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Location: Czechia; Ukraine; Hungary Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is on the lookout for talented backend engineers to join the Fields squad at ClickUp! Fields is the heart and soul behind our custom task data - think dynamic schemas, high-volume updates, and the flexibility that lets users tailor ClickUp to their individual workflows. We’re building scalable, high-throughput, low-latency services that handle millions of requests daily. If wrangling distributed systems, fine-tuning performance, and designing robust APIs sounds like your idea of fun, let’s chat.   Role: - Build features and systems with attention to detail and performance. - Own end-to-end development, from conception to production. - Work closely with cross-functional stakeholders to deliver a world-class product. - Identify and implement improvements to our existing systems. - Help establish a fun, fulfilling, world-class engineering culture. Qualifications: - Bachelor’s degree in Computer Science or equivalent major. - 5+ years of experience engineering performant and high-throughput systems (ideally on Node.js). - You write high quality code (ideally in TypeScript) and are uniquely productive. - You have a track record of building performant, high-throughput systems. - You have experience writing and debugging sql queries at scale. - You have experience developing event based systems. - You have experience with major cloud services (ideally AWS). - You are an empathetic communicator. - You are comfortable with ambiguity and have consistently delivered projects with little direction. - You are product-minded and have a good intuition on what a great user experience looks like.   #LI-REMOTE #LI-MAV Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: London, United Kingdom Workplace: hybrid About Global University Systems (GUS) Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position Program Advisors are responsible for promoting the University programme portfolio to prospective students via phone, email, and online meetings, forming a vital and integral part of the sales and recruitment team. The purpose of the role is to manage the student pipeline from initial enquiry and application through to enrolment and payment of tuition fees, providing domestic and international students with support throughout the full application journey. You will work with minimal day-to-day supervision, leading and managing a consultative enrolment process within established procedures and parameters. The role requires a strong understanding of internal systems, processes, programme offerings, and the wider higher education environment. Role holders are expected to work with independence and initiative, prioritise effectively in response to changing demands, and make decisions within defined parameters. You will also be expected to actively contribute to improving recruitment processes and student experience. Your Tasks Proactively manage and respond to a high volume of prospective students through phone, sms, video calls, emails and chats. Often making 100+ dials per day. Continuously learn and master the course offerings and programs provided by the University through structured training and independent research. Provide individually tailored consultations and advice to prospective students, adapting communication style to meet diverse needs Guide students through the full application journey: from initial enquiry through to application completion, offer conversion, and enrolment. Explore a students’ career aspirations and confidently match them to relevant programmes Advise international students on visa, immigration, and compliance requirements where applicable Build and maintain strong relationships with prospective students, providing tailored guidance and solutions, keeping applicants engaged and informed through their enrolment process Deliver excellent customer service to students and stakeholders at all stages of the recruitment cycle Represent the University in a professional, positive, and engaging manner at all times Accurately maintain CRM systems with a high level of attention to detail, ensuring all student records are kept up to date Identify opportunities for new business and recruitment avenues within the market Support continuous improvement in recruitment processes and student conversion strategies Requirements Minimum 1+ years exposure to the higher education industry 2+ years of professional, full-time sales experience in a closing sales role 1+ years of experience working through complex sales cycles with multiple touch points and decision makers 2+ years’ track record of meeting revenue targets and performance quotas 2+ years of experience managing an accurate pipeline and reporting from a CRM Ability to record productivity, report from and maintain sales CRM systems, spreadsheets, and collate data Fast learner, meticulous attention to detail with near perfect verbal and written communication skills A problem-solving and positive attitude with an interest in higher education and the legal profession Preferred Prior experience in an education or e-learning space Related Marketing, Commerce or Tech Bachelors or Honours Degree 1+ years of experience in a team leadership role Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies

Location: London, United Kingdom Workplace: hybrid About Global University Systems (GUS) Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement. Position Program Advisors are responsible for promoting the University programme portfolio to prospective students via phone, email, and online meetings, forming a vital and integral part of the sales and recruitment team. The purpose of the role is to manage the student pipeline from initial enquiry and application through to enrolment and payment of tuition fees, providing domestic and international students with support throughout the full application journey. You will work with minimal day-to-day supervision, leading and managing a consultative enrolment process within established procedures and parameters. The role requires a strong understanding of internal systems, processes, programme offerings, and the wider higher education environment. Role holders are expected to work with independence and initiative, prioritise effectively in response to changing demands, and make decisions within defined parameters. You will also be expected to actively contribute to improving recruitment processes and student experience. Your Tasks Proactively manage and respond to a high volume of prospective students through phone, sms, video calls, emails and chats. Often making 100+ dials per day. Continuously learn and master the course offerings and programs provided by the University through structured training and independent research. Provide individually tailored consultations and advice to prospective students, adapting communication style to meet diverse needs Guide students through the full application journey: from initial enquiry through to application completion, offer conversion, and enrolment. Explore a students’ career aspirations and confidently match them to relevant programmes Advise international students on visa, immigration, and compliance requirements where applicable Build and maintain strong relationships with prospective students, providing tailored guidance and solutions, keeping applicants engaged and informed through their enrolment process Deliver excellent customer service to students and stakeholders at all stages of the recruitment cycle Represent the University in a professional, positive, and engaging manner at all times Accurately maintain CRM systems with a high level of attention to detail, ensuring all student records are kept up to date Identify opportunities for new business and recruitment avenues within the market Support continuous improvement in recruitment processes and student conversion strategies Requirements Minimum 1+ years exposure to the higher education industry 2+ years of professional, full-time sales experience in a closing sales role 1+ years of experience working through complex sales cycles with multiple touch points and decision makers 2+ years’ track record of meeting revenue targets and performance quotas 2+ years of experience managing an accurate pipeline and reporting from a CRM Ability to record productivity, report from and maintain sales CRM systems, spreadsheets, and collate data Fast learner, meticulous attention to detail with near perfect verbal and written communication skills A problem-solving and positive attitude with an interest in higher education and the legal profession Preferred Prior experience in an education or e-learning space Related Marketing, Commerce or Tech Bachelors or Honours Degree 1+ years of experience in a team leadership role Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability. The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager. There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Responsibilities Design, develop and maintain data pipelines (python, SQL, Airflow, dbt, k8s, Spark) Support data platform in terms of data integrations, data quality, technical implementation Conduct new data integrations Ensure data quality Documenting your solutions Provide support to analytic teams Important/challenging tasks: Develop a centralized Data Store. Design and build resilient data transformation pipelines across multiple business domains. Develop tools and frameworks for data transformation. You’ll thrive here if you have At least 3 years working as a data engineer Python programming (outside of Airflow) Working with docker SQL advanced Kafka, Airflow, Spark dbt as a plus Column store DBs (clickhouse as a plus) S3/iceberg as a plus Understanding how web applications work Qualification that can be a plus: Working with k8s (as a plus) Experience with data-mesh approach Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.

Location: Sydney, Australia 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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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 We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness Automate data quality checks and validation across all pipelines Analytics Engineering & Modeling Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company Minimum qualifications Are an expert in BigQuery including optimization and partitioning Have built dimensional models and understand slowly changing dimensions Are proficient in SQL, Python, and modern tools like dbt and Fivetran Have implemented data security and privacy controls in cloud warehouses Can translate HR concepts into scalable data models Communicate effectively with both technical and business stakeholders Preferred qualifications Have 5+ years in data engineering Familiarity with ATS platforms (Greenhouse, Lever) and their data structures Experience with building semantic layers for data agents Experience building data pipelines for survey data and text analytics Knowledge of graph databases or network analysis libraries Background in privacy-enhancing technologies or sensitive data handling Previous experience in high-growth technology companies or AI/ML organizations Familiarity with workforce planning and predictive analytics use cases 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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models. In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you. Responsibilities Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs Drive product launches that generate market momentum, from flagship releases to incremental feature updates Design and implement developer marketing campaigns to drive API adoption and platform usage Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market Minimum requirements Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media) Preferred requirements Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products Experience in highly competitive markets requiring sharp differentiation A background in marketing AI/ML products or developer tools to enterprise buyers Experience working closely with Sales teams on strategic, technical deals Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. We are hiring a Senior Risk Associate to run Lithic's risk assessment function: the client risk assessment program, the third party risk management program, and the enterprise risk assessment. You will execute the assessments, own the operations that keep them on schedule and defensible, and continuously improve the rubrics, questionnaires, registers, and SOPs that govern them. You will also own program underwriting: the criteria, limit and reserve recommendations, and periodic reassessment that follow a client from diligence through scale. This is an AI-forward role. Lithic is deploying agentic tooling across diligence and documentation workflows, and this role owns that build in the assessment domain: testing, tuning, and documenting the tooling so routine collection, review, and drafting are absorbed by automation, while you own the judgment calls, the exceptions, and the written product that goes to partner banks and examiners. This role operates with limited guidance and owns its programs end to end. It is sized for ownership, orchestration, and judgment rather than queue/ticket processing. What you'll do: Execute client risk assessments end to end: document collection, interviews, scoring against the weighted risk typologies, written assessment, tier determination, and pre-launch conditions. Own program underwriting: apply and maintain underwriting criteria, recommend spend, transfer, and reserve limits, and reassess programs as volume, product mix, and financial condition change. Run third party risk operations: vendor intake and tiering, due diligence and certification report review, control effectiveness ratings, the vendor risk register, annual reviews, and vendor issue and incident tracking. Support the enterprise risk assessment and the risk register: maintain the assessment inventory and calendar, collect and test control evidence, apply the enterprise rating methodology consistently across sub-assessments, and prepare Enterprise Risk Committee materials. Continuously improve the programs: refine rubrics, weights, questionnaires, and templates based on observed outcomes, and author and maintain the SOPs that make each assessment repeatable by someone other than you. Test, deploy, and tune agentic tooling across the assessment workflows, including document review, questionnaire analysis, vendor due diligence, and drafting, and document the context that makes the output repeatable and defensible. Define and report the KPIs and KRIs for the assessment programs, and surface concentration, trend, and thematic findings to leadership and oversight forums. Serve as the evidence owner for partner bank, audit, and examiner requests touching client, third party, and enterprise risk assessment. Mentor and cross-train teammates on assessment methodology, scoring discipline, and the tooling. What you'll bring: Hands-on experience conducting risk assessments in fintech, payments, or banking, across client or counterparty, third party or vendor, and enterprise or operational risk. Working knowledge of underwriting fundamentals: financial statement review, liquidity and runway analysis, loss and exposure monitoring, and limit setting. Fluency with rubric-based scoring methodologies and the discipline to apply them consistently and defend a rating. A track record of owning discrete risk programs end to end with limited guidance, including authoring the SOPs and defining the metrics that govern them. Ability to read control reports (ISO 27001, SOC 2 Type II, PCI DSS AOC) and translate findings into a residual risk position and a remediation ask. Comfort working with AI-assisted or agentic tooling, including how to test, tune, document, and defend AI-assisted decisions to bank partners and regulators Self-starter who can create structure where none exists and knows when to escalate and collaborate Clear, concise writing under a compliance standard: assessments, memos, and committee materials that hold up in front of a partner bank or an examiner. The annual US salary range for this role is $86,000 - $144,000, plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications. This is a remote position. However, candidates must be located in the United States, Canada (Ontario or British Columbia), Netherlands, Poland, or Czech Republic. We do not offer visa sponsorship or assistance. Benefits for Full-Time US Employees: Unlimited PTO 12-weeks fully paid parental leave 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) Work From Anywhere: work from anywhere in the world 4-weeks each year 3% cashback on card purchases with your complimentary Privacy.com employee account Health, vision, and dental insurance; HSA Contribution Match 401(k) match Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs. In-office employees receive: Commuter benefit Catered lunch every Tuesday and Thursday

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are looking for a Senior Associate, Marketing Operations to own the operational engine behind Garner’s demand generation motion. You will run day-to-day campaign operations, deliver marketing reporting and analysis, and keep lead data flowing to sales with speed and fidelity. This is an automation-first role: you will use AI tools to continuously convert manual work into monitored, hands-free processes, so the role gets more leveraged as you build. This role reports to the Director of Marketing Operations. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own campaign operations end-to-end, including campaign enrollment, list processing, tracking setup, and CRM data hygiene, ensuring every campaign is accurately tracked and attribution is preserved Own the marketing ops request queue, triaging and delivering requests within SLA and escalating only what requires systems-level judgment Use AI tools and automation to convert repetitive campaign ops and request work into hands-free, monitored processes, measured by declining manual effort per campaign Deliver marketing reporting and analysis, maintaining and automating the reporting library (recurring refreshes and event, webinar, and email performance reports) and executing one-off data pulls and analyses as needs arise Own day-to-day lead routing operations, monitoring flow health, resolving routing exceptions, and maintaining speed-to-lead as routing logic and data sources evolve What you will bring to the team: 1–3 years of experience in marketing operations, revenue operations, or a related operational role, preferably at a B2B organization Hands-on HubSpot experience (workflows, forms, segmentation); Salesforce familiarity is a strong plus An automation-first mindset: you’re comfortable with detail-oriented execution, and you’re routinely asking how a process could be made repeatable or hands-free Fluency with AI tools (e.g., Claude) applied to real workflows, or strong motivation to build it fast Data comfort: confident building reports and working in spreadsheets; SQL or Python exposure is a plus A self-starter mindset toward understanding, documenting, and navigating new systems Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $95,000 - $115,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

RELOCATION TO MANILA PH Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. About the role: You'll own the NPV and unit economics model behind Salmon's credit card business — the core logic behind how we price, size, and monitor profitability across the portfolio. What you'll do: — Work directly with the Head of Economics to turn model logic into production-ready Python/SQL code — Build and maintain the datasets that feed the model — cohorts, cashflows, losses, funding, fees, revenue — with help from other analysts — Automate scenario and sensitivity runs so pricing, limit, and product decisions are backed by real numbers What you'll own: — Own the end-to-end NPV / unit economics model for credit cards — clean, testable, versioned logic — Validate model outputs against actual portfolio performance and investigate gaps when they don't match — Translate model logic into clear, implementation-ready specs when other teams need to build on it — Step outside your immediate scope when the work calls for it — we value ownership over rigid roles What makes you a strong fit: — 2–3+ years of hands-on experience in data analytics — Strong Python (pandas) and SQL — for data exploration and for implementing analytics logic in production — Solid understanding of unit economics / financial modeling — cashflows, NPV, cohorts — through direct modeling experience or hands-on work with such models — High attention to detail — small errors break economics in production What we offer: — Ownership and flexibility — Stock option plan — four-year vesting with a 25% cliff after the first year — Hybrid-first work environment — Company-provided tools and equipment — Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene — Health and time off — Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits — Access to an internal mental health support specialist — 22 vacation days, Philippine public holidays, and 15 sick days — 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila — Relocation and family support — Relocation support for you and your family — including flights, two weeks of accommodation, visas, paperwork, and logistics — Reimbursement of eligible pet relocation expenses — USD 2,500 per year for flights home — Baby and family stipends for employees relocating to Manila: USD 1,000/month per child under two, USD 500/month per child aged two to 18 — Growth and team experience — Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications — Company-sponsored trips to Manila to meet and work with your team in person — Regular team offsites, sports activities, and team events — High-performing teams can earn a dedicated beach house week in Southeast Asia

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About 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 a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. Provide white glove deployment support for Anthropic products in enterprise environments. Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. Travel frequently (25-50%) to customer sites to build in person with customers. Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting or product experience. Former technical founders are also encouraged to apply. Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications High agency with an ability to navigate ambiguity present in complex organizations. High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. Passion for advancing safe, beneficial AI systems through creative technical applications. Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. Experience with enterprise IT systems and/or AI deployment patterns is a plus. 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: £225,000 — £255,000 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.

About the company: Inwizo is a payment provider and strategic partner offering intelligent solutions and global reach to empower businesses in the digital economy. The company values a diverse team focused on making global commerce more accessible and inclusive. About the Role: The position is for an experienced High Risk Acquiring Monitoring Specialist in the Risk and Compliance function, focusing on card schemes rules and payment compliance. The role ensures the integrity, security, and scalability of Inwizo's operations. What We’re Looking For: — Minimum 3 years in compliance or risk roles within Acquiring institutions — Experience working with merchants in the Adult industry — Strong understanding of Card Scheme regulations (Visa and Mastercard), onboarding risk standards, and regulatory frameworks in Adult Acquiring vertical — Experience in high risk merchant and wider low & mid risk businesses in EU and/or UK (a strong plus) — Basic knowledge of KYC/KYB, merchant onboarding flows for low to high-risk business verticals — Experience working with Card Schemes and regulators, including audits, reporting, and licensing support — Hands-on expertise with multi-jurisdictional compliance and UK & EU EMI regulations (a strong plus) — Excellent analytical, communication, and interpersonal skills — Fluent English required; fluency in other languages is desirable — Focused on smart compliance rather than strict rule-following — Proactive, self-motivated, comfortable working independently in remote, international, and high-growth environments

About the Company The company is a fast-growing startup developing payment infrastructure solutions in crypto and working with international clients across multiple markets, focusing on scalable financial products and seamless payment experiences. About the Role: We are looking for a responsible and detail-oriented Chargeback & Fraud Specialist to manage notifications from acquiring banks and processors, communicate with merchants, and ensure full compliance with international card schemes. This role is ideal for a professional with experience in acquiring, anti-fraud, or risk management who wants to grow in a dynamic fintech environment. Responsibilities: - Receive and process chargeback and fraud-related notifications from acquirers (banks and processing partners). - Ensure all incoming data complies with Visa and Mastercard requirements. - Timely notify merchants about chargebacks and fraud cases, providing full details. - Consult merchants on received notifications, explain reasons for chargebacks, and identify potential risks. - Maintain internal case logs, including reports, notification templates, and correspondence records. - Collaborate with internal teams to analyze fraud patterns, prevent recurring cases, and improve notification processes. - Participate in the development and implementation of internal procedures for processing chargeback and fraud-related information. Requirements: - Experience in acquiring, anti-fraud, risk management, or merchant support. - Knowledge of international payment systems and chargeback processing principles (Reason Codes, Dispute Lifecycle). - Ability to process and systematize information from multiple sources. - Strong attention to detail, responsibility, and ability to meet deadlines. - Excellent communication skills and proficient written English (for merchant communication). - Experience with Visa Risk Monitoring Program (VRMP), Mastercard Merchant Monitoring Program (MMP), and Chargeback Monitoring Programs (VCMP/MCMP) is a plus. - Russian - native. - English - fluent. Conditions: - Competitive compensation package (fixed + bonus). - Fully remote. - Opportunity to scale and develop the business.

Location: Remote - USA Workplace: Hybrid Chainalysis is the leader in blockchain intelligence, defining how trust is built in the digital economy. We're operating at the cutting edge of one of the world's fastest-growing industries, shaping what comes next. Over the last 2 years, Chainalysis has made big bets and moved fast to capture the market opportunity in front of us: we've accelerated growth, landed enterprise-wide contracts at the world's largest financial institutions, completed four acquisitions to build our AI talent and expand our products, and launched our first agentic product to select customers. The Talent Acquisition team at Chainalysis is responsible for scaling the most important ingredient to our success: people. Our job is to build and execute a talent acquisition strategy that is inclusive, rigorous, and repeatable around the world. As we enter a period of significant go-to-market growth, we're investing heavily in our sales organization and need a recruiter who can match that pace. We're looking for a Recruiter, Go-to-Market who will own and drive hiring for sales and go-to-market roles at Chainalysis. This is a high-volume, outbound-heavy role. You'll spend a meaningful portion of your time building pipeline through direct sourcing, identifying and engaging top sales talent across crypto, fintech, and traditional financial services. You'll manage a full requisition load, move fast, and close strong candidates in a competitive market, with Account Executive roles among your key hires. You'll work closely with hiring managers across our enterprise and public sector sales teams, acting as a recruiting partner who understands the business and delivers results. IN THIS ROLE, YOU'LL: BUILD PIPELINE THROUGH OUTBOUND SOURCING - Own pipeline generation for go-to-market roles, with a heavy emphasis on proactive outbound sourcing to find and engage top sales talent - Map the competitive landscape across crypto, fintech, and traditional financial services to identify where strong Account Executives and quota-carrying sellers work today - Develop creative sourcing strategies that go beyond LinkedIn InMails, including referral generation, community engagement, and direct outreach campaigns - Maintain a high volume of outbound activity to keep pipeline ahead of hiring demand RUN FULL-CYCLE RECRUITING AT PACE - Own the full recruiting lifecycle for go-to-market roles, from intake and sourcing through offer negotiation and close - Manage a high-volume requisition load across enterprise and public sector go-to-market teams - Move candidates through the process efficiently while delivering a thoughtful, personalized, and transparent candidate experience at every step - Make data-driven decisions about pipeline health, conversion rates, and sourcing channel effectiveness to keep hiring on track PARTNER WITH HIRING MANAGERS AND THE BUSINESS - Build trusted relationships with sales leaders to develop a deep understanding of their teams, priorities, and what great looks like for each hire - Guide hiring managers through the recruiting process with clear communication, calibrated expectations, and market insights - Share competitive intelligence on talent availability, compensation benchmarks, and hiring trends across relevant markets - Provide regular pipeline updates and flag risks early so hiring plans stay on schedule CONTRIBUTE TO TALENT ACQUISITION AS A TEAM - Champion diversity and inclusion in every search, with intentional focus on engaging candidates from underrepresented backgrounds - Share sourcing wins, market learnings, and process improvements across the Talent Acquisition team - Identify opportunities to improve recruiting workflows, tools, and candidate experiences - Occasionally provide recruiting support for roles outside of go-to-market as priorities and bandwidth allow WE'RE LOOKING FOR CANDIDATES WHO HAVE: - 3+ years of full-cycle recruiting experience with a strong track record of hiring sales and go-to-market talent, specifically quota-carrying roles such as Account Executives, Sales Engineers, and Business Development Representatives - Demonstrated outbound sourcing ability: you build your own pipeline, generate candidate interest through direct outreach, and do not rely on inbound applications to fill roles - Proven track record of recruiting sales talent within the SaaS and Cybersecurity sectors, with a specific focus on candidates who have successfully sold complex solutions into the Fintech, Cryptocurrency, or Traditional Financial Services markets. - Comfort operating at high volume and managing multiple open requisitions simultaneously without dropping quality or candidate experience - Strong organizational skills with sharp attention to detail and consistent follow-through on every candidate and requisition - The ability to build credibility with hiring managers quickly, communicate market realities clearly, and guide decisions with data - A collaborative, low-ego approach to working on a small, close-knit Talent Acquisition team - Curiosity about our industry and genuine interest in learning the Chainalysis product suite and competitive landscape NICE TO HAVE: - Experience recruiting for public sector go-to-market roles (Federal, DoD/Intel) - Familiarity with government clearance requirements and their impact on candidate pools - Experience at a high-growth or pre-IPO technology company - Experience working with Ashby ATS and sourcing tools - Recruiting experience beyond core sales roles, such as professional services, solutions engineering, or customer success This role is ineligible for visa sponsorship. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Riga, Latvia Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE*, we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. About the Role As a Key Account Manager at Colibrix One , you’ll play a vital role in building strong, lasting relationships with merchants, collaborating across departments, and driving innovation through a deep understanding of client needs. This is a client-facing, strategic position ideal for someone who thrives in a fast-paced fintech environment and is passionate about delivering exceptional service. Key Responsibilities: Manage client onboarding, including gathering and conducting an initial review of documents To advise our customers regarding products and services To establish sustainable customer relations To maintain and update the client database Act as a single point of contact for the merchant and facilitate dialogue between them and the different departments in finance, compliance, and operations Anticipate client needs, and the challenges they face, and work with the internal team to develop action plans for addressing issues and ideas that drive innovation and best practices Your Profile: Passion for providing the best client experience Excellent communication skills, the ability to persuade and voice your opinion Dedicated, motivated, and confident personality is driven by personal achievements and accomplishments Previous experience in client-oriented role in the B2B sector Strategic and analytical thinking Ability to prioritize own workload and work with minimum supervision To be able to challenge established norms and proactively seek improvements and better solutions What You Need to Succeed in This Role: 1+ years’ experience preferably within a regulated entity in a similar role in a banking, payments Higher education: Business management, Economy, or other would be an advantage Experience working in a fast-paced environment Excellent written communication skills and ability to convey complex information in a clear, understandable way for the audience Fluency in English (proficiency in additional languages is considered an asset) What We Offer: Opportunity to shape the future of fintech solutions within a growing company A collaborative and supportive team environment English / Spanish classes Opportunity to receive reimbursement for work-related training/courses Salary Range: 2300 – 3200 EUR gross per month * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you. Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else. We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before. The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works. Responsibilities Teach in every format. Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems. Teach the teachers. Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material. Empower admins. Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics. Build fast with Claude. Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it. Bring field signal back to product. Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it. Be the technical voice in the room. Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads. Travel. Expect 30 to 50%, in bursts around onsites, workshops and events. You may be a good fit if you have 5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences. Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it. Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you. Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural. Care for people. You do right by a struggling customer, and you won't leave a confused room behind. Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's. Steadiness when priorities shift, timelines are short and colleagues are under pressure. Comfort with ambiguity in a fast-moving industry and product suite. A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it. You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next. Strong candidates may also have Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA). Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI. Time with regulated industries or with systems-integrator partners. A public record of technical teaching: talks, courses, videos or writing. An interest outside technology you can talk about with the same energy. 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: $250,000 — $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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're building Anthropic's search platform team to create scalable, efficient search capabilities that power Claude's ability to access and retrieve information. In this role, you'll design and implement core search systems from the ground up. Responsibilities: Work with a small, senior team of engineers and researchers to build Anthropic’s search platform from scratch Establish metrics and tooling to measure and improve search quality Enhance search algorithms and indexing mechanisms to boost search accuracy and efficiency You may be a good fit if you: 5+ years building complex distributed systems in production Solid grasp of search fundamentals: indexing, retrieval, ranking Strong coding skills in Python, Go, Java, or similar languages Hands-on experience with high-volume data processing architectures The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.