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Location: Warsaw, Poland; Limassol, Cyprus; Ta' Xbiex, Malta; Barcelona, Spain 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: * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

Location: Kraków, Poland; Warsaw, Poland; Vilnius, Lithuania; Lisbon, Portugal; Barcelona, Spain; Limassol, Cyprus 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. The Role As a Chargeback Specialist , you will manage the end-to-end card dispute process within an acquiring environment under Visa and Mastercard schemes. You will analyze transactions, prepare representments, and collaborate with banks and merchants to resolve disputes and improve win rates. The role also involves monitoring chargeback trends across a diverse merchant portfolio, supporting risk mitigation efforts, and ensuring compliance with scheme rules in a fast-paced fintech setting. Key Responsibilities Handle incoming chargebacks in accordance with Visa and Mastercard scheme rules Manage the full dispute lifecycle: first chargeback, representment, pre-arbitration, arbitration, and collaboration / pre-dispute cases Analyze transaction data to prepare compelling representments and supporting documentation Manage disputes across a diverse merchant portfolio spanning low - to high-risk profiles and varied business models, including one-off and recurring billing flows Tailor representment and dispute strategies to the merchant's risk profile and transaction model Monitor chargeback ratios across merchant activity and identify patterns or spikes that require further investigation Track merchant performance against scheme monitoring thresholds (Visa VAMP, Mastercard ECM/EFM) and flag emerging risk Leverage dispute prevention and deflection tools (Ethoca Alerts, Verifi Order Insight / CDRN, Visa RDR) to reduce dispute volume Collaborate with internal teams - Risk, Settlement, and Compliance Communicate with issuer banks, acquiring banks, processors, and merchants to resolve dispute-related queries Continuously evaluate dispute procedures and suggest improvements to increase win rates Work to strict scheme response deadlines and SLAs without compromising quality Stay up to date with scheme rules, regulatory updates, and industry best practices in dispute management Perform any other related duties or responsibilities as assigned What you need to succeed in this role Minimum 2 years of experience in dispute management, preferably within a PSP, EMI, or acquiring bank Hands-on experience managing chargebacks for merchants across the full risk spectrum, from low-risk to high-risk verticals Strong understanding of Visa and Mastercard scheme rules and the end-to-end dispute process Experience with dispute prevention / deflection tools (Ethoca, Verifi Order Insight / CDRN, RDR) is a strong advantage Awareness of scheme monitoring programs and thresholds (VAMP, ECM/EFM) and how dispute outcomes affect portfolio ratios High attention to detail with strong organizational and documentation skills Ability to analyze transaction flows, spot anomalies, and present findings clearly Comfortable working in a fast-paced environment and managing multiple cases simultaneously to strict deadlines Excellent written communication skills in a formal and professional style Strong problem-solving mindset and ability to work independently while remaining aligned with team goals and guidance Fluency in English and Russian (additional languages are considered a plus) Proficiency in Microsoft Office, with strong expertise in Excel highly desirable Higher education in banking or economics, and experience in a regulated financial environment, are considered a plus What We Offer Opportunity to shape the future of fintech solutions within a growing company Collaborative, horizontal team structure that values your expertise and ideas Continuous learning and development opportunities to enhance your skills and career growth Competitive salary and benefits package * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

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 Horizons The Horizons team leads Anthropic's reinforcement learning (RL) research and development, playing a critical role in advancing our AI systems. We've contributed to every Claude release, with significant impact on the autonomy, coding, and reasoning capabilities of Anthropic's models. About the role We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. For example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. You may be a good fit if you: Have experience in cybersecurity research. Have experience with machine learning. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Canada; Remote UK; Remote Italy Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. We are building the next generation of InfluxDB, a high-performance time series database. This includes columnar storage, a DataFusion-based query engine, and data transformation pipelines. This team works alongside our platform team to build a distributed, cloud-native database that is highly available and scalable. We are seeking a highly skilled senior engineer with strong experience in both a systems programming language and in distributed systems or database systems. Our team is 100% distributed and remote, and we are looking for someone who is comfortable working with fast-moving requirements and a high degree of autonomy. On-call is required for this role.   WHAT YOU'LL BE WORKING ON - Design and implement new features for InfluxDB 3. Current areas of ownership include Import/Export, Data Transformation Pipelines (the Processing Engine), and WebUI integration. - Debug and fix issues, including performance bottlenecks, memory leaks, and other production issues. - Work directly with the platform team to improve the operational aspects of InfluxDB 3, including monitoring, alerting, and observability. - Be part of a production on-call rotation, triaging and debugging issues as they arise. WHAT WE'RE LOOKING FOR - 8+ years of professional software experience - Deep knowledge of at least one of Rust, C++, or Go (Rust preferred) - Experience building high-throughput, low-latency systems in a distributed environment - Experience with high-availability, fault-tolerant systems - Proficiency in working closely with product managers, sales, and support to understand customer needs and translate them into technical requirements - Demonstrated the ability to use AI coding tools in day-to-day workflows. You can critique, validate, and refine AI-generated output IT'S A PLUS IF YOU HAVE - Experience with Python, the language for Processing Engine plugins - Experience with WebAssembly, our runtime for embedding the frontend in the database - Knowledge of consensus protocols and distributed databases Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

We need someone who turns operational pain into product solutions.

• To'lovga qobiliyatlilik, likvidlik va iqlim stress-testlarini tashkil etish. • Makroiqtisodiy ssenariylar va ekonometrik modellarni ishlab chiqishga rahbarlik qilish.

Location: Doha, Qatar We are looking to hire a Business Development Manager (BDM) with 5-10 years’ experience in sales of banking and payment solutions. The BDM must have worked with all renowned banks in Qatar and will be responsible for the sales cycle from cold calls to signing contracts to recurring maintenance. BDM will perform market analysis and will develop the relationships with the management and senior staff in the banking and Financial Service Industry. Responsibilities Achieve and enhance sales targets established by ProgressSoft. Prepare and execute a sales plan for Qatar's market which meets ProgressSoft’s Strategy and Business Plan. Manage the whole sales cycle, coordinating with Product Owners, Project Managers and Technical Team Leaders. Work with related ProgressSoft team to ensure proper engagement with customers and understanding their requirements. Cooperate with the Bidding Team to deliver documents and proposals which detail the Business Requirement and ProgressSoft competence. Negotiate proposals and contracts of solutions and recurring maintenance. Excessive use of ProgressSoft’s CRM to build and update client profiles. Analyze and prepare comparison sheets between ProgressSoft and competitive products. Identify new markets and opportunities. Develop strong distribution channels with renowned global, regional and local firms. Requirements Proven track record of sales in Qatar, In the banking and financial sector. Ability to deal with all levels of staff within an organization. Strong negotiation skills with decision makers. Excellent command of English language. Very good communication, presentation and interpersonal skills. Very good understanding of banking and payments systems. Organized, focused, ambitious and independent.

Задачи: — Разработка ИИ‑агентов и мультиагентной платформы: логика, взаимодействие и оркестрация. — Интеграция с LLM: подключение моделей, промпты и обработка ответов. — Разработка REST API для интеграции с системами и микросервисами. — Работа с БД: оптимизация SQL, миграции, индексирование и кеширование. — Асинхронная обработка: обработчики событий и очереди сообщений. — Развёртывание и CI/CD: Docker, Kubernetes, создание pipeline. Требования: — Коммерческий опыт разработки на Python (3.9+) от 4 лет. — Опыт создания ИИ‑агентов (LangChain, LangGraph, CrewAI). — Опыт работы в финансовом, корпоративном или высоконагруженном проекте. — Асинхронное программирование; asyncio, aiohttp. — Разработка REST API и микросервисов; FastAPI, Pydantic, Django, Flask. — Контейнеризация и работа с БД: Docker, основы Kubernetes, PostgreSQL, Redis, MongoDB. Будет плюсом: — Опыт создания и внедрения мультиагентных систем. — Работа с локальными LLM: Llama, Qwen, DeepSeek R1, Ollama, vLLM. — Fine‑Tuning моделей и опыт MLOps/DevOps. — Kafka, RabbitMQ, продвинутый SQL и оптимизация, GPU‑расчёты. Условия: — Конкурентная и прозрачная з/плата; обсуждается на собеседовании + квартальная премия. — Полная удалёнка или гибрид; офисы/ИТ‑хабы в нескольких городах. — ДМС с первого дня (включая стоматологию), страхование и компенсация больничных. — Поддержка обучения: конференции, курсы, внутренние тренинги и демо‑дни. — Оплата посещения профильных конференций и доступ к корпоративным библиотекам.

Задачи: — Администрирование баз данных Oracle, PostgreSQL и MS SQL. Требования: — Опыт работы в администрировании баз данных не менее 3 лет. — Уровень Middle+. Условия: — Работа в офисе по графику 5/2. — Возможности профессионального роста. — Льготные условия на банковские продукты. Локация: Бишкек, ул. Киевская, 104а.

Location: Limassol, Cyprus Spotware Systems is looking for a motivated Senior QA Engineer to join our highly-professional backend team in our Limassol office. The position requires collaborating with product managers and team members to meet strict deadlines. You will work closely with software developers regarding our product’s functionalities. You will be involved in functional testing, customer scenario testing, stress testing, performance testing, sanity testing and overall QA improvement process. Key responsibilities : Performing requirements analysis. Communicating with product managers and developers. Testing design. Ongoing manual/automate functional/non-functional testing. Performing bug tracking and reporting. Requirements : 4+ years of experience in Quality Assurance position (backend projects). 2+ years troubleshooting Java. Read and debug production Java to find the cause. Reading of Java is required. Real non-HTTP protocol testing: TCP, Protobuf, gRPC, FIX, or queues (RabbitMQ/Kafka). WebSocket alone doesn't count. Test design techniques (boundary value analysis, equivalence partitioning, state transition). Requirements analysis (impact, traceability, functional & non-functional). Challenge vague specs before implementation. SQL beyond SELECT - joins, verification queries. Linux CLI + log reading (ssh, grep/zgrep over rotated logs). AI in daily work - use it (e.g. Claude) for analysis and tests, validate against source, logs, measurements. No blind trust. Fluency in Russian and B1+ in English language. A plus to have: Java (or another language) test-automation coding - building/maintaining integration/E2E test frameworks. Performance testing (JMeter, VisualVM), Protobuf load profiles. PostgreSQL, Redis. Forex experience. Forex industry experience. Conditions: Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

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 are looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions Handle civil third-party subpoenas and preservation demands Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling Run and improve the law enforcement response process and tooling Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests Monitor legal developments in government access to user data and advise the team on their operational impact Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously Experience owning an intake, queue, or docketing process end to end,  including deciding what gets escalated and maintaining rigorous tracking Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies Experience building or scaling a law enforcement response process Experience managing legal intake process within a growing company Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $1 — $2 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future. Claude has already helped uncover a novel enzyme system , formalize Fermat’s Last Theorem , design more efficient quantum circuits , and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1. You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields. Key responsibilities Build products that unlock scientific discovery Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude Work closely with research to make models better at science and engineering Spend time with users in academia and industry to decide what to build next Own technical design and delivery end to end, shipping product quickly rather than just executing a spec Minimum qualifications Software engineering experience, including owning the technical design and delivery of products Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use Comfort working directly with technical domain experts and customers, and turning what you learn into product Enjoyment of solving hard problems together with researchers, scientists, and other engineers Preferred qualifications 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools Experience as a founder or early engineer at a company building tools for scientists or engineers Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE Compliance Controls & Monitoring (C&M) is OnePay’s second line of defense, responsible for establishing and overseeing the firm's compliance control environment. Distinct from independent Compliance Testing, C&M identifies and assesses regulatory risks, evaluates controls, and drives compliant product and operational outcomes across the product lifecycle. This role requires an experienced compliance professional who can independently evaluate complex regulatory matters, recommend practical solutions, and execute compliance oversight activities in a fast-paced, evolving financial services environment. What Makes This Role Different: OnePay is a growing company with a broad and evolving product set, and our regulatory landscape evolves alongside it. This role sits at the center of that growth. You'll assess new and changing products, apply regulatory requirements to situations that don't always have clear precedent, and help the business find compliant paths forward. Strong partnerships with Product, Legal, and Operations is a given, and your goal is to bring a clear, well-reasoned compliance perspective to that table. The best fit is someone who is energized by that kind of work: exercising sound judgment on complex questions, communicating risk clearly and constructively, and advocating independently for the right controls. You will: - Regulatory Advisory & Business Partnership: Build trusted relationships across Product, Operations, Engineering, Marketing, Legal, and Compliance. Independently evaluate business practices and controls against applicable regulatory requirements, provide practical compliance guidance, and confidently challenge potential noncompliance while influencing appropriate corrective actions. - Compliance Controls: Evaluate compliance control design and adequacy, identify gaps in regulatory coverage, and recommend and drive enhancements. Support control development, risk-to-control mapping, documentation, and maintenance of the centralized compliance control inventory within the firm's GRC platform. - Compliance Risk Assessment: Execute and maintain compliance risk assessments across products, processes, and regulatory requirements. Evaluate inherent risk, control coverage, and residual risk; recommend appropriate mitigation; and support implementation and ongoing maintenance of compliance risk assessment processes within the firm's GRC platform. - Execution & Continuous Improvement: Independently manage assigned compliance activities and initiatives through completion while balancing competing priorities and deadlines. Identify opportunities to improve processes, increase efficiency, and enhance operational effectiveness. - Change Management: Assess regulatory compliance implications of new or modified products, business processes, systems, and operational changes. Partner with stakeholders to evaluate control impacts and support appropriate compliance measures throughout implementation. YOU BRING - Mid Career (5-10 Years) with progressively responsible advisory experience within banking, fintech, or consumer financial services, with strong knowledge of applicable federal and state consumer financial protection laws and regulations. - Demonstrated ability to independently interpret regulatory requirements, provide credible challenge, and influence decisions across cross-functional stakeholders, including comfort making and defending well-reasoned judgment calls on nuanced questions and evolving regulatory guidance. - Hands-on experience conducting compliance risk assessments, evaluating control design and effectiveness, and working with risk registers or GRC platforms. - Strong critical thinking and communication skills, with the ability to explain regulatory risk clearly and constructively to business partners, and to advocate independently for the right controls. - Proven ability to manage competing priorities and drive work to completion with a high degree of ownership. - Experience in a fintech, startup, or similarly dynamic financial services environment preferred. - CRCM, CIA or equivalent certification preferred. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Brand Strategy Lead at Anthropic, you will own brand architecture and naming strategy across the Anthropic and Claude brands. Claude is becoming part of how people work, build, and discover, and how we organize and name what we make shapes how a broad, global audience of enterprise buyers, developers, researchers, policymakers, and the general public understands it and whether they trust it. This is a foundational role: you'll solidify this function at Anthropic, making the routine calls yourself and bringing the biggest decisions to senior leaders with a clear recommendation. In this role, you'll own all brand architecture and naming strategy work globally, from how the portfolio fits together as it grows to the names we ship, and you'll build the systems, structure, and processes other teams follow. In a single week, you might map part of the portfolio, generate names, and take multiple recommendations to senior leaders. This is a senior individual contributor role, so you'll scope the work yourself and set a roadmap a year out with minimal direction. You'll partner closely with Brand Design, Product and Brand Marketing, Product teams, IP Legal, and Comms to position new offerings and introduce them to the world. Key responsibilities Own all brand architecture strategy across Anthropic and Claude, including how brands, products, models, features, plans, and programs relate to one another Lead decisions on where new products, models, features, and programs sit in the portfolio, including when an offering extends an existing brand and when it needs its own, and when something earns a name versus a plain description Own the company's global naming strategy and all naming work from brief to launch, across products, features, events, and programs Develop names yourself, in volume, from descriptive to coined, and help teams and leaders pressure test them, running research when a decision needs it Build coherent brand architecture, naming, and terminology systems, including conventions, usage rules, and a source of truth, along with tools and training so teams can make routine calls on their own Manage intake and review, and get teams to come to us early, while there's still space to think, connect dots, and simplify Present brand architecture and naming decision docs to senior leaders, and advise them on the hard calls Track the portfolio over time, auditing and simplifying where it has grown complex Partner with IP Legal to evaluate options, plan around clearance risk, and take names through clearance Partner with Product and Brand Marketing to shape how new offerings are positioned, and ensure names work across global markets, including linguistic and cultural checks Lead alignment across Product, IP Legal, Brand Marketing, and Comms on where a new offering sits, what its name means, how to use it, and how to introduce it to the world Use Claude throughout the naming process, from generation to testing to governance Minimum qualifications Have deep expertise in brand architecture, including deciding where new products and programs sit in a complex and growing portfolio Have built or rebuilt the brand architecture of a multi-brand portfolio, including how a company brand and its product brands work together Can weigh branded house, endorsed, and house of brands models, and make a clear recommendation Are genuinely passionate about brand architecture and naming as a craft, and appreciate how it builds stronger, more coherent brands and audience understanding Know the range of naming strategies, from descriptive to coined, and have personally generated and shipped names across products, features, events, and programs Have created systems and processes that codify brand architecture or names, such as nomenclature frameworks, conventions, databases, and governance, that teams at a company or client adopted Have worked with trademark counsel and can plan around clearance risk Write clear docs that get decisions made, and have scoped and led cross-company work with minimal direction Can teach senior leaders why brand strategies and systems should matter to them, defend a system with conviction, and know when an exception is worth making Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Led brand architecture or naming in-house, at a specialty branding agency, or at a consultancy Restructured a brand portfolio through rapid growth or major change Experience with AI products, models, or programs, or with technology companies more broadly Led naming across global markets, including linguistic and cultural checks Worked across both consumer and enterprise brands Designed qualitative or quantitative brand architecture or naming research, or managed naming, verbal identity, or research partners A background in linguistics, copywriting, or verbal identity, and experience using AI tools in creative work The ability to learn new, often technical, domains well enough to position, name, and brand them 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: $255,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Support Operations team at Anthropic is dedicated to optimizing and scaling the Product Support function to deliver exceptional user experiences. As a Support Operations Specialist focusing on Learning and Education, you will be one of the first members of our Learning & Education function, helping own the programs that develop and grow the Product Support team's capabilities. This includes maintaining and evolving our existing onboarding program for new team members, program managing continuing education initiatives (such as "booster" trainings on complex topics or areas needing reinforcement), and partnering on enablement around product releases. You'll also work closely with the broader Product Support team on our internal knowledge management strategy, ensuring our team has the expertise to handle any question that comes their way. Responsibilities: Maintain and continuously improve the onboarding program for new Product Support team members, keeping content current as our products and team evolve and adapting the program based on new-hire feedback and outcomes Program manage continuing education initiatives, including identifying training needs, developing curriculum, and measuring effectiveness Partner on release enablement efforts, ensuring the Support team has the resources and knowledge to support new products and features Co-own our internal knowledge management strategy, ensuring our team can efficiently access and contribute to shared expertise Build feedback loops to understand where the team needs additional support or training You might be a good fit if you: Have 4+ years of experience in learning & development, enablement, support operations, or similar roles in a technology company Demonstrate a data-driven approach, using metrics and insights to continuously improve programs and measure training effectiveness Possess strong communication skills with the ability to distill complex technical concepts into engaging learning experiences Excel at cross-functional collaboration, particularly with Product, Engineering, and Support teams Are proactive and solutions-oriented, with excellent program management abilities Are comfortable joining a small, growing team early, building on existing programs and helping shape how the function operates Thrive in a fast-paced environment and can adapt quickly to evolving products and priorities Have a passion for AI technology and helping others build their expertise Strong candidates may also have: Background in instructional design or adult learning principles Experience scaling or evolving onboarding or L&D programs as a team grows Experience with support or customer-facing teams specifically 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: $165,000 — $210,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Strategic Partner Development, Product Partnerships, to manage our product partnerships and integrations with a wide range of content providers, improving Anthropic’s products.  In this role, you will be responsible for prospecting, researching, negotiating, and closing deals with a wide variety of content providers necessary to build and maintain Anthropic’s product portfolio.  A background in product partnerships at a major tech company will be very beneficial in this role, as is comfort in working at a fast-paced start-up environment. Responsibilities Product Partnerships Deal Pipeline Management: Working closely with Product & Research teams, proactively identify and pursue potential product partnership opportunities through product and customer insights, market research, industry networking, and strategic outreach. Build and maintain a robust pipeline of prospective product partnerships, tracking leads, and managing the deal flow process from initial contact to closure. Conduct thorough due diligence on potential partners, assessing their strategic fit, content offerings, and potential value to Anthropic. Deal Negotiation and Structuring: Lead negotiations with product partners, crafting mutually beneficial agreements that align with Anthropic's business objectives and legal requirements. Collaborate closely with Legal, Product, Engineering, Research, and Finance teams to structure deals that balance risk, product impact, and operational feasibility. Develop comprehensive deal models, product ROI, and cost structures to support effective decision-making. Partner Management and Relationship Building: Cultivate and maintain strong relationships with existing product partners, acting as the primary point of contact and ensuring ongoing satisfaction and alignment with partnership goals. Manage partner communications, addressing concerns, and facilitating seamless collaboration between partners and cross-functional teams at Anthropic. Continuously explore opportunities to expand and deepen partnerships, identifying new opportunities for collaboration areas that create value for both parties. You may be a good fit if you Contribute to the development of product strategies involving third parties, ensuring that partners align with Anthropic's overall product roadmap and long-term vision Provide strategic guidance on specific kinds of product partnerships to enhance the value proposition of Anthropic's products and services Conduct ongoing market research and competitive analyses to stay ahead of industry trends, including emerging product partnership models. Prepare regular reports and presentations for executive leadership, highlighting partnership performance, challenges, and recommendations for improvement or expansion. Foster strong working relationships with Legal, Product, Engineering, Research, and Finance teams, ensuring effective communication, alignment, and collaboration throughout the partnership lifecycle. Strong candidates may also Represent the Product Partnerships unit in cross-functional meetings and discussions, advocating for partnership interests and ensuring alignment with broader organizational goals. Leverage data and insights to inform product partnership strategies, continually optimizing approaches to maximize value and impact. Leverage the expertise and support of cross-functional teams to navigate complex partnerships, address challenges, and drive successful outcomes. 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: $205,000 — $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a talented and driven Recruiter to partner with our Go-To-Market teams. In this role, you'll help build the teams that bring safe, frontier AI to the organizations that depend on it, spanning Sales, Partnerships, Public Sector, and Beneficial Deployments. GTM is one of the fastest-growing parts of Anthropic, and the market for this talent is competitive and fast-moving. The people we hire need an unusual combination of commercial ability and genuine domain depth. You'll own full-cycle recruiting for a portfolio of GTM roles, act as a strategic partner and trusted advisor to hiring managers and leaders, and help shape how we assess commercial talent as we scale. You'll develop a real understanding of each hiring manager's goals, the markets they serve, and the profiles that succeed against them. Many of the roles you support will be new or evolving, and you'll have significant influence over interview loops, calibration practices, sourcing strategy, and how we talk about this work to candidates who have options. You'll also be one of the people candidates remember. For many, you'll be their first real window into what it's like to work here. This is an individual contributor role with meaningful autonomy. We expect you to run your searches independently, make judgment calls without waiting for direction, and be the person your hiring managers turn to first on anything talent-related. It's a strong fit for someone who is energized by a high bar, comfortable operating in ambiguity, and genuinely interested in the mission our GTM teams are selling. Key responsibilities Own full-cycle recruiting for GTM roles, from intake through offer and close, with a strong emphasis on candidate experience and stakeholder partnership Build and maintain strategic relationships with hiring managers and leaders, serving as their primary partner on hiring and translating their goals into calibrated role requirements, must-have skills, and assessment criteria Become an expert in the markets our GTM teams serve, understanding where the talent sits, what motivates it, and what distinguishes a strong candidate from a plausible one Build and execute sourcing strategies for competitive, specialized commercial talent, including targeted outreach campaigns, market mapping, and cultivating talent pools that don't yet exist as pipelines Advise GTM leaders on talent market conditions, compensation dynamics, pipeline health, and realistic timelines, including when a search needs to be reframed Design and refine interview loops, intake practices, and assessment approaches for roles that are new or evolving, partnering with hiring managers to define what "good" looks like before the first candidate enters the process Maintain an inclusive and consistent process, using structured interviews and calibrated criteria that reduce the influence of bias on hiring decisions Partner with Recruiting Operations to use pipeline data and metrics to diagnose bottlenecks and inform resourcing decisions, process improvements, and candidate experience Serve as a thought partner to hiring managers on organizational design questions, including what a team actually needs, how roles should be scoped, and where a hire will and won't solve the problem Represent Anthropic's mission, culture, and approach to AI safety authentically to commercial candidates You May Be a Good Fit If You Have 5+ years of full-cycle recruiting experience, including sourcing, assessing, and closing candidates, ideally with time in a high-growth technology company Have recruited for commercial or Go-To-Market functions such as Sales, Customer Success, Solutions Architecture, Partnerships, or Marketing Have a demonstrated ability to partner with and influence hiring managers and senior stakeholders, including pushing back when a search is mis-scoped Have strong written and verbal communication skills, including a knack for writing outreach that specialized candidates actually respond to Are able to use pipeline data to diagnose problems and inform decisions Are proficient with an applicant tracking system and sourcing tools such as LinkedIn Recruiter Can manage competing priorities and operate with autonomy in a fast-changing environment Have a passion for AI's potential to positively impact the world, along with a realistic assessment of its risks and limitations Bring an enthusiastic "roll up your sleeves" mentality and are a true team player Strong Candidates May Also Have recruited in a market where the talent you need is scarce, expensive, and heavily courted, and have found creative ways to win Have experience with Greenhouse and with structured interviewing practices Be open to non-traditional talent strategies, and enjoy working with hiring managers who are willing to experiment Have supported technical GTM roles such as Solutions Architects or Forward Deployed Engineers, and can hold a credible conversation about technical scope Have experience building or scaling a recruiting function, process, or interview loop from an early stage Have a track record of building high-performing teams in a rapidly scaling environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. MinIO is looking for a hands-on technologist who likes building things and explaining how they work. You don't need a curriculum background; we'll teach you that. You will'll turn AIStor, across objects, tables, files, and agent memory, into labs, videos, and self-paced courses for a wide range of technical audiences: data engineers, developers building agents, AI infrastructure engineers accelerating performance with MemKV, storage administrators, and the partner and internal solution architects who support them. Most of your teaching will be recorded, with live sessions about once a month. This role has real variety. On any given week, you might be building a hands-on lab, standing up an agent memory demo, recording a training video, turning engineering documentation into a teachable module for partners, or adapting a core course for a specific customer deployment. You enjoy that variety. You're as comfortable in front of a camera as you are at a command line. You will collaborate closely with engineering and product marketing. You welcome the freedom and opportunity of being part of a startup and have the self-discipline to identify needs and get things done without waiting to be asked. You will be encouraged to help shape the strategy that the MinIO team executes. Experience in a solutions architect or other customer-facing technical role is a strong plus — it helps you understand how customers deploy and operate storage in production and how to make training land in that context. Experience with competitive software-defined storage platforms is also a plus. Strong oral and written communication skills are essential. What You Will Do Build and maintain courses for AIStor administrators and operators, covering installation, configuration, management, and troubleshooting, and keep them current as the product changes Build curriculum for AIStor Memory and agentic AI use cases, turning orchestration and memory concepts (context assembly, agent state, retrieval) into practical, hands-on training Turn engineering documentation and demos into training modules for partners Adapt core courses for specific customer deployments and industries Build hands-on lab environments with Terraform, Ansible, and Docker, and test them end to end before release Write course content as code: Markdown in git and GitHub, with branches and pull request review Record and edit short demo and training videos for MinIO Academy, YouTube, and LinkedIn Deliver live and recorded training sessions for internal teams and partners Use approved AI tools such as Claude Code to speed up authoring, testing, and review Your Skills and Experience Working proficiency in Linux Demonstrated ability to turn engineering material (documentation, specs, demos) into teachable content 5+ years in a solutions architect or equivalent customer-facing technical role 3+ years of experience with software-defined storage, cloud storage, or Kubernetes; hands-on experience with MinIO or competitive platforms (Vast, Cloudian, Weka) is a plus 1+ years of experience with agentic AI infrastructure (e.g., agent memory/orchestration platforms such as LangChain/LangGraph, Mem0, Letta, AWS Bedrock AgentCore, Google Vertex AI Memory Bank) or memory/vector infrastructure (Pinecone, Weaviate, Redis) Experience teaching live and on camera Comfort with Terraform, Ansible, Docker, Python, and related tooling 1+ years building and maintaining workflows in git and GitHub Experience with AI-assisted development tools such as Claude Code Previous experience with curriculum development or formal training delivery What We Offer Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.