Location: Remote or Mississauga
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Position Summary:
The Market Insights Manager is an individual contributor responsible for executing the market research and competitive intelligence that informs PointClickCare’s product, marketing, and go-to-market decisions. This role maintains continuous competitive monitoring, builds competitor profiles and market trend analyses, and produces the reports, dashboards, and presentation materials that carry findings to cross-functional partners and contribute to leadership readouts.
This role also independently designs and runs standard qualitative studies — in-depth interviews — and supports the design and analysis of quantitative studies such as surveys, MaxDiff, and pricing research.
Success in this role requires analytical rigor, methodological curiosity, clear written and verbal communication, and the organization to manage several concurrent projects.
Key Responsibilities:
Foster a Customer-Centric Culture:
Advocate for a customer-focused approach throughout the organization by promoting the voice of the customer and enhancing primary research capabilities.
Execute Research Projects:
Assist in designing, implementing, and managing market research studies utilizing qualitative and quantitative methods, such as surveys and focus groups, to gather insights on customer needs, market trends, and competitive activity.
Methodology Development:
Contribute to the development and refinement of research methodologies and best practices to enhance the quality and effectiveness of research efforts.
Data Collection and Analysis:
Gather, organize, and analyze data from various sources, including qualitative interviews, discussions, surveys, and industry publications, using both basic and advanced tools like Excel, SPSS, or AI-based solutions.
Reporting and Insights:
Create reports, dashboards, and presentations that clearly communicate findings and actionable insights to internal teams and stakeholders, aiding in marketing and product strategy decisions.
Presentation Skills:
Deliver findings and recommendations to senior leadership and stakeholders through engaging presentations.
Quality Assurance:
Maintain data accuracy and integrity by overseeing research administration, paying close attention to detail, and properly managing confidential or regulated information.
Support Senior Staff:
Provide logistical and analytical assistance to senior research or insights managers by conducting background research, drafting survey and discussion guides, and more.
Project Management:
Oversee project timelines, document research processes, assist with scheduling, and maintain organized research files.
Innovation and Trends:
Stay updated on emerging research technologies and methodologies to innovate research practices and enhance the quality of insights.
Required Skills & Qualifications:
5 years hands-on experience within the market research industry, collecting and analyzing data, reporting and presenting findings within the healthcare industry
Advanced analytical skills, including experience with statistical modeling and ability to integrate disparate data sources
Advanced storytelling and presentation skills; ability to translate complex concepts and methodologies into easily understood language
Expertise with Excel, PowerPoint, PowerBI, and AI solutions
Highly motivated, results-driven person, who works effectively in a collaborative, fast-paced environment
Bachelors or advanced degree in business, mathematics, or the sciences
Should have understanding of conjoint, Max Diff, price elasticity, concept testing, and other such research types.
Should have experience managing complex market research studies such as brand health and brand equity trackers
Preferred Experience:
Has a deep understanding of the healthcare industry/sector including experience with LTPAC, Acute and/or Payer audiences.
Previous experience working successfully in a SaaS organization
Experience with a wide array of new product, brand, advertising and customer segmentation research methodologies
#LI-TW1
#LI-Remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $86,000 - $96,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: Seattle
THE ROLE
As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard — and your job is to design something that satisfies all of them and then prove it at production scale.
Getting an enterprise team there usually means moving them off something else, so most of your work is making that migration credible: the architecture, benchmarks run against their own data, and a plan their engineers believe they can execute.
This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required — technical depth is non-negotiable.
WHAT YOU WILL BE DOING
- Own the technical evaluation for enterprise accounts — from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload.
- Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room.
- Design for production scale — sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am.
- Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce.
- Own the migration plan — sequencing, dual-run, validation, and cutover — so the customer's team can see exactly how they get to production.
- Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements.
- Partner closely with Enterprise AEs to progress and close opportunities — you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together.
- Advocate for customer needs internally with Product and Engineering — you're the voice of the technical buyer inside ClickHouse.
- Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working.
WHAT YOU BRING
- Deep technical foundation in data infrastructure — built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
- Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them.
- Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load.
- Fluency across the modern data stack — Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure) at architecture level.
- Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard.
- Customer-facing experience with real stakes — pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers.
- Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon.
- Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall.
- Willingness to say ClickHouse isn't the right tool for a given workload when that's true.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Director, Investments & Liquidity to join our Treasury team. This is a foundational role on a quickly growing Treasury team. As we experience exponential growth, you will be instrumental in ensuring optimal capital allocation, protecting our financial assets, and establishing the policies and infrastructure needed to support our expanding global operations.
The work spans strategy and execution: owning the capital planning framework and investment policy, standing up in-house trading infrastructure, and overseeing external managers. Reporting to the Head of Investments & Markets, you will partner closely with teams across Finance, Legal, and Accounting to achieve these objectives.
You will build AI-native investment workflows: apply AI tools to portfolio analytics, manager and counterparty monitoring, IPS compliance, interest income forecasting, and executive reporting, partnering with Finance, Engineering, Data, and FinSys, with controls, documentation, and auditability built in.
Key responsibilities
Own and optimize Anthropic's external investment program, including money market funds, bank deposits,and separately managed accounts
Monitor external manager performance and maintain a manager bench with clear performance reporting
Design and build an in-house investment program, including direct fixed income trading capability, trade infrastructure, and custodian connectivity
Develop and operationalize a capital planning framework across operating and strategic liquidity tiers
Design and maintain the investment policy statement, Treasury policies, and SOX-ready investment controls
Build CFO-ready management reporting covering portfolio performance, policy compliance, and risk exposures
Minimum qualifications
Deep expertise in corporate cash investment strategy, developed in Treasury, corporate finance, or fixed income portfolio management
Experience with an in-house investment program, including direct fixed income trading
Hands-on experience with SMAs, investment policy design, capital allocation frameworks, and external manager oversight
Experience developing and implementing Treasury policies and SOX-ready controls
Demonstrated operational readiness at scale, with comfort being personally accountable for large, time-sensitive cash movements
Familiarity with the Investment Company Act of 1940 and relevant exemptions
Preferred qualifications
10+ years of relevant experience in Treasury, corporate finance, or fixed income portfolio management
Experience in a high-growth technology environment
Experience standing up in-house trading capability and trade infrastructure, including order management systems and custodian connectivity
Familiarity with integrating cash forecasting into investment laddering
FX/derivative trading experience to act as back up trader for risk team
CFA charter
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Claude Science is a big part of building toward that future.
Claude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools — literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors — and we're just getting started. Much of this is being built 0→1 right now, in a category no one has defined yet.
We're growing the Claude Science product team. As a Product Manager on Claude Science, you will own a major area of the roadmap end to end — think expanding into new scientific fields, landing new model capabilities with researchers, or making the workbench ready for enterprise R&D teams — and help shape the overall product direction alongside the rest of the team. You'll spend real time with researchers in academic labs, biotech and pharma R&D, and research institutes to understand how science actually gets done — from hypothesis to analysis to publication and beyond— and turn what you learn into shipped product. You'll partner directly with our research teams to make the models better at science, help decide which fields and workflows we go after next, and shape what it takes for Claude Science to be trusted in enterprise and regulated research environments.
We're looking for experienced product managers and founders with real scientific or technical depth: people who can hold their own in a conversation with a structural biologist or a computational chemist, get in the weeds of model transcripts and evals, and still zoom out to help define a product category. You thrive in ambiguity, uncover non-obvious use cases for nascent capabilities, and bring those insights back to research.
Our north star is for Claude Science to accelerate scientific progress — across biology, chemistry, physics, and beyond — from early discovery through real-world application, by an order of magnitude.
Key responsibilities
Own vision, strategy, roadmap, and execution for a major area of Claude Science, and contribute to overall product direction in a category that is still being defined
Spend meaningful time with working scientists — in interviews, working sessions, and key customer conversations — and synthesize what you learn into clear priorities, requirements, and success metrics
Partner with research to make Claude better at science: define target behaviors, build and shape evals grounded in real scientific workflows, surface failure modes from real usage, and feed them back into model development
Drive model and feature launches in your area end to end: define readiness criteria, coordinate across research, engineering, design, and go-to-market, run early access programs, and make sure launches land well with researchers
Identify which scientific domains, data sources, tools, and integrations Claude Science should support next, and build the case with evidence from users, usage data, and the broader landscape
Prototype ideas yourself with Claude to validate them before committing engineering time
Work with safeguards, policy, security, and go-to-market partners so that powerful scientific capabilities reach trusted researchers responsibly, including in enterprise and regulated research settings
Drive enterprise readiness — security and compliance reviews, admin and deployment controls, and the procurement realities of pharma and biotech — so large organizations can adopt it with confidence
Prioritize ruthlessly across a broad surface — scientific domains, customer segments, and competing workflows — and make clear calls on what our products serve deeply first, holding the line on MVP versus ideal state
Define how success is measured for AI research and development products — adoption and retention among working scientists and operators, time-to-result on real analyses, trust in outputs — and use those measures to steer planning
Maintain an objective, current view of the AI-for-science ecosystem — models, tools, benchmarks, and competitors — and of where Claude Science stands within it
Minimum qualifications
Have product management experience shipping technical products in close partnership with engineering and design, or equivalent experience driving product direction as a founder, engineer, or scientist
Have a scientific or deeply technical background — enough to reason with domain experts about their workflows and to diagnose where and why a model is falling short on a scientific task
Have a strong grasp of AI and LLM concepts, use AI tools daily, and are comfortable going deep on model behavior, prompting, and evaluation methodology
Are data-driven: you ground prioritization in usage data, eval results, and evidence from users rather than intuition alone
Have strong user empathy and can synthesize vague or contradictory feedback from expert users into actionable priorities
Navigate and execute amid ambiguity as a first-principles thinker, flexing across scientific domains based on the problem at hand and finding simple, easy-to-understand solutions
Communicate clearly in writing and can align research, engineering, and go-to-market stakeholders through influence rather than authority
Think carefully and creatively about the risks and benefits of putting frontier scientific capabilities into the world, beyond past checklists and playbooks
Preferred qualifications
8+ years in product management or equivalent product leadership, including taking products from 0 to 1 and scaling them; founder experience is a plus
An advanced degree or hands-on research experience in biology, chemistry, physics, materials science, or a related field — or experience building software for scientists (e.g., computational biology, cheminformatics, lab informatics, simulation, or scientific data platforms)
Have personally built evals or benchmarks for model capabilities, ideally agentic or scientific ones
Experience shipping products into life sciences, pharma, or other regulated research environments, including familiarity with their data governance and compliance expectations
A track record of launching ambitious products that found distribution or commercial success
Experience designing trusted-access or staged-rollout programs for sensitive capabilities
A creative, hacker spirit and a love of solving hard puzzles
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: Worldwide
Workplace: hybrid
Job description | Nurse
Tasks:
Within his/her field of activity as a Nurse, he/she is responsible for assisting the present ship's Doctors in medical matters. Furthermore, the Nurse has to fulfill all activities, duties and tasks within his/her department.
· Ensuring a smooth process in the board hospital; administrative and medical support during consultation hours
· Admitting passengers and crew members
· Handing over General Terms of Conditions (GTC) and declaration of consent to passengers or crew for signature before consultation and treatment
· Scanning diagnostic findings, GTCs and declaration of consent
· Assisting during medical examinations and treatments (e.g. lab test, plastering, changing bandages, X-ray, ECG etc.)
· Handling telephone and email communication
· Support in the treatment of emergencies and patients with acute illnesses
· Management of the pharmacy (check first in - first out principle)
· Control of pharmaceutical stocks and consumables
· Ordering medication, supplies and stationery in consultation with Doctor and under economical aspects
· Monitoring and disposing expired drugs on a monthly basis (s. Checkliste Verfallsdaten) in the hospital and 2nd hospital; except narcotics.
· Handling daily posting procedure (bills) and collecting signature from the Doctor
· Portfolio maintenance of oxygen cylinders
· Keeping, printing and sending out checklists (e.g. O2-inventory list)
· Keeping, signing and printing out checklists (daily/weekly/monthly checklists)
· Transmitting the Notification of Accident
· Entering accidents in RiscConnect System in cooperation with the Doctor
· Sterilisation of instruments
· Cleaning and disinfecting of immediate working environment
· Control of medical devices
· Assisting in all life-threatening emergencies - "Mike Mike" on board
· Participation in all ship-related and medical team safety drills and training, as well as assisting the doctor with first aid courses and medical team drills
· Participating in on-all duties (24 hours)
· Ordering water and stationery
· Complying with the Medical Manual / SQM (e.g. process of disembarkation, death onboard, water testing etc.)
· Conducting hygiene controls regarding water and fresh water (Colilert-18 Test) and Legionella prevention
· Participation as a protocolist in ship’s hygiene inspections
· Monitoring and enforcement of the ship’s integrated pest management
· Assists the Doctor in the preparation of the audit
· Portfolio maintenance of the medical equipment list
· Participating in and contributing to annual equipment maintenance and documentation of medical product books
· Documented handover and familiarization of his/her replacement (Handover notes, Familiarization Form, Instruction of laboratory equipment, Instruction of medical equipment)
· Collection of login data for new staff from IT Administrator on board
· Assists the Doctor in coordinating with Chief/Crew Purser in cases of medical disembarkation or referral shoreside
· Coordination of local purchase of medications
· Final review and delivery of checklists to Medical Department Hamburg
· Participation in cabin inspections
· Maintenance of the vaccination database and administration of necessary vaccinations on Doctor’s order
· Compliance with all infection control measures and implementation of appropriate measures
· Inventory and reordering of infection control materials
Checking the first-aid kits and eye wash bottles on board
ONLY FLUENT GERMAN SPEAKING CANDIDATES WILL BE CONSIDERED.
QUALIFICATIONS:
ACLS/PALS
X-ray expertise
Basic Safety Course (STCW)
security Awareness Training
Valid German medical fitness certificate for sea service, (original document)
2 year experience in an emergency room/intermediate care unit/intensive care room
Vaccination pass incl. yellow fever-,hepatitis A + B, MMR vaccination (original pass)
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems.
Responsibilities
Revenue Platform Architecture & Development
Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries
Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations
Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models
Data Engineering & Pipeline Orchestration
Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams
Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements
Systems Integration & Technical Leadership
Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth
Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort
Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes
Innovation & Continuous Improvement
Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics
Evaluate and implement emerging technologies to modernize integration architecture
Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards
Mentor team members on technical best practices, code reviews, and documentation standards
Minimum qualifications
Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses)
Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606)
Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development
Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions
Track record of leading technical workstreams during ERP transformations or major system migrations
Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions
Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards
Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing
Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability
Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams
Preferred qualifications
Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations
Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes
Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios
Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems
Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials
Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data
Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures)
Experience leveraging agentic development workflows
Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation
Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams
Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field
Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks
Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation
Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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 | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy.
Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy
Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases
Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios
Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations.
Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions
Minimum qualifications
Experience as a people manager
Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
Experience performing content review, abuse investigations, or policy enforcement at volume
Proficiency in SQL and/or Python for data analysis and threat detection
Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Preferred qualifications
Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
Experience with large language models and an understanding of how AI technology could be misused for cyber operations
Experience operating within abuse monitoring programs or enforcement review systems
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Experience working with government agencies, regulated environments, or information sharing communities
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:
$285,000
—
$330,000 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: United States, Los Angeles, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
This dynamic and engaging role does not fit the average definition of Desktop Support. For SIE, the Studio IT Support Specialist possesses a mix of skills and experience often found in desktop support, helpdesk support, and limited system administration roles. The right candidate is versed in a wide range of client technologies; responsible not only for the implementation, maintenance, and highest level of performance-tuning for client technology, but also for being a champion for strong working relationships directly with the people who utilize that technology.
This is a customer service role and fundamental to its success is building and maintaining support relationships with internal business teams, promoting trust, setting expectations, and achieving mastery in customer service. The ability to think strategically at a fast pace, troubleshoot accurately while navigating interdependent system relationships - all while driving multiple projects to successful completion in tight, shifting deadlines is the reality of this position.
Please note, flexibility is possible, but this is considered primarily an in-person role, reporting daily to offices located in Playa Vista, California.
Responsibilities
Provides helpdesk-level coverage and support for internal clients. Coordinates, diagnoses, and troubleshoots incoming employee requests for support according to established process
Solve technical problems and information technology issues involving desktop, laptop or network services from local personnel or from employees using network remote access. Collaboration with remote sites expected and encouraged
Provides timely resolution of problems or escalation on behalf of customer to appropriate technical personnel
Develops, documents, and implements standard operating procedures and customer service guidelines relating to IT support
Perform first and second level support and troubleshooting for workstation and mobile systems
Interface directly with end users in peril, lead and resolve incidents in an efficient manner, maintaining the highest levels of customer support and response and documentation
Establish and maintain direct relationships with business units as a support resource and contributing member of the production teams
Organize the unorganized, communicate thoroughly and effectively in both written and spoken forms across the organization
Work proactively to determine potential issues existing in the environment. Apply performance tuning techniques where applicable
Research new trends and technologies leading to testing and justification for deployment
Be available off hours for scheduled, week-long on-call rotation, which will include system maintenance and emergencies
Perform inventory management of team resources; apply workstation build technologies; configure and manage user account provisioning and permissions
Be eager to grow and develop new skills and tackle special projects as needed
Required Skills
Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully
Strong in client hardware and software; strong email/messaging troubleshooting experience; mid to advanced-level understanding of Windows OS
Skilled in Microsoft Office Suite and other production software packages (Adobe, Maya, Zbrush, Visual Studio, etc.)
Must understand and communicate system concepts to end users and technical teams
Familiar with the concepts behind a distributed build system; familiarity with enterprise storage technologies (SAN, NAS, iSCSI) – NetApp, EMC, HDS ideal; basic networking skills; knowledge of security concepts and industry best practices
Ability to interact effectively with others on varying technical competency, vendors, management, and staff
Manages competing demands and changes approach or method to best fit the situation
Takes responsibility for own actions; Keeps commitments; Commits to required work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. Is actively available to respond when needs arise
Volunteers readily, undertakes self-development activities and seeks increased responsibilities; asks for and offers help when needed
Operates across multiple projects concurrently and assumes responsibility for implementation of projects
Preferred Experience
Linux and Mac OS experience are both a strong plus
Appreciation and experience in platform/computer/video gaming is preferred!
#LI-SMS
#LI-AM1
Avoid Recruitment Scams/Phishing Attempts:
Please be aware that any official outreach in response to your application will always be done from a
@sony.com email address
. Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying.
Anyone using an email that is not @sony.com is
not affiliated with us
and should be
reported
either
via the platform they are contacting you on
or
directly to your email service
as a phishing attempt/scam.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$86,000
—
$129,000 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases
Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account
Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution
Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders
Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value
A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives
Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups
A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor
Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders
Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions
A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously
A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture.
In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams.
Key responsibilities
Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design
Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements
Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect
Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs
Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy
Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions
Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation
Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations
Minimum qualifications
JD from an accredited law school and active membership in at least one US state bar
Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact
Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity
Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks
Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences
Preferred qualifications
8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks
Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice
Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes
Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls
Familiarity with model evaluation, capability testing, or AI safety concepts
A background that combines private practice and in-house experience
Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent
Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting
Excellence at cross-functional collaboration
Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards
Understanding of how to build constructive long-term relationships with regulators and standards bodies
Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$335,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud.
Responsibilities:
Model Safety Across Clouds
Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model
Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations
Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces
Drive our transparency commitments to customers and partners on data access, review, and enforcement
Fraud & Abuse
Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing
Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives
Cross-functional Leadership
Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities
Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft
Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds
Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive
Work with marketing and partner teams on how we position our safeguards externally
Minimum requirements:
Have 10+ years of experience.
Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software.
Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations.
Are an excellent written communicator and able to drive clarity out of complexity.
Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike.
Preferred requirements
Prior product experience in trust & safety, security, privacy, or compliance.
Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party
Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap.
Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.
Background in AI safety, content moderation, or abuse-detection systems.
Designed incident-response or escalation processes that span more than one company.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas.
The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace.
You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces.
This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves.
*Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature.
Key responsibilities
Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity
Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what
Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character
Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership
Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks
Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed
Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement
Minimum qualifications
Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field
Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation
A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed
Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available
Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives
Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information
Preferred qualifications
Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work
Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system
Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines
Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators
Experience using agentic AI tools to scale a team's analysis and operations
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$330,000
—
$395,000 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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible.
About the role
We're looking for a Partnership Manager to grow our
AI for Science Program
. You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains.
In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI.
Responsibilities:
Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations
Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building
Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact
Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities
Manage timelines, resource requirements, and regular reporting associated with the AI for Science program
Work closely with partners to understand their technical and operational needs and translate them into deployment plans
Comfort with early technical prototyping and testing to help learn alongside and unblock partners
Contribute to a research agenda for understanding AI's impact on individual labs across domains
Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem
Represent Anthropic at global scientific convenings and conferences
Help shape team processes and culture as we scale our Life Science work
You may be a good fit if you have:
2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress
Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities
A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships
Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams
Analytical mindset with experience using data to inform strategy and measure impact
An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project
A genuine drive to maximize impact for underserved communities
High agency and comfort with ambiguity; you thrive when you're building the plane while flying it
Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities
Willingness to travel for occasional partner visits and conferences
Strong candidates may also have:
Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives
Experience working with philanthropic foundations on science funding
Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product
Background in wet lab research with an ability and aptitude for scientific communications
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$170,000
—
$215,000 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: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building AI compute at a scale and pace that outruns what off-the-shelf data center equipment was designed for. Much of the power and cooling equipment behind our next campuses — battery energy storage systems (BESS), grid-forming and grid-following inverters, solid-state transformers (SST), E-STATCOM and other power-quality devices, medium-voltage switchgear, UPS, and liquid-cooling systems — is either new to the market, new to the supplier, or being built at a volume the supplier has never shipped before.
The NPI Engineer owns the path from "the supplier has a design" to "the equipment is qualified, manufacturable at rate, and running reliably on site." You sit between our electrical and mechanical design teams, our supply chain and quality teams, and the supplier's engineering and factory organizations, and you make sure every new product or major variant clears the gates — EVT, DVT, PVT, FAT, SAT — before it is trusted with production load. This is a hands-on role: you will spend real time on supplier factory floors, in test labs, and at site commissioning.
What you'll do
Own the NPI program for each new power or cooling product
(BESS, inverters, SST, E-STATCOM, MV switchgear, UPS, CDUs, chillers) from concept selection through ramp, including the gate schedule, exit criteria, and risk register.
Drive early supplier design engagement:
translate our site requirements (fault current, grid interconnection, harmonic and ride-through requirements, thermal envelopes, footprint, serviceability) into product requirements and specifications the supplier can build to, and negotiate trade-offs with their engineering teams.
Lead DFM/DFT/DFx reviews
with suppliers so designs are manufacturable at the rate we need, testable in the factory, and serviceable in the field.
Plan and run prototype and pilot builds:
define EVT/DVT/PVT scope and sample counts, witness builds, own test plans (type testing, HALT/HASS, thermal, EMC, protection coordination, functional and integration tests), and drive root cause and corrective action on every failure.
Qualify the product for deployment:
define and execute first-article inspection, factory acceptance testing (FAT), site acceptance testing (SAT), and integrated system testing with the rest of the electrical and cooling chain, and sign off on production readiness.
Hand off to steady state:
transfer qualified products, control plans, test procedures, and known-issue lists to the Manufacturing Quality and Supply Chain Delivery teams, and support them through the first production ramps.
Build the reliability picture:
run FMEA/DFMEA with suppliers, define reliability targets and burn-in requirements, and feed field failure data back into the next revision.
Coordinate cross-functionally
with design engineering, construction, commissioning, utilities/interconnection, safety, and sourcing so NPI schedules are integrated with campus delivery schedules.
Keep suppliers honest:
track readiness and risk with clear metrics, escalate early, and hold technical reviews that resolve issues rather than admire them.
You may be a good fit if you have
8+ years of engineering experience in power electronics, electrical equipment, or industrial energy systems, with at least 4 years in an NPI, product development, or product engineering role that owned a product from prototype through production ramp.
Direct, hands-on experience with at least two of: BESS, utility- or data-center-scale inverters, medium-voltage transformers or switchgear, UPS, STATCOM/power-quality equipment, or liquid cooling systems (CDUs, chillers, hydronics).
Working knowledge of the relevant standards and how they get applied in qualification: UL 9540/9540A, UL 1741 and IEEE 1547, IEEE 2800, IEC 62477 / IEC 62909, IEEE C37 and C57 series, NFPA 70/855, UL 1778, and comparable IEC equivalents.
Experience defining and executing structured qualification programs (EVT/DVT/PVT, FAT/SAT, type testing, reliability testing) and closing failures with disciplined root cause analysis and CAPA.
Familiarity with supplier factory environments — production lines, test bays, quality systems — and the ability to assess a supplier's real readiness to ship at rate.
Fluency in design-for-manufacturing and design-for-test principles and the supplier ECO/change-control process.
Strong systems thinking: you can reason about how an inverter, a battery, a transformer, and a cooling loop behave together at a site, not just in isolation.
Clear written and verbal communication, and comfort driving decisions across engineering, supply chain, and executive audiences.
A bachelor's degree in electrical, mechanical, or power engineering, or equivalent experience.
Willingness to travel 30–40% to supplier factories and data center sites, including internationally.
Strong candidates may also have
Experience with solid-state transformers, grid-forming inverters, E-STATCOM, or other emerging power-conversion equipment being introduced to data center or utility applications for the first time.
NPI or product engineering experience at a hyperscaler, a large utility-scale developer, or a Tier-1 power equipment OEM.
Background in grid interconnection studies, protection coordination, or power-system modeling (PSCAD, ETAP, PSS/E, or similar).
Liquid cooling product introduction experience — CDU, rear-door heat exchanger, direct-to-chip, or immersion systems.
Reliability engineering credentials (CRE, Six Sigma) or experience running HALT/HASS programs.
Firmware and controls validation experience for power conversion equipment (inverter control loops, BMS, EMS, PLC/SCADA integration).
Experience standing up or scaling new supplier manufacturing lines, including contract manufacturing and international sites.
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
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals.
Key responsibilities
Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities
Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production
Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions
Handle civil third-party subpoenas and preservation demands
Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling
Run and improve the law enforcement response process and tooling
Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations
Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing
Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests
Monitor legal developments in government access to user data and advise the team on their operational impact
Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives
Minimum qualifications
Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience
Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests
Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs
Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization
Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure
Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously
Experience owning an intake, queue, or docketing process end to end, including deciding what gets escalated and maintaining rigorous tracking
Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else
A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department
Preferred qualifications
5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department
2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies
Experience building or scaling a law enforcement response process
Experience managing legal intake process within a growing company
Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues
Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$170,000
—
$220,000 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 an Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.
Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.
Responsibilities:
Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building
You may be a good fit if you have:
3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
Track record of selling technical products in competitive markets
Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
Passion for making powerful technology safe and societally beneficial
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$315,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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 Enterprise Account Executive, Retail based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's retail, consumer packaged goods (CPG), and general trading companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimize operations, strengthen supply chains, personalize customer experiences at scale, and sharpen their competitive position with Anthropic's AI solutions.
Key responsibilities
Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's domestic retailers, CPG manufacturers, and general trading companies
Build and execute territory plans, identifying high-value opportunities across supermarket and convenience store groups, specialty retailers, food & beverage and consumer goods manufacturers, and sogo shosha and their group companies
Lead consultative sales processes with senior executives — including CIOs, CDOs, CMOs, and heads of supply chain, merchandising, and DX — positioning AI as a driver for demand forecasting, personalization, inventory optimization, trade and supply chain operations, and enhanced customer experience
Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail and enterprise technology stacks while meeting Japan's data privacy requirements under the APPI framework
Minimum qualifications
Enterprise sales experience in Japan with significant exposure to retail, CPG, and/or trading company accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach
A track record of managing complex sales processes and securing strategic deals with large-scale retailers, consumer goods manufacturers, and trading companies by understanding the operational and technology challenges unique to Japan's consumer and trading sectors
Demonstrated ability to navigate complex stakeholder ecosystems, building consensus across merchandising, supply chain, digital, marketing, and business division teams with multiple budget authorities and approval layers
Proven experience exceeding revenue targets by effectively managing pipeline across seasonal retail cycles, the rapid decision-making cadence of consumer-facing businesses, and the consensus-driven procurement processes of trading companies
Preferred qualifications
8+ years in relevant field
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 identifying opportunities within Japan's retail, CPG, and trading sectors 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: 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
Anthropic is expanding its reseller program in Japan and Korea. As our Reseller Operations Manager for Japan and Korea, you'll own how resellers in both countries get onboarded, transact, get paid, and get supported, across both of our resale motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. The global team builds the program; you make it work for Japanese and Korean partners and feed back what has to change.
This is an operator role, not a partner manager role. In the first months you'll be validating deal registrations and answering partner tickets yourself; by the end of the first year the volume should be running on documented process, service levels, and vendor or system coverage that you set up.
Key responsibilities
Own reseller onboarding for Japan and Korea end to end: application intake, screening coordination, agreement execution, marketplace authorization, entitlement setup, and activation, and keep the partner record in Salesforce decision-grade for both regions.
Run hyperscaler (3P) reseller operations: deal-registration intake and validation within SLA, marketplace authorizations and private-offer processing with the cloud alliance teams, and end-customer reporting on every reseller transaction so partner-sourced revenue can be attributed.
Run direct (1P) reseller operations: partner quotes and order forms, order booking and provisioning, and commit tracking and true-ups with Deal Desk, RevOps, and Accounting, and work with Finance and Tax on local invoicing, currency, and consumption-tax handling for each transaction route.
Run the regional side of reseller incentives: eligibility, validation of quarterly payouts, and partner disputes, in partnership with the global incentive operations team and Finance.
Stand up first-line operational support for resellers in Japanese and Korean during local business hours, inside the global partner support queue rather than alongside it, and localize the onboarding, deal-registration, and ordering content partners depend on.
Manage any outsourced or contracted operations capacity used in region (scope, quality, service levels) and coordinate with Enablement on the logistics of local-language certification and training.
Own reseller reporting for Japan and Korea: registration volume and cycle time, activation, attach, and attributed revenue by partner and by motion, and use it to tell the regional teams and the global program what to fix next.
Adopt the global Partner Operations playbooks where they fit, write the in-region variants where they don't, and represent Japan and Korea requirements in partner systems and automation work so manual volume doesn't grow with partner count.
Minimum qualifications
Several years in channel, reseller, distribution, or partner operations at a technology company, ideally touching both a cloud-marketplace motion and a direct or contract-based resale motion.
Working proficiency in Japanese, Korean, and English. You'll run operational relationships with partners in both countries and work daily with a US-based team; proficiency doesn't need to be identical across all three, but you need to be able to work with partners in both regions.
Practical knowledge of how at least one major cloud marketplace's reseller program works (authorizations, private offers, deal registration), or deep experience in one motion and a track record of picking up the other quickly.
Hands-on experience with quote-to-order, order management, or partner billing, and the Finance, Deal Desk, and Legal coordination that comes with it.
A track record of taking a manual process and turning it into documented workflow, service levels, and reporting, including managing vendors or contractors who execute part of it.
Hands-on Salesforce experience (reporting, data maintenance), and comfort being the only operations person in the region while working with a team many time zones away.
Preferred qualifications
Experience inside the Japanese or Korean enterprise reseller and systems-integrator ecosystem, including local invoicing, credit, and consumption-tax conventions.
Experience with partner incentive or rebate operations, or with a partner program during its launch phase.
Experience with PRM or deal-registration tooling, or building automations with Claude or similar tools to run operational workflows at volume.
How this role works with the team
You'll report into Partner Experience and work day to day with two groups. The global Partner Operations team in San Francisco owns the reseller program's systems, and playbooks; our reseller operations owner there is your direct counterpart, and you'll split work along a simple line: they own the global process, you own its execution and adaptation in Japan and Korea. The Japan and Korea go-to-market teams own the partner relationships and the commercial conversations; you're the operational layer underneath them, and the person they come to when something about a partner's onboarding, order, or payout needs to move. You'll also be the regional voice into Finance, Deal Desk, RevOps, and the cloud alliance teams on anything that has to work differently in these markets.
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.
Seattle
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Tokyo, Japan; Hands-on Salesforce experience (reporting, data maintenance), and comfort being the only operations person in the region while working with a team many time zones away
