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 for Digital Native Business based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's fastest-moving technology companies. This is a greenfield, new business role: you'll build your territory from the ground up, owning the full sales cycle from first outbound touch to close across Japan's internet services, gaming, e-commerce, SaaS, fintech, and media companies. You'll work directly with founders, technical leaders, and product teams to help them build with Anthropic's AI as a core part of their products and operations.
Key responsibilities
Own and exceed revenue targets by winning net-new logos across Japan's digital native companies, including internet services, gaming, e-commerce, SaaS, fintech, and media
Build a greenfield territory from scratch: develop your own account list, generate pipeline through self-sourced outbound prospecting, and create repeatable plays for landing new accounts
Run fast, consultative sales cycles with founders, CTOs, CPOs, VPs of Engineering, and Heads of AI, positioning Claude as the foundation for AI-powered products and competitive differentiation
Land new accounts quickly and set them up for expansion, working closely with technical buyers and developer teams who evaluate hands-on
Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to win technical evaluations and accelerate time to production for customers building on our models
Preferred qualifications
8+ years of sales experience in Japan with a clear track record as a hunter: consistently winning net-new logos and generating the majority of your own pipeline through outbound prospecting
Experience selling to digital native, internet, or high-growth technology companies, and comfort engaging technical buyers such as engineering and product leaders, not just business stakeholders
A track record of opening greenfield territories or segments with little existing brand presence, building pipeline and closing revenue from zero
Proven experience exceeding revenue targets driven primarily by new business, with the ability to manage high-velocity cycles alongside larger strategic deals
Strong commercial instincts for usage-based and consumption models, and the ability to connect product adoption to revenue growth
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 territory and account prioritization combined with high-energy, persistent 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: Dubai, United Arab Emirates
We are looking for a friendly and efficient Receptionist for our Clinic to provide excellent customer service and administrative support. The Receptionist will be the first point of contact for patients and visitors, managing appointments and ensuring smooth front desk operations.
Key Responsibilities:
Greeting patients and visitors warmly and professionally.
Managing patient appointments via phone, email, and in-person scheduling.
Handling patient registration, maintaining accurate records and updating patient information.
Answering inquiries about clinic services and directing calls appropriately.
Coordinating with medical staff to ensure efficient patient flow.
Maintaining a clean, organized, and welcoming reception area.
Managing billing, payments, and insurance-related documentation as needed.
Assisting with general administrative duties, including filing and data entry.
Requirements
Previous experience as a receptionist in a healthcare or clinic environment is preferred.
Strong communication and interpersonal skills.
Ability to manage multiple tasks and work under pressure.
Proficiency in using appointment scheduling software and Microsoft Office.
Professional and friendly demeanor with excellent customer service skills.
Ability to maintain patient confidentiality and handle sensitive information.
Benefits
Competitive salary and commission structure.
Ongoing training and development.
Modern and well-equipped work environment.
Location: Dubai, United Arab Emirates
We are seeking a professional, well-presented, and customer-focused Receptionist to join our medical clinic in Dubai. The ideal candidate will be the first point of contact for patients and visitors, ensuring a welcoming experience while efficiently managing front-desk operations.
The successful candidate must have previous experience working in a medical clinic, hospital, healthcare center, or similar healthcare environment and possess excellent communication and organizational skills.
Key Responsibilities
Greet and assist patients, visitors, and healthcare professionals in a courteous and professional manner.
Manage patient appointments, cancellations, and rescheduling through the clinic management system.
Answer incoming phone calls, emails, and inquiries promptly and professionally.
Register new patients and maintain accurate patient records.
Verify insurance details and coordinate with insurance providers when required.
Handle patient check-ins and check-outs, including billing and payment collection.
Coordinate with doctors, nurses, and administrative staff to ensure smooth daily operations.
Maintain confidentiality of patient information in compliance with healthcare regulations.
Ensure the reception area remains clean, organized, and welcoming.
Assist with administrative tasks, documentation, filing, and reporting as required.
Requirements
Minimum 2 years of experience as a Receptionist, Front Desk Executive, or Patient Coordinator in a medical clinic, hospital, dental clinic, or healthcare facility.
Currently based in Dubai, UAE.
Excellent verbal and written communication skills in English.
Proficient in Microsoft Office and clinic/hospital management software.
Strong customer service and interpersonal skills.
Ability to multitask and work efficiently in a fast-paced healthcare environment.
Professional appearance and positive attitude.
Knowledge of medical terminology and insurance processes will be an advantage.
Arabic language skills are a plus.
Benefits
Competitive salary package.
Professional and supportive work environment.
Career growth opportunities within the healthcare sector.
Annual leave and UAE labor law benefits.
Health insurance and other company benefits as applicable.
If you are passionate about providing exceptional patient service and have experience in healthcare front-desk operations, we would love to hear from you.
Location: Dubai, United Arab Emirates
We are seeking a Receptionist to join our team!
The Receptionist serves as the first point of contact for visitors and callers, ensuring a professional, welcoming, and organized front desk experience. This role combines customer service, administrative support, and communication responsibilities to support the overall efficiency of the office.
Key Responsibilities:
Front Desk Operations:
Greet and assist visitors in a polite and professional manner.
Manage incoming calls, emails, and messages.
Maintain a clean and organized reception area.
Customer Service:
Provide accurate information about EGSH and direct visitors to the correct departments.
Handle inquiries and minor complaints courteously.
Administrative Support:
Schedule appointments and meetings as required.
Manage incoming/outgoing mail and office supplies.
Support general clerical tasks (filing, data entry, photocopying).
Coordination & Communication:
Liaise with internal departments and external contacts.
Assist in preparing materials for meetings or staff onboarding.
Professionalism & Compliance:
Maintain confidentiality and uphold EGSH standards.
Ensure reception area follows safety and access protocols.
Requirements
Previous experience in a receptionist or administrative role.
Strong communication and interpersonal skills.
Proficiency in MS Office and standard office equipment.
Professional appearance and attitude.
Fluent in English and local languages.
Benefits
Competitive salary and commission structure.
Ongoing training and development.
Modern and well-equipped work environment.
Location: Berlin
Workplace: OnSite
- Job Title: Security Officer – Classified Information
- Department: ICEYE Germany
- Location: Germany (Berlin)
- Reports to: CEO, ICEYE Germany
- Employment type: Permanent
- Working type: On-Site
- Employment is subject to applicable security screening (incl. SUPO, where required)
THE MISSION OF THE SECURITY OFFICER
Build and own the classified information security posture that lets ICEYE Intelligence GmbH handle Verschlusssachen (VS) and the NATO and EU equivalents.
You will build the defensible, audit-ready Geheimschutz framework for ICEYE Germany. You design it, run it, and represent it to the competent authorities. You are also the trusted advisor to the Geschäftsführer and the first point of contact for all security matters.
This is a role for a builder: someone who is confident in defining, maintaining and communicating the security framework that enables ICEYE's continued growth and lets us meet our obligations to our customers.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
WHAT YOU'LL DO
- Own the roadmap. Define and execute the plan that takes ICEYE Intelligence GmbH from today's baseline to fully cleared operations at the required national, NATO and EU levels. This covers admission to the Geheimschutzbetreuung (facility security clearance), personnel clearances, IT approval and the operational processes underneath.
- Be the appointed Geheimschutzbeauftragter. Act as the company's official security officer. Represent ICEYE with the respective authorities. Lead all interactions with these bodies with credibility and precision.
- Build the framework. Partner with Global Security to implement the hardened frameworks and systems.
- Run the clearance pipeline. Coordinate Sicherheitsüberprüfungen (SÜG) and Sicherheitserklärungen across the German organisation, plus NATO/EU personnel clearance certificates, in close coordination with Global Security so the business stays ahead of programme needs.
- Drive IT approval. Work with IT and Global Security to take classified systems through BSI-aligned approval (Zulassung) for the required classification levels.
- Enable the business. Translate security requirements into practical guidance: handling of VS, visit requests, travel, subcontractors and procurement. Run incident reporting and rehearsed crisis procedures.
WHAT WE ARE LOOKING FOR
- Deep, hands-on knowledge of the German classified-information regime.
- Track record as Sicherheitsbevollmächtigter or directly equivalent in a relevant organisation.
- Working fluency in NATO and EU classification frameworks and how they map to national classification levels.
- Credibility with the relevant authorities and administrative bodies.
- Fluent German and English, with the ability to brief at executive, authority and working level.
- An existing valid security clearance is a strong plus.
APPLICATION PROCESS
1. Intro conversation with Talent Acquisition or local Chief of Staff (30 min)
2. Technical case: a take-home roadmap exercise. Show how you would get from the current state to the highest target classification level, covering facility, personnel and IT approval, presented and defended in person to a panel (90 min)
3. Hiring manager interview with the CEO, ICEYE Intelligence GmbH (60 min)
4. Cross-functional interviews with Operations, Legal/Compliance and ICEYE's Chief Security Officer (3 x 45 min)
5. Final conversation with the Group CEO of ICEYE
WHAT WE OFFER AT ICEYE
At ICEYE, you will join a diverse and highly engaged team united by the ambition to make the impossible possible. We know that we will succeed only through exceptional people in our team — which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. You will benefit from continuous professional development, training opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
BENEFITS
- A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Time for self-development, research, training, conferences, or certification schemes
Employment is subject to applicable security screening, including German Sicherheitsüberprüfung (Ü1/Ü2/Ü3 as required by the role).
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset.
We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Almaty, Kazakhstan
Blue Projects’ Project Delivery & Engineering team is looking for an Automation & Low-Voltage Networks Project Manager to join our team in Almaty, Kazakhstan.
About Blue Projects
Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality.
With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.”
Deliver here. Grow here.
We are seeking an Automation & Low-Voltage Networks Project Manager to lead the delivery of automation and low-voltage systems on a large-scale industrial project in Almaty, Kazakhstan. The role is focused on end-to-end project execution, covering engineering coordination, procurement, construction, testing, commissioning, and handover, while ensuring alignment with safety, quality, schedule, and cost objectives.
Job Description
Lead and manage all automation and low-voltage networks activities throughout the full project lifecycle.
Plan, coordinate, and oversee engineering, procurement, installation, testing, commissioning, and handover of automation and low-voltage systems.
Develop, maintain, and monitor execution plans, schedules, budgets, and resource allocation for the assigned scope.
Ensure project objectives are met in terms of safety, quality, schedule, and cost.
Identify project risks, define mitigation measures, and implement corrective actions when required.
Coordinate the development and review of design documentation, technical specifications, calculations, drawings, and engineering deliverables.
Ensure compliance with project requirements, client standards, local regulations, and international engineering practices.
Manage design interfaces between automation, electrical, mechanical, civil, utilities, and production equipment disciplines.
Review and approve technical solutions proposed by designers, contractors, and suppliers.
Support preparation of technical scopes of work, tender documentation, and contractor evaluation activities.
Participate in technical bid evaluations and supplier selection processes.
Coordinate procurement activities to ensure timely manufacturing, delivery, and installation of equipment.
Monitor contractor performance and ensure compliance with contractual, technical, and quality requirements.
Supervise and coordinate site installation works related to automation and low-voltage systems.
Monitor construction progress and proactively resolve technical, commercial, or schedule issues.
Ensure installation works follow approved designs, specifications, procedures, and applicable regulations.
Coordinate interfaces and work sequencing with other disciplines to support efficient execution.
Ensure compliance with quality requirements, applicable standards, and regulatory obligations.
Organize and participate in inspections, audits, testing, and quality reviews.
Coordinate FAT, SAT, pre-commissioning, commissioning, and start-up activities.
Ensure completion of punch lists, testing records, and handover documentation.
Promote a strong health, safety, and environmental culture across all activities.
Ensure compliance with HSE requirements, company policies, and local legislation.
Participate in safety inspections, risk assessments, incident investigations, and corrective actions.
Maintain effective communication with the client, project team, contractors, and suppliers.
Prepare progress reports, risk assessments, forecasts, and management presentations.
Escalate critical issues and propose solutions to support project decision-making.
Provide leadership, technical guidance, and support to the automation and low-voltage project team.
Foster a collaborative, accountable, and high-performance working environment.
Qualifications
Bachelor’s degree in Automation Engineering, Electrical Engineering, Telecommunications, Instrumentation and Control, or a related discipline.
Minimum five years of experience managing automation and low-voltage systems on large industrial or manufacturing projects.
Proven experience across engineering, construction, and commissioning phases of industrial facilities.
Strong understanding of automation architectures, industrial communication protocols, and low-voltage systems.
Experience managing contractors, suppliers, and multidisciplinary project teams.
Familiarity with international engineering standards and Kazakhstan construction regulations.
English language proficiency at B2 level or higher; Russian language skills are an advantage.
Project management certification such as PMP, IPMA, PRINCE2, or equivalent is considered an advantage.
Initial one-year contract with the possibility of extension, including a three-month probation period.
Full-time work from the project site office with independent commuting capability.
Planned start date of 22 June 2026 or earlier.
Direct reporting line to the Overall Project Manager, working alongside managers from other disciplines and the mechanical systems site supervisor.
Additional Information
Career growth & well being
At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program.
Global mobility
Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements.
Our culture
We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset.
Inclusion & Equal Opportunity
Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers.
GDPR & confidentiality
By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially.
________________________________________
About Blue Projects
Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma's AI Tools team builds the AI-powered workflows, platforms, and tooling that make every engineer at the company more productive. From agentic CI auto-fixing and AI-assisted code review to background cloud agents that turn a Slack message into a pull request, this team owns the systems that are transforming how Figma builds software. The team operates across a three-layer platform stack—sandbox runtime, cloud agents, and workflow orchestration—while shipping and maintaining a growing portfolio of org-wide developer workflows that compound across hundreds of engineers.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Lead and grow a team of engineers responsible for building and operating Figma's AI developer workflows and the cloud agent platform that powers them
Own the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows
Hire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up
Drive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization
Partner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption
Evaluate and integrate emerging AI tools, models, and agent frameworks, making strategic bets on which capabilities to build versus buy
Establish evaluation frameworks to measure the quality, cost, and impact of AI-generated code and agentic workflows across the organization
Coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, speed, and high-quality execution
We'd love to hear from you if you have:
3+ years of experience managing infrastructure, platform, or developer experience engineering teams, with a track record of scaling teams and delivering high-performing systems
Strong software engineering background, with Staff-level or above technical depth before moving into management with deep understanding of distributed systems, platform architecture, and the operational challenges of running production infrastructure at scale
Demonstrated fluency with AI/ML systems, LLM-based workflows, or agent architectures - as a builder, not just a consumer - with the ability to reason about tradeoffs in nondeterministic systems
Experience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments
Ability to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainability
While not required, it’s an added plus if you also have:
Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows
Familiarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations
Experience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation
Background in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments
Experience building evaluation and quality frameworks for AI-generated outputs
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
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 Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution.
About the Impact
The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts.
We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you.
Responsibilities:
Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
Design and implement operational systems that translate research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities
You may be a good fit if you:
Have 3+ years in operations, consulting, product management, or program management roles
Have exceptional project management skills with ability to handle multiple complex projects simultaneously
Have strong communication skills and can engage effectively with technical and non-technical stakeholders
Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
Are highly organized and can navigate ambiguity effectively
Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
Thrive in fast-paced research environments with shifting priorities
Are passionate about AI safety and understand the critical importance of high-quality data
Strong candidates may also have:
Experience with data collection, labeling, or annotation operations for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Background working with research teams at AI companies or research-oriented organizations
Experience managing vendor relationships or external contractors
Consulting background with experience translating complex requirements into deliverables
Track record of implementing process improvements or quality control systems at scale
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
—
$365,000 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: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Doha, Qatar; Ras Al-Khaimah, United Arab Emirates
Apt Resources is seeking an experienced Chef De Cuisine specializing in Greek cuisine to join a prestigious restaurant in Dubai. The ideal candidate will lead the kitchen team in crafting authentic and innovative Greek dishes that delight guests and uphold the restaurant’s reputation for excellence.
In this role, you will oversee menu development, kitchen operations, staff training, and quality assurance, ensuring the highest culinary standards are met consistently.
Responsibilities:
Create and refine a menu highlighting traditional and contemporary Greek cuisine.
Manage and mentor kitchen staff to maintain smooth operation and high performance.
Ensure compliance with food safety and hygiene standards.
Control inventory, sourcing premium ingredients characteristic of authentic Greek flavors.
Collaborate with front-of-house teams to deliver an exceptional dining experience.
Monitor kitchen efficiency and implement improvements as needed.
Stay informed of culinary trends and incorporate fresh ideas into the menu.
Requirements
Proven experience as Chef De Cuisine or Head Chef, with a strong focus on Greek cuisine.
Comprehensive knowledge of authentic Greek recipes and cooking techniques.
Exceptional leadership and communication skills.
Ability to manage a high-performing kitchen team in a fast-paced environment.
Strong organizational and time-management abilities.
Passion for culinary innovation and quality.
Knowledgeable about food safety and hygiene regulations.
Benefits
As per the market standards
Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Doha, Qatar; Ras Al-Khaimah, United Arab Emirates
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.
We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development.
As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks.
This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you.
Key Responsibilities
Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review
Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis
Work closely with product and design teams to scope, prototype, and ship features for life sciences users
Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements
Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses
Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement
Minimum Qualifications
Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down
Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end
Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures)
A track record of shipping computational tools or pipelines that biologists actually use
Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment
Able to work independently while collaborating tightly with research, product, and domain-expert teams
Results-oriented with a bias toward rapid iteration and measurable impact
Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
Preferred Qualifications
5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience
Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development
Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis
Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.)
Experience building agentic systems or tool-use environments
Published research in ML for biology, or open-source contributions to computational biology tools
Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model.
As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user.
This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work.
Key responsibilities
Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate
Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage
Partner with computer-use researchers
Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows
Instrument products and use usage data to drive prioritization and measure progress
Translate fuzzy user pain points into concrete, shippable features for knowledge workers
Minimum qualifications
Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company
Strong full-stack engineering skills, including production web frontend and backend development
Hands-on experience building with LLM APIs, prompting, or agent frameworks
A track record of shipping to external users and iterating based on their feedback
Preferred qualifications
Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer
Experience with browser automation, desktop automation, or robotic process automation systems
Experience building evals or quality harnesses for machine learning systems
Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
Experience designing agent loops, tool integrations, or guardrails for LLM-based systems
Representative projects
Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate
Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.
You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.
Key responsibilities
Deep dive into user behavior data to provide insights on safety concerns
Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company
Minimum qualifications
Expertise in Python, SQL, and data visualization tools.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
A deep curiosity and energy for pulling the thread on hard questions.
Experience in turning open questions and data into concise and insightful analysis.
Highly effective written communication and presentation skills.
A passion for the company's mission of building helpful, honest, and harmless AI.
Preferred qualifications
8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
3+ years of experience deeply embedding in Product teams.
Experience working on safety, anti-abuse, integrity shaped problems.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Canada
Workplace: remote
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
💥 What will you do?
The Director of Finance at Merkle Science will be responsible for overseeing all financial operations, ensuring financial stability, and supporting strategic decision-making. This role involves managing the finance team, driving financial planning and analysis, and ensuring compliance with financial regulations. The ideal candidate will have a strong background in finance, excellent leadership skills, and a deep understanding of the technology and blockchain industry.
Responsibilities:
Financial Management:
Oversee all financial operations and direct corporate financial planning and structure.
Manage the preparation of financial reports, budgets, forecasts, and regulatory requirements.
Ensure the accuracy and integrity of financial information and reporting.
Develop and implement financial strategies to support the company's growth and profitability.
Budgeting and Forecasting:
Lead the budgeting process and quarterly forecasting updates.
Monitor and analyse budget performance and implement corrective actions as necessary.
Provide detailed financial analysis and modelling to support strategic initiatives.
Compliance and Strategic Planning:
Ensure compliance with local, state, and federal financial regulations and standards.
Develop and maintain policies and procedures to ensure financial governance.
Partner with the executive team to develop and execute long-term financial strategies.
Provide financial insights and recommendations to inform business decisions and strategies.
Team Leadership and Stakeholder Communication
Lead and mentor the finance team, fostering a culture of high performance and continuous improvement.
Provide ongoing training and development opportunities for finance staff.
Manage relationships with external auditors, investors, and financial institutions.
Present financial reports and insights to the executive team, board of directors, and investors.
Communicate financial performance and strategy to internal and external stakeholders.
👀 What are we looking for?
Education and Experience:
Bachelor’s degree in finance, accounting, or a related field; MBA or CPA preferred.
Minimum of 7 years of progressive experience in finance, with at least 3 years in a leadership role.
Proven experience in the technology or blockchain industry is highly desirable.
Skills and Competencies:
Strong knowledge of financial management, accounting principles, and financial regulations.
Excellent analytical and problem-solving skills with a strategic mindset.
Proficiency in financial software and tools, such as ERP systems, Excel, and financial modeling.
Exceptional leadership and team management abilities.
Strong communication and presentation skills, with the ability to convey complex financial information clearly.
❤️ Well Being, Compensation and Benefits
We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.
We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.
Location: London, UK
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
As the EMEA AE Lead, Beneficial Deployments at Anthropic, you'll build and lead a foundational sales team driving Claude adoption across mission-driven organisations in Europe, the Middle East, and Africa. You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.
This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy. Our team and verticals are evolving rapidly—the ideal candidate thrives in ambiguity, is energised by building from scratch, and can flex across changing priorities as we learn what works.
The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.
Role Focus
This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include:
Nonprofits & Foundations:
INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa. Navigate federated organisational structures, EU/UK regulatory requirements, and diverse funding mechanisms.
Emerging Markets:
Partnerships in Africa and India with organisations driving social impact at scale.
Note: Verticals and priorities may evolve as the team learns and grows. We're looking for someone comfortable with a shifting remit who can help shape what this role becomes.
Responsibilities
Win new business and drive revenue for Anthropic within EMEA mission-driven organisations. Navigate complex multi-stakeholder ecosystems to reach decision-makers, educate them about Claude, and help them succeed with Anthropic
Build and lead a regional team supporting EMEA customers, both inbound and outbound. Establish team structure, hiring priorities, and operational processes for scaling—while rolling up your sleeves to close deals yourself
Design and execute innovative sales strategies tailored to diverse EMEA contexts: nonprofit budget cycles and grant timelines, foundation giving patterns, and varying regulatory environments across jurisdictions
Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, trustees, executive directors, and IT departments to build consensus
Develop and maintain relationships with key EMEA ecosystem players: nonprofit networks (Bond, NCVO, European Foundation Centre), education networks, and implementation partners
Inform product roadmaps by gathering feedback from EMEA nonprofit and education users. Provide insights on regional requirements including data sovereignty, language support, and compliance needs
Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices. Adapt global processes for regional contexts while contributing insights back to the global team
Ensure all sales activities comply with relevant data protection regulations (GDPR, UK GDPR) and address customer concerns about data sovereignty, AI ethics, and responsible deployment
Partner effectively with SF-based teams across time zones, maintaining regular cadence with the Beneficial Deployments Lead and cross-functional stakeholders while operating with significant regional autonomy
Help shape team processes and culture as we scale from 1 to N
You May Be a Good Fit If You Have
8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies
Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions, securing strategic deals by understanding both mission requirements and technical needs
Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts
Deep understanding of nonprofit or education sector operations, including INGO federated structures, European foundation giving, UK charity sector dynamics, and/or higher education procurement
Demonstrated ability to navigate diverse stakeholder ecosystems including trustees, executive directors, programme officers, and procurement committees
A scrappy mentality—comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission
Strong understanding of GDPR and UK data protection, with ability to address customer concerns about AI ethics and responsible deployment
Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones
Excellent communication skills with ability to adapt style across cultural contexts
Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus
A genuine passion for social impact and experience with or commitment to advancing mission-driven work through technology
Strong Candidates May Also Have
Active involvement in the EMEA nonprofit or education community through board service, advisory roles, or sector leadership
Existing relationships with major INGOs (Save the Children, Oxfam, IRC, MSF, CARE, World Vision), foundations, or educational institutions
Familiarity with nonprofit data privacy requirements, AI ethics frameworks, and responsible technology deployment
Track record of building strategic partnerships with foundations or philanthropic advisors
Experience presenting at nonprofit conferences (Bond Conference, NCVO Conference, Skoll World Forum) or education forums
Understanding of specific verticals: education technology, digital health, financial inclusion/economic mobility programs
Logistics
Location:
London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly.
Travel:
Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.
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:
£280,000
—
£330,000 GBP
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Vancouver, Canada; Toronto, Canada
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world and a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
About the Role
As a Digital Insurance Project Manager, your core responsibility will be to oversee and manage the implementation of new and/or existing projects within CoverGo's operations. This role presents an exciting opportunity for an individual with a strong drive to lead transformative projects in the insurtech industry.
What You Will Do
Engage and manage relationships with clients and stakeholders
Lead project planning sessions with the internal team and client's staff
Support solution proposals for client pursuits, proposals, and PoCs
Participate in proposal and POC processes (i.e. design, submission, and review)
Support the creation of contracts and related communication with clients
Identify and help secure growth opportunities for existing clients
Manage project progress and adapt work as required
Ensure projects meet deadlines
Manage relationships with clients and stakeholders
Host regular/weekly project review and create reports with key metrics about team and project status using company standard metrics
Oversee all incoming and outgoing project documentation
Identify and manage issues, risks, assumptions, and dependencies
Continuously optimize and improve processes and the overall approach where necessary
What We Need
Bachelor's degree in computer science or a related technical field is a plus
Atleast 5 years experience as a Project Manager
Atleast 3 years experience in insurance
Insurance domain knowledge is a must
Strong client facing experience is a must
Technical skills are a plus
Has experience seeing projects through the full life cycle
Excellent analytical skills and problem-solving skills
Strong interpersonal skills and extremely resourceful
Proven ability to complete projects according to outlined scope, budget, and timeline
Self-motivated and able to work independently
Able, willing, and excited to work in a fast-paced collaborative startup environment
Must be based in Canada
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system (
Clio
), we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Key responsibilities
Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region
Advance research collaborations that answer country- or regional-specific economic impact questions
Translate research insights into actionable recommendations for policy discussions
Make fundamental contributions to the development and expansion of the
Anthropic Economic Index
, including country/regional-specific analysis
Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region
Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on:
Labor markets and the future of work
Productivity and task transformation
Economic inequality and displacement
Industry-specific disruption and adaptation
Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios
Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
Minimum qualifications
PhD in Economics
Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning
Demonstrated experience working in and relevant relationships across the region
Experience relevant to the study of AI’s impact on the economy, including:
Labor market analysis and occupational change
Task-based approaches to technological transformation
Large-scale data analysis and econometric methods
Large language models for social science research
Policy-relevant economic research
Experimental and quasi-experimental methods for causal inference
Macroeconomic modeling and time series forecasting
Agent-based modeling or large-scale simulation
Technical skills including:
Proficiency in Python, R, SQL, or similar tools for large-scale data analysis
Experience working with novel datasets and measurement systems
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead complex research projects from conception to publication
Communicate technical findings to diverse audiences
Build relationships across academic, policy, and industry communities
Strong interest in ensuring AI development benefits humanity
Comfort working with AI systems and ability to think critically about their capabilities and limitations
Representative projects
How Australia Uses Claude: Findings from the Anthropic Economic Index
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional information
For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact.
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.
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Tokyo, Japan
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London, UK; You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy; Partner effectively with SF-based teams across time zones, maintaining regular cadence with the Beneficial Deployments Lead and cross-functional stakeholders while operating with significant regional autonomy; Experience building and scaling sales teams, with proven ability to recruit, develop, and retain top talent while operating across multiple time zones and cultural contexts; Proven experience exceeding revenue targets while operating autonomously, managing an evolving pipeline across multiple market segments and time zones
УдалённоVancouver, Canada; Toronto, Canada; Must be based in Canada
Singapore
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