling.
— Experience creating clear documentation, SOPs, or process materials.
— Comfortable using AI tools to support content creation, documentation, and process efficiency.
— Strong attention to detail and ability to manage multiple priorities.
— Preferred: recruitment or sourcing experience including candidate outreach, vetting, and interviewing.
— Preferred: experience with Canva or similar tools for training or communication materials.
Why Join Our Team?
— Stable, remote opportunity with a well-established U.S.-based law firm.
— Competitive compensation with performance-based bonuses.
— Fully remote role within a diverse global team.
— Paid time off including U.S. federal holidays, sick leave, and annual leave.
— Pacific Time-aligned working hours with reasonable flexibility.
— Opportunity to grow with the firm's HR function as it scales.
— Structured onboarding and clear expectations from day one.
— Supportive and collaborative work environment built on accountability and continuous improvement.
— Thoughtful company culture including birthday recognitions and team appreciation initiatives.
Working Hours
— Full-time role, 8 hours per day (excluding 1-hour break).
— Scheduling flexible but requires minimum 5–6 hours overlap with Pacific Time operating hours.
Application Process
— Candidates may be asked to submit resume/CV, complete communication and presentation assessments, provide proof of qualifications and references.
— Compensation verification may be conducted for shortlisted candidates.
Additional Information
— Fully remote, South Africa-based role.
— Engagement as independent contractor; tax compliance is contractor's responsibility.
— 3-month probationary period applies.
— Equal opportunity employer welcoming applicants from all backgrounds.
— Contacting offices by phone, email, or social media regarding this position is prohibited and will result in disqualification.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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
Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you.
Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else.
We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before.
The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works.
Responsibilities
Teach in every format.
Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems.
Teach the teachers.
Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material.
Empower admins.
Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics.
Build fast with Claude.
Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it.
Bring field signal back to product.
Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it.
Be the technical voice in the room.
Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads.
Travel.
Expect 30 to 50%, in bursts around onsites, workshops and events.
You may be a good fit if you have
5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences.
Current engineering range.
You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it.
Big-stage presence.
You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you.
Range in one conversation.
You can go from banter to a rigorous design discussion, and both feel natural.
Care for people.
You do right by a struggling customer, and you won't leave a confused room behind.
Initiative.
You build things without waiting for permission, and you say when an idea is half-formed, including your manager's.
Steadiness
when priorities shift, timelines are short and colleagues are under pressure.
Comfort with ambiguity
in a fast-moving industry and product suite.
A stake in safe AI.
You care that large organizations deploy AI responsibly, and you want to help them do it.
You love being on the frontier.
You want to work at the edge of what’s possible and help define what comes next.
Strong candidates may also have
Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA).
Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI.
Time with regulated industries or with systems-integrator partners.
A public record of technical teaching: talks, courses, videos or writing.
An interest outside technology you can talk about with the same energy.
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:
$250,000
—
$365,000 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.
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're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up.
Responsibilities:
Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch
Establish metrics and tooling to measure and improve search quality
Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency
You may be a good fit if you:
5+ years building complex distributed systems in production
Solid grasp of search fundamentals: indexing, retrieval, ranking
Strong coding skills in Python, Go, Java, or similar languages
Hands-on experience with high-volume data processing architectures
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:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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
We're looking for a Strategic Projects Lead to take on recruiting's most complex, cross-cutting work: the high-stakes decisions and initiatives that span many teams and don't fit neatly into any one group's remit. You'll bring the structure, coordination, and follow-through that help these get made well, and see them through as the company scales.
You'll work across every team that touches hiring, and you'll move work forward through partnership, not ownership. The job is influence: bring the right people together, make sure decisions are principled and well-documented, and keep recruiting's approach coherent over time. You'll be the most senior individual contributor for how recruiting operates, and success depends as much as on building trust across senior stakeholders with different priorities as it does on building good systems.
This is a high-autonomy role for someone who thrives in complexity and ambiguity. You know recruiting well enough to feel where it breaks, and you're energized by holding several very different problems at once and driving each to a clear resolution.
Key responsibilities
Take on recruiting's biggest ambiguous bets: define the problem, ship the smallest testable version, and hand each one off as a repeatable program before moving to the next
Own the operating rhythm across the teams that support recruiting, so we plan, review, and decide as one function
Spot recurring friction and fix the system behind it, not just the case in front of you
Own process design when company-wide changes run through recruiting, and drive them to real adoption with the partners who own the build and the comms
Be recruiting's DRI for headcount and workforce planning, including hiring pace and readiness for new regions
Own the operating standard for interviewing, like scheduling lead time and interviewer load, and lead the cross-team diagnosis when it slips
Turn analytics into standards and simple SOPs, and build documentation a new leader could pick up without you in the room
Keep the right people informed at the right time without becoming a bottleneck, and stay fluent in our recruiting systems and data so you can call the downstream impact of any decision
You'll partner directly with the leads for Recruiting Systems, Analytics, Interview Programs, and other teams. You won't run their teams or build their systems, but you'll know each well enough to make calls that hold up across all of them.
Minimum qualifications
Have 8-10+ years in program management, business operations, chief of staff, or people/talent roles at a fast-growing company, with increasing scope over time
Have been part of a talent team or partnered closely with one, and understand how recruiting operates day to day
Think in systems: you see how the pieces connect, anticipate downstream effects, and design fixes that work across team boundaries
Have owned several complex workstreams at once and made hard prioritization calls without much guidance
Set the strategy and vision for your area rather than executing someone else's plan
Create structure and clarity in genuinely ambiguous environments
Have put AI to work in real workflows: redesigning process, automating the repetitive layer, and shipping faster
Test the smallest version of an idea in the real world before building the big one, and say clearly what you're not doing and why
Can lose a decision cleanly: disagree, commit, and execute with full credibility, knowing which calls are reversible and which aren't
Have taken a big process or policy change through an organization end to end and made it stick
Close the loop, hold the bar, and finish the unglamorous work
Preferred qualifications
Experience running recruiting or talent operations at global scale
Working knowledge of recruiting compliance, like OFCCP, GDPR, and regional employment law, and how it shapes process and systems decisions
Experience in deep-tech environments with technical recruiting complexity
Experience operating across multiple time zones and jurisdictions
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:
$235,000
—
$300,000 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.
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
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 Head of Strategic Startups at Anthropic, you will own the strategy, organization, and commercial outcomes for Anthropic's relationships with the world's most important AI-native startups. This is the segment where the next generation of category-defining companies is being built on Claude, and where Anthropic's commercial, product, and partnership decisions compound fastest.
You will lead a team of Account Executives who own Anthropic's most strategic AI-native accounts, and be accountable for a revenue line spanning expansion, retention, and net-new strategic wins. Beyond running the business, you will define what "strategic" means for Anthropic in the startup ecosystem: which companies we bet on, how we structure partnerships with them, how we engage investors and accelerators, and how the signal from this segment shapes our product roadmap and go-to-market model.
You will be a member of the GTM leadership team and a visible voice for Anthropic in the startup and venture community, helping ensure that the companies defining the future of AI choose to build it safely, and with us.
Responsibilities:
Set the multi-year strategy for Anthropic's Strategic Startups business, including segmentation, coverage model, partnership structures, and investment priorities, and secure executive alignment on it
Build, lead, and scale a high-performing team of Account Executives, including hiring, coaching, and developing sellers and establishing a strong operating cadence across the team
Own the segment's revenue plan and P&L-level outcomes, including forecasting, capacity planning, quota design, and resource allocation, with direct accountability to GTM and company leadership
Personally lead Anthropic's relationships with a portfolio of the highest-leverage AI-native startups, engaging founders, CEOs, and CTOs on multi-year commercial, technical, and partnership agreements
Design and negotiate novel commercial and partnership structures (credits programs, strategic pricing, co-development, joint go-to-market) that create durable, mutually beneficial relationships with breakout companies
Serve as the executive voice of the startup segment inside Anthropic, bringing structured customer and market insight to Product, Engineering, Pricing, and Finance and influencing roadmap and packaging decisions accordingly
Partner with Enterprise Sales, Solutions, Partnerships, and Customer Success leadership to define handoffs, shared accounts, and escalation paths as startups scale into enterprise customers
Establish the systems of record for the segment: account planning, customer health, executive business reviews, deal governance, and the metrics leadership uses to run the business
Represent Anthropic externally with founders, investors, and at industry events, articulating our approach to safe, frontier AI and why it matters for companies building on it
Lean in to support building Anthropic's presence across the startup ecosystem.
You may be a good fit if you:
Have 15+ years of experience in enterprise or technical software sales, with 7+ years leading sales teams
Have been a founder or have worked previously as a Business Development leader securing large contracts.
Have owned a significant revenue line with full accountability for plan, forecast, and results, and have a track record of consistently outperforming it
Have built or materially scaled a sales or account management organization, including designing coverage models, compensation plans, and operating rhythms
Bring deep, first-hand familiarity with the startup ecosystem, including relationships with founders, venture investors, and accelerators, and an instinct for identifying which early-stage companies will become the ones that matter
Have sold or led sales of technical, consumption-based, or platform products (APIs, infrastructure, developer tools, ML/AI), and are credible in conversations with technical founders and CTOs
Have structured and closed complex, non-standard commercial and partnership agreements at the executive level
Are a strong cross-functional leader who has influenced product, pricing, and go-to-market decisions well beyond your own organization
Are analytically rigorous and comfortable making decisions with imperfect data in a rapidly evolving market
Are motivated by Anthropic's mission and care about how frontier AI is deployed, not just how fast it grows
Strong candidates may also:
Have led a startups or emerging-companies segment at a cloud, infrastructure, or AI platform company through a period of hypergrowth
Have founder, operator, or venture experience, and understand the pressures and decision-making of a high-growth startup from the inside
Have built ecosystem programs (startup credits, accelerator partnerships, investor programs) that meaningfully drove adoption of a developer platform
Have hired and developed leaders who went on to run their own organizations
Have experience leading through a market where the product and competitive landscape shifts quarterly
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:
$550,000
—
$750,000 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.
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 Deployment Manager on the Beneficial Deployments team, you will guide customers from a signed contract into a live, governed, and adopted deployment so that customers achieve tangible impact rather than simply incremental improvement with Claude. You'll guide organizations from contract signature to production deployment across Claude for Enterprise, Claude Code, and our API products, fundamentally changing how they work and deliver on their missions.
You'll be the technical hands that switch Claude on. Before any organization can drive adoption, before any champion can ship their first workflow, someone has to connect Claude to the customer's identity provider, get the right people provisioned into the right workspaces, and walk their CISO through how it all comes together. That's your work. You turn "we've signed the contract" into "our employees can log in, with the right access, under the right policies, the way our security team expects."
This is a high-leverage role where you'll pioneer scalable activation methodologies that enable hundreds of nonprofit customers to unlock transformative use cases and realize measurable outcomes at unprecedented speed. You won't just follow playbooks. You'll design the frameworks and repeatable processes that can be deployed consistently across diverse customer environments, and you'll shape them into programs that reach customers we could never serve one at a time.
You'll operate at the intersection of technical deployment, enablement, and program design. Some days you'll be in the weeds with a customer's IT team debugging a SAML assertion; other days you'll be stepping back to ask how the last ten deployments should change the next hundred. Your systems-thinking approach will directly shape how we activate customers, and your strategic management will ensure every customer achieves meaningful outcomes within their first 90 days. By identifying patterns across activations, you'll build replicable approaches to organizational change while maintaining the agility to customize solutions for each customer's unique transformation journey.
Responsibilities:
Own the complete activation journey from contract signature to production deployment, orchestrating cross-functional resources and customer teams to ensure rapid time-to-value across Claude for Enterprise, Claude Code, and API products.
Deploy Claude inside customer environments. Configure and troubleshoot SSO (SAML), SCIM and JIT provisioning, MCP connectors, admin policy templates, and seat-assignment logic across Okta, Entra ID, Ping, and Google Workspace. Deliver informative transitions to Support for deeper issues that require investigation or engineering support.
Act as a trusted advisor to customer CISOs and CTOs on governance and enterprise setup. Bring a clear point of view on best practices, help security and IT leadership make the design decisions that determine whether a deployment holds up over time
Light up the capabilities that make Claude valuable. Enable and govern MCP connectors to the customer's systems, ensure Skills, Projects, and other capabilities are turned on and configured for their use cases, and work with their IT team on the approvals and OAuth consent this requires, so that day one feels ready
Design and scale activation frameworks by identifying patterns across deployments and building templated playbooks that balance standardization with customization for breakthrough outcomes.
Turn playbooks into programs. Package what works into repeatable, increasingly self-serve motions (deployment checklists, admin enablement sessions, onboarding cohorts, Claude-powered guidance) so that activation quality no longer depends on you being in the room.
Drive organizational transformation by developing change management strategies, rollout plans, and Train-the-Trainer programs that build internal AI champions and catalyze adoption across customer organizations.
Define and track success metrics across activation rate, time-to-value, customer satisfaction, and operational efficiency, using data to continuously optimize the motion.
Channel customer insights back to Product, Support, and Security teams, serving as voice of the customer so that repeat deployment blockers get solved once.
You may be a good fit if you have:
5+ years in customer-facing technical roles such as implementation management, technical account management, technical onboarding, solutions consulting, or customer success, with a track record of running multiple concurrent enterprise deployments with documented handoffs.
Experience serving nonprofits or mission-driven organizations. You've worked with (or inside) them and you understand how they differ from commercial enterprises.
Hands-on, sustained ownership of enterprise identity integration work. SAML, OIDC, SCIM v2, and JIT provisioning across at least two major identity providers (Okta, Entra ID, Ping, Google Workspace). You can debug a broken SAML assertion or a misconfigured SCIM attribute map without escalating, and you know when a Support handoff is the right call.
Experience advising CISOs, CTOs, or IT leadership on enterprise governance and setup for a SaaS or AI platform, with an informed point of view on org topology, access models, RBAC, and OAuth.
Working knowledge of security and compliance frameworks (SOC 2, ISO 27001, HIPAA, GDPR) sufficient to anticipate what a customer's security review will ask, and to know when to bring in our AI Security Specialist.
You've designed, shipped, and measured programs that serve many customers at once: onboarding cohorts, enablement series, admin academies, lifecycle or engagement motions. You naturally ask "how might we scale this?", turn 1:1 moments into 1:many programs, and instrument what you build so you know what's working.
Hands-on fluency with AI in your own workflow. You've prototyped, generated content, analyzed accounts, or replaced internal processes with LLMs, and you can talk concretely about what worked, what didn't, and what's next. You don't wait for AI tooling to arrive; you build it.
Organizational change and enablement experience including developing rollout strategies, navigating stakeholder resistance, building internal champions, and designing programs that drive adoption at scale.
Comfort building in ambiguity. This is a new role on the team, and what you build becomes the template. You'll thrive creating structure where none exists, adapting quickly as the business evolves, and learning continuously.
Data-driven and metrics-oriented. Experience setting and tracking success metrics from day one, using data to optimize approaches, and demonstrating impact to diverse stakeholders.
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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.
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:
$200,000
—
$265,000 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.
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: Remote-Friendly (Travel Required) | Canada
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 Transaction Manager for Canada at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Canadian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution.
Responsibilities:
Help identify data center capacity opportunities and options through management of network relationships across data center developer, broker, and power contacts.
Lead the RFP and commercial sourcing process for Canadian data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets
Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
Serve as project manager for cross-functional stakeholder engagement, coordinating due diligence teams, internal and external legal counsel, network organization, platform
Act as the single point of contact (SPOC) for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing process status
Develop and maintain transaction timelines, tracking critical path items and proactively identifying risks that could impact deal closure
Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint
Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
-Manage complex digital infrastructure development activities to a construction ready state, through a developer or directly
Marry the right projects, capital stacks and developers at the right stages
Support the development of the long term data center supply strategy
You may be a good fit if you:
Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
Demonstrate exceptional communication skills, able to serve as an effective liaison between internal stakeholders and external partners
Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
Have a collaborative mindset and can build trust with diverse stakeholder groups across the organization
Expert in the Canadian Leasing Compute space
It's a bonus if you:
Have experience with data center or hyperscale infrastructure transactions specifically
Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
Have worked with legal teams on complex lease negotiations or infrastructure agreements
Possess familiarity with data center developer ecosystems and market dynamics
Have experience in high-growth technology companies managing infrastructure expansion
Understand utility coordination, power procurement, or energy considerations in data center transactions
Have a background in corporate development, strategic partnerships, or infrastructure investment
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.
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
We are looking for an experienced Seoul-based Public Policy expert to lead Anthropic’s policy engagement in South Korea. In this role, you will advance practical AI governance and support Anthropic’s commercial expansion by building strategic relationships with Korean government authorities, developing substantive policy positions and papers, and engaging in regular outreach to drive progress in AI policy and AI safety. You will draw upon established relationships with key policymakers and their staff to shape how Korea approaches AI regulation and safety during a critical period of governance development.
As part of this role, you will collaborate with a dynamic, geographically distributed policy team on a variety of projects, including analyzing policy proposals, drafting submissions to requests for public comment, planning and executing policy campaigns in Korea, and providing policy advice to technical colleagues. This is a foundational hire — you will be building Anthropic’s policy presence in Seoul from the ground up.
Key responsibilities
Conduct comprehensive mapping of key Korean AI policy stakeholders and build strategic relationships with government officials, think tank researchers, and civil society leaders across the national and, where appropriate, sub-national governmental levels
Brief a diverse set of policy and research actors looking to better understand AI safety and AI policy opportunities in the Korean context
Convene diverse stakeholders and speak at policy events such as research announcements, discussion panels, or workshops on AI safety topics
Analyze emerging legislation and develop Anthropic’s engagement strategy, including preparing substantive policy submissions and response documents
Support senior colleagues in external engagements by preparing meeting briefs and taking action on follow-up requests
Develop new programming and generate opportunities for Anthropic to regularly engage with Korean policymakers, think tanks, and non-profit organizations
Collaborate with policy and technical teams to translate Anthropic research into concrete policy proposals, stakeholder education, and thought leadership opportunities tailored to the Korean regulatory environment
Develop and amplify public submissions, responses to requests for information (RFI), and policy memos written by Anthropic to drive positive change in AI policy
Partner with non-profit organizations and academic researchers to publish discussion papers and policy memos on how to enable responsible AI research and development
Develop and execute a convening strategy, including workshops or panels that position Anthropic as a thought leader in AI safety and governance in South Korea
Minimum qualifications
Preferred 10+ years of professional experience in government, technology, legal, and/or other policy-relevant environments
Have a track record of effective, information-rich advocacy with Korean government authorities at the federal and/or state level
Have experience analyzing legislation and engaging in regulatory processes
Are energized by agency — you will be the first policy hire in Korea and will be building the operation from scratch
Enjoy drafting and executing complex policy campaigns that move the needle
Thrive when engaging with policymakers, civil society, and think tanks to translate complex technical topics into accessible and relevant information
Excel at translating high-level vision into executable operational plans
Have demonstrated an ability to quickly get up to speed on complex technical areas and policy dynamics
Are deeply curious about frontier technological research and are eager to work closely with technical colleagues to translate new discoveries into policy outcomes
Are fluent in Korean and English
Preferred qualifications
AI/technology industry experience (heavily preferred)
Experience working with international companies or organizations
Academic or think tank background in AI policy or related fields
Experience in both government and private sector roles
Familiarity with intelligence and security cooperation frameworks
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.
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; 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
You will be a strategic contributor to our cybersecurity marketing efforts, positioning Claude as the trusted AI partner for CISOs, security operations teams, threat intelligence analysts and beyond. This is an important role that requires deep understanding of the cybersecurity ecosystem combined with the ability to craft compelling positioning and messaging around AI's benefit to defenders and the organizations they protect.
Working closely with sales, product, partnerships and communications teams, you'll be responsible for bringing cybersecurity launches, features, and messaging to market through various channels while ensuring cohesive positioning across audiences.
This role needs someone who can set vision and strategy while being hands-on with execution, from launching product capabilities for security operations and sector-specific tools to quarterbacking demand generation campaigns that drive adoption. Working at the intersection of AI safety, the evolving threat landscape, and campaigns, you'll help shape industry conversations around AI's role in cyber defense that drive measurable pipeline and impact results.
Key responsibilities
Coordinate and execute a comprehensive marketing strategy for cybersecurity across key segments: enterprise security operations, threat intelligence, detection and response, governance/risk/compliance, MSSPs and more
Craft differentiated positioning and messaging across solutions pages, campaign materials and content for distinct audiences within the vertical
Support go-to-market for product and solution launches including sector-specific offerings and relevant MCP integrations and skills (SIEM, SOAR, EDR, threat intelligence platforms, etc.)
Partner with the alliances team on joint go-to-market with cybersecurity partners, including shared positioning, launch coordination, and integrated campaign moments across security platform and services partners
Partner with communications on executive thought leadership regarding AI's potential to tip the balance toward defenders, including flagship announcements in the context of key security initiatives
Work with the social and content teams on a cybersecurity content calendar that highlights use cases, case studies, and partnership announcements
Drive thought leadership initiatives and speaking / event opportunities relevant to the security community
Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for security-led enterprise accounts
Report on which channels and campaigns are driving results and identify opportunities for iteration
Minimum qualifications
Have direct experience marketing software products to security audiences, including familiarity with how CISOs, SOC leaders, and security engineering teams evaluate and buy technology
Thrive in a 0-to-1 environment — can build processes where none exist and navigate ambiguity across a complex stakeholder landscape
Are an adaptable generalist with exposure and competency within multiple marketing functions (content, campaigns, social, analytics, sales enablement)
Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for both technical practitioners and non-technical audiences
Are a quick learner who can absorb context on security workflows, buyer dynamics, and compliance frameworks rapidly
Excel at cross-functional collaboration — comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams
Are passionate about AI's potential to strengthen cyber defense while maintaining focus on responsible, safe deployment
Preferred qualifications
Have 8+ years of marketing experience with at least 2 years of experience in cybersecurity, security operations, or the broader security technology space
Have worked in or with security organizations and understand the distinct priorities and decision-making dynamics of security buyers
Possess experience with event marketing at security conferences (e.g., RSA Conference, Black Hat, Gartner Security & Risk, ISAC events)
Have a background in enterprise sales enablement, particularly in complex or regulated industries
Show a track record of building marketing programs from scratch at a growth-stage company
Demonstrate interest in the responsible deployment of AI in security contexts, including an awareness of the dual-use considerations unique to cybersecurity use cases
Role-specific policy:
For this role, we expect staff to be able to work from our Washington, D.C. or San Francisco office at least once a month for cross-functional stakeholder engagement. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
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:
$320,000
—
$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.
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
We're seeking an experienced Social Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface on public social platforms.You'll help stand up the function from scratch and operate it day-to-day. You'll actively monitor brand and product conversations, triage emerging issues, and own social escalations end-to-end. During live escalations, you'll build real-time social reports that turn data into actionable recommendations to resolve issues quickly and reduce reputational risk. The ideal candidate pairs deep fluency in the social analytics landscape with calm judgment under pressure, sharp written communication, and a bias toward action.
Key responsibilities
Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage social escalations
Actively monitor public social channels for brand mentions, surfacing potential escalations and triaging them against defined criteria
Own social escalations end-to-end during your coverage hours
Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current
Build social reports in real-time, using the data to drive actionable recommendations that quickly and effectively resolve live incidents and reduce reputational risk
Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last
Help iterate on the team's playbooks, response templates, escalation criteria, and SOPs based on what you learn running real cases
Minimum qualifications
6+ years of experience in social analytics, escalations management, customer support, or a related front-line operations role—ideally at a consumer or developer platform
Deep knowledge of the social landscape and hands-on experience using social listening tools (query writing, alert design, API pipelines, report building)
Excellent judgment under pressure and have a strong instinct for how issues spread across public social platforms
Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold
Comfort coordinating across functions in real time and influencing partners without positional authority
A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people
Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate
Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher
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:
$210,000
—
$260,000 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.
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
We're seeking an experienced Executive Escalations Manager to be a founding member of a new pillar of our Operations organization: Community & Executive Escalations. This role is the front line of how Anthropic protects its reputation when high-stakes user issues surface through executive channels. You'll help stand up the function from scratch and operate it day-to-day. You'll be the person building the playbooks and escalation criteria, triaging incoming escalations, and running them to resolution alongside cross-functional partners. The ideal candidate combines calm-under-fire judgment with sharp written communication and a bias toward action.
Responsibilities:
Build the team's playbooks, escalation criteria, tooling solutions, and SOPs to successfully manage escalations coming from Anthropic’s executive team
Own executive escalations end-to-end during your coverage hours
Communicate crisply with internal stakeholders: brief executives on live situations, give Comms partners the facts they need, and keep incident channels useful and current
Write clear post-escalation reports that capture what happened, what we did, and what should change—so the next escalation is easier than the last
Lead a recurring escalations insights forum: identify patterns across escalations and drive the resulting product and policy changes with partner teams
You may be a good fit if you have:
6+ years of experience in escalation management, trust & safety operations, customer support, or a related front-line operations role—ideally at a consumer or developer platform.
Direct, hands-on experience running incidents or escalations: you've been the person investigating the issue, coordinating R&R with XFN partners, and writing executive comms.
Sharp written communication—you can brief a senior leader in three sentences and document an incident so the next responder can pick it up cold
Excellent judgment under pressure
Comfort coordinating across functions in real time and influencing partners without positional authority
A pattern-detection mindset—you spot the second-order issue beneath the first-order complaint and surface it to the right people
Comfort with ambiguity and a bias toward action; this team is brand new and you'll be helping define what good looks like as you operate
Excitement about protecting Anthropic's reputation and relationships at a moment when public attention on AI has never been higher
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:
$210,000
—
$260,000 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.
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 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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, governments, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences.
About the Role:
We're looking for a Partnerships Manager to help extend Anthropic's health work into US public health. Building on our existing global health portfolio, you'll help shape how we engage the US public health system and manage a set of partnerships across federal, state, and local levels. Because this is an emerging area for the team, the role blends partnership management with meaningful contribution to strategy.
The right person combines credibility in the US public health ecosystem, enough technical fluency to be a real thought partner on AI deployment, and comfort operating in a space that's still taking shape.
This role is distinct from our Account Executive function: while AEs drive scaled adoption of Anthropic's core products, Partnership Managers build deep partnerships that require custom deployments, research collaboration, and hands-on program design. You'll work with a smaller portfolio of flagship partners where the goal is driving impact metrics and creating learnings that benefit the broader ecosystem.
Responsibilities:
Contribute to Anthropic's US public health strategy, working closely with the team lead to identify priority partners and use cases and bringing field insights back to inform our broader health work
Own a portfolio of flagship deployments, coordinating with Applied AI, product, policy, and GTM teams to deliver impact
Source, evaluate, and onboard new partners; structure engagements that work within government procurement, data governance, and privacy constraints
Translate partner needs into deployment plans that account for legacy systems and workforce realities
Support the creation of shared resources and digital public goods that help the broader field use AI responsibly
Build the evidence base by partnering with academic and evaluation organizations to study what works
Represent Anthropic at public health convenings and with funders and policymakers
Help shape team processes as we grow this area; hand off opportunities better suited to scaled sales or public sector motions
Travel to partner sites and to SF headquarters every ~6 weeks for those based outside SF (~20% travel)
You Might Be a Good Fit If You Have:
10+ years of experience in US public health, health policy, or public sector health innovation
5+ years managing external partnerships, multi-stakeholder initiatives, or programs that span government and civil society
Deep relationships and credibility in the US public health ecosystem — you know the key players at CDC, state health departments, major schools of public health, and the foundations that fund this work
A working understanding of how federal, state, and local public health agencies operate, fund programs, and adopt new technology
Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams
Experience building programs or portfolios in early-stage environments where the playbook is still being written
High agency and comfort with ambiguity; you thrive when the playbook doesn't exist yet
A genuine drive to strengthen the public health system and the communities it serves
An MPH or related credential
Strong Candidates May Also Have:
Experience inside a federal or state health agency (CDC, HHS, a state DOH) or at an organization that works closely with them
Background in epidemiology, ideally with hands-on surveillance experience at a state, local, or federal health agency
Experience working in a global context
Experience at a healthtech company, AI organization, or in a product-adjacent role
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:
$215,000
—
$300,000 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.
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
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 Strategic Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns
Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you:
7-10+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups
Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$380,000
—
$450,000 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.
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
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 Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond.
We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent.
Responsibilities:
Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem
Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications
Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
Implement automated testing, deployment, and rollback systems for ML models in production safety applications
Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
Contribute to the development of internal tools and frameworks that accelerate safety research and deployment
You may be a good fit if you:
Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently
Have implemented A/B testing frameworks and experimentation infrastructure for ML systems
Are results-oriented, with a bias towards reliability and impact in safety-critical systems
Enjoy collaborating with researchers and translating cutting-edge research into production systems
Care deeply about AI safety and the societal impacts of your work
Strong candidates may also have experience with:
Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment
Working with large language models and modern transformer architectures
Developing monitoring and alerting systems for ML model performance and data drift
Experience in trust & safety, fraud prevention, or content moderation domains
Knowledge of privacy-preserving ML techniques and compliance requirements
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:
$320,000
—
$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.
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
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 Safeguards ML Sampling Path team builds and operates the production services that power Claude's safety systems. These services sit on the token generation path across every platform Claude runs on: every request must pass through them, and each millisecond of added latency is wait time for our users. You’ll keep p99 latency flat as traffic grows, build for robustness as dependencies time out or partially fail, and ship changes safely to a system that cannot go down.
What you'll do:
Design, build, and operate the backend systems that process every token on the generation path for Claude requests, including the streaming contract with the API and inference engines.
Own latency and reliability end to end: define and maintain SLOs and error budgets for added latency, time-to-first-token, and availability, and lead incident response and postmortem follow-through.
Ship changes to the hot path rapidly but safely — canaried and gradual rollouts, error budget and latency gating, fast rollbacks — and drive per-token performance: chase tail latency and keep cost flat as traffic, models, and checks per request grow.
Set technical direction for the sampling path: lead design reviews, make latency, reliability, and cost trade-off calls with the inference and research teams, mentor engineers, and raise the operational bar for the wider Safeguards organization.
You may be a good fit if you:
Have designed, built, and operated high QPS systems at global scale, and were accountable for them in production: incident response, outages, and postmortem-driven remediation.
Have a strong foundation in distributed systems: replication, consistency tradeoffs, failure modes, and SLO management under load.
Design systems for graceful degradation: you plan for a slow dependency, a dropped stream, or a half-rolled-out deploy before it happens, and build so the system degrades predictably instead of failing.
Have successfully shipped broad or all-encompassing changes to mission critical systems (e.g., database migrations, interface changes, rewrites).
Strong candidates may also have:
8+ years of industry software engineering experience.
Familiarity with LLM inference systems and transformer-based models (not required, but a plus).
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:
$320,000
—
$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.
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
UX research at Anthropic works across products used by millions of people, on interactions that don't have established conventions yet. We inform critical decisions through rigorous research, working closely with curious, open-minded stakeholders who are eager to learn along with us. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track. We move fast, favor impact over polish, and increasingly build our own tools, deeply leveraging Claude to do research at the speed and rigor this environment demands.
This role is on the Platform research team, embedded in Anthropic's Platform organization, which comprises the API, the agent and connector infrastructure developers build on top of it, and the Console, SDKs, and documentation they use to do it. A large share of what gets built with Claude is built on this platform, including many of Anthropic's own products, and the people who use it range from individual developers to the largest enterprises.
The teams that build the platform are deeply technical, move quickly, and are deeply curious about and engaged with users. User research's job here is to give them a deeper and more systematic understanding of those users than they can get on their own, and to help the organization decide what to build for them next.
This is a senior individual-contributor role with a great deal of autonomy. You'll work with the rest of the Platform user research team and with Platform's leaders to decide where research can make the biggest difference, and then lead that work yourself.
Key responsibilities
Work with Platform's leaders and teams to understand what they most need to know about the people building on Claude, decide what is and isn't worth studying, and own that agenda
Design and run the research yourself using both qualitative and quantitative methods
Study the full range of people the platform serves: developers, the teams and companies building products on it, and the people who administer and buy it
Communicate findings to product managers, designers, and engineers and follow them through to product decisions, while building the shared understanding of users that lets teams make good calls on their own
Build the tools and infrastructure that let research keep pace with the platform, using Claude heavily and inventing methods where the existing ones don't fit
Minimum qualifications
Industry UX research experience independently scoping, designing, running, and reporting end-to-end studies
Mixed-methods expertise: interviewing technical users well, and designing and analyzing surveys rigorously
A technical background, in one of these forms: you've worked as a software engineer; you have a sustained body of developer-experience research on APIs, SDKs, or developer tools; or you have a sustained track record of researching deeply technical products. In practice: you can read our documentation, build something small on the platform, and keep up with very technical teams without translation
Hands-on use of AI in your own research: you already run your work through it and use it to build your own analyses and tooling
Preferred qualifications
8+ years of industry UX research experience
Experience setting the research strategy for a product or product area, with a track record of research that changed direction at the strategy level, not just the feature level, in direct partnership with product or organization leaders
Experience embedding with engineering-led product teams that ship fast and earning influence there, from the engineer who owns the endpoint up to the head of the organization
Excellent storytelling, calibrated to audience: you can discuss a finding with the head of the organization as effectively as with the engineer who owns the endpoint
Experience building with AI yourself using coding tools and agents, and an appetite to help build the research tools that don't exist yet
Experience researching pricing, packaging, or how customers decide what a product is worth, especially for usage-based or developer products
Background in API-ecosystem or developer-platform research
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.
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: Remote-Friendly, United States; San Francisco, CA | Seattle, WA | 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 Team
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
What You’ll Do:
Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
Penetration test specific, high value deployments.
Contribute to AI-assisted security testing tooling and workflows.
Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Who You Are:
5+ years of hands-on experience in red teaming and offensive security operations
Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
Track record of discovering novel attack vectors and chaining vulnerabilities creatively
Experience conducting adversarial simulations against well-defended environments
Strong engineering skills (Python, Go, or similar)
Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
Collaborative approach, working in close collaboration with the blue team
Strong candidates may also have experience with:
Prior work at organizations with state actor threat models
Interest in AI safety and how security engineering contributes to responsible AI developments
Background testing AI/ML systems or agentic workflows
Familiarity with detection engineering and SIEM/EDR platforms from the defensive side
Experience with data center security or hardware-based attacks
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$300,000
—
$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.
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.
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