Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a member of the Applied AI, Democratic Partnerships team at Anthropic you will provide technical support to the governments of key international allies and civil-sector partners to support democratic resilience. Near-term work focuses on a few priority countries and partners, and will continue to expand with capacity. This role serves Anthropic's mission and public benefit goals.
In collaboration with the Policy, National Security, Product, Research, and Engineering teams, you'll help partners build, integrate, and ship Claude deployments. You will use your excellent communication skills to explain complex topics, including the potential benefits and harms of frontier AI, to technical and non-technical audiences alike. You will also play a critical role in identifying how our AI systems can best serve public interests in frontline democracies, while maintaining our best-in-class safety standards.
Responsibilities:
Work directly with partner technical teams to build and ship Claude deployments. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API.
Build pilots and repeatable workflows that can scale across partner agencies, and support developer and university enablement.
Document how to deploy Claude in low-connectivity, multilingual, and security-conscious environments, for reuse across partners.
Act as the voice of our partners in frontline democracies and a key collaborator with our Product and Research teams to ensure we deliver the capabilities they need.
Travel internationally to partner institutions for technical enablement and building relationships.
Establish a shared vision for creating solutions that enable beneficial and safe AI.
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities.
Support partner deployments in areas such as education, cyber resiliency and global health.
You may be a good fit if you have:
4+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Cybersecurity Engineer, working with governments, civil-sector organizations, or the public sector
Experience shipping software in imperfect conditions, and a practical approach to infrastructure constraints
Designed novel and innovative solutions for technical platforms in a developing mission area
Comfort working directly with partner technical teams, and motivation to work on deployments where the stakes are civic rather than commercial
Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred)
Understanding of and experience with LLM fundamentals
The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the problem at hand, finding simple, easy-to-understand solutions
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, from engineers to senior government officials
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:
$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 | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a member of the International Policy Applied AI team at Anthropic, you will be a trusted technical advisor to governments, AI Safety Institutes (AISIs), and multilateral institutions. You'll use your technical skills and your experience with government partners to help them understand frontier AI, test it, and apply it to their public missions with a high degree of reliability and safety. This role serves Anthropic's policy, mission, and public benefit goals.
In collaboration with the Policy, Product, Research, and Engineering teams, you'll help partners develop strategies and plans to evaluate and adopt leading-edge AI systems. You will use your excellent communication skills to explain complex topics, including the potential benefits and harms of frontier AI, to technical and non-technical audiences alike. You will also play a critical role in identifying how our AI systems can best serve public interests around the world, while maintaining our best-in-class safety standards.
Responsibilities:
Act as a primary technical advisor for senior officials in partner governments, AISIs, and international institutions. Brief them on frontier AI capabilities, give an honest account of both benefits and harms, and explain safety research in terms that inform their decisions.
Partner closely with the Policy team to understand each partner's goals and requirements. Develop demos, pilots, prototypes, and evaluation suites that show how Claude can support their public missions, such as cyber defense.
Lead technical onboarding, enablement, and hands-on workshops for partner institutions, including national cybersecurity agencies. Guide their setup, architecture, and integration as they build with Claude Code and the Claude API.
Act as the voice of our international partners and a key collaborator with our Product and Research teams to ensure we deliver the capabilities they need.
Travel internationally to partner institutions for senior leader meetings, technical enablement, and building relationships.
Establish a shared vision for creating solutions that enable beneficial and safe AI.
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities.
You may be a good fit if you have:
4+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Cybersecurity Engineer, working with governments, international organizations, or the public sector
Experience in technology policy, AI safety, cybersecurity, or international affairs
Designed novel and innovative solutions for technical platforms in a developing mission area
Familiarity with how AI models are evaluated and tested for safety
Strong technical aptitude to partner with engineers and strong proficiency in at least one programming language (Python preferred)
Understanding of and experience with LLM fundamentals
The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the problem at hand, finding simple, easy-to-understand solutions
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, from engineers to senior government officials
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:
$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: 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 poste
Ce poste de direction est essentiel : il consiste à construire et à faire passer à l’échelle les partenariats d’Anthropic avec les cabinets de conseil, les intégrateurs de systèmes mondiaux (GSI) et les boutiques partenaires nativement IA en France.
Vous travaillerez en étroite collaboration avec l’équipe commerciale pour que les clients adoptent l’IA grâce à nos partenaires.
Ce poste est un poste de construction, et non de gestion. Compte tenu du stade de développement d’Anthropic, nous recherchons un profil qui a déjà fait ses preuves en faisant passer des partenariats de zéro à des moteurs de revenus à grande échelle, un profil qui a bâti ces relations de A à Z, et non simplement hérité de relations existantes pour les gérer.
Responsabilités
Partenariats et exécution
Vous collaborerez étroitement avec l’équipe commerciale pour comprendre comment les partenaires peuvent soutenir l’adoption de Claude par les clients.
Vous accompagnerez les partenaires dans la création de solutions clients reproductibles, répondant à des cas d’usage précis dans de nombreux secteurs : services financiers, santé, distribution, industrie, secteur public et services professionnels.
Performance et pilotage des indicateurs clés (KPI)
Vous portez la responsabilité des indicateurs clés de performance et vous les pilotez : revenus influencés par les partenaires, livraison réalisée par les partenaires, nombre de personnes consultantes formées et certifiées.
Chaque deal influencé par votre portefeuille de partenaires doit être conçu pour la réussite du client et la croissance de sa valeur à long terme. Vous définirez des critères de réussite pour les comptes communs, veillerez à la qualité de la mise en œuvre et de l’accompagnement à l’adoption, et mettrez en place des boucles de retour d’expérience favorisant l’amélioration continue.
Vous rendrez compte de la santé des partenariats, de leur avancement et de leurs résultats commerciaux, en vous appuyant sur des analyses fondées sur les données.
Développement du marché et construction de la marque
Vous renforcerez la notoriété de la marque Anthropic en France grâce à des relations stratégiques avec les partenaires.
Vous élaborerez et déploierez des stratégies de mise sur le marché (GTM) propres à chaque marché, adaptées aux pratiques commerciales et aux nuances culturelles locales.
Vous composerez avec les enjeux locaux de réglementation, de conformité et de souveraineté des données.
Vous créerez un avantage concurrentiel grâce aux capacités singulières des partenaires et à des propositions de valeur élaborées en commun.
Votre profil
Ce poste pourrait vous convenir si vous réunissez les atouts suivants :
Vous avez l’esprit d’initiative et le goût de construire : vous êtes à l’aise pour partir de zéro et créer des partenariats d’envergure.
Vous maîtrisez l’anglais et le français.
Vous comptez au moins 8 ans d’expérience dans les partenariats technologiques à destination des entreprises, idéalement dans le cloud, l’IA/ML ou les activités de plateforme.
Vous avez une culture de la donnée, tournée vers les résultats mesurables et l’atteinte des KPI, et un historique avéré de revenus additionnels générés grâce aux partenariats dans la région.
Vous avez démontré votre capacité à assurer la réussite des clients et la protection de la marque via les canaux partenaires.
Vous avez l’esprit de compétition : la victoire et la différenciation sont votre moteur.
Vous avez une approche collaborative et savez travailler de façon transversale avec les équipes commerciales, produit, marketing et régionales.
Vous nourrissez une vraie passion pour l’IA et vous vous reconnaissez dans la mission d’Anthropic : développer une IA bénéfique.
Relations de travail
Votre rattachement hiérarchique se fera auprès de la direction des partenariats internationaux, tandis que votre activité quotidienne sera pilotée par la personne responsable des partenariats EMEA Sud. Vous travaillerez également en étroite collaboration avec la direction commerciale régionale d’Anthropic et ses Account Executives, ainsi qu’avec les équipes Customer Success et Applied AI de la région.
Lieu et déplacements
Ce poste est basé à Paris, en France, avec des déplacements à prévoir pour rencontrer les partenaires et les clients.
About the Role
This is a critical leadership role responsible for building and scaling Anthropic's consulting, GSIs and AI-native boutique partners in France.
You will be working closely with the sales team to make sure customers are adopting AI through our partners.
This is a builder role, not a manager role.
Given Anthropic's stage, we need someone who has proven they can take partnerships from zero to scaled revenue engines — someone who has built these relationships from the ground up, not just inherited and managed existing ones.
Responsibilities:
Partnerships and execution:
You will engage closely with the sales team to understand how partners can support customer Claude adoption
You will guide partners in creating repeatable customer solutions that address specific use cases across industries including financial services, healthcare, retail, manufacturing, public sector, and professional services.
Performance and KPI ownership:
Own and drive key performance indicators, partner-influenced revenue, partner delivery, consultants trained and certified
Every deal influenced through your partner portfolio must be architected for customer success and long-term value expansion. You will establish success criteria for joint accounts, ensure proper implementation and adoption support, and create feedback loops that drive continuous improvement.
Report on partnership health, progress, and commercial outcomes with data-driven insights
Market Development & Brand Building
Amplify the Anthropic brand in France strategic partner relationships
Develop and execute market-specific GTM strategies adapted to local business practices and cultural nuances
Navigate local regulatory, compliance, and data sovereignty considerations
Create competitive differentiation through unique partner capabilities and joint value propositions
You may be a good fit if you have:
Builder mentality — comfortable starting from zero and creating scaled partnerships
Fluent in English and French
8+ years of experience in enterprise technology partnerships, ideally within cloud, AI/ML, or platform businesses
Data-driven mindset with focus on measurable outcomes and KPI attainment. Track record of driving incremental revenues through partnerships in the region
History of delivering exceptional customer success and brand protection through partner channels
Competitive drive — obsessed with winning and creating differentiation
Collaborative approach with ability to work cross-functionally across sales, product, marketing, and regional teams
Passion for AI and alignment with Anthropic's mission of beneficial AI development
Working Relationships
You will formally report to the International Partnerships leader, while your day-to-day work will be led by our South EMEA Partnerships lead. You will also partner closely with Anthropic's regional sales leader and their Account Executives, as well as the in-region Customer Success and Applied AI teams.
Location and Travel
This role will be based in Paris, France with travel expected to engage with partners and customers externally.
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:
€220.000
—
€260.000 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: Spain
POWER A WORLD OF TRUST
Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.
Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.
We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!
About Incode
Incode is a Series B unicorn ($2.1 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification.
The Impact You’ll Make
As a Senior Pre-Sales Engineer, you will be the technical backbone of our customer-facing operations in the region—owning issues from first report through to resolution, supporting POCs, pilots, and full-scale implementations, and acting as a champion for Incode's customers. You'll work at the intersection of engineering and customer success, ensuring that every client interaction reflects the highest standard of service and technical excellence.
What You’ll Own & Drive
Customer Issue Ownership & Resolution
• Take ownership of reported customer issues and see problems through to resolution, perform root cause analysis, and work to prevent issues from reoccurring in the future.
• Help triage, debug and pull engineers when necessary, to mitigate incidents and solve implementation challenges.
• Research, diagnose, troubleshoot, and debug customer issues encountered during POCs / pilots and implementations / integrations, as well as during production phase.
Pre-Sales & Implementation Support
• Help do training for POCs and implementations assisting Delivery / Project Managers in the onboarding process.
• Develop and contribute to internal and external knowledge bases.
• Be a champion for Incode's customers and hold our teams to a high standard of customer service.
The Qualities That Set You Apart
• Excellent written and verbal communication skills.
• Strong problem solving skills, customer service and interpersonal skills.
• Passion for customer service and ownership of the customer experience including comprehensive issue resolution.
• Understanding of support organizations and key indicators that drive supportability.
• Proven track record of resolving issues and risks in a cross-functional and collaborative way.
• Confident, and you easily build relationships when working with your customers and internal partners.
• Naturally curious, eager to learn and proactive in sharing knowledge with others.
• Able to work in a fast-paced environment with a strong sense of urgency in driving projects to completion.
• Highly motivated, able to multi-task and be resourceful.
Your Background
• BS degree in Computer Science or in related field.
• Minimum 3 years of experience in similar roles, ideally in an enterprise SaaS environment.
• Good understanding of business processes.
• Proficient in English.
• Working knowledge of biometrics or identity software is ideal.
Technical Requirements
• Understanding of APIs, SDKs, and cloud computing technology.
• Experience in various software designs, languages, and architecture.
• Familiarity with cloud-based softwares.
• Experience with HTTP based on JSON services.
• Experience with HTTP client tools like Postman or Insomnia.
• Experience developing scripting or batch processes using sprint batch, shell script or Python.
• Experience developing Mobile iOS and/or Android Native Apps, knowledge of Swift, Kotlin, Java, Cocoapods, Maven.
• Experience with HTML and Python.
• Experience developing Mobile Apps based on frameworks such as React Native, Flutter, Xamarin.
• Experience integrating third-party Web or Mobile SDKs.
• Basic understanding with non-relational databases like MongoDB and Redis is a plus.
Why Incode?
Mission with Meaning
– Shape how billions of people prove identity—safely, simply, and ethically.
Rocket-Ship Growth
– Join at an inflection point where your strategies will compound in value for years.
Elite Team & Backing
– Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
Ownership & Autonomy
– Operate like a founder with the resources of a unicorn.
Global Impact
– Every program you launch will reverberate across industries and continents.
Ready to ignite the future of trust?
Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.
Aspects of our Culture:
High performance
Freedom & responsibility
Context, not control
Highly aligned, loosely coupled
Continuous Feedback
Promotions & Development
Learn more about
Life at Incode
!
Benefits & Perks:
Flexible Working Hours & Workplace
Open Vacation Policy
Equal Opportunities:
Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you.
Applicant Data Privacy:
We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications.
This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries.
Key responsibilities
Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions
Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives
Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen
Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption
Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting
Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads
Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement
Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market
Minimum qualifications
Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills
Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration
Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches
Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders
Have a track record of building trusted advisor relationships with technical hiring managers
Are passionate about using AI to transform recruiting practices while maintaining a human-centered approach
Preferred qualifications
Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies
Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space
Demonstrated success working within GTM recruiting organizations during periods of hypergrowth
Expertise in developing specialized recruiting practices within broader team structures
Familiarity with the challenges of deploying AI systems in enterprise environments
Experience collaborating across recruiting teams to share resources and best practices
A technical background or successful track record recruiting for highly specialized technical positions
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:
$175,000
—
$240,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 the role
Anthropic is seeking a results-driven Go-To-Market (GTM) Recruiter to help establish and scale our teams across GTM functions in the APAC region. Based in Singapore, you'll be instrumental in our expansion, serving as one of the founding Recruiting hires in the region while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our Business teams and leaders to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts.
Key Responsibilities:
Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes in APAC
Develop culturally-informed sourcing strategies to attract top talent for Singapore, with potential expansion to broader APAC markets
Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets
Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones
Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices
Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership
Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks
You may be a good fit if you:
Have 8+ years of full-cycle recruiting experience in high-growth GTM functions in APAC markets
Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments
Are passionate about leveraging technology and AI to transform recruiting processes
Have exceptional communication skills with ability to work effectively across cultural contexts
Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones
Have experience with data-driven recruiting and metrics-based performance tracking in international contexts
Understand nuances of hiring practices, employment law, and professional norms in Singapore
Have experience working with distributed teams across significant time zone differences
Strong candidates may also:
Have experience recruiting for AI or deep technology companies in APAC markets
Demonstrate success in establishing recruiting functions during international expansion
Show expertise in building company culture and employer brand in new markets
Have established networks within Singapore’s technology ecosystem
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a results-driven Go-To-Market (GTM) Recruiter to help establish and scale our teams across GTM functions in the APAC region. Based in Seoul, you'll be instrumental in our expansion, serving as the founding Recruiting hire in the market while building exceptional teams from the ground up. This role requires someone who can bridge cultural gaps, maintain Anthropic's high standards, and work collaboratively with our Business teams and leaders to establish our local presence. The ideal candidate thrives in ambiguous, fast-paced environments and excels at building relationships across diverse cultural and business contexts.
Key Responsibilities:
Drive full-cycle recruiting for multiple GTM teams while establishing recruiting infrastructure and processes
Develop culturally-informed sourcing strategies to attract top talent for Korea, with potential expansion to broader APAC markets
Partner with regional leaders and HQ to provide consultative guidance on talent acquisition strategy while adapting global practices for local markets
Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones
Provide market intelligence on compensation trends, talent availability, and cultural considerations while coaching hiring managers on regional best practices
Serve as a cultural ambassador, ensuring candidates understand Anthropic's mission while advocating for regional talent needs with global leadership
Build foundational recruiting processes, systems, and partnerships with local agencies, universities, and professional networks
Minimum Qualifications:
Are fluent in English and Korean (native or business-level proficiency), showing exceptional communication skills with ability to work effectively across cultural contexts
Have 8+ years of full-cycle recruiting experience in high-growth GTM functions in APAC markets
Excel at building processes from scratch while managing multiple concurrent searches in ambiguous environments
Are passionate about leveraging technology and AI to transform recruiting processes
Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones
Have experience with data-driven recruiting and metrics-based performance tracking in international contexts
Understand nuances of hiring practices, employment law, and professional norms in Korea
Have experience working with distributed teams across significant time zone differences
Preferred Qualifications:
Have native or business-level proficiency in Japanese
Have experience recruiting for AI or deep technology companies in Asian markets
Demonstrate success in establishing recruiting functions during international expansion
Show expertise in building company culture and employer brand in new markets
Have established networks within Korea and Japan's technology ecosystem
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 Team
The Security team protects Anthropic's AI systems and maintains the trust of our users and society.
About the Role
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity.
This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML.
Responsibilities
Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions
Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings
Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
This role may require participation in an on-call rotation.
You may be a good fit if you
Have experience with machine learning.
Have experience in cybersecurity research.
Have strong software engineering skills.
Can balance research exploration with engineering implementation.
Are passionate about AI's potential and committed to developing safe and beneficial systems.
Strong candidates may also have
Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
Experience participating in or building CTF competitions and cyber ranges.
Academic research experience in cybersecurity or other experimental & research background.
Familiarity with RL techniques and environments.
Familiarity with LLM training methodologies.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$1
—
$2 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Magarini
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
Overview:
The Internal Audit Field Officer will play a critical day-to-day role in ensuring that GiveDirectly is able to deliver cash transfers to recipients safely. The Field Officer will be part of the team that is responsible for preventing, detecting, mitigating, and investigating field-based risks for GiveDirectly.
The role will reward high-quality judgment on operational questions and challenges, a strong work ethic, effective communication skills, attention to detail, a strong sense of independence, and a strong commitment to GiveDirectly’s mission and model. In essence, the Internal Audit Field Officer will be expected to audit the work of the enrolment team, whose core responsibility is surveying households and enrolling them in our programs.
Due to the sensitive nature of the work done by the internal audit team, we require all in-country internal audit staff to remain firewalled from the rest of the staff. This means operating discretely and independently, with interactions strictly limited to just the colleagues within the same team. The role holder will be expected to carry out day-to-day audit tasks with an absolute level of discretion, impartiality, neutrality, and independence.
Duty Station: Magarini Sub-County
Note:
Fresh graduates are highly encouraged to apply.
Key Responsibilities
Recipient engagement (60%):
Conduct in-person household visits for all individuals selected for enrollment to check and determine their safety for enrollment, assess vulnerabilities, and flag any pre-enrollment risk indicators to the management for proactive resolution.
Directly engage with high-risk recipients to provide them with the necessary support so that they receive their transfers safely
Directly engage with recipients to identify any corrections or improvements in field processes that are needed.
Investigate and resolve any recipient cases that have been flagged to the Internal Audit team.
Identify and escalate key risks associated with GD’s programs in the community.
Risk monitoring (30%):
Work with the IA AFM to undertake risk monitoring activities within the community
Work with the IA AFM to verify the quality and the risk level of the partner data pre-enrollment
Measure the quality of data received from the field teams against set data quality standards, reporting any cases of inconsistency.
Report any cases of fraud and bribery by GD staff and or recipient(s) that are identified through the appropriate escalation channels.
Utilise technology to flag any abnormalities in operation.
Other (10%)
Support the IA AFM in the onboarding processes of new team members
Assist the IA AFM with hosting visitors to the project location
Assist with response to “crisis” events (e.g., refusal spikes, government shutdown, coordinated fraud, etc.)
Promote effective team culture by encouraging recognition of positive achievements, planning team events periodically, and other team-building initiatives
Required Qualifications
Bachelors degree in Social Sciences, Development Studies, or a related field.
Having a Fraud Investigation experience is an added advantage.
Has the ability to audit cash transfer recipients by conducting in-person or virtual surveys and associated processes.
Proficiency in
Giriama
language is
a MUST.
Fluency in English and Kiswahili
Good computer and mobile device data entry and assessment ability or experience.
Possess critical thinking ability and good judgment in resolving operational glitches.
Possesses a high-quality problem-solving work ethic.
Good time-management skills
Strong interest in the mission of GiveDirectly and commitment to advancing GD’s distinctive values.
Physical fitness and the ability to cope with difficult weather conditions or terrain.
Have the ability to exercise patience and good judgment in resolving recipient problems.
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Location: San Francisco, CA; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We’re hiring a strategic advisor to join the Strategic Advisory team within Policy Advocacy, part of Anthropic’s Public Policy team. This is an individual contributor role at the strategic heart of Anthropic’s policy function — designed for an operator with 8–10+ years of experience who wants to drive clarity on Anthropic’s most consequential policy positions, partner with cross-functional peers, and be deployed as a strategic resource across fast-moving policy work.
Policy Advocacy turns Anthropic’s policy priorities into evidence-backed positions, research, campaigns, and partnerships — distinct from government relations and communications, but essential to enabling both. This role is designed to complement our existing Strategic Advisory capacity, which owns the documentation, translation, and deployment of Anthropic’s positions so that external-facing teams can use them. You’ll bring experience and judgment into the room, hold responsibility for a portfolio of strategically important positions, and partner as a peer with leaders across the policy, legal, comms, and product policy functions, working with colleagues on teams across the company on positions and messaging.
The ideal candidate is effective across multiple stakeholders even through substantive disagreement, prioritizes closure over deliberation, and organized and process-focused but able to operate in ambiguity. Successful candidates will have experience building structure where none exists, including under unclear ownership and shifting priorities. We prize doers willing to do the work directly, no matter how small or large. Strategic and systems thinkers that understand how individual positions and engagements fit together across the broader policy landscape are encouraged to apply.
Examples of work in this role might include producing a position package end-to-end: pressure-testing the position with internal SMEs (policy, legal, research), identifying and closing gaps, and producing the full set of deployable materials. Translating new technical research or policy analysis into policy-ready materials on short timelines for use by federal, state, and international affairs teams. Building and running a structured process to resolve a contested position and documenting the outcome. Leading the cross-functional policy strategy for a major launch, including alignment across policy, legal, comms, and research on external narrative, broader policy implications, and rapid-response plans. Standing up a cross-functional working group on an emerging platform or corporate issue, including scoping the problem, driving alignment across teams, producing a written strategy, and standing up the workstream. Distilling Anthropic’s approach to a complex or evolving issue into a deployable narrative, and integrating the output into the canon.
This role offers a rare opportunity to shape Anthropic’s policy voice across the most consequential debates in AI governance, while operating with the pace, pragmatism, and service orientation of a top-tier public affairs function.
Key responsibilities
Own a portfolio of Anthropic’s highest-priority policy positions, including position papers, FAQs, talking points, and fact sheets — managing versions, intended audiences, strategic relevance, and internal access.
Drive organizational consensus on contested technical policy positions — working with subject matter experts across federal affairs, state affairs, international affairs, national security, legal, comms, and research — moderating dissent, calling the question, and closing the loop on documented positions.
Develop and test message framings with internal and external audiences, iterating quickly and bringing rigor to what lands and why.
Translate technical research, model capability, and scientific content into policy-ready language for federal, state, and international policymakers, their staff, and legislators.
Serve federal, state, and international affairs teams as an internal senior advisor — improving their processes, standing up shared material libraries, and building the collateral and strategies they need to be effective in their markets.
Drive complex, cross-functional policy projects to resolution when no single team is set up to own them end to end — including model launch policy strategy, narrative coordination on contested issues, and working groups on emerging topics.
Stand up rapid-response playbooks when time-sensitive events require Anthropic to move in days rather than weeks, coordinating across legal, research, and external affairs.
Partner with policy communications to ensure message and voice consistency across Anthropic’s policy surface area.
Anticipate emerging issues, proactively work with internal experts to develop Anthropic’s perspective, and make sure we have the materials we need before external pressure emerges.
Minimum qualifications
Have direct experience with message development and testing for policy, advocacy, or communications audiences.
Have experience translating technical material (scientific, engineering, or deeply technical policy) for non-expert decision-makers.
Are comfortable operating at breadth across multiple policy issue areas simultaneously, and can develop fluency in new ones quickly. Interest in and some experience with technology policy is important; deep AI policy expertise is a plus, not a prerequisite.
Have experience building or running rapid-response processes, crisis playbooks, or signature programs in fast-moving environments.
Can serve internal clients — federal, state, and international affairs colleagues — without needing to own external relationships yourself. You find that service posture energizing, not limiting.
Preferred qualifications
Have 8–10+ years of professional experience in corporate public affairs, management consulting, government relations, policy or political campaigns, think tanks, or similar fast-paced, cross-functional environments.
Experience in technology, financial services, energy, pharma, or other heavily regulated industries.
Demonstrated ability to anticipate emerging issues and develop organizational perspectives proactively.
Experience designing and running a signature program or flagship campaign end-to-end.
Experience translating topics to policy-relevant audiences through communications, visual storytelling, marketing, or advocacy.
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:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Nicaragua; Honduras; Ecuador; El Salvador; Guatemala; Colombia
We are seeking a
reliable, highly organized Bilingual Medical Administrative Assistant
to support our client's
Primary Care
practice. The ideal candidate brings hands-on U.S. medical front desk experience, fluent English/Spanish communication skills, and strong proficiency in patient scheduling, high-volume call handling, and EHR workflow management to ensure seamless clinic operations.
Key Responsibilities:
Patient Communications & Phone Handling:
Serve as a primary contact for patient inquiries using
RingCentral
phone systems; answer incoming calls, return voicemails promptly, and maintain excellent phone etiquette.
Appointment Scheduling & Intake:
Manage and coordinate patient appointments efficiently within
eClinicalWorks (eCW)
while upholding schedule accuracy.
Records & Chart Management:
Process incoming/outgoing faxes, attach medical records and scanned documents directly to patient charts in
eCW
, and manage daily administrative encounter tasks.
Care Coordination Support:
Assist with coordinating patient transportation and supporting clinic workflows to enhance patient access and satisfaction.
Office Integration:
Collaborate closely with the existing clinic team to maintain daily front-desk coverage, consistency, and exceptional patient care.
Requirements
Language Skills:
Fluent verbal and written communication skills in both
English and Spanish
(Required).
Experience:
Hands-on experience in a U.S. medical office, healthcare clinic, or front desk administration setting.
EMR Proficiency:
Hands-on experience navigating
eClinicalWorks (eCW)
for patient scheduling, charting, and administrative encounters (strongly preferred / required).
Core Skills:
Demonstrated expertise in patient scheduling, multi-line phone management, document processing, and administrative task organization.
Professional Attributes:
Strong work ethic, high reliability, attention to detail, and professional interpersonal communication skills.
Please note that this is a full-time contractor position (40 hours per week) with a starting pay rate of $6 per hour depending on skillset and experience. The schedule is Monday through Friday, 8am-5pm EST.
УдалённоNicaragua; Honduras; Ecuador; El Salvador; Guatemala; Colombia
Location: Fort Lauderdale, United States
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech.
Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability.
Salary: $45,000 base + uncapped commission. Most reps earn $55K-$70K in year one.
Role Type: Full-time
Location: Fort Lauderdale, FL. On-site for your first 90 days, then hybrid
About the Company
Our client is one of the leading outsourced sales development companies in the US. They build and run phone-first sales teams for B2B tech companies, from fast-growing startups to names like Honeywell, PTC, SurveyMonkey and OpenText.
Inc. 5000 fastest-growing private company five years in a row
Employee-owned, so the team shares in the company’s success
170+ people across offices in Woburn, MA and Fort Lauderdale, FL
Promote-from-within culture, with promotion reviews at 90 days and 6 months
A great place to start a career in tech sales and grow fast.
Job Summary
Are you currently working in customer service, a call center, retail, hospitality, or another customer-facing role and looking for a career with more growth potential?
This could be your opportunity to break into the fast-growing technology sales industry, no previous sales experience or college degree required!
We're looking for confident, energetic, and motivated individuals who enjoy speaking with people, communicate clearly, and are eager to learn.
As a Sales Development Representative (SDR), you'll use your communication and relationship-building skills to connect with potential business customers, introduce them to innovative technology solutions, and create new business opportunities.
You don't need to know anything about tech sales to get started. You'll receive structured training, ongoing coaching, and the support needed to develop your skills and succeed.
This is a full-time, direct-hire opportunity based in Fort Lauderdale, Florida, with the potential to transition to a hybrid working arrangement after your first 90 days.
Key Responsibilities
Connect with potential business customers through outbound phone calls, emails, and other communication channels.
Build relationships with business professionals and identify potential sales opportunities.
Ask thoughtful questions to understand customer needs and challenges.
Introduce prospective customers to relevant technology products and services.
Schedule qualified meetings for sales teams.
Maintain accurate records of conversations and activities in CRM systems.
Work closely with your team, participate in coaching sessions, and continuously improve your communication skills.
Meet daily and weekly activity and performance targets.
Requirements
Previous experience in customer service, call centers, retail, hospitality, or another customer-facing role.
Excellent verbal communication skills with clear, easily understood spoken English.
Confident and comfortable speaking with customers over the phone.
Positive, energetic personality with a strong desire to succeed.
Highly motivated, proactive, and comfortable working toward goals.
Coachable, open to feedback, and eager to develop new skills.
Strong work ethic, resilience, and a results-driven mindset.
Comfortable working in a fast-paced, team-oriented environment.
Must live within approximately 45 minutes of Fort Lauderdale, FL.
Benefits
🚀 Opportunity to work with a growing, ambitious sales team.
🤝 Structured onboarding, hands-on support, and team collaboration.
💼 Long-term career opportunities with a high-growth business.
🏢 Collaborative, on-site working environment.
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
We are looking for an experienced accountant to own Equity Accounting and Reporting at Anthropic, based in San Francisco. You will be the one owner of equity accounting numbers across US GAAP, IFRS and local GAAP in every jurisdiction where we have employees holding equity: expense booking by entity, intercompany recharge booking, current and deferred tax on equity, and the equity footnote and local statutory disclosures, prepared once and reused. You will own equity reporting data from Shareworks, our equity administration platform, through to the ledgers, while staying hands-on: preparing and reviewing close materials, owning your own accounts, and serving as the first escalation point for the judgment calls in your domain.
Share-based compensation (SBC) is one of the most cross-functional areas of our reporting. Grants, vesting, exercises and the events that follow each carry requirements for US GAAP, IFRS and local GAAP expense, pushdown and recharge postings, tax provisioning, payroll withholding, transfer pricing and statutory disclosure, and those needs are met across Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll from a single set of award-level records. This is a build role: you will take the open workstreams from manual to automated, work with Finance Systems and Shareworks to build the reports each stage needs, finalize the policies and agreements that sit behind recharges, and bring the end-to-end process to a scalable, efficient and fully compliant close. We are looking for someone who has owned equity accounting in a growing global organization before and wants to do it again at one of the most important companies in the world.
Key responsibilities
Close ownership
Own the equity portfolio through month-end and quarter-end close: US GAAP, IFRS and local GAAP equity expense, pushed down and booked by entity, including reconciliations, journal entries and variance commentary
Own intercompany recharge booking: invoicing, settlement, Treasury communication and the foreign exchange (FX) that follows
Own current and deferred tax on equity by entity and in local currency, including the IFRS deferred tax mark to the share price and windfalls or shortfalls through the tax provision
Ensure every close deliverable is audit-ready, with clear documentation of positions and supporting evidence
Technical accounting and policy
Write, own and maintain the accounting policies and standard operating procedures (SOPs) for equity across US GAAP, IFRS and local GAAP: grant-date fair value and expense schedules, recharge basis by entity, mobility apportionment, and the treatment of cancellations, modifications and one-off events
Partner closely with Tax to close every open policy position and execute the recharge agreements that depend on them
Research the tax and accounting rules for each new jurisdiction entered and categorize it under our framework before the first grant lands there
Own the equity footnote and local statutory disclosures for all entities, including the award rollforward for each period with internal transfers, and the external audit responses that support them
Controls
Design and operate Sarbanes-Oxley (SOX) controls across equity expense, recharges and deferred tax; review control evidence and own timely remediation of any gaps
Establish completeness and cut-off controls so that the same award, the same entity, the same event dates and the same FX rate flow from Shareworks to every ledger, report and return
Systems and automation
Anticipate changes in reporting needs and work with Finance Systems and Shareworks to build them: IFRS expense and deferred tax reports in local currency at Workday rates, mobility snapshots driving expense apportionment, corporate tax apportionment rules, and exercise and disclosure reports with mobility detail
Automate the monthly pushdown and recharge postings and the reconciliation of deferred tax to expense reports, replacing manual work
Document workflows and controls in a way that supports knowledge transfer, audit evidence and scale
Cross-functional partnership
Partner with Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll so each stage of an award is handled from every statutory and reporting perspective and every stakeholder has the data they need
Record in the local books (secondary ledgers) the local SBC expense and recharges that feed the cost base for transfer pricing
Translate complex equity accounting into plain language for non-finance stakeholders
Equity events
Lead the cross-functional, cross-jurisdictional review of one-off equity events such as tender offers and share repurchases, covering the accounting, the deduction, payroll withholding, Treasury and the resulting disclosures
Coordinate with Tax and advisers on open conclusions, such as the apportionment logic for corporation tax versus payroll tax, so report configurations are right before they are built, manual rework is minimized and the data serves every purpose it is built for
Minimum qualifications
Certified Public Accountant (CPA) or equivalent professional accounting qualification
Deep, hands-on experience with stock-based compensation under Accounting Standards Codification Topic 718 (ASC 718), IFRS 2 and local GAAP, including equity roll-forwards and reconciliation to an equity administration platform
Experience with the tax accounting for equity: current and deferred tax by entity, mobility apportionment, and windfalls and shortfalls through the provision
Experience owning a portfolio of accounts through close in a public company or pre-initial public offering (IPO) environment, including designing and operating SOX controls
Experience writing and maintaining accounting policies and SOPs, and being accountable for how they are applied
Ability to structure ambiguous problems, reach defensible conclusions and document them clearly
Clear written and verbal communication with non-accounting partners
Preferred qualifications
Progressive accounting experience that combines Big 4 audit with time at a high-growth or startup company
A clear point of view on how artificial intelligence (AI) tools can eliminate low-value accounting work, and a track record of putting it into practice
A project management qualification or experience running cross-functional workstreams
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:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
The Warehouse Logistics 3PL Manager oversees warehouse and logistics operations for AI data center hardware stored at third-party logistics (3PL) facilities across the U.S. The role is responsible for launching new 3PL warehouses and managing inbound and outbound shipments that support U.S. and international data center deployments, ensuring operational excellence and on-time delivery. As the primary liaison between the company and 3PL providers, this position owns warehouse performance, supplier relationships, SLA compliance, inventory accuracy, cross-functional coordination, risk management, and process standardization. The role starts as an individual contributor with the opportunity to build and lead a team as the 3PL network expands.
Travel: Regular travel to 3PL warehouses and availability for other business trips.
Your responsibilities will include:
New Warehouse Setup & Onboarding
Lead the setup and launch of new 3PL warehouses across the US, from site selection input and requirements definition through go-live and stabilization.
Define operating requirements for each site, including layout, racking, security, access control, systems integration, and staffing, with internal stakeholders and the 3PL.
Develop and maintain onboarding playbooks, SOPs, and training for new 3PL partners and sites so the network scales consistently into new regions.
Validate readiness before go-live, including systems connectivity (WMS/ERP/TMS), process walk-throughs, and security and audit checks.
Shipment & Warehouse Operations
Ensure timely and accurate processing of inbound and outbound shipments, from dock to stock, within agreed SLAs across all 3PL warehouses.
Direct outbound shipments to support data center locations in the US and internationally, working with carriers, freight forwarders, and customs brokers.
Establish, standardize, and maintain SOPs for receiving, shipping, staging, kitting, and material handling; ensure 3PL adherence.
Oversee packaging, labeling, and handling standards for sensitive, high-value equipment.
Manage escalations and exceptions, including delays, damage, customs hold, and carrier bottlenecks.
Identify bottlenecks and drive workflow, tooling, and automation improvements across the 3PL network.
Inventory, Asset Control & Returns
Own inventory accuracy across all 3PL warehouses through cyclical and annual inventory programs and reconciliation with 3PL records.
Guarantee data accuracy in inventory and asset systems (ERP/WMS), with chain-of-custody controls, asset tagging, and serial number capture from receipt through deployment, returns, and decommissioning.
Support controls required for financial compliance (e.g., Sarbanes-Oxley) applicable to warehouse operations and inventory.
Oversee RMA and warranty flows handled at 3PL sites, including secure handling of data-bearing devices and disposition per company policy.
Perform root-cause analysis on discrepancies related to 3PL operations and implement preventive measures.
3PL Supplier Relationship Management
Own the lifecycle of 3PL partner relationships, including selection input, onboarding, performance tracking, and exit or transition planning.
Define, implement, and enforce SLAs, KPIs, and scorecards (e.g., dock-to-stock, inventory variance, pick accuracy, on-time shipping); run regular business reviews.
Lead 3PL execution in compliance with company policies, procedures, and security requirements.
Stakeholder Communication
Act as the focal point of communication for internal customers and stakeholders, including data center operations, project managers, capacity planning, supply chain, procurement, and finance.
Understand current and future internal customer needs and align 3PL capacity with deployment and build schedules.
Report KPIs, risks, and improvement opportunities to leadership; develop operational and financial objectives and key results (OKRs) tied to KPIs.
Risk, Security & Compliance
Assess and mitigate risks related to 3PL operations, including equipment damage, delays, theft, and supplier concentration.
Ensure 3PL partners meet security, safety, and chain-of-custody requirements for high-value equipment, including physical security and access controls.
Ensure compliance with trade, customs, and export control requirements for domestic and international shipments.
Oversee root-cause analysis of logistics incidents and implement corrective actions; maintain audit readiness.
We expect you to have:
7+ years in global logistics, distribution, or supply chain management, preferably in IT hardware or data centers, with a proven track record in operations.
Experience managing outsourced logistics services and 3PL partners, including operational experience at or with a logistics provider.
Hands-on experience with logistics management systems (ERP/WMS).
Working knowledge of data center hardware (servers, GPUs, networking, optics).
Demonstrated leadership experience, such as influencing partners and organizations, mentoring, and supporting the growth of others.
Ability to use quantitative and qualitative data to identify trends and drive supply chain execution, including standardizing analysis across finance, planning, and fulfillment.
Experience driving continuous improvement, standardization, and implementation of processes and systems.
Excellent communication and stakeholder management skills, including vendor negotiation and performance management.
Ability to work in a warehouse and data center environment.
It will be
an added bonus
if you have:
Bachelor’s degree in Supply Chain Management, Industrial Engineering, Operations or related field.
Knowledge of ERP, WMS, TMS, and dock schedulers.
Experience launching or onboarding new warehouses or 3PL sites.
Experience with import/export environments of a 3PL or carrier, including customs and export controls.
Experience in logistics operations in a global, high-growth, automated environment.
Exposure to GPU infrastructure or AI/ML compute environments.
Demonstrated ongoing AI skill development and ability to integrate AI tools to redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), applying responsible and ethical AI practices.
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: up to $85/month for mobile and internet.
Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries ranging from $107K-130K, plus performance bonus.
Join Nebius Today!
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$107,000
—
$130,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a New Business Account Executive, you'll be at the forefront of GitLab’s growth strategy, exclusively focused on acquiring new logos and expanding our market presence. You'll work with buyers at high-growth companies, navigating sales cycles while maintaining the high velocity of a true new business seller breaking into new accounts and building relationships from scratch.
This is a greenfield opportunity for someone who combines a strong ability to sell with a startup mentality. In this role, you’ll sell innovation and change to net new customers, compressing decision cycles while building trust at the C-level. You'll own the entire sales cycle from initial outreach through close, building your own pipeline while collaborating with marketing and SDRs to maximize every opportunity. Your success will directly impact our company's growth trajectory and market position.
What You’ll Do
Own the full new logo acquisition cycle
Build and maintain a 3-4x pipeline coverage through high-volume prospecting activities, dedicating the majority of your time to pipeline generation
Execute a disciplined daily prospecting cadence, including cold calling, strategic email sequences, social selling, and creative outbound strategies to identify and create new opportunities
Run high-quality discovery meetings, uncovering business pain points and articulating compelling value propositions that resonate at executive levels
Navigate complex, multi-stakeholder sales processes with C-level executives, IT leaders, and cross-functional buying committees
Develop and execute strategic territory plans, identifying high-value targets and creating a qualified account prioritization strategy
Partner with Solutions Architecture and Customer Success to orchestrate technical evaluations, POCs, and ensure smooth post-sale transitions
Master our sales methodology (MEDDPICC, Command of the Message) to qualify opportunities, manage deal velocity, and drive predictable revenue
Maintain exceptional Salesforce hygiene, including detailed account notes, use case documentation, competitive intelligence, and accurate forecasting
Exceed quotas while maintaining high activity levels and pipeline velocity metrics
What You’ll Bring
Strong B2B SaaS sales experience with an emphasis on new business development and net-new logo acquisition
Proven track record as a top performer with success in closing new logos
Strong prospecting mentality with exceptional pipeline generation skills – you've built territories from scratch and created demand in greenfield accounts
Experience with consumption-based or usage-based business models and ability to articulate value beyond traditional licensing
Strong discovery and qualification capabilities using consultative selling approaches to uncover business pain and build compelling business cases for C-level stakeholders
Demonstrated ability to compress sales cycles while managing multiple complex opportunities simultaneously (15-20+ active deals)
Relentless work ethic and competitive drive – you're energized by prospecting, motivated by competition, and have an insatiable desire to win
Adaptability and coachability – you thrive in dynamic, high-velocity environments and continuously iterate based on market feedback
Excellent communication and storytelling skills with the ability to craft and deliver executive-level presentations that drive urgency
Proficiency with modern sales tech stack including Salesforce, Clari, Outreach, ZoomInfo/Cognism, LinkedIn Sales Navigator, Gong, and 6sense
About the team
Our New Business team operates like a startup within the company – we're builders, prospectors, and market makers who are constantly thinking about our next deal and strategising our account plans. We’re looking for sales professionals who get energized by new opportunities and thrive on breaking into accounts that have never heard of us.
The team culture is built on drive, accountability, and continuous improvement (growth mindset). We share competitive intelligence, celebrate wins loudly, learn from losses quickly, and push each other to be better every day. You'll be surrounded by other top performers who are passionate about their craft and committed to building something special.
You'll report to the Director of New Business Sales and work closely with a dedicated SDR pod, Sales Engineering, Marketing, and Customer Success. We invest heavily in your development with weekly 1:1 coaching, deal strategy sessions, and ongoing enablement. Come and be a part of this team as we look to build something new!
Remote-Global
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$68,800
—
$106,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier.
We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely.
To achieve these goals, we're seeking exceptional machine learning researchers with deep expertise in training and evaluating frontier models. In this role, you'll work end to end across the model stack, developing training environments, rewards, data, and evaluations that measure and improve Claude's performance on complex engineering and scientific tasks, and carrying what works into production training runs. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and that learn from real-world feedback. A background in engineering or the sciences is a plus but not required.
Key responsibilities
Design, build, and study reinforcement learning environments, rewards, and training data that improve Claude's capabilities in engineering and the applied sciences
Create benchmarks and evaluation frameworks that measure model performance on realistic engineering and scientific workflows
Develop simulation-based training environments and verifiers, working with domain experts to validate them against real-world data
Develop approaches to long-horizon task completion, multi-agent collaboration, and complex reasoning essential for real engineering and research work
Research how models can learn efficiently from experiments and real-world feedback
Study how environments and rewards behave in large-scale training, including robustness, calibration, and generalization, so that training produces models that are both capable and well aligned
Scale research ideas from prototype to production training runs
Collaborate with domain experts and industry partners to build and test what Claude invents, designs, and engineers, and turn that feedback into training and evaluation signal
Help chart how Claude’s engineering capabilities reach real-world use: where they matter most, what stands in the way of adoption, and how that should shape research priorities
Minimum qualifications
Proficiency in Python and hands-on experience with a modern machine learning framework such as PyTorch or JAX
Hands-on experience training or evaluating machine learning models
Track record of machine learning research: forming hypotheses, designing and running experiments, and drawing sound conclusions from the results
Ability to implement your own research ideas and diagnose problems in complex systems
Ability to learn unfamiliar technical fields quickly and work productively with experts in them
Clear communication and a collaborative approach to solving problems
Excitement about improving Claude’s scientific capabilities and the downstream impact on science and technology
Commitment to developing AI that is safe and beneficial
Preferred qualifications
Experience with reinforcement learning and pre-training on large language models, including environment and reward design
Familiarity with large-scale language model training, evaluation, and inference pipelines
Published research or practical experience in AI for science or engineering, or in long-horizon reasoning
A degree or work experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, systems, or manufacturing engineering, applied physics, or computational simulation
Experience building simulators, surrogate models, or simulation-based environments and verifiers, and calibrating and validating them against real-world data
Experience with large-scale data pipelines and technical or multimodal datasets
Demonstrated ability to work across multiple domains, such as language modeling, systems engineering, and scientific computing
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic capabilities necessary to push the scientific and technological frontier.
We're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across every discipline and scale, reliably and safely: new manufacturing and experimental techniques, processes, materials, devices, instruments, machines, energy systems, and factories. We want this work to accelerate science and technology and benefit people widely.
We're seeking exceptional researchers with deep expertise in one or more of these areas. In this role, you'll work at the intersection of frontier AI and your field, developing rigorous methods to measure and improve Claude's performance on complex engineering and scientific tasks. You'll collaborate closely with researchers, engineers, and partners across Anthropic and industry to build AI systems that can engage in all phases of research and development, and to test Claude's designs against real-world feedback.
Key responsibilities
Design and implement evaluation methodologies for assessing AI model capabilities relevant to engineering and applied science research and applications
Design realistic tasks and training environments, and curate data from your field
Develop and validate simulations and computational tools for your field, and calibrate them against real-world data
Work with industry partners, manufacturers, and labs to build and test what Claude invents, designs, and engineers, and bring that real-world feedback into evaluation and training
Think through how Claude's engineering capabilities can permeate the real world: where they can have the most impact across industry and research, and what it takes to get them adopted
Advise the team on which problems, tools, and workflows matter most in your field
Collaborate with domain experts and partners to establish benchmarks and gather high-quality data for training
Translate between engineering domain knowledge and machine learning objectives
Minimum qualifications
Deep expertise and hands-on R&D or industry experience in an engineering or applied science discipline, such as mechanical, electrical, materials, chemical, aerospace, structural, industrial, or manufacturing engineering; applied physics; computational simulation
Experience with AI or machine learning, whether evaluating and training AI systems or applying these tools in your field
Track record of taking work from concept through to a working result, such as a product, process, device, experiment, or tool
Hands-on proficiency with the computational design, analysis, or simulation tools used in your field
Basic programming proficiency, for example in Python
Ability to navigate ambiguity and develop solutions in a rapidly evolving research environment
Ability to work independently while collaborating closely with cross-functional teams, and to explain your field clearly to people outside it
Commitment to using AI to accelerate engineering and scientific progress while maintaining high ethical standards
Preferred qualifications
5+ years of hands-on R&D or industry experience in an engineering or applied science discipline
Ph.D. in an engineering or applied science field, or equivalent industry experience
Industry experience in product design and manufacturing, or in developing engineering or scientific simulation software
Breadth across more than one discipline, or across several stages of the path from design to production
Familiarity with modern AI model training methods
Track record of building high-fidelity solvers or simulation engines that were validated against real-world data and used in practice
Experience working with manufacturers, vendors, contract research organizations, or academic labs
Experience managing data pipelines and working with large-scale technical datasets
Publications, patents, or contributions to open-source scientific or engineering software
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's sales organization is growing quickly across segments, industries, and geographies, and enablement needs to be reinvented to keep up. We are looking for a Head of Enablement Experience & Innovation to build the next generation of enablement with a Claude-first approach: hyper-personalized for each seller, delivered in the flow of work, and measured by what it changes.
Most sales enablement still runs on courses, content libraries, and one-size-fits-all programs. You will start instead from what Claude makes possible: understanding what sellers need, designing experiences around their role, tenure, and live deals, and bringing the right guidance into the tools where they already work. This is a rare chance to define what enablement looks like when it is built on the product we sell.
This is a leadership role for an innovator with deep expertise in using AI for enablement and a background in user experience design, product management, or workflow design. You have shipped experiences at scale and can show that people used them and performed better. You will start as an individual contributor, set direction, and build a team over time, staying close enough to the field to know when something is not working.
Key responsibilities:
Set the vision and roadmap for a Claude-first approach to enablement, deciding what to build, what to retire, and how enablement is designed and delivered
Use Claude to tailor learning to each seller's role, tenure, and live deals
Design workflows that bring guidance to sellers in the tools they already use, at the moment they need it
Lead the learning platform, enablement tools, playbooks, and content hub, using Claude to keep knowledge accurate, current, and easy to find
Run enablement like a product: lead discovery with sellers and sales leaders, work with engineering and design, and test on live deals before scaling
Track adoption and the impact on ramp time, win rate, and attainment, and act on what the data shows
Partner with Sales Leadership, Revenue Operations, Product, Marketing, and the wider Sales Enablement team so that programs, systems, and workflows feel like one experience
Run fast experiments with new Claude capabilities, scale what works, and set clear standards for responsible AI use and data governance in enablement
Minimum qualifications:
Deep, hands-on expertise using AI to design and deliver enablement or learning at scale, such as personalized learning, AI coaching, or guidance in daily workflows
Background in user experience design, product management, or workflow design, applied to enablement, learning, or sales tools
Have led the design and launch of a product or learning experience at scale, and can show how adoption and results changed
Have worked directly with senior sales leaders and frontline managers to secure sponsorship for change, including holding a position constructively when they disagreed
Have tested and improved programs with sellers and sales leaders before scaling them
Have defined and tracked adoption and impact measures that go beyond completion and satisfaction scores
Have run programs across multiple geographies, segments, or roles
Preferred qualifications:
Experience building and leading a team of senior enablement professionals, and comfort delivering hands-on until you have one
A clear, experience-based view of why learning programs often fail to change how sellers work
Prior experience in a sales or customer-facing role
Experience at an AI company or an enterprise technology company during a period of rapid sales team scaling
Hands-on experience building with Claude or similar AI tools to personalize learning or improve how people find knowledge
Clear written and spoken communication with executive audiences
Experience selecting and running learning platforms and enablement tools
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:
$310,000
—
$360,000 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.
San Francisco, CA | New York City, NY
Paris, France
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.
Singapore; Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones; Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones; Have experience working with distributed teams across significant time zone differences
Seoul, South Korea; Leverage AI tools, including Claude, to innovate recruiting processes and drive efficiency across time zones; Demonstrate cultural sensitivity and ability to navigate complex stakeholder relationships across regions and time zones; Have experience working with distributed teams across significant time zone differences
San Francisco, CA | New York City, NY
География найма не уточнена
San Francisco, CA; Washington, DC
Fort Lauderdale, United States; Must live within approximately 45 minutes of Fort Lauderdale, FL
San Francisco, CA | Seattle, WA
United States
УдалённоRemote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
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