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
Nonprofits, universities and other mission-driven organizations do some of the hardest work in the world, usually with small teams and little technical capacity. As a Scaled Account Manager in Beneficial Deployments, you will be the person a named book of these organizations can rely on. You will own each customer relationship after the first conversation, including commercials, activation and the conversations that turn a new deployment into everyday use.
This role sits on the Scaled Sales team within Beneficial Deployments, the part of Anthropic that brings Claude to mission-driven organizations sooner and further than the market would on its own. You will work with little to no dedicated Customer Success support, so you are both the seller and the person who helps a customer get real value.
That is only possible if you work differently. You will use Claude to take on the short-horizon tasks that consume a book like this, and spend your time on strategic conversations. The role will also change. As we automate more of this work, the book will take less of your time, and that time moves to growth: deeper work with your highest-potential accounts, launches, events and programs that reach many more organizations. We are hiring someone who wants that: someone who will automate parts of their own job and move on to the next hard problem.
What you'll do
Own a named book of nonprofit and education customers.
Take over existing relationships and run them end to end: retention, seat growth, plan moves and new contacts inside each organization.
Drive activation yourself.
Help priority customers in the segment go from purchased seats to weekly use, starting with where staff lose the most time: fundraising, grant writing, reporting and program operations at nonprofits, or research support, teaching and administration in higher ed.
Automate your own work.
Use Claude to handle account research, follow-ups, usage reviews and routine questions, then share what works so the whole team can use it.
Spend your time on strategic conversations.
Work with executive directors, operations leads, and IT and academic leaders at universities to find the use cases that matter to their mission and agree what success looks like.
Spot who is ready for more.
Identify customers moving from individual productivity toward redesigned workflows, build the case, and bring in Applied AI or other specialists when they qualify for deeper support.
Build programs, not one-offs.
When ten customers have the same problem, create a playbook, webinar or cohort that solves it once.
Be the voice of your book.
Bring what you hear to Product, Marketing, Support and Operations, and work across those teams to get customer problems fixed.
Where your time goes as we automate
The role starts mostly account-facing. Over roughly the first six months, we expect Claude to take on much of the routine work, and your time shifts toward growth. Examples of where it goes:
Deeper with priority accounts.
Spend real time with the 10 to 15% of your book that can move from individual productivity to redesigned workflows, and get them there.
Quarterly launches.
Beneficial Deployments brings new offerings to the nonprofit and education community each quarter. Help drive them: coordinate across Marketing, Comms and partner teams, and make sure your customers benefit.
Events.
Help shape and run the events, local and eventually international, that become a core part of how we reach new organizations.
New signups and scaled partnerships.
Contribute to the motions that bring new organizations onto Claude, including partner channels and programs for segments we don't yet serve well.
The exact mix will change, and you will help decide it. Part of the job is working out which tasks should be automated and which still deserve a person's time.
You may be a good fit if you have
3+ years of account management or customer success experience with nonprofit or higher education customers, with a proven track record of growing retention and driving adoption of new technology
Have owned customer relationships in an account management or customer success role, and can point to accounts you grew, retained or turned around
Use AI in your own work today, and can show a workflow you built that gave you real time back
Bring structure to unfamiliar problems, and can move from a messy situation to a clear plan quickly
Have run multi-step programs or projects with several stakeholders and kept them on track
Have got things done through people you did not manage, across teams in a larger organization
Stay effective when your job changes, and would see automating part of your role as a win
Can explain AI plainly to people who are skeptical, busy or new to it
Care about the mission of nonprofits and educational institutions, and about AI being developed and deployed safely
Strong candidates may also
Have built something from zero, such as a company, a product, a sales motion or a new program, or been an early employee at a startup
Have a consulting background, with experience across many sectors and problem types
Have worked at an AI-native company or sold AI products, or moved from business development into owning accounts
Have worked in or with nonprofits, foundations, Universities or other mission-driven organizations
Understand how nonprofits and universities buy, including boards, funders, procurement cycles and tight budgets
Have used usage data to prioritize a large book of accounts
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:
$222,800
—
$290,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | 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
Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from "I need to buy something" to a signed agreement, an accurate purchase order, and clean spend data at month end.
We are hiring a Procurement Operations Business Partner to own that path for the teams that keep Anthropic's offices, people, and physical spaces running. Workplace covers real estate, office build outs and leases, furniture and equipment, facilities services, maintenance, and food and beverage. Security covers physical security: guard services, access control and badging, cameras, and security consulting that protect our offices and people. People covers recruiting agencies and recruiting operations, HR systems, benefits and Total Rewards vendors, and training and development.
You will be the person who makes all of it feel simple to the teams who depend on it and reliable to the Finance stakeholders behind it.
This is a high volume role with an accounting core. You ensure every purchase in your portfolio is coded, dated, received, and accrued correctly, so spend is right in the books every month. Expect a steady queue of requests, statements of work, change orders, and renewals, and expect to be the person Accounting trusts on all of it.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI native procurement operations function looks like, including how AI changes intake, document review, vendor coordination, and requester support.
Responsibilities
Own the purchasing process
Manage a high volume of purchase requests, statements of work, change orders, and renewals each month across Workplace, Security, and People, keeping speed and accuracy high at the same time.
Serve as the primary procurement partner by guiding requesters from initial request to signed agreement and issued purchase order.
Review every purchase request for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs.
Determine what each request requires before it can move, whether that is a statement of work, an amendment, a lease review, a privacy review, or a third party risk assessment, and route it to the right reviewers the first time.
Partner with Privacy, Security, and Third Party Risk on vendors that handle employee or candidate data or have physical access to our offices, such as badging and camera systems, background check providers, and on site service staff. Hold the line that nothing goes live without the review it needs.
Launch and track contract review with Legal and outside counsel, keep it moving, and confirm the executed agreement supports the purchase order before it is issued.
Structure purchase orders so they match how the vendor bills (fixed fee, milestone or progress billing, time and materials, per placement, per head, or recurring monthly service) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage change orders, renewals, and closures over the life of each agreement.
Handle the mechanics that come with physical work and goods: multi line quotes, deposits, lead times, receiving, and asset handoffs for furniture, fixtures, and equipment.
Know where a purchase belongs. Not everything in these categories should run through a purchase order, and you help requesters tell the difference between a contract that needs Procurement and spend that belongs on a card.
Financial completeness and accuracy
Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials: capitalized build out and equipment versus operating spend, deposits and prepaids versus expense, and lease versus non lease costs.
Work the hard cases with Accounting: progress billed construction, retainage, partially delivered milestones, guard services billed in arrears against changing staffing schedules, placement fees tied to start dates and guarantee periods, credits and true ups, and change orders that land mid month.
Understand what a contract actually commits us to, including term, termination for convenience, and notice periods, so firm commitment reporting reflects the real exposure.
Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree.
Serve as the first line reviewer for month end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time.
Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs.
Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind.
Be the front door
Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context.
Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available.
Translate procurement, legal, privacy, and finance requirements into plain language for Workplace, Security, and People teams, and carry their operating reality back to those teams so controls fit the work. An office opening date, a guard post that has to be staffed tonight, or a recruiting search that has to start this week are real constraints, and you plan around them.
Keep a regular check in with your highest volume teams so upcoming office projects, renewals, staffing changes, and searches are visible early and nothing urgent arrives as a surprise.
Continuous improvement
Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head.
Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation can take work off requesters and the team.
Minimum qualifications
5 to 7+ years of procurement operations, purchasing, or vendor operations, including time supporting Workplace or Facilities, Security, or People teams.
Proven track record of owning a high volume purchasing portfolio end to end in a procure to pay and intake platform.
Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid versus expense, capital versus operating spend, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger.
Experience managing services vendors on master agreements with statements of work and change orders, where scope moves and the contract, the PO, and the invoice have to stay in sync.
Experience with facilities, real estate, or construction purchasing, including milestone or progress billing and receiving against physical delivery.
Working knowledge of how contract review, privacy and security review, and financial controls fit together in a purchase, and the judgment to know when to push a request through and when to slow it down.
Preferred qualifications
Experience with office build outs, leases, or fixed asset purchasing, including furniture, fixtures, and equipment, and working alongside Lease Accounting or Fixed Assets.
Experience buying physical security services or systems, such as guard services, access control, or video surveillance.
Experience with recruiting agencies, contingent workforce, or HR and benefits vendors, including the privacy review that comes with employee and candidate data.
Background in accounting, accounts payable, or a month end close process.
Direct experience with Zip, Workday Financials, and Ironclad.
Prior ownership of month end accrual review or open PO reconciliation for a large, variable spend portfolio.
Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls.
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:
$190,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team in London to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) and our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background.
This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run.
We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest.
Key Responsibilities
Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close
Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies
Source and engage high-quality active and passive candidates, building diverse and competitive pipelines
Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar
Manage candidates through the process with clear communication and a great experience at every stage
Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close
Use data to track pipeline health and share insight that helps hiring managers make good decisions
Minimum Qualifications
4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring
Track record of closing strong candidates in competitive markets
Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries
Strong stakeholder management—you build trust and partnership with hiring managers
Excellent organization and the ability to manage multiple searches at once without dropping details
Clear, direct communication style and a bias toward action
Comfort operating with ambiguity in a fast-moving environment
Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it
Preferred Qualifications
Experience recruiting at a high-growth technology, AI, or machine learning company
Experience recruiting across both G&A and GTM functions
Experience hiring across multiple EMEA markets, including the UK and Ireland
Familiarity with Greenhouse or similar ATS platforms
Additional European language skills relevant to hiring across the region
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:
€170.000
—
€215.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is growing quickly across EMEA, and we need recruiters who can help us hire exceptional people into the teams that keep the company running and bring our work to customers. We’re looking for a Recruiter to join our Talent team in London to own full-cycle recruiting for either our G&A functions (Finance, Legal, People, and related areas) and our Go-To-Market organization (Sales, Marketing, Partnerships, and Customer-facing roles), depending on business need and your background.
This is a full-cycle individual-contributor role for a strong recruiter who can run an excellent process end to end—sourcing, screening, managing stakeholders, and closing. You’ll partner with hiring managers across EMEA to understand what great looks like, build healthy pipelines, and deliver a candidate experience that reflects Anthropic’s values. You’ll work in a fast-moving environment where priorities shift, and you’ll have real ownership over the roles you run.
We’re open to candidates whose strength is in G&A recruiting or in GTM recruiting; in your application, tell us where your experience is deepest.
Key Responsibilities
Own full-cycle recruiting for a portfolio of G&A or GTM roles across EMEA—from intake through offer and close
Partner with hiring managers to scope roles, calibrate the bar, and build effective sourcing strategies
Source and engage high-quality active and passive candidates, building diverse and competitive pipelines
Run structured, rigorous, and candidate-centric interview processes that uphold Anthropic’s hiring bar
Manage candidates through the process with clear communication and a great experience at every stage
Collaborate with the broader Talent team, People Partners, and Compensation to structure offers and guide candidates to close
Use data to track pipeline health and share insight that helps hiring managers make good decisions
Minimum Qualifications
4+ years of full-cycle recruiting experience in either G&A (Finance, Legal, People) or GTM (Sales, Marketing, Partnerships) hiring
Track record of closing strong candidates in competitive markets
Familiarity with the EMEA talent landscape and comfort recruiting across multiple countries
Strong stakeholder management—you build trust and partnership with hiring managers
Excellent organization and the ability to manage multiple searches at once without dropping details
Clear, direct communication style and a bias toward action
Comfort operating with ambiguity in a fast-moving environment
Genuine interest in Anthropic’s mission and the role recruiting plays in achieving it
Preferred Qualifications
Experience recruiting at a high-growth technology, AI, or machine learning company
Experience recruiting across both G&A and GTM functions
Experience hiring across multiple EMEA markets, including the UK and Ireland
Familiarity with Greenhouse or similar ATS platforms
Additional European language skills relevant to hiring across the region
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.
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:
£105,000
—
£145,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Responsibilities:
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events
: Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
Product Feedback:
Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
You may be a good fit if you have:
10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris, France
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.
À propos du rôle
Anthropic construit l’équipe Applied AI pour aider les organisations les plus ambitieuses du monde à adopter Claude de manière transformatrice, sûre et durable. Nos Forward Deployed Engineers s’intègrent directement auprès de clients stratégiques pour déployer des applications d’IA en production qui résolvent de véritables problèmes métier. À mesure que cette pratique se développe, nous avons besoin d’une personne leader pour construire et développer cette équipe.
En tant que premier Forward Deployed Manager en Europe du Sud, vous piloterez l’équipe qui se situe à la frontière du déploiement d’IA en entreprise. Vous recruterez et développerez une équipe performante de Forward Deployed Engineers, fixerez le standard technique et opérationnel pour les engagements clients, et construirez les playbooks qui transforment les succès ponctuels en modèles reproductibles. Vous travaillerez en étroite collaboration avec les Engagement Managers qui gèrent la logistique de livraison et les relations avec les parties prenantes, tout en veillant à ce que votre équipe livre du code de qualité, se développe techniquement, et représente Anthropic au plus haut niveau dans les environnements clients.
Ce rôle est un rôle de meneur-contributeur avec une forte orientation leadership. Vous resterez assez impliqué dans le travail technique pour examiner les architectures, déboguer les problèmes en production, et vous associer à votre équipe quand cela compte — mais votre impact principal viendra des personnes que vous recruterez, des standards que vous fixerez, et de la culture que vous créerez. Vous collaborerez de manière transversale avec les équipes Ventes, Produit et Ingénierie pour façonner la manière dont Anthropic sert ses clients les plus stratégiques, et les insights de terrain de votre équipe influenceront directement la direction produit.
Ce rôle nécessite quelqu’un qui s’épanouit dans l’ambiguïté et qui est énergisé par la création à partir de zéro. Vous définirez ce que l’excellence ressemble pour la gestion d’une équipe FDE chez Anthropic — il n’existe pas de playbook existant à suivre.
Responsabilités
Recruter, développer et fidéliser une équipe de classe mondiale de Forward Deployed Engineers. Fixer un haut standard pour le talent technique et l’instinct client.
Mener des entretiens individuels réguliers, fournir du mentorat technique, et investir dans la progression de carrière de chaque membre de l’équipe. Créer un environnement où les Forward Deployed Engineers accomplissent leur meilleur travail.
Staffier et superviser les engagements clients dans le portefeuille de votre équipe, en prenant des décisions d’allocation des ressources qui équilibrent les besoins clients, le développement de l’équipe, et les priorités métier.
Collaborer avec les équipes de compte et les Engagement Managers pendant le processus de pré-vente pour qualifier les engagements, définir le périmètre du travail, et informer les demandes de travail.
Examiner les architectures techniques et le code produit par vos Forward Deployed Engineers, en veillant à ce que l’équipe livre des solutions production de haute qualité qui résolvent de véritables problèmes clients.
Rester assez impliqué pour diriger des sessions de découverte technique, prototyper des solutions, et déboguer des problèmes complexes aux côtés de votre équipe quand cela est nécessaire.
Construire des playbooks reproductibles, des dépôts de démarrage, des modèles d’intégration, et une base de connaissances interne qui capture ce que votre équipe apprend sur le terrain.
Définir les OKRs de l’équipe liés aux résultats de succès client et aux objectifs d’adoption produit. Créer des cadences opérationnelles — standups, rétros, revues d’engagement — qui maintiennent l’équipe alignée.
Collaborer avec Produit et Ingénierie pour traduire les insights de terrain en améliorations produit. Servir comme voix du client dans la planification interne.
Voyager sur les sites des clients selon les besoins (25-50%), particulièrement lors des lancements d’engagement et pour les comptes prioritaires de votre équipe.
Vous pourriez être un bon fit si vous avez
10+ ans d’expérience en ingénierie logicielle, architecture de solutions, ou dans un rôle technique orienté client comme l’ingénierie forward deployed ou le conseil.
2+ ans d’expérience en gestion de personnes au sein d’une organisation de services/post-vente/FDE avec un palmarès de recrutement, développement et fidélisation d’ingénieurs performants.
De l’expérience dans la construction d’organisations de zéro à un, pas seulement l’héritage d’une organisation existante.
De l’expérience de travail direct avec des clients d’entreprise sur des mises en œuvre techniques, y compris l’aisance à naviguer dans les dynamiques organisationnelles complexes.
Une présence de cadre avec la capacité à naviguer fluidement entre les conversations stratégiques avec les parties prenantes senior et les sessions de débogage pratiques avec les ingénieurs.
Des compétences fortes en communication écrite et verbale. Vous pouvez traduire la complexité technique en narratifs clairs pour des audiences diverses.
Un enthousiasme sincère pour la construction de quelque chose de nouveau et la définition de l’excellence pour une équipe qui n’existe pas encore.
Pourquoi ce rôle compte
Vous serez une personne leader fondatrice d’une équipe qui définit comment les entreprises adoptent et déploient l’IA. Votre travail influencera directement la direction produit d’Anthropic, créera des modèles réutilisables pour la base clients plus large, et établira Anthropic comme le partenaire de confiance pour la transformation de l’IA — tout en promouvant le développement responsable des systèmes d’IA de pointe.
About the role
Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager in Southern Europe, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
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
—
€295.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs.
We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day.
The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production.
What you'll do
You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse.
You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer.
You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team.
Representative projects
Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners
Take a new model ability from research prototype to public API feature, from interface design to production rollout
Build and operate tools such as web search and code execution under real traffic
Automate the manual parts of a model launch
Build the evals that catch a capability regression before a launch
You might be a good fit if you:
Have led technical projects that spanned several teams, from design through launch and operation
Have designed and operated production distributed systems where correctness, latency, and availability all matter
Have strong product sense and care about API design and developer experience
Make sound technical decisions with incomplete information, as models and priorities change close to a launch
Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers
Make the engineers around you better through design review and mentoring
Use AI tools as a regular part of how you design, build, and review software
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Strong candidates may also have:
Building public APIs, SDKs, or developer platforms
Working with large language models, including tool use, agents, or evals
Running launches or migrations with fixed deadlines and many dependent teams
Building tools for agents, such as search or code execution
Storage, memory, or context systems at scale
Integrating with cloud platforms such as AWS, Google Cloud, and Azure
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of 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:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Chicago, IL or Remote
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the
multi-trillion-dollar
insurance economy
,
creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and
seamlessly. We’re
pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair
journey. Through
purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at
www.cccis.com
.
The Role
As a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on:
Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently.
Claims decision support: products that help claims professionals make better, faster decisions on injury claims.
Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on.
You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them.
Salary range is:
$180,000 - 225,000
This position is bonus eligible.
Key Responsibilities:
Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review
Build evaluations with data labelers and subject matter experts, and run them on every change
Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data
What success looks like:
In your first month, you've shipped a measured improvement to an existing agent.
By six months, an agent you built is in production with customers, backed by evaluation results.
Requirements:
Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs
Strong production engineering skills in Python, including API services, and comfort working in TypeScript
At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering
Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change
A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real
Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through
Nice to have:
Document understanding, OCR, or extraction from complex documents
Experience fine-tuning LLMs or working with multimodal data
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available
HERE
.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our
careers site
.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture
here
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area.
As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input.
This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no.
Key responsibilities
Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change
Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision
Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes
Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify
Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities
Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams
Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real
Work with Partner Enablement so that partner learning paths and certifications support each specialization
Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working
Design the review process to scale, using Claude and automation so that routine steps don't depend on a person
Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams
Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership
Minimum qualifications
Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle
Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders
Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job
Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing
Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams
Work effectively where the process is still being built and the details are still changing
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience designing or running a partner competency, specialization, or credential program at a technology company
Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people
SQL or BI-tool skills sufficient to pull and check your own program data
Experience taking a program from its first launch to a repeatable operating cycle
Experience launching a program publicly with marketing and communications partners
Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up
Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector
Experience designing partner benefits or incentives, and an understanding of how they change partner behavior
Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery
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
—
$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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Singapore
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 the role
As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN.
In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Responsibilities
Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development
Set goals and reviews for your team, promoting growth and output
Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers
Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market
Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)
You may be a good fit if you have
15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
5+ years of technical go-to-market management experience, specifically managing pre-sales teams
Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN
Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
Experience with the unique technical requirements and technical procurement process of enterprise tech companies
Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
Have excellent communication, collaboration, and coaching abilities
Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
Make ambiguous problems clear and identify core principles that can translate across scenarios
Have a passion for making powerful technology safe and societally beneficial
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
Stay up-to-date and informed by taking an active interest in emerging research and industry trends
Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
Anthropic's Infrastructure team is seeking a Data Center Energy Lead to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint. You'll work at the intersection of energy markets, utility operations, and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with utilities, grid operators, and regulators across multiple jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating complex energy market dynamics and regulatory environments to achieve the speed and scale required for frontier AI development.
Responsibilities:
Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure, structuring utility partnerships and commercial agreements that prioritize speed-to-energization and scale
Own utility and regulatory stakeholder management across multiple jurisdictions, building strategic relationships with ISOs, transmission operators, and utilities to accelerate interconnection timelines and unlock constrained capacity
Drive energy markets and policy strategy for AI compute facilities, monitoring regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure
Partner with engineering and delivery teams to translate energy market dynamics and utility constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines
Develop deep market intelligence on regional power availability, transmission constraints, and interconnection queue dynamics to inform site selection and deployment strategy
Structure innovative commercial frameworks and partnership models that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacenter portfolio
You may be a good fit if you:
Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects
Have deep expertise in wholesale power markets, utility interconnection processes, and transmission system planning
Have experience securing 100+ MW of power capacity and navigating complex utility service agreements or power purchase agreements or other offtake agreement structures
Are proficient in analyzing energy market dynamics, regulatory frameworks, and grid constraints to inform strategic decision-making
Have strong stakeholder management skills and experience building relationships with utilities, ISOs/RTOs, regulators, policymakers and critical equipment vendors.
Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences
Strong candidates may also have some of the following:
Past experience with energy procurement specifically for datacenters, high-performance computing, or AI/ML infrastructure
Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads
Experience with regulatory affairs, energy policy advocacy, or engagement with state/federal energy commissions (FERC, state PUCs)
Background in transmission planning, interconnection study processes, or grid capacity analysis
Understanding of emerging grid technologies (energy storage, demand response, distributed energy resources) and how they can accelerate capacity delivery
Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building the team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager in DACH, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.
About the Role
We're looking for an Applied AI Architect to join Beneficial Deployments, focused on helping public health, global health and humanitarian organizations get real value from Claude. You'll be the technical lead for partners such as public health agencies and ministries of health, the institutes and NGOs that support them, and humanitarian organizations working in crisis settings. You'll help them find where Claude makes a real difference, from disease surveillance and outbreak response to health data, communications and program delivery, design solutions that fit their data, privacy and procurement rules, and turn early pilots into lasting deployments. What works for one partner becomes something the whole field can use.
Responsibilities
Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, turning their priorities into scoped use cases with clear measures of success.
Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications.
Guide partners through security review, data governance and procurement, from national agencies to field operations.
Run workshops, trainings and tabletop exercises that build AI fluency across partner teams.
Build reusable assets (reference designs, connectors, prompt and eval templates) so one partner's work helps the next.
Spot patterns across partners, bring field insight back to Product and Research, and help partners measure what changed.
Travel to partner sites for workshops, technical deep dives and relationship building.
You Might Be a Good Fit If You Have
3+ years in customer-facing technical roles such as solutions architecture, sales engineering, forward-deployed engineering or technical consulting.
Experience working with public health agencies, ministries of health, global health or humanitarian organizations, or similarly complex public institutions, including how they buy, adopt, and govern technology.
A track record of making technology stick inside slow-moving organizations with many stakeholders.
Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code.
Clear written and spoken communication across a broad audience. The ability to explain technical tradeoffs to epidemiologists, program leads, field teams and executives.
Patience with long buying cycles, a knack for knowing how to make them go smoothly, and real care for public benefit.
Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission.
Bonus if you've worked on disease surveillance, outbreak response, health information systems or emergency operations.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
Must have prior experience working with US federal, state, and/or local agencies
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
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:
$275,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic is hiring a People Services Partner, Compliance. People Services runs the day-to-day operations that keep the employee lifecycle moving, which includes making sure our processes and programs are compliant. We are looking for someone with a strong People Ops foundation, who is excited to take ownership of our existing compliance workstreams and build the program as the company grows.
This is a hands-on role where you will represent People Services in audits, manage our background check program, and prepare and file required reporting. You will work closely with partners across the company (including People Legal, People Systems, Payroll, Internal Audit, and our broader company Compliance team) to turn compliance requirements into clear, scalable processes.
Key responsibilities
Program management
Work with People Services to create and refine processes across onboarding and the employee lifecycle.
Manage our global background check program, which includes owning our vendor partnership.
Prepare for obligations that come with new locations, headcount thresholds, or new regulations, partnering with Legal to understand them and design solutions.
Manage an HR compliance calendar to track compliance programs and deadlines globally.
Proactively look for ways to streamline and automate the work in your scope, making compliance easy to navigate for our team and our partners.
Audits, reporting, and governance
Support internal and external audits by documenting our controls, gathering evidence, and walking auditors through our processes.
Collaborate with cross-functional partners on controls that touch multiple teams, ensuring clear roles and responsibilities within these processes.
Prepare and file required government reports, partnering with People Systems to build scalable reporting solutions.
Serve as the People Services point person on relevant policies, reviewing existing ones and collaborating with policy owners on new ones.
Minimum qualifications
Have worked on HR compliance and governance across multiple countries (including the United States)
Have represented People Operations in internal and external audits
Have prepared and filed required government reporting
Communicate clearly with partners, auditors, and employees, flexing your communication style for your audience
Enjoy navigating ambiguity and being the one to help drive clarity
Move quickly without sacrificing quality or introducing risk
Preferred qualifications
Have 6+ years working in HR/People Ops
Have experience building and leading an HR compliance program
Have experience scaling a global background check program
Have experience managing processes and data in Workday, including building custom Workday reports
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
—
$235,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
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 Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe.
You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward.
You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders.
Key responsibilities
Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation
Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged
Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda
Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos
Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked
Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics
Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance
Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA
Maintain one source of truth for criteria, lead times, and process so account teams get one answer
Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion
Onboard and coach briefing team members and contractors across locations
Minimum qualifications
Experience running executive briefings, customer events, or a comparable program for senior external audiences
Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs
Experience designing agendas and facilitating discussions with C-level or other senior customer audiences
Experience building processes, playbooks, or tooling that help a program operate consistently
Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence
Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts
Work on site at your briefing center when briefings take place
Preferred qualifications
5+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company
Experience in a high-volume briefing environment
Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes
Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams
Experience working across time zones or across multiple sites to set one global standard
Experience onboarding or coaching new team members or contractors
Familiarity with AI products and how enterprises evaluate and adopt them
Interest in Anthropic's mission to build AI that is safe and beneficial
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£1
—
£1 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: In-Office
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Locations: Austin, Lisbon, San Francisco, NYC, or London
About the Role
Search is being rebuilt around AI. People increasingly get answers from AI instead of a list of links, agents run dozens of searches to answer a single question, and
more than half of the traffic reaching sites on Cloudflare is now automated
. Search is shifting from a destination to a utility, and Cloudflare is building the search layer for this agentic Internet.
Agentic Search at Cloudflare gives agents everything they need to find information, whether it lives in a customer’s own data or on the open web. It spans two products: AI Search for internal data, and Web Search API for the open web.
AI Search
(internal data),
now generally available
, is the
search primitive for applications and agents
. It is a fully managed indexing and retrieval pipeline built on
Workers AI
,
Vectorize
,
R2
, and
Browser Run
. Developers connect a website or R2 bucket, or upload their own files, and query them with natural language through a Workers binding, REST API, or MCP server. Under the hood: continuous indexing, hybrid vector and keyword retrieval, reranking, metadata filtering, native multimodal (image) embeddings, and OCR for scanned documents. We use it to power search on our own blog and developer docs.
Web Search API
(external data),
now in open beta
, gives agents real-time web context with a single API call. It runs on
AI Gateway
, so every search gets the same logging, analytics, billing, and access controls as model inference. Developers can choose from
multiple search providers
and always get results back in one normalized format.
Your mission in this role is to make Cloudflare the default place developers and agents go to search, across both their own data and the open web, and eventually in a single call. You’ll also help build a search ecosystem that works for AI companies, site owners, and creators alike.
What You’ll Do
Talk directly with developers, AI companies, publishers, and customers every day.
Own the strategy, roadmap, and execution for Agentic Search (AI Search and Web Search API), from ingestion and indexing through retrieval, ranking, and answer generation.
Define and measure what “good search” means, including relevance, freshness, latency, and cost, and build the evals that improve it with every release.
Scale AI Search for the workloads that matter most, like multi-tenant platforms, enterprise agents, and website search, with support for billions of documents, rich media, and built-in observability.
Take Web Search API and shape what comes next: provider partnerships, search and page extraction in one call, blending web and private data,
Own pricing and packaging, and make our products first-class for agents through MCP, agent-friendly APIs, and templates like
NLWeb
.
Partner with engineering, ML, and product teams across
Workers AI
,
Vectorize
,
AI Gateway
,
Browser Run
, and
AI Crawl Control
, as well as Marketing, DevRel, BD, Sales, and Support.
Represent Cloudflare at conferences, community events, and customer and partner meetings.
Examples of Desirable Skills, Knowledge, and Experience
Proven experience as a PM, EM, or founder shipping search, information retrieval, data infrastructure, or developer platform products. You’ve led teams to ship before and can point to impact.
Deep understanding of how search works end to end: crawling, indexing, chunking, embeddings, hybrid retrieval (BM25 + vector), query rewriting, reranking, and retrieval-augmented generation (RAG). You understand the tradeoffs between relevance, freshness, latency, and cost.
Experience defining and measuring search quality, including offline evals, relevance judgments, metrics like recall, MRR, and NDCG, and online experimentation.
Fluency in the modern AI ecosystem: LLMs, text and multimodal embedding models, agents, tool calling, and MCP. You’ve built with them yourself and know where they break.
Hands-on ability to write code and use AI and the Internet to learn new things fast. You’ve built a RAG pipeline or an agent that searches the web, and you have opinions about what made it good or bad.
Deep empathy for developers and understanding of their workflows, pain points, and how they adopt new tools and platforms.
Understanding of the web publishing ecosystem: crawlers, bots, SEO and answer engine optimization (AEO), and the changing economics of AI search for content creators. Comfortable working where technology, business, and policy meet.
Experience with usage-based pricing, two-sided marketplaces, or partner and business development relationships, including build-vs-partner decisions, is a plus.
Exceptional communication and collaboration skills. You can translate between ML research, infrastructure engineering, and business stakeholders, and align diverse teams on goals.
Passion for design details and polish. You raise the bar for sweating the details.
External presentation skills. You can walk into a room of developers or AI company leaders and build trust and credibility.
Compensation
Compensation may be adjusted depending on work location.
For Seattle/NYC/California based hires - Estimated annual salary of: $172,000 - $215,000
For SF/Bay Area based hires - Estimated annual salary of: $179,000 - $224,000
For Lisbon based hires - Estimated annual salary of: €68,000 - €85,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Bangalore, India
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
Collaborate across time zones with global teams while serving as the technical expert for the India market
You may be a good fit if you have:
10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Ability to work effectively across cultures and time zones as part of a global team
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA | Seattle, WA
Dublin, IE; Track record of closing strong candidates in competitive markets
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
London, UK; Track record of closing strong candidates in competitive markets
Sydney, Australia
Paris, France
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
seniorChicago, IL or Remote
leadSan Francisco, CA | New York City, NY
headSingapore
УдалённоleadRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Munich, Germany
San Francisco, CA | New York City, NY
San Francisco, CA
San Francisco, CA | New York City, NY | Seattle, WA
London, UK; Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA; Experience working across time zones or across multiple sites to set one global standard
seniorГеография найма не уточнена
Bangalore, India; Collaborate across time zones with global teams while serving as the technical expert for the India market; Ability to work effectively across cultures and time zones as part of a global team
Автоотклики