Location: Chicago, IL
Senior Visual Communication Designer
In a nutshell:
Visual Communication Designers at IDEO make the biggest impact through visual storytelling. They work collaboratively with multidisciplinary teams to bring ideas, research, strategy, and stories to life through strong craft execution.
The ideal candidate has a strong foundation in graphic design and experience applying practical and conceptual design principles across brand expression, interaction and digital product experiences, motion, and storytelling. We’re looking for designers who bring a distinct visual voice, curiosity, and a commitment to craft excellence.
In this role, you will…
You’ll work as a key contributor on project teams, supporting all phases of the design process—from early exploration and prototyping through to polished, client-facing deliverables. Your work may span brand, storytelling, motion, interaction and digital product, information design, packaging, and environmental expression.
Once here you will:
Collaborate with multidisciplinary teams to translate research and strategy into compelling visual narratives
Contribute to the development and expression of brand identities across mediums
Create looks-like/works-like prototypes at varying levels of fidelity to explore and communicate design directions
Design thoughtful experiences across digital, physical, and hybrid touchpoints with the end user in mind
Produce high-quality visual deliverables that communicate user stories and strategic intent working across a variety of industries (health, financial services, consumer products, etc.)
Advocate for exceptional visual craft through making, iteration, and collaboration
Some previous projects to check out:
Cornell Lab of Ornithology Brand
Los Angeles County Department of Mental Health
The Lawrence Hall of Science, University of California Berkeley
Cities United Rebrand
Design Craft:
Relevant experience and/or educational background required in interactive/graphic design across a variety of applications and media
Strong portfolio demonstrating elevated design craft, typography, layout, and visual storytelling
Extensive experience with tools such as Adobe Creative Suite and Figma
Familiarity with motion and interaction tools (After Effects, prototyping platforms, etc.)
Comfort collaborating in client-facing presentation environments such as Google Slides and FigJam/Figma Slides
Curiosity and openness to experimenting with emerging mediums including 3D, motion, and AI-assisted design
Diverse Experience:
Experience establishing and expressing brand identity, from understanding strategy through creative interpretation and execution, including: visual identities, brand systems, and guidelines for implementation
Experience in concept ideation, design research, and prototyping, with a curiosity for learning and experimenting across visual, digital, and experiential mediums
Ability to work across a wide range of design challenges, recognizing patterns, and translating insights into thoughtful visual solutions
Comfort moving between exploratory and polished work, helping teams bring ideas to life through strong craft and storytelling
Key Mindsets:
Collaborative and adaptable: able to navigate team dynamics,timelines, and client contexts while delivering exceptional design.
Growth oriented and resilient: open to feedback, eager to iterate, and comfortable learning through experimentation and critique
Curious and proactive: able to generate ideas, take initiative, and contribute wherever needed, from early exploration to final delivery.
What does IDEO offer you?
IDEO is a place where you can solve diverse, complex challenges for our clients and their organizations, alongside thoughtful, intelligent individuals who lead with curiosity, empathy, and humility. We intentionally craft moments that allow our community to pause, create, and connect. We encourage our community to bring their whole selves to work, respect the need for work-life balance, and allow for autonomy in the design process and your career.
Payscale & Benefits
IDEO is committed to paying its employees, contractors & vendors equitably, regardless of gender identity or race/ethnicity/cultural identity.
The salary range for this role is $80,000–$100,000 USD. Final offers may vary based on candidate experience, location, and other factors. As a full-time position, this role is eligible for employee benefits.
Location: Dammam, Saudi Arabia
ob Summary:
Lead all contract management activities for large-scale Oil & Gas projects. Ensure contractual compliance, mitigate commercial risks, and protect company interests. Work closely with project, procurement, legal, and commercial teams throughout the project lifecycle.
Key Responsibilities:
Draft, review, and negotiate contracts with clients, vendors, and subcontractors.
Manage contract administration, including change orders, variations, claims, and amendments.
Ensure compliance with company policies, project requirements, and relevant laws/regulations.
Identify, assess, and mitigate contractual and commercial risks.
Advise project teams on contract interpretation, obligations, and dispute resolution.
Maintain accurate contract records and documentation.
Collaborate with legal, procurement, and project management teams to ensure alignment.
Qualifications & Experience:
Bachelor’s degree in Engineering, Law, Business, or related field (Master’s preferred).
15+ years of experience in contracts management for Oil & Gas or EPC projects.
Strong knowledge of standard contract forms (FIDIC, NEC, EPC, PSA) and commercial law.
Proven expertise in claims management, change orders, and dispute resolution.
Excellent negotiation, analytical, and communication skills.
Proficient in MS Office and contract management systems.
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 is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks.
We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments.
Responsibilities:
Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers.
Ability to write safety evals and communicate externally about safety.
Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state.
Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders.
Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries.
Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning.
Minimum Qualifications
You may be a good fit if you have:
Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems.
Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions.
Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space.
Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs
Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute.
Evidence of exercising judgment and decision making in ambiguous situations.
Planning, building, launching and measuring new products / systems in a zero to one environment.
Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
Preferred Qualifications
5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$305,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking a Digital Twin Subject Matter Expert (SME) to join our innovative team. In this role, you will leverage your expert knowledge of digital twin technology to enhance our clients' processes and product offerings. As a Digital Twin SME, you will lead the development and implementation of digital twin strategies that optimize operations, improve decision-making, and drive business value.
Your expertise will enable us to provide cutting-edge solutions that incorporate the latest advancements in digital twin technology, IoT, and data analytics. You will collaborate closely with stakeholders to identify opportunities for leveraging digital twin applications across various industries.
Responsibilities:
Serve as a subject matter expert on digital twin technology and its applications.
Lead the design and implementation of digital twin solutions that align with client objectives and operational needs.
Conduct assessments to identify opportunities for digital twin implementations across industry sectors.
Work closely with product development teams to integrate digital twin concepts into existing products and services.
Analyze data from digital twins to provide insights that drive operational and strategic improvements.
Stay current on trends and advancements in digital twin technology, IoT, and data analytics.
Deliver training and workshops to clients and internal teams on digital twin methodologies and best practices.
Collaborate with cross-functional teams to ensure successful project delivery and client satisfaction.
Requirements
Bachelor's degree in Engineering, Computer Science, or a related field; advanced degree preferred.
Demonstrated experience as a subject matter expert in digital twin technology.
Proven track record of designing and implementing digital twin solutions in an industrial or enterprise context.
Strong understanding of IoT, data analytics, and simulation technologies.
Experience with relevant software tools and platforms used for digital twin development.
Excellent analytical skills and the ability to interpret complex data sets.
Strong problem-solving abilities and strategic thinking.
Effective communication skills, both written and verbal, with the ability to present ideas clearly to technical and non-technical audiences.
Ability to work collaboratively in cross-functional teams.
Willingness to travel as needed for client engagements and projects.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.
Responsibilities
Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team
Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap
Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years
Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion
Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them
Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale
Partner with research leads to translate ambiguous research questions into durable engineering solutions
Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health
You may be a good fit if you:
Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization
Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams
Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates
Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability
Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction
Are a power user of agentic coding tools with deep intuition about model capabilities and limitations
Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly
Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of
Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both
Strong candidates may also have experience with:
Designing or scaling eval/evaluation frameworks for ML systems
Reinforcement learning infrastructure or training systems
Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm
Research computing, scientific infrastructure, or developer platforms at scale
A strong quantitative foundation (math, physics, or related fields)
Expertise in Python and TypeScript
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Key responsibilities
Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
Develop resilient, flexible systems that adapt in real time to real-world events
Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
Build and operate production-grade deployment pipelines for releasing new models to users
Provide high-performance inference infrastructure that enables researchers to develop next-generation models
Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
Proficiency in Python or Rust
Software engineering experience building and operating distributed systems in production
Working knowledge of containerized infrastructure (e.g., Kubernetes) and at least one major cloud platform (AWS, GCP, or Azure)
Results-oriented, with a bias towards flexibility and impact
Willingness to pick up slack, even if it goes outside your job description
Desire to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Preferred qualifications
Significant experience with high-performance, large-scale distributed systems
Experience implementing and deploying machine learning systems at scale
Experience building load balancing, request routing, or traffic management systems
Familiarity with LLM inference optimization, batching, and caching strategies
Deep experience operating Kubernetes and cloud infrastructure at scale
Experience with AI accelerator platforms (GPUs, TPUs, or emerging hardware)
Representative projects
Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users reliably
Contributing to new inference features
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
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:
£325,000
—
£390,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Jinan, China; Beijing, China
Workplace: remote
About Welo Life Sciences
Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications. welolifesciences.com
This role involves managing translation and copy-editing tasks, ensuring high-quality linguistic deliverables for assigned projects or accounts. Responsibilities include coordinating freelancers, maintaining language resources, resolving terminology queries, and collaborating with clients and internal teams to enhance workflow efficiency.
This is a key position that requires a strong background in Life Sciences translation, with a focus on clinical research documents (clinical trial protocols, patient information sheets/informed consent forms, investigational medicinal product dossiers (IMPD), investigational drug labels, patient recruitment materials, etc.).
This role works closely with Quality, Program Squads, Talent, Simplified Chinese suppliers, and other stakeholders to provide precise language support for life sciences and more specifically clinical research-related matters.
This professional ensures that the expected level of translation quality is maintained, and the product delivered to the client should always meet its intended purpose.
Job Reference: #LI-JC1
The following is a non-exhaustive list of responsibilities and areas of ownership for this role:
Performing lead linguist function on assigned accounts; provide SME support for designated clients
Performing copy-edit tasks on assigned projects or accounts
Performing on-demand translation tasks
Taking ownership of deliveries that were translated by the linguists for one or more accounts into Simplified Chinese
Preparing, managing and maintaining the language materials (including glossaries, Style Guides, work instruction) up to the quality standards and up to date as required by the account or project
Managing project-related queries
Ensuring good interaction among team members and resolving questions on terminology and language matters
Coordinating a team of freelancers on assigned projects or accounts
Testing and qualifying new freelancers and vendors as required; monitor resources’ performance
Developing and training of new and existing freelancers according to the accounts’ and Welocalize’s needs
Recommend Simplified Chinese Life Sciences resources to Squads, based on data of quality, OTD, language strategy, capacity needs, content specialty, or client specific requirements
Conduct monthly capacity planning for Life Sciences, make sure adequate resources in place to support the production
Interacting with clients on linguistic matters as required
Work with Quality and Squads to plan and perform LQAs, and drive arbitration process
Support Quality team in reviewing client escalations related to Simplified Chinese and in conducting RCAs for life sciences translation
Responsible for client inquiries; attend client calls as needed
Participating in the development of new and improved working processes
Meet or exceed the productivity KPI
Achieving the goals set by the Squad Lead
Education Level
University degree in Translation/Applied Languages or equivalent combination of education and experience, in a Life Sciences-related field: Medicine, Pharmacy, Nursery, Biology, Chemistry.
A Master’s degree is a plus
4+ years of relevant experience in translation/localization, with speciality Life Sciences
Experience
8+ years of relevant experience in translation/localization/editing or content writing
5+ years of review experience
Fluent in English, both written and spoken
Native fluency in Simplified Chinese
Thorough understanding of the localization process
Knowledge of Simplified Chinese life sciences and clinical research regulations
Excellent user experience of standard CAT tools, e.g. XTM, SDL Studio, and issue tracking and query management tools, e.g. JIRA, Verifika
Excellent user experience of standard software, such as Windows and Office applications
Good understanding of Machine Translation Post-Editing process and willingness to work with AI tools
Ability to learn new localization tools and applications quickly
Excellent interpersonal, written and verbal communication skills
Excellent knowledge of terminology used in two or more subject matters
Subject-matter expert within company for discipline or process
Ability to work with tight deadlines
Ability to give clear, concise and constructive feedback
Ability to coordinate internal and external translators
Ability to effectively present information and respond to questions from groups of managers, clients, customers, linguists
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Ability and willingness to train/teach others and pass on knowledge
Ability, willingness and experience in communicating positively with customers at various levels
Ability to work in a virtual team contributing to the team's success, or work independently as needed
Problem-solving mindset that can proactively assess and mitigate risks
Ability to prioritize ongoing projects based on business needs and urgencies that arise
Excellent oral and written communication skills
Location: Tokyo, Japan
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enterprise Account Executive, System Integrators based in Tokyo, you'll be the critical link between Anthropic and Japan's leading system integrator ecosystem. You'll build and deepen strategic partnerships with major SIers — enabling them to confidently sell, implement, and support Anthropic's AI solutions within their own client portfolios. This is a high-impact, relationship-driven role that directly shapes how frontier AI reaches Japan's largest enterprises.
Key responsibilities
Own and grow revenue generated through SIer channels by developing joint go-to-market strategies, co-selling motions, and enablement programs with Japan's top system integrators
Build and execute partner territory plans, identifying and prioritizing relationships across tier-1 and regional SIers — including firms across IT consulting, systems integration, and managed services practices
Lead strategic engagement with senior SIer leadership — including practice heads, solution architects, pre-sales directors, and partner managers — building the technical confidence and commercial alignment needed to close enterprise deals
Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships, Marketing) to deliver enablement resources, joint solution frameworks, and go-to-market collateral that equips SIer partners to position and deploy Anthropic's AI solutions effectively
Act as the primary escalation and support point for SIer partners navigating complex enterprise opportunities, ensuring deal momentum and customer satisfaction across the full sales cycle
Preferred qualifications
8+ years of enterprise sales or partner management experience in Japan, with significant direct experience working with or selling through system integrators in the technology sector
A deep understanding of how Japan's SIer ecosystem operates — including how SIers source, evaluate, and commit to vendor partnerships, and how they structure solutions for their enterprise clients
A track record of building high-trust, mutually beneficial relationships with SIer organizations, driving consistent revenue through channel partnerships rather than direct sales alone
Demonstrated ability to navigate complex, multi-layered SIer stakeholder environments — balancing the needs of the SIer's internal leadership, their end customers, and Anthropic's own business objectives
Proven experience developing and executing partner enablement programs — including technical training, sales toolkits, and co-marketing initiatives — that meaningfully increase a partner's ability to sell and deliver
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments
A strategic, analytical approach to evaluating and prioritizing SIer partnerships combined with patient, relationship-focused execution
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit
Excellent communication skills in both Japanese and English
What We Offer
Competitive base salary and commission structure commensurate with experience
Equity participation
Comprehensive benefits package
Hybrid work model with flexibility
Access to cutting-edge AI technology and world-class research team
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: London, United Kingdom; Seoul, South Korea; Tokyo, Japan; Melbourne, Australia; Paris, France
Eram Talent, a specialist in talent acquisition within the Oil & Gas industry, is seeking a highly skilled Sr. Planning / Scheduling Engineer with Project Management Consultancy (PMC) experience to join their team in Saudi Arabia. In this role, you will be responsible for developing, managing, and optimizing project schedules for various Oil & Gas projects, ensuring that all timelines align with strategic goals and stakeholder expectations.
If selected, the work location would be onsite at
Saudi Arabia.
Responsibilities
Establish, monitor, and update comprehensive project schedules using advanced scheduling tools such as Primavera P6 or Microsoft Project.
Collaborate with project managers, engineers, and clients to gather essential data for schedule development.
Analyze project performance metrics to identify schedule discrepancies and propose effective corrective measures.
Generate detailed scheduling reports and deliver presentations to convey project timelines and status to stakeholders.
Lead schedule-related discussions in project meetings to facilitate alignment among team members.
Implement best practices for project planning and scheduling to enhance efficiency and performance.
Requirements
Bachelor's degree in Engineering, Construction Management, or a related discipline.
Minimum of 15 years of experience in planning and scheduling within the Oil & Gas sector, specifically with PMC experience.
Proficiency in scheduling software applications such as Primavera P6 or Microsoft Project.
Strong knowledge of project management methodologies and principles.
Exceptional analytical skills and the ability to interpret complex scheduling data.
Excellent communication and interpersonal skills, with a proven ability to influence stakeholders.
Demonstrated capacity to work independently and collaboratively in a fast-paced environment.
seniorLondon, United Kingdom; Seoul, South Korea; Tokyo, Japan; Melbourne, Australia; Paris, France
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 believe skill with AI is fundamental to human agency. Education Labs builds the paradigms that help people become genuinely more capable—not just more engaged.
This is a new kind of role: part researcher, part product builder, part interaction designer. You'll be the second technical builder on a small team studying how AI transforms human capability—and shipping features based on what we discover. You'll have significant creative license to define what "good" looks like, exploring new interaction patterns rather than optimizing existing ones.
We're skeptical of tutorials, onboarding flows, and engagement metrics. We care about experiences that make users progressively more capable, curious, and empowered over time. This means integrating skill development into product design, using Claude itself as a capability-building partner, and measuring success by how users actually grow.
You'll operate as a one-person technical shop: prototyping new ideas, establishing technical direction, and shipping production-quality features to millions of users. You'll need strong product instincts and clean interface design sensibilities, balanced with comfort in ambiguity and frontier thinking.
Responsibilities:
Ship features that help users develop real skill with AI—measuring success by capability growth, not time-on-site
Architect end-to-end prototypes (front-end and back-end) that test new interaction paradigms, with particular attention to the front-of-the-frontend: motion, polish, and interaction feel
Define technical direction for the team—establish patterns others can follow
Build relationships across Product, Design, and Research to influence how skill development principles shape Anthropic's broader product strategy
Shape team strategy and roadmap—identify the highest-leverage opportunities and build conviction across stakeholders
Translate research insights about skill development and human-AI collaboration into shipped product through close collaboration with researchers
Document and share your work through clear writing, prototypes, and presentations that influence thinking across the organization
You may be a good fit if you have:
Strong full-stack engineering with design sensibility
6+ years building and shipping web products, with deep expertise across the stack
Strong front-end craft: TypeScript/JavaScript, React, CSS—with an eye for interaction design, motion, and visual detail
Solid back-end and data pipeline experience: Python, API design, analytics infrastructure
A portfolio showcasing innovative interaction designs and high-quality implementations
Track record of independently driving features from prototype to production
Deep conviction about human capability
Strong perspective on how technology should enhance human capabilities rather than diminish them
Experience or genuine passion for skill development, HCI, developer tools, or products that help people become more capable
Skepticism of purely engagement-driven metrics; interest in measuring capability outcomes
Research mindset with product execution
Comfort with ambiguity and exploring undefined problem spaces
Ability to rapidly prototype, test with users, and iterate toward production
Strong instincts for product design and user experience, even without formal design training
Strategic leadership and coalition building
Experience setting vision, shaping team strategy, and building conviction across cross-functional stakeholders
Ability to build productive relationships with Product, Design, Research, and Engineering teams—especially when your team isn't the owner
Strong sense of prioritization—knowing what to build now, what to defer, and what to cut
Track record of influencing roadmaps and decisions beyond your immediate team
Strong candidates may also have:
Experience in developer tools, creative tools, learning platforms, or other products where user skill development and mastery matter more than time-on-site
Background in learning sciences, cognitive science, HCI, skill acquisition research, or educational psychology (formal or self-directed)
Experience with experimentation frameworks, A/B testing, or analytics that measure capability development in production
Previous experience in research labs, frontier tech companies, or startups with high autonomy and ambiguity
Published writing, talks, or open-source work on skill development, human-AI interaction, or product philosophy
Experience building AI-native product experiences or working with LLMs in production contexts
Strong candidates may also have
Background in learning sciences, cognitive science, HCI, or educational psychology
Experience in developer tools, creative tools, or learning platforms where mastery matters more than engagement
Published writing, talks, or open-source work on skill development or human-AI interaction
Experience building AI-native product experiences or working with LLMs in production
What this role is not
This is a hands-on technical role building product features, embedded within a research team. You'll provide technical guidance and help set direction, but this role doesn't involve people management off the bat. If you're looking to immediately transition into engineering management or lead a large team, this likely isn't the right fit.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dammam, Saudi Arabia; Khafji, Saudi Arabia
Eram Talent is looking for a detail-oriented and proactive Health & Safety Analyst to join our dynamic team. As a leading talent acquisition consultancy, Eram Talent specializes in providing top-notch recruitment solutions across various industries.
In this role, you will be responsible for analyzing health and safety data, conducting risk assessments, and providing insights and recommendations to enhance the overall safety performance of the organization.
Responsibilities
Collects, analyzes, and interprets data to improve workplace safety, environmental performance, and regulatory compliance.
Conducting risk assessments, investigating incidents, preparing compliance reports, developing and delivering training, and collaborating with teams to implement safety initiatives and reduce hazards.
This role requires a strong understanding of HSE regulations and data analysis to provide insights that support management decisions and promote a safety-first culture.
EHS analyst provides support in planning, implementation and monitoring of environmental, health, and safety programs and policies to ensure compliance
Track Environmental, Health and Safety metrics including Ǫuarterly KPIs and PPE Acknowledgement submissions
Conduct formal and systematic reviews of campus operations and activities to ensure compliance with regulations.
Responsible for the accuracy and auditing of all Safety related statistics
Track safety, health and Environmental audit documents
Work with affected departments to coordinate, implement and maintain employee /
trainee injury prevention strategies and program(s)
Provide hazard analysis, program customization, training and EHS support to activities within the organization, creative services and scripted television production activities
Support the maintenance of EHS database of accidents and incidents
Supports site in achieving EHS targets C objectives
Track all the HSE related contracts’ submissions
Organize and track HSE Campaigns
HSE Records and Files control and management
Requirements
Relevant degrees such as bachelor’s degree in engineering, Industrial, Safety, Health, Environmental Science
Relevant Certificates in HSE Fields such as OSHA / NEBOSH.
3-5 years in similar field
Knowledge in local safety regulations, EHS policies, standards and compliance
Experience in Microsoft Office
Fluent in English Language (Speaking, Writing, Reading)
Experience in Environmental Health, Fire Systems would be beneficial.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of strategic accounts in our Enterprise Tech segment. As our dedicated Outcomes AI Manager for Strategic Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion
Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews
Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment.
Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting
Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies.
You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet.
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling.
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tokyo, Japan
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 large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Key responsibilities
Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers across Japan 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
Minimum qualifications
Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native-level Japanese fluency and business-level English required
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Preferred qualifications
5+ years of relevant experience
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Georgetown, Guyana
EnerMech is seeking an experienced Operations Engineer to support the planning and execution of offshore and onshore PPU (Process, Pipeline, and Umbilical) service operations in Guyana. This role works closely with Operations and Project leadership to ensure safe, efficient, and high-quality project delivery across multiple service lines. You will play a key role from engineering and preparation through execution and close-out, acting as a technical and operational point of contact for both internal teams and clients.
Job Description:
Support the engineering and execution of PPU service operations, including:
Filling, flushing, pigging, leak testing, hydrotesting, dewatering, and conditioning
Umbilical hydraulic, electrical, and fiber optic testing
Umbilical commissioning, fluid displacement, bolting, torquing, and tensioning
Prepare operational procedures, risk assessments, and project execution plans.
Coordinate and support field operations to ensure work is completed safely, efficiently, and in line with approved procedures.
Ensure all equipment is fit for purpose and meets project specifications.
Interface directly with client representatives and internal project teams.
Promote and uphold EnerMech’s safety, quality, and environmental standards.
Support worksite readiness including permits, loadouts, packing lists, and equipment preparation.
Maintain accurate operational documentation and support project close-out reporting.
Assist with Management of Change processes when scope or execution requirements evolve.
Provide support to workshop and base operations as required.
Requirements
Engineering degree
or
mechanical trade/vocational qualification.
Valid driver’s license and passport.
Offshore certifications (e.g., BOSIET, medical) or ability to obtain.3+ years of field experience in a supervisory or engineering role within PPU services or a related discipline.
Hands-on operational experience in one or more PPU service lines.
Strong understanding of offshore and onshore operations.
Ability to read and interpret P&IDs.
Proficiency with Microsoft Office (Word, Excel, Outlook).
Comfortable working in a fast-paced, operational environment.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive (Healthcare) at Anthropic, you'll join the foundational team at the forefront of introducing our frontier AI platform to healthcare organizations. You'll drive adoption of safe, frontier AI by securing strategic deals with health systems, hospitals, and payor organizations. You'll leverage your consultative sales expertise in healthcare to grow revenue while becoming a trusted partner to healthcare stakeholders — helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with Product and Marketing, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with healthcare decision-makers.
The ideal candidate has a passion for developing new market segments within healthcare delivery and insurance, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you'll help healthcare enterprises obtain new capabilities while advancing the ethical development of AI.
Key responsibilities
Own a book of strategic, high-value accounts across health systems, hospitals, and payor organizations — driving the full sales cycle from outbound to close and navigating complex organizations to reach key clinical, administrative, and payor decision-makers
Design and execute sales strategies tailored to healthcare procurement cycles, value-based care initiatives, and budgeting processes, translating market landscape and trend analysis into targeted account plans and campaigns that meet and exceed revenue targets
Identify and prioritize high-potential opportunities across clinical departments, care management teams, claims processing units, and administrative offices, partnering cross-functionally to differentiate Anthropic's offering for both healthcare delivery and payor use cases
Run a disciplined pipeline and forecasting cadence, managing an evolving sales process to deliver predictable, coachable performance against quota
Partner closely with Product and Applied AI to translate feedback from clinicians, care coordinators, and administrative leaders into product and roadmap input, strengthening Anthropic's value proposition for healthcare organizations
Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across health systems and payors
Minimum qualifications
5+ years of enterprise sales experience in healthcare, with demonstrated success covering health systems, hospitals, and/or payor organizations
A track record of managing complex, multi-stakeholder sales cycles within healthcare organizations and securing strategic deals by understanding both technical requirements and clinical/administrative use cases
Extensive experience negotiating complex agreements within healthcare procurement frameworks, including value-based care contracts and payor policies
Proven experience exceeding revenue targets in healthcare by effectively managing an evolving pipeline and sales process
Excellent communication skills, with the ability to present confidently across healthcare audiences — from physicians and nurses to C-suite executives and payor leadership
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Deep understanding of healthcare buying cycles, decision-making processes, and key pain points across both provider and payor organizations
A strategic, analytical approach to assessing the healthcare market, paired with creative, tactical execution to capture opportunities
Experience developing and refining healthcare AI use cases in collaboration with customers and channel partners, with particular focus on care delivery, population health, and administrative efficiency
Passion for and/or experience with advanced AI systems and their clinical applications, with strong conviction around safe, ethical development for AI in clinical use
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Seoul, South Korea
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Strategic Finance, GTM member to join our Finance team at Anthropic to partner with sales counterparts. In this role, you will be a key partner to our go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building models, and delivering insights to drive informed business decisions across revenue goals, sales capacity planning, deal desk and marketing spend returns. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align go-to-market strategies with broader financial considerations.
Key responsibilities
Provide expert guidance, recommendations, and influence to go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as revenue goals, sales capacity planning and key strategic initiatives
Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
Collaborate with other members of strategic finance, FP&A, and accounting counterparts, helping to align go-to-market with broader financial strategies and considerations
Establish and implement reporting dashboards and scorecards to track key operational and financial metrics
Minimum qualifications
Experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex financial operating models
Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Excitement about working in a fast paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
10+ years of experience across strategic finance, go-to-market finance, private equity, growth equity, venture capital, consulting, and investment banking
GTM Finance Business Partnership experience
A combination of 10+ years in strategic finance, paired with several years prior across private equity, growth equity, venture capital, consulting, and investment banking
Experience with consumption based and/or complex business models
High knowledge of and interest in effective go-to-market strategies including deal-desk management
Background in AI, ML, or related technologies
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Responsibilities
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including quarterly reports and industry-specific deep dives
Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally
Develop new methodological approaches for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Develop causal-inference tooling — e.g. surrogate indexes, heterogeneous-effect pipelines — to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions
Build and maintain relationships with academic institutions, policy think tanks, and other research partners
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Translate research insights into actionable recommendations for both product decisions and policy discussions
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
You May Be a Good Fit If You Have
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Some Examples of Our Recent Work
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
Application Question
Please provide a writing sample, preferably a job-market paper or other article that showcases your research and technical expertise.
Deadline to apply: None. Applications are reviewed on a rolling basis
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
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 Mid-Market Account Executive on Anthropic's High Tech team, you'll drive the adoption of safe, frontier AI by securing strategic deals with tech-forward mid-market companies, unlocking new value streams throughout their business. The role sits at the intersection of consultative selling and technical fluency, helping customers empower their workforce, accelerate processes, and build products with Claude. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the ecosystem.
You will be contributing to the GTM strategy for our High Tech team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated.
Responsibilities:
Run an end-to-end sales cycle, from first outbound to launch
Win new business and expand existing accounts
Build and execute sales strategies that drive quota attainment. Identify market opportunities, generate pipeline, and drive revenue
Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions
Leverage your technical aptitude to earn credibility with engineers, product leaders, and executives
Shape product roadmaps by gathering customer feedback and translating market needs into actionable insights for Product and Engineering teams
Contribute to the Mid-Market GTM strategy by sharing learnings, refining playbooks, and identifying process improvements that make the team more effective
You may be a good fit if you have:
4+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups
Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders
Excellent communication skills with the ability to build trust and credibility with C-level executives
Experience automating workflows or building automations to handle the repeatable components of a sales process
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
Location:
This role does require being in office 4x a week in one of our hubs
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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
San Francisco, CA
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