Location: Remote-Friendly (Travel-Required) | 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 RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run.
Responsibilities
Build and improve the RL training infrastructure that researchers depend on day-to-day
Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed
Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster
Own the reliability and performance of research runs end-to-end
Contribute to design decisions that shape how Anthropic does RL at scale
You may be a good fit if you
Have strong software engineering fundamentals and a track record of building performant, reliable systems
Have worked on ML infrastructure, distributed systems, or research tooling
Care about enabling other people's work and find leverage through platforms rather than individual experiments
Are comfortable operating across the stack, from low-level performance work to RL algorithms
Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego
Strong candidates may also have
Experience with large-scale distributed training (RL, pre-training, or post-training)
Familiarity with JAX, PyTorch, or similar ML frameworks
A track record of operating at the edge of research and infra in a fast-moving environment
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:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Paris, Remote
Workplace: remote
The Trainer is our pedagogical and platform expert within the Professional Services (PS) team. Your mission is to empower our clients to build Collaborative Learning organizations by mastering our platform and methodology. You aren't a technical expert; you are a pedagogical and platform expert who ensures that clients don’t just "use" the software, but master it to drive long-term engagement.
By owning our "One-to-Many" offer (Engagement Academy & Stadium webinars), you ensure that every client, from their first day of implementation, has the knowledge and confidence to make their project a success. You don't just deliver content; you develop a scalable learning ecosystem that ensures every client gets the best start possible by mastering our Collaborative Learning methodology.
You will work closely with the Customer Success Team and Product teams to ensure our training offer addresses the actual friction points and needs of our client base.
Within 1 month, you will:
Master our Platform's core user experience and the Collaborative Learning methodology
Become a platform expert (from a user & admin perspective) and get certified on our methodology.
Shadow existing Stadium webinars and Academy workflows to understand the current "One-to-Many" engine.
Connect with colleagues worldwide through virtual coffee chats and team-building activities.
Within 3 months, you will:
Host your Stadium webinars and receive peer feedback on your ability to drive platform engagement.
Identify and execute your updates on the Engagement Academy to align with the latest product releases.
Define your quarterly priorities in relation to the Support & Services roadmap with your coach.
Actively contribute to our internal knowledge base (Confluence) to share best practices on platform usage and client engagement.
Within 6 months, you will:
Lead a project to improve the One-to-Many strategy (e.g., new webinar formats, gamification of the Academy, or localized content).
Participate in Discovery Meetings with Product Managers to share insights on how clients actually
use
and
adopt
the platform.
Analyze Academy completion rates and Stadium satisfaction scores to iterate on the training Catalog.
Build new processes and update Confluence with the information needed for the team's daily work.
Within 12 months, you will:
Onboard and mentor new Trainers, teaching them how to turn platform features into compelling learning stories.
Take full ownership of a recurring team pillar (e.g.,being the internal referral for complex solution training).
Develop advanced toolkits and training paths based on the most successful client use cases.
The Skills Set:
3+ years of successful experience as a Trainer OR successful client-facing experience in Customer Success/Care.
You are recognized for your listening and teaching skills
You express your ideas in a clear and concise manner, both in writing and orally
You are proactive and prefer working in a strong results-oriented culture
A past experience in the learning industry is a plus
You have excellent overall writing skills in a number of different styles/tones, and impeccable spelling and grammar in German and English.
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What we offer:
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity_360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process:
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with our LEC Coach
Case Study Meeting with our LEC Coach and a member of the team
Clarification Meeting with our Head of professional Services EMEA
Culture Fit Meeting with our VP Global Professional Services
Offer !
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: New York City, NY; Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC; San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic sits at the frontier of AI development, which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team exists to make sure we see them coming. As a Threat Intelligence Engineer, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work shoulder-to-shoulder with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builder's role on a small, high-leverage team — you'll have broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic.
Responsibilities:
Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector — producing timely, actionable intelligence for Security Engineering stakeholders
Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack
Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections
Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals
Partner with Detection Engineering and Incident Response to translate intelligence into detection rules, hunting hypotheses, and incident context in near-real-time
Curate and triage inbound intelligence from commercial feeds, open source, government, and trusted peer relationships — prioritizing what matters for Anthropic's threat model
Contribute to threat models and risk assessments that inform security architecture and defensive investment across the enterprise
Build and maintain external intelligence-sharing relationships with peer companies, ISACs, and government partners
You may be a good fit if you:
Have 5+ years of hands-on experience in cyber threat intelligence, threat hunting, or intrusion analysis at an organization facing sophisticated adversaries
Have deep, demonstrable knowledge of specific nation-state or advanced criminal threat actors — their tooling, infrastructure patterns, tradecraft, and targeting
Are a strong engineer: you write production-quality Python (or similar), have built automation and data pipelines, and don't need to hand requirements to someone else to get tooling built
Are comfortable performing malware analysis, infrastructure analysis (passive DNS, certificate pivoting, netflow), and log analysis to develop and validate your own findings
Have experience authoring detection logic (YARA, Sigma, Snort/Suricata, or SIEM-native queries) and understand what makes a detection durable vs. brittle
Can write clearly and concisely — your intelligence products are read and acted on, not filed away
Have an existing network in the threat intelligence community and a track record of productive bidirectional sharing
Strong candidates may have:
Experience defending cloud-native and research-heavy environments (AWS/GCP, Kubernetes, ML infrastructure, developer tooling and supply chain)
Prior work operating in a threat intelligence role tracking sophisticated or state-sponsored adversaries, where your analysis directly informed detection, threat hunting, and incident response
Experience applying LLMs or other AI tooling to accelerate intelligence collection, enrichment, and analysis
Public research, conference talks, or open-source tooling contributions in the CTI space
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro
CloudLinux is transforming the Linux infrastructure market by ensuring security and stability for over 500,000 servers worldwide. Our products - CloudLinux OS and Imunify360 - are the de facto standard in the hosting industry and Enterprise segment.
We are seeking a visionary engineer to lead the evolution of our data platform. In 2025, we are shifting from classic database administration to an Internal Database-as-a-Service (DBaaS) model. We need a specialist who doesn’t just "configure backups," but designs resilient distributed systems, writes code to automate infrastructure, and transforms databases into a reliable service for product teams.
If you are tired of endless tickets and want to build platforms capable of processing petabytes of data, this role is for you.
Your Challenges & Responsibilities:
DBaaS Architecture:
Design and implement a self-service platform based on
Terraform
and
Ansible
, enabling the deployment of HA clusters (PostgreSQL and ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal + OpenNebula + Kubernetes + Public Clouds). You will turn infrastructure into a product.
Scaling ClickHouse:
Manage exponentially growing analytics clusters (12+ clusters, tens of terabytes of data). You will tackle sharding, table engine optimization (ReplicatedMergeTree), and building reliable S3 backup pipelines under high load.
Data Platform & Analytics Support:
Maintain and scale the infrastructure for Apache Airflow and Redash. You will ensure the reliability of ETL pipelines and visualization tools, bridging the gap between raw infrastructure and the data analytics team.
Reliability as Code:
Implement SRE practices in data management. Replace manual incident response with automated self-healing mechanisms. Define and implement SLO/SLI for all databases.
Stack Modernization:
Lead the migration process from legacy solutions to modern cloud patterns. Participate in decision-making regarding the implementation of Kubernetes operators for stateful workloads.
Expertise & Mentorship:
Serve as the technical authority for product teams, helping them optimize data schemas and SQL queries for high-load systems.
Our Tech Stack:
Databases
: PostgreSQL 15+ (Patroni, PgBouncer), ClickHouse (Sharded/Replicated), MongoDB, Redis, Kafka
Data & Analytics:
Apache Airflow, Redash (Infrastructure & Integration).
Infrastructure:
Own 3+DC colocation (OpenNebula, Kubernetes, Bare Metal), AWS, Google Cloud, Azure, DO – Hybrid Cloud.
Automation & IaC:
Terraform, Ansible, Python/Go, GitLab, Jenkins, Gerrit.
Observability
: VictoriaMetrics, Grafana, Loki.
Why CloudLinux?
Culture:
A Remote-first company with an "Employees First" principle. We value results, not hours in the office.
Impact:
Your architectural decisions will determine the stability of services used by thousands of companies around the world.
Growth:
We support professional development and pay for training and conferences.
Requirements
What We Expect From You:
AI-Augmented Engineering:
You don't view AI as a replacement for deep technical fundamentals, but as a high-leverage tool. We actively use AI agents (Claude, Codex, Gemini, etc.) to automate boilerplate, analyze complex logs, and speed up research. We expect you to be open to modern workflows and integrate AI into your day-to-day operations, allowing you to focus your brainpower on the true architectural challenges.
Deep PostgreSQL Expertise (5+ years):
You know MVCC internals, understand locking mechanics, can configure Patroni and PgBouncer "with your eyes closed," and have experience with seamless major version upgrades under load.
ClickHouse Mastery:
Experience operating large clusters, understanding ZooKeeper/ClickHouse Keeper, sharding, replication internals, and the ability to diagnose performance issues at the data-part level.
Engineering Mindset (SRE/DevOps):
You hate doing the same task twice by hand. Experience writing complex Terraform modules and Ansible roles is mandatory. Programming skills in
Python
or
Go
for automation are a huge plus.
Hybrid Environment Experience:
You understand the differences between running DBs on Bare Metal vs. Kubernetes vs. Cloud and know how to optimize TCO and disk subsystem performance (NVMe, Network Storage).
Systems Approach:
You see the big picture - from the network packet to the application business logic. You understand the importance of security (FIPS, Audit logs) and Disaster Recovery.
English:
upper-intermediate or higher - to ensure clear communication of progress within the teams
Nice to Have:
Experience building an Internal Developer Platform (IDP).
Experience operating databases in Kubernetes (CloudNativePG, Altinity Operator).
Experience working in Cloud and Hosting providers on similar services.
Benefits
What's in it for you?
A focus on professional development.
Interesting and challenging projects.
Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide.
Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves.
Compensation for private medical insurance.
Co-working and gym/sports reimbursement.
Budget for education.
The opportunity to receive a reward for the most innovative idea that the company can patent.
By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (
https://cloudlinux.com/candidate-privacy-notice
), which provides detailed information on how we maintain and handle your data.
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal Civilian Account Executive - Commerce & Interior at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Commerce (DOC) and Department of the Interior (DOI). You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations
Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with agency missions and modernization initiatives
Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements
Create and maintain sales playbooks specific to federal civilian use cases and procurement processes
Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements
You may be a good fit if you have:
8+ years of enterprise sales experience in the federal civilian space preferably with DOC & DOI, alongside a proven track record of driving adoption of emerging technologies
A deep understanding of federal civilian agency missions, challenges, and technology needs
Demonstrated the ability to balance strategic leadership with hands-on sales execution
Experience navigating complex federal procurement processes and compliance requirements
A strong track record of exceeding revenue targets in the federal civilian space
Extensive experience with federal civilian contracting vehicles and procurement mechanisms
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership
A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal Civilian Account Executive - Transport & Land at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Transport (DOT), USDA, HUD and GSA. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations
Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with agency missions and modernization initiatives
Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements
Create and maintain sales playbooks specific to federal civilian use cases and procurement processes
Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements
You may be a good fit if you have:
8+ years of enterprise sales experience in the federal civilian space preferably with DOT, USDA, HUD and GSA, alongside a proven track record of driving adoption of emerging technologies
A deep understanding of federal civilian agency missions, challenges, and technology needs
Demonstrated the ability to balance strategic leadership with hands-on sales execution
Experience navigating complex federal procurement processes and compliance requirements
A strong track record of exceeding revenue targets in the federal civilian space
Extensive experience with federal civilian contracting vehicles and procurement mechanisms
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership
A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
О ПРОЕКТЕ
Фаундер с 20-летним опытом ищет «правую руку» по исследованиям. Создается self-hosted ПО в сфере криптообменников, кошельков и процессинга. Кроме финтеха, в орбите личные проекты фаундера: AI-слой, Wellness и Biohacking. Требуется человек, который превратит интуицию в твердые данные.
Задачи:
— Advanced JTBD: глубокое исследование рынков с использованием всех артефактов методологии.
— Global Research: поиск и интервью с англоговорящими клиентами (Африка, Северная Америка, ЮВА).
— Product Launch: вывод внутренних продуктов (кошелек, процессинг) в публичный доступ.
— AI-Driven: использование Claude Code в ежедневной рутине для анализа и ресерча.
— Cross-Domain: переключение между крипто-сервисами и проектами в сфере Clinical Longevity.
Требования:
— Опыт 2+ года в продуктовой роли с акцентом на исследования.
— Активное применение Job Stories и интервью на реальных продуктах.
— Свободный английский для качественных созвонов.
— Полная самоорганизация, доведение задач до результата без микроменеджмента.
— Понимание основ крипты (кошельки, обменники) и интерес к AI и биохакингу.
Условия:
— Первый месяц full-time (притирка), далее по объему задач.
— Оформление по договору услуг + NDA.
— Таймзона: МСК ±3 часа.
— Возможность оплачиваемого тестового задания после созвона.
Location: New York; San Francisco
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models toward higher throughput and lower latency, we’d love to hear from you!
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality, high-performance code
- You’ve worked with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT)
- You’re familiar with NVIDIA GPU architecture and CUDA
- You have experience with ML performance engineering (tell us a story about boosting GPU performance: debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc.)
NICE-TO-HAVE:
- Familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc.)
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal Civilian Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance.
Responsibilities:
Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment
Navigate the unique requirements of federal civilian procurement, including FAR compliance, security standards, and agency-specific regulations
Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation
Develop and execute strategic account plans that align with agency missions and modernization initiatives
Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration
Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements
Create and maintain sales playbooks specific to federal civilian use cases and procurement processes
Take a leadership role in growing our federal civilian presence while maintaining hands-on engagement with key accounts
Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements
You may be a good fit if you have:
8+ years of enterprise sales experience in the federal civilian space, with a proven track record of driving adoption of emerging technologies
A deep understanding of federal civilian agency missions, challenges, and technology needs
Demonstrated the ability to balance strategic leadership with hands-on sales execution
Experience navigating complex federal procurement processes and compliance requirements
A strong track record of exceeding revenue targets in the federal civilian space
Extensive experience with federal civilian contracting vehicles and procurement mechanisms
Excellent relationship-building skills across all levels, from technical teams to senior agency leadership
A proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators
Strategic thinking combined with attention to detail in execution
A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
Support customers building with the Claude API, Claude Code, and Claude for Enterprise
Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
Build reusable blueprints, demos, and enablement assets that scale across customers
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Baku, Azerbaijan
Workplace: fully
About Global University Systems (GUS)
Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
Position
The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia.
Requirements
Essential Criteria
• You will have experience in international student recruitment for higher education.
• You have an established and relevant agency network and solid relationships with key stakeholders within these agencies.
• A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting.
• You will have developed and trained education agents on how to promote the brand you represent.
• You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities.
• You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities.
• You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships.
• You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry.
• You will be a highly motivated individual who strives for success in all areas.
• You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera.
Desirable Criteria
• Salesforce or database management experience.
• We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents.
Location
The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based).
Other Information
Please note this position is only available on our consultancy agreement.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.
Location: Baku, Azerbaijan
Workplace: fully
About Global University Systems (GUS)
Global University Systems is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
Position
The Business Development Manager for International Student Recruitment will oversee all student recruitment activities, business development activities, account management, and marketing events for B2B channels across the country or region you will manage. You will collaborate with Company Directors to develop B2B channels and implement marketing and sales strategies to promote international student recruitment for GUS. You will be representing one of our universities or colleges located in either Europe, North America, or Asia.
Requirements
Essential Criteria
• You will have experience in international student recruitment for higher education.
• You have an established and relevant agency network and solid relationships with key stakeholders within these agencies.
• A solid understanding of industry trends is essential to inform the group’s strategic planning and forecasting.
• You will have developed and trained education agents on how to promote the brand you represent.
• You will have experience sourcing agents from fairs, business trips, enquiries, referrals, and general searches in line with business development responsibilities.
• You will have experience generating new revenue from existing streams and accounts, as well as identifying new opportunities.
• You will have a proven track record of assisting in identifying, supporting, and developing potential business partners and growing existing client relationships.
• You will have experience performing client research, including (but not limited to) meeting and engaging with key players in the industry.
• You will be a highly motivated individual who strives for success in all areas.
• You are confident in delivering workshops and presentations, hosting conferences, and being in front of the camera.
Desirable Criteria
• Salesforce or database management experience.
• We will consider applicants who have represented an institution directly (located anywhere within your region) or who have significant agency experience where they have managed a sub-network of agents.
Location
The position is home-based with travel. Ideally, you will be located within your country and able to travel with ease, as your main marketing activities will be held in this area (where agents are based).
Other Information
Please note this position is only available on our consultancy agreement.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and comply with the Code of Conduct, as well as equality and diversity, health and safety, and safeguarding policies.
Location: Washington, District of Columbia, United States
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
About the Position
The Political Risk Insurance Projects Director supports a U.S. Government Agency in managing complex international risk mitigation initiatives. This role operates within a specialized function responsible for evaluating, structuring, and underwriting political risk solutions for investments in emerging and developing markets.
The Director serves as a senior specialist leading the assessment and execution of highly complex insurance transactions. The position requires deep expertise in political risk analysis, underwriting, and international investment environments, as well as the ability to engage with senior stakeholders across public and private sectors.
This position is based in Washington, D.C.
Responsibilities
Evaluates projects proposed by investors and designs the insurance coverage, personally handling unusually complex and significant issues as well as representing the Agency at the highest levels in negotiations with investors and foreign government representatives. Projects include the most complex issues and conditions and require the conduct of sensitive negotiations and original underwriting techniques performed with authoritative technical independence.
Reviews formal applications for political risk insurance. Analyzes the nature of investment, equity and loan instruments, project agreements, and related documents. Determines the level of concentration risk in the industry or country. Reviews laws and practices regarding investment and foreign exchange in country of proposed investment, as well as the investment conditions and political climate in order to assess political risk and anticipate and deal with problems that might arise. Reviews and works with other relevant departments to determine appropriateness of foreign government approval of the project and the investment's contribution to economic development in the project host country; the effect on U.S. balance of payments and employment; and the projects' environmental implications. Reviews final insurance applications and, when needed, requests supporting information and documentation.
Advises investors on whether the proposed project is insurable. Determines whether there are problems or restrictions that would make the project, investment, and/or investor ineligible and suggests, if possible, reshaping to achieve eligibility. Performs risk evaluation and proposes pricing.
Develops concepts and innovative approaches to provide and support political risk coverage.
Assists in maintaining and expanding the business pipeline for risk mitigation services, working with U.S. and foreign private sector and government officials, as well as with representatives of multilateral and bilateral development finance institutions.
Develops and sustains relationships with corporate, multilateral, and bilateral representatives to ensure early identification of future projects with potential for enhanced participation.
Negotiates and confers with senior officials and/or counsel of the investors regarding character of investment, the appropriate insurance coverage(s), and provisions of the contract. Provides suggested language for adaptations, changes in, or addenda to the standard contract and determines need for and obtains advice or clearance from legal counsel and other relevant parties.
Prepares or oversees the preparation of the insurance contract in final form, ensuring that it correctly reflects the investor's application and supplementary data, and after appropriate clearance, transmits it to the investor for execution and payment of fees.
Prepares staff memoranda and papers for presentation to approval committees, management, and senior leadership; coordinates presentations of projects for approval, as needed.
Work may include overseas travel to conduct due diligence about the current political situation in a country where issues are affecting the client's operations, conducting special negotiations, and working with local U.S. Embassy staff to deal with specific country issues.
Performs other related duties as assigned
Qualifications
Minimum of a master’s degree in international business/studies, international relations, finance, business, economics, political science, or a related field.
Minimum of 8 years of experience working at a political risk insurance firm, commercial bank, consulting firm, investment bank, international project development company, international financial institution, or multilateral organization within the last 10 years.
Experience independently completing the full range of origination of international political risk insurance contracts.
Experience conducting political risk analysis of investments in developing countries.
Experience identifying issues in at least two of the following three areas: political, economic or credit risks (e.g. due diligence, risk exposure, detailed credit analysis, market analysis, private investments).
Experience analyzing the underlying causes of changes in investment conditions and political climate in a developing country.
Experience guiding potential clients through the eligibility requirements, application process, investment policies requirement and approval process at a political risk insurance company.
Experience identifying pertinent host country political risks related to projects and applying these analyses to determine what risks should be covered and excluded in a political risk insurance contract.
Experience developing networks and customer contacts to identify new business opportunities.
Excellent English speaking, reading, and writing skills.
Demonstrated ability to produce written materials that are clear and succinct.
Must be a U.S. Citizen or Foreign National with the ability to obtain and maintain a Public Trust or higher-level clearance.
Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research
, our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs.
Dexis pay range for this role:
$150,000
—
$175,000 USD
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world.
Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.
On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.
Responsibilities:
1. Ship with confidence
Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.
2. Close the loop with users
Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
Make sure the field, Support, and Research hear back about what happened with what they sent.
3. Run the team's operating system
Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.
4. Build with Claude
Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.
You may be a good fit if you have:
Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
Have worked embedded with product leadership and can move a team without formal authority.
Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
Have direct experience managing evals, refining system prompts, and adapting harnesses to new models.
Have direct experience working with Cloud providers in partnership or GTM capacity
Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.
Bonus:
Program managed model launches or model quality at an application-layer AI product.
Run early access, beta, or design partner programs.
Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.
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:
$260,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly.
The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.
In this
role,
you will:
Own the weekly company metrics update and forum:
shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter:
help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends:
explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions:
take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan:
explain where actuals differ from forecast and why it matters
Partner across teams:
work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar:
land narratives in executive forums and up-level the team’s finance analytics practice by example
You might
be
a good fit if you:
Have run an executive metrics forum:
you've owned a recurring business review for senior leadership, including its structure, content and discussion.
Land narratives with executives:
your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor
Put shape around ambiguity:
you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
Stay hands-on at senior scope:
you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data
Are inherently curious:
you go one level deeper than asked and are energized by how fast models, products, and the market are moving
Thrive amid shifting priorities:
you juggle multiple fast-moving work streams and stay effective when the plan changes weekly
Work fluently with modern tooling:
you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse
Strong
candidates
may also have:
Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
Ownership of a company or executive business review
Experience designing evals or benchmarks for AI models or products
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer
Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability
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:
$270,000
—
$345,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale.
As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up.
This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one.
Responsibilities
Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases
Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic
Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk
Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike
Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins
Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement
Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next
Contribute to the playbook, proof points, and motion that this team is building from the ground up
You may be a good fit if you have
3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota
Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it
A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts
Experience running enterprise sales cycles involving technical evaluations, security review, and procurement
Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations
Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise
Strong commercial instincts and the ability to qualify quickly and advance rigorously
Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial
What will make you stand out
Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years
Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it
Background in developer tools, API, or AI/ML sales into technical buyers
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:
$290,000
—
$380,000 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: Warsaw
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Senior Devops Full Stack Developer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Work closely with other teams to design tools and improve the development process
Maintain and improve our internal libraries used across all our web applications
Design and implement pipelines to automate development processes
Extend, maintain and improve our existing tools
Provide support for other team members during critical stages of development
Requirements
Minimum 4 years programming experience
Good knowledge of full stack web programming (TypeScript, React, Node.js, MySQL)
Good knowledge of relational databases (RDBMs)
Good knowledge of scripting in ruby or python
Readiness to experiment with new technologies and software to meet development requirements and limitations
Good communication skills in spoken and written English
You are a team player and willing to take responsibility
This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity
Nice to Haves
Knowledge of Perforce
Experience in Game or Application development in C++
Experience with developing and hosting APIs in the Cloud
Knowledge of Kubernetes and Docker
Experience in a similar position in another game company
What we Offer
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level.
As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly.
This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level.
Responsibilities
Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders
Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact
Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion
You may be a good fit if you have
8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience
Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases
What will make you stand out
Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
УдалённоParis, Remote
New York City, NY; Remote-Friendly (Travel-Required) | San Francisco, CA | Washington, DC; San Francisco, CA | New York City, NY
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