Location: Madrid, Spain
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to public sector organisations across Spain. You'll drive the adoption of safe, frontier AI by securing strategic agreements with central government ministries, regional and local administrations, and public agencies. You'll leverage your consultative sales expertise in the public sector to propel revenue growth while becoming a trusted partner to public sector stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in citizen services, administration, and research. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with public sector decision-makers.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help public institutions obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic within the public sector in Spain. Navigate complex public institutions to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to public procurement cycles and budgeting processes, including tenders, framework agreements, and partner or resale routes, to meet and exceed revenue quotas. Analyse public sector landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within ministries, agencies, and administrative departments. Collaborate cross-functionally to differentiate our offerings for public sector applications
Navigate complex public sector stakeholder ecosystems including senior officials, digital and technology leaders, IT departments, and procurement offices to build consensus
Lead conversations with customers on data sovereignty, security, and compliance, working with Security, Legal, and Product colleagues on how we meet those requirements
Inform product roadmaps and features by gathering feedback from public sector users and conveying public sector needs. Provide insights that strengthen our value proposition for public institutions
Continuously refine the public sector sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency
You may be a good fit if you have:
7+ years of B2B sales experience in SaaS, API solutions, or emerging technologies, including selling to public sector organisations in Spain
A track record of managing complex sales cycles within public institutions and securing strategic agreements by understanding both technical requirements and public sector use cases
Practical command of Spanish public procurement, including tenders, framework agreements, central purchasing bodies, and partner or resale routes
Demonstrated ability to navigate public sector organisational structures, building consensus among diverse stakeholders including senior officials, digital and technology leaders, and IT departments
Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various public sector audiences, from technical teams to senior officials
Deep understanding of public sector buying cycles, decision-making processes, and key pain points, including data sovereignty, security, and compliance requirements
A strategic, analytical approach to assessing the public sector market combined with creative, tactical execution to capture opportunities
Bilingual proficiency in Spanish and English, with excellent written and spoken communication in both
A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for use by public institutions
Nice to have:
familiarity with the security and compliance frameworks that apply to technology purchasing in the Spanish public sector.
Acerca del puesto
Como Enterprise Account Executive en Anthropic, te incorporarás al equipo fundacional que está a la vanguardia de la introducción de nuestra API de productividad con IA de última generación y de nuestras soluciones SaaS en las organizaciones del sector público en España. Impulsarás la adopción de una IA de vanguardia y segura mediante acuerdos estratégicos con ministerios de la Administración General del Estado, administraciones autonómicas y locales y organismos públicos. Pondrás tu experiencia en venta consultiva en el sector público al servicio del crecimiento de los ingresos y te convertirás en un socio de confianza para los interlocutores del sector, ayudándoles a integrar y desplegar la IA y a descubrir todo su potencial en los servicios a la ciudadanía, la administración y la investigación. En colaboración con los equipos de GTM, Producto y Marketing, perfeccionarás de forma continua nuestra propuesta de valor, nuestra metodología de ventas y nuestro posicionamiento para que conecten con quienes toman las decisiones en el sector público.
El perfil ideal siente pasión por desarrollar nuevos segmentos de mercado, identificar oportunidades de alto potencial y ejecutar las estrategias que permiten aprovecharlas. Al impulsar el despliegue de los productos emergentes de Anthropic, ayudarás a las instituciones públicas a adquirir nuevas capacidades y contribuirás al desarrollo ético de la IA.
Responsabilidades:
Conseguir nuevos clientes y generar ingresos para Anthropic en el sector público en España. Orientarte en instituciones públicas complejas para llegar a las personas clave en la toma de decisiones, darles a conocer nuestros servicios y ayudarles a tener éxito con Anthropic. Serás responsable de todo el ciclo de venta, desde el primer contacto hasta el cierre.
Diseñar y ejecutar estrategias comerciales innovadoras adaptadas a los ciclos de contratación pública y a los procesos presupuestarios, incluidas las licitaciones, los acuerdos marco y las vías de venta a través de partners o revendedores, para alcanzar y superar los objetivos de ingresos. Analizar el panorama, las tendencias y la dinámica del sector público para convertir los planes estratégicos en acciones y campañas comerciales específicas.
Liderar la expansión en el mercado identificando nuevos casos de uso en ministerios, organismos y departamentos administrativos. Colaborar de forma transversal para diferenciar nuestra oferta en las aplicaciones del sector público.
Desenvolverte en ecosistemas complejos de interlocutores del sector público (altos cargos, responsables de transformación digital y tecnología, departamentos de TI y órganos de contratación) para generar consenso.
Liderar las conversaciones con los clientes sobre soberanía del dato, seguridad y cumplimiento normativo, trabajando con los equipos de Seguridad, Legal y Producto en la forma en que respondemos a esos requisitos.
Contribuir a la hoja de ruta y a las funcionalidades del producto recogiendo las opiniones de las personas usuarias del sector público y trasladando sus necesidades. Aportar ideas que refuercen nuestra propuesta de valor para las instituciones públicas.
Perfeccionar de forma continua la metodología de ventas para el sector público incorporando lo aprendido a playbooks, plantillas y buenas prácticas. Identificar mejoras de proceso que optimicen la productividad y la coherencia comerciales.
Este puesto puede encajar contigo si tienes:
Al menos 7 años de experiencia en ventas B2B (SaaS, soluciones API o tecnologías emergentes), incluida la venta a organizaciones del sector público en España
Una trayectoria demostrada en la gestión de ciclos de venta complejos en instituciones públicas y en el cierre de acuerdos estratégicos, basada en la comprensión tanto de los requisitos técnicos como de los casos de uso del sector público
Un dominio práctico de la contratación pública española: licitaciones, acuerdos marco, centrales de compras y vías de venta a través de partners o revendedores
Capacidad demostrada para desenvolverte en las estructuras organizativas del sector público y generar consenso entre interlocutores diversos, entre ellos altos cargos, responsables de transformación digital y tecnología y departamentos de TI
Experiencia contrastada superando objetivos de ingresos gracias a una gestión eficaz de un pipeline y un proceso de venta en constante evolución
Excelentes habilidades de comunicación y soltura para presentar ante públicos diversos del sector público, desde equipos técnicos hasta altos cargos
Un conocimiento profundo de los ciclos de compra, los procesos de decisión y los principales retos del sector público, incluidos los requisitos de soberanía del dato, seguridad y cumplimiento normativo
Un enfoque estratégico y analítico del mercado del sector público, combinado con una ejecución táctica y creativa para aprovechar las oportunidades
Nivel bilingüe de español e inglés, con una excelente comunicación oral y escrita en ambos idiomas
Pasión por los sistemas avanzados de IA y sus aplicaciones, o experiencia con ellos. Te importa de verdad que los sistemas de IA de vanguardia se desarrollen de forma segura y ética para su uso por parte de las instituciones públicas.
Se valorará:
familiaridad con los marcos de seguridad y cumplimiento normativo aplicables a la contratación de tecnología en el sector público español.
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: Lisbon, Portugal
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Belgrade, Serbia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Yerevan, Armenia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Tbilisi, Georgia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Our mobile gaming portfolio includes AppMagic and Playliner, which help game developers and publishers understand the mobile games market and how top games run their LiveOps.
We’re looking for an AI Engineer to build LLM-powered prototypes for our gaming analytics products. You’ll turn product ideas into working prototypes on real data, find out quickly which ones are worth building, and then take the successful ones all the way to production together with our engineering teams.
What you’ll do
- Build AI prototypes for game analytics, with a focus on multimodal data: screenshots, images and gameplay video. For example, recognizing LiveOps events from in-game screenshots or extracting what changed in a game update.
- Choose and use the right models for each task (mainly Claude), balancing quality, speed and cost.
- Build data pipelines with our Data Engineer to run models on large volumes of game data.
- Measure quality so we know what works and what doesn’t.
- Build retrieval and multi-step pipelines.
- Turn the best prototypes into real product features together with our engineers.
Our tech stack
Python, FastAPI, LangGraph, OpenCV, PostgreSQL, S3, Kubernetes, TypeScript, React
What we’re looking for
- Strong Python (TypeScript is a plus).
- Experience with multimodal models: screenshots, images or video.
- Hands-on experience building products on top of LLM APIs, not just chatbots.
- Understanding of RAG and vector search, and when they’re not needed.
- You measure results and can show how well your solution works.
- You can work independently and explain your decisions clearly.
- Ability to pass technical interview both in Russian & English.
What we’d be particularly excited about
- Interest in or experience with mobile games, LiveOps or market analytics.
- Hands on experience in building AI projects
- Experience with LangGraph, LlamaIndex or similar frameworks, and an opinion on when they’re worth using.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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
A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once.
You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next.
What you'll do
Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them
Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows
Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone
Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working
Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate
Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout
Partner with product, design, data science and sales to turn usage data and customer feedback into priorities
Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority
Minimum Qualifications
Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage
Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners
Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary
Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs
Understand what enterprise admins and security teams need from policy, permissions and governance at scale
Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners
Drive cross-team and cross-company alignment to ship, with influence over authority
Preferred Qualifications
Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level
Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization)
Experience with data governance or information protection (sensitivity labels, DLP)
Built admin consoles or policy engines for multi-tenant SaaS
Run growth experiments on activation funnels
Built AI products or agent tool integrations (MCP)
Helped grow a developer or partner ecosystem around a platform
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly, United States
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 compute runs on a growing global portfolio of data centers built with development partners. As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed.
You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them.
What you'll do
Be our engineering presence on site.
You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base.
Get issues closed.
You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck.
Find out why things fail.
When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk.
Clear the path to commissioning and handover.
You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews.
Bring the field back into the design.
You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver.
What this role is not
You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents.
You may be a good fit if you
Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead
Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed
Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course
Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change
Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through
Write short, factual reports that a busy reader can act on
Treat safety as your own job, and will stop work that isn't safe
Have a degree in engineering, construction management or a related field, or equivalent practical experience
Strong candidates may also have
Experience as an owner's representative overseeing an EPC or general contractor
Commissioning, startup or system turnover experience
Worked in LNG, refining, offshore, power generation, semiconductor or naval environments
An electrical, mechanical or civil, structural and architectural (CSA) engineering background
A PE license, PMP or OSHA 30 certification
Familiarity with tools such as Procore or Primavera P6
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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production.
We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production.
If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit.
Key responsibilities
Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations
Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves
Design APIs and abstractions that work equally well for engineers and for AI agents
Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms
Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback
Build infrastructure-as-code workflows that many teams rely on for safe, routine changes
Scale artifact distribution so code and configuration reach machines quickly and efficiently
Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes
Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform
Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring
Minimum qualifications
Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java
Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams
Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP
Strong written and verbal communication skills
Preferred qualifications
Experience building deployment, release, or change management systems at large scale
Experience with production on-call and incident response
Experience with Rust in production
Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts
Deep knowledge of Kubernetes, including controllers and operators
Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking
Experience building feature flag, experimentation, or dynamic configuration systems
Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage
Experience with software supply chain security, such as signed build provenance
Experience building high-throughput workflow engines or control planes backed by relational databases
Experience building internal developer platforms and leading adoption across many teams
Experience using AI agents in your own engineering work, or building systems that agents operate
Representative projects
Build operator controls for progressive rollouts, including pause and resume that preserve rollout state
Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to
Build cluster-health-aware rollouts that steer around unhealthy clusters
Add a new workload type to the platform, including its rollout, verification, and rollback behavior
Design a deployment control plane that handles sharp bursts of agent-driven traffic
Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
£265,000 to £375,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
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
—
£375,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a
professor in a quantitative discipline, a technical founder or a staff-level engineer
and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required.
What to expect
A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers
Access to Claude models and GPU compute
Connection to the broader AI safety and security research community
Interview process
The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check.
Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027.
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into working on empirical AI research full-time
Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer)
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Strong candidates may also
Have experience authoring research papers in machine learning, NLP, or AI safety
Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases
Mentors and research areas
Potential Anthropic mentors include:
Sara Price
: leads the Alignment Training team; background in data science
Ethan Perez
: leads the Alignment Science team; background in machine learning
Evan Hubinger
: leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI)
Samuel Marks
: leads the Scalable Oversight team; background in mathematics
Elana Simon
: researches the interpretability of language models and biological models; background in biomedical informatics
Belinda Li
: researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT)
Jack Lindsey
: leads the Model Psychology team; background in theoretical neuroscience
Nicholas Carlini
: researches adversarial machine learning and AI security; previously at DeepMind and Google Brain
Jascha Sohl-Dickstein
: works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain
Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include:
AI safety & alignment
Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains.
Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios.
Model Organisms: Creating
model organisms of misalignment
to improve our empirical understanding of how alignment failures might arise.
Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures.
Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment.
AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations.
AI security & frontier red-teaming
Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography.
ML systems & reinforcement learning
Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines.
For a fuller picture of the questions we care about, see our
Recommendations for Technical AI Safety Research Directions
and recent publications from our
Alignment
,
Interpretability
and
Frontier Red
teams.
Logistics
Duration:
Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception.
Location:
We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire.
Commitment:
Full-time role for the duration of the residency.
Compensation:
$350,000 to $500,000/year pro-rated for the duration of the residency + benefits
Visa sponsorship:
We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire.
Applicants may also be considered for the
Anthropic Fellows Program
.
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:
$350,000
—
$500,000 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: New York City, NY; 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
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions.
Responsibilities:
Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes
Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize
Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions
Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters
Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses
Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve
You may be a good fit if you:
Have extensive experience in data science, including leading analytics for a product or research area at significant scale
Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists
Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision
Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information
Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work
Communicate clearly in writing and in presentations, including to executive audiences
Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
Care about the company's mission of building helpful, honest, and harmless AI
Strong candidates may also have:
Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management
Experience building or scaling a data science team in a fast-growing organization
Experience working closely with Product or Research teams, especially on LLM or AI products
Comfort working with unstructured data
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:
$460,000
—
$460,000 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: Москва
Workplace: Офисный
Мы — отдел экспериментальных технологий в AI VK, который решает широкий спектр ML- и DL-задач. Наша команда анализирует, как наши разработки можно переиспользовать и где применить, а затем масштабировать.
Задачи
Развивать компоненты AI-ассистента для VK Видео: понимание намерения, удержание контекста диалога, выбор стратегии и маршрутизация инструментов
Улучшать генерацию кандидатов, semantic retrieval и reranking для поиска и персонализированных рекомендаций
Работать с гибридным поиском: эмбеддинги, текстовые и структурные фильтры, поисковые API, рекомендательные модели и явные критерии пользователя
Оптимизировать candidate budget и смешивание кандидатов из разных источников
Обучать и дообучать модели для отдельных компонентов системы: LLM-like, reranker, query rewriting, relevance-модели
Собирать и улучшать обучающие и тестовые датасеты: реальные и синтетические запросы, сложные негативные примеры, long-tail-сценарии и размеченные диалоги
Создавать и поддерживать golden datasets, human-aligned evaluation и автоматические проверки качества; калибровать auto-eval по человеческой оценке
Анализировать деградации, формулировать гипотезы и проверять их в воспроизводимых экспериментах
Оценивать модели не только по общей метрике, но и по отдельным сценариям, категориям запросов, релевантности, разнообразию, безопасности и качеству диалога
Оптимизировать latency, стоимость и использование вычислительных ресурсов при обучении и инференсе
Готовить компоненты к промышленной эксплуатации: интеграция, нагрузочное тестирование, мониторинг, обработка ошибок и контроль регрессий
Участвовать в offline- и online-экспериментах, подготовке A/B-тестов и интерпретации продуктовых метрик
Проводить code review, документировать эксперименты и участвовать в обсуждении архитектуры и исследовательских результатов
Требования
Сильная теоретическая база и опыт работы в рекомендательных системах, информационном поиске, NLP/LLM; готовность работать на их пересечении
Понимание устройства retrieval и ranking: embeddings, candidate generation, negative sampling, cross-encoders, reranking
Знание основных offline-метрик поиска и рекомендаций: Recall@K, Precision@K, NDCG, MRR и их ограничений
Опыт обучения, валидации и внедрения ML-моделей; доведённые до production либо production-like среды самостоятельно разработанные компоненты
Навыки постановки воспроизводимых экспериментов, анализа ошибок и статистической интерпретации результатов
Понимание жизненного цикла ML-системы: данные, обучение, inference, мониторинг, деградации и переобучение
Опыт работы с большими объёмами данных и пайплайнами обработки; YT, Spark или аналогичные инструменты
Базовые навыки Linux, Git, контейнеризации и работы с сервисами
Будет плюсом
Опыт создания LLM-приложений: tool calling, agentic workflows, RAG, structured generation
Дообучение LLM или encoder-моделей: SFT, LoRA/adapters, RL
Построение lexical, semantic или hybrid retrieval
LLM-as-a-judge, human evaluation, построение golden datasets и калибровка автоматических оценок
Оптимизация GPU-инференса, batching, quantization, model serving
Опыт с распределённым обучением и промышленной ML-инфраструктурой
Практика A/B-тестирования рекомендательных или поисковых моделей
Мультимодальные модели, VLM, понимание видео или рекомендательные системы для медиаконтента
Наличие публикаций по тематике LLM, NLP, multimodal models
Location: New York City, NY; San Francisco, CA | New York City, NY; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world.
You’ll be the senior data science leader embedded in our Core Apps product team and a strategic thought partner to its product leads. You’ll help set product direction for Claude Code and other new bets across Core Apps: bringing a point of view on where to invest, how to grow our Apps business, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes product decisions.
Responsibilities:
Act as a strategic thought partner to Core Apps product leads, helping shape product strategy, roadmap priorities, and the major bets the team makes
Set the data science agenda for Core Apps, deciding where the Product Data Science team can have the most impact and what it should deprioritize
Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions
Frame the most important and ambiguous questions facing the business, size the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Core Apps measures success, establishing the core metrics and measurement frameworks that align teams and leadership on what matters
Set the standard for experimentation and causal inference across Core Apps, and personally lead the highest-stakes analyses
Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners
Establish foundational data practices and shape the analytics infrastructure Core Apps needs to support rapid iteration and decision-making as our products grow
You may be a good fit if you have:
Have extensive experience in data science, including leading analytics for a product area at significant scale
Have 3+ years managing data science teams, including setting team direction and developing senior data scientists
Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision
Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information
Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work
Communicate clearly in writing and in presentations, including to executive audiences
Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress
Care about the company’s mission of building helpful, honest, and harmless AI
Strong candidates may also have:
Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem
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:
$460,000
—
$460,000 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
AI has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Alongside the models and tools we build for scientists, Anthropic’s life science research teams now run their own wet lab experiments. We’re hiring a life sciences patent counsel to work side-by-side with our researchers as they work to advance biomedical progress.
You will manage patent strategy and filings for our life sciences research, from the first conversation with a scientist through global prosecution. You will also be our in-house expert on the patent questions, many of them new, that arise when scientists use AI as a research tool. You will partner closely with our patents lead (direct manager), the Head of IP, Research Legal, our Life Sciences Counsel, and outside counsel to design and implement a patent program that supports our researchers and partners and is aligned with the company’s mission.
Responsibilities
Manage patent strategy and filings for Anthropic’s life sciences research in the U.S. and internationally, including invention harvesting, filing decisions, drafting oversight, prosecution, and management of outside counsel
Serve as the trusted patent advisor to our life science research teams, and design and implement scalable guidance and processes to support our fast-growing life science efforts
Make inventorship determinations for AI-assisted research, and advise on inventor declarations and the duty of candor
Develop claim and filing strategies across biological and chemical inventions, platform technologies, and computational methods, accounting for written description, enablement, eligibility, and obviousness
Partner with Research Legal and Communications on the timing of publications, preprints, presentations, and open-source releases
Advise on the patent aspects of agreements with life science and biopharma counterparties, including ownership of inventions and improvements, and support patent diligence and freedom-to-operate analyses for our research
Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
A degree or equivalent training in a life sciences or chemistry field (for example, molecular biology, biochemistry, genetics, bioengineering, or organic chemistry)
Substantial hands-on experience drafting and prosecuting U.S. life sciences patent applications, and directing foreign prosecution through local counsel
Lead responsibility for a patent portfolio, including managing budget and outside or foreign counsel
Experience making inventorship determinations and resolving ownership questions in multi-party research arrangements (for example, with universities and other partners)
Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners
A low-ego, high-empathy orientation and a “doer” attitude: willing to roll up your sleeves and pitch in where needed
Intense curiosity about AI and science, and a commitment to responsible AI development
Preferred qualifications
10+ years of patent experience (including time as a patent agent, technical specialist, or examiner) at a law firm, a biotech or pharmaceutical company, or both, with the ability to operate independently and hit the ground running
Advanced degree in a life sciences or chemistry field
Experience with AI/ML companies, or with inventions at the boundary of biology and machine learning
Working knowledge of how patents interact with regulatory exclusivity, trade secrets, and open science
Familiarity with biosecurity, dual-use research, or export control considerations in the life sciences
Experience leveraging AI to optimize their work, with a desire to work in a fast-paced, innovative environment
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$335,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We’re looking for a Solutions Marketing Manager to bring Claude to market across emerging industries and newer customer segments and personas, where enterprise AI demand is moving fastest. You’ll drive the strategic positioning and go-to-market approach for Claude for organizations ranging from small businesses to ecommerce to retailers, manufacturers, and energy companies, and more. You’ll develop messaging and positioning for nuanced sub-sectors that we have yet to build for and that need their own story, and also develop narratives for the professionals who do the work inside them.
Working at the intersection of sales, product, and marketing, you'll develop segment-specific solutions that showcase Claude's transformative potential for industry-specific applications across our product portfolio. You bring deep customer empathy, technical acumen, and the ability to translate complex AI capabilities into clear, value-driven solutions that resonate with decision-makers across organizations.
This role is built for a versatile product marketer who can go deep and pivot quickly from one industry to the next for a major launch, program, or industry moment. If you’re energized by range, learn new markets fast, and want to shape how entire industries adopt AI, this role is for you.
Key responsibilities
Develop and execute solutions marketing strategy across a number of different priority industries and customer segments
Craft differentiated positioning and messaging for industries and their sub-sectors across solutions pages, campaign materials, and content
Lead go-to-market for industry product and solution launches, including sector-specific product offerings and relevant MCP integrations and skills
Partner with field marketing and sales leaders to build industry points of view, use cases, and programs around major launches and flagship industry events
Build persona-based solutions that speak to specific types of users across industries, such as finance, legal, customer support, and operations teams
Adapt industry and persona narratives for different customer segments, including Enterprise, Commercial, SMB, and Startups
Partner with the alliances team on joint go-to-market with industry partners, including shared positioning, launch coordination, and integrated campaign moments
Work with communications, social, and content teams on executive thought leadership, customer stories, and speaking opportunities relevant to each industry
Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for priority industry accounts
Report on which channels and campaigns are driving results and identify opportunities for iteration
Minimum qualifications
Direct experience marketing software products across multiple industries or customer segments in tandem, and know how to find what’s distinct in each and what can scale across them
Familiar with developing solutions that span both technical and business buyers, working closely with enterprise architecture teams or transformation offices
Track record of building solutions that significantly expand deal sizes and accelerate sales cycles
Quick learner who can absorb context on new industries, buyer dynamics, and regulatory considerations rapidly, and speak credibly with the customers and partners in them
Strategic and tactical operator, comfortable setting an industry strategy with senior leaders and rolling up your sleeves to ship
Strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for technical and business audiences
Thrive in a 0-to-1 environment, can shift priorities quickly, and can build processes where none exist
Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams
Passionate about AI’s potential to transform how industries work while maintaining focus on responsible, safe deployment
Preferred qualifications
8+ years of B2B product marketing or solutions marketing experience working inside of software companies
Demonstrated success in creating vertical-specific solutions for operationally intensive or regulated industries
Possess certifications or deep knowledge in cloud platforms, enterprise architecture - experience with usage-based or consumption pricing models strongly preferred
Experience marketing AI/ML products or emerging technology to enterprise buyers
Track record of building marketing programs from scratch at a growth-stage company
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Boston, MA; 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 the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the pharma and biotech ecosystem, spanning large pharma, mid-size and emerging biotech, and the organizations that support drug development. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with pharmaceutical and biotech companies. You’ll bring deep domain fluency in how drugs are discovered, developed, approved, and launched to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior pharma and biotech stakeholders, helping them embed and deploy AI across the drug lifecycle from target discovery through commercialization. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across large pharma and biotech.
The ideal candidate has a passion for developing new market segments within pharma and biotech, pinpointing high-potential opportunities across discovery, preclinical, clinical, regulatory, manufacturing, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across pharma and biotech organizations, you’ll help them accelerate the path from science to patients while advancing the ethical development of AI.
Key responsibilities
Build and lead a specialized team of Strategic Account Executives covering large pharma and biotech accounts, setting growth targets by segment and coaching reps through the full sales cycle from outbound to close
Design and oversee sales strategies tailored to the distinct procurement cycles of pharma and biotech, including R&D and discovery budgets, clinical development and operations, regulatory and CMC investment, commercial budgeting, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets
Identify and prioritize high-potential opportunities across target identification and drug discovery, preclinical development, clinical trial design and operations, regulatory affairs and submissions, medical affairs, manufacturing and quality (GxP), pharmacovigilance and drug safety, and commercial functions, partnering cross-functionally to differentiate Anthropic’s offering for pharma and biotech use cases
Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota
Serve as Anthropic’s domain expert across the pharma and biotech value chain, including discovery research, IND-enabling studies, clinical trial operations, NDA/BLA regulatory submissions, tech transfer and manufacturing, post-market safety, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale
Partner directly with C-suite and senior R&D leaders (CEOs, CIOs, CDOs, CSOs, CMOs, Heads of R&D, Heads of Clinical Development, Heads of Regulatory, CCOs) across pharma and biotech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships
Partner closely with Product and Applied AI to translate feedback from discovery scientists, clinical operations teams, regulatory and quality leaders, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment
Build strategic relationships with life sciences-focused system integrators, technology vendors, CROs, CDMOs, and industry organizations to scale go-to-market capabilities
Establish Anthropic’s position as the AI partner of choice across pharma and biotech through conference presentations, white papers, case studies, and participation in industry forums
Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across pharma and biotech accounts
Minimum qualifications
10+ years of experience in life sciences, with at least 5 years specifically selling into or working within pharma or biotech organizations (R&D, clinical, regulatory, manufacturing, or commercial functions, or related consulting)
Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in pharma, biotech, or adjacent life sciences settings
Deep understanding of business models, operations, and economics across pharma and/or biotech, including the drug development lifecycle, the regulatory environment (FDA, EMA, GxP, 21 CFR Part 11), and competitive dynamics
A track record of managing or overseeing complex, multi-stakeholder sales cycles within pharma or biotech organizations, securing strategic deals by understanding both technical requirements and scientific, regulatory, and commercial use cases
Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process
Excellent communication skills, with the ability to present confidently across pharma and biotech audiences, from discovery scientists and clinical leaders to C-suite executives
A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI
Preferred qualifications
Deep understanding of buying cycles, decision-making processes, and key pain points across both large pharma and biotech, and across multiple functions (R&D, clinical, regulatory, manufacturing, commercial)
A strategic, analytical approach to assessing the pharma and biotech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team
Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning drug discovery, clinical development, regulatory and quality, pharmacovigilance, manufacturing, or commercial functions
Experience building or scaling a specialized sales team from an early stage
Passion for and/or experience with advanced AI systems and their applications in drug discovery and development, with strong conviction around safe, ethical development of AI in these contexts
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:
$450,000
—
$700,000 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: 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 the leader of our Enterprise Asset & Wealth Management sales organization, you will build and lead a team that brings transformational AI to the world's leading asset managers, wealth managers, and private markets firms. These are organizations rethinking how they generate investment insight, serve clients and advisors, scale personalization, and meet fiduciary and regulatory obligations. They are looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business.
You will own a broad portfolio of major AWM institutions at very different stages of AI adoption, from firms already running Claude in production to those just beginning their journey. Your coverage will span global and regional asset managers, alternatives managers, and wealth businesses. You will lead Account Executives, design the coverage and territory model, and build the repeatable, AWM-specific plays that turn early wins into durable, scaled adoption across research, portfolio and client operations, advisor productivity, and compliance and supervision. The selling is technical and multi-stakeholder: platform decisions, model governance, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. You will shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most.
This is a rare opportunity to build an organization, not just run a number: to shape how the asset and wealth management industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell.
Key responsibilities
Define AWM go-to-market strategy and coverage design, including segmentation across asset managers, alternatives managers, and wealth platforms, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales
Recruit, coach, and retain Enterprise Account Executives with deep asset and wealth management and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing
Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable across AWM, such as investment research and idea generation, portfolio and client reporting, RFP and due diligence automation, advisor productivity and client personalization, and compliance and supervision workflows, partnering with Marketing, Enablement, and partner teams to scale them
Engage personally with C-level and business-line executives (CEOs, CIOs, COOs, Chief Data and AI Officers, Heads of Distribution, and Heads of Wealth) on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion
Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate AWM needs, including fiduciary, books-and-records, and client-data requirements, into product and roadmap input
Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, cloud partners, and the data and technology providers that AWM firms rely on, to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader
Minimum qualifications
Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms
A track record of winning and growing enterprise customers, including building C-suite relationships, in asset and wealth management (asset managers, alternatives managers, private banks, wealth platforms, or the technology and data providers that serve them)
Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization
Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders, and with investment and distribution leaders: CIOs, CTOs, CDOs, Heads of AI/ML, Heads of Research, and Heads of Wealth or Distribution, plus experience pairing effectively with solutions architects and applied AI teams
Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope
Experience building or meaningfully scaling a verticalized or multi-segment sales organization
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers, wealth managers, or private markets firms
Familiarity with AWM use cases and buyers, such as investment research and portfolio analytics, client reporting and RFP automation, advisor and relationship-manager productivity, and fund operations and servicing
Deep familiarity with regulated-industry selling in AWM, including fiduciary and suitability obligations, SEC and FINRA expectations on supervision and books and records, model-risk management, client-data privacy, security review, and the governance expectations of financial institutions
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators, as well as the data, analytics, and portfolio-technology vendors embedded in AWM firms
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience leading organizations through rapid growth, re-segmentation, or significant change
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:
$450,000
—
$700,000 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
Perplexity is seeking an Engineering Manager to lead and grow our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer https://www.perplexity.ai/computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users.
As the engineering manager supporting the Agent Engine team, you'll bring AI expertise, sharp product intuition, and strong leadership and collaboration skills to advance the frontier of what agents can accomplish for our millions of devoted users. You'll lead, grow, and support a team in solving many open problems in AI, including:
- Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users;
- Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives;
- Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions;
- Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities;
- Designing optimal data representations and modes of interaction between agents and their environments;
- and much, much more.
RESPONSIBILITIES
- Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space.
- Develop and leverage cutting-edge AI systems and related technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase.
- Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps.
- Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team.
- Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates.
- Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry.
QUALIFICATIONS
- Strong foundational familiarity with the AI systems stack.
- Proficiency in Python (bonus points for TypeScript, Go, and/or Rust).
- Domain knowledge in at least one of the following areas:
- Harness engineering
- Agent Skills and plugin architectures
- Model training and reinforcement learning
- Browser technologies (CDP, Playwright, extension development, etc.)
- Strong technical intuition and taste for user experience excellence.
- Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical.
- Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent.
- 8+ years of engineering experience, with at least 3 of those years as an engineering manager.
УдалённоLisbon, Portugal
УдалённоBelgrade, Serbia
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УдалённоRemote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Противоречивые условия: Most full-time research roles at Anthropic require relocation to San Francisco
San Francisco, CA | New York City, NY; Most full-time research roles at Anthropic require relocation to San Francisco
leadNew York City, NY; San Francisco, CA; Seattle, WA
leadМосква
leadNew York City, NY; San Francisco, CA | New York City, NY; Seattle, WA
San Francisco, CA | New York City, NY
San Francisco, CA | New York City, NY; For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation
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