Вакансии

Role Overview The Strategic WFM Analyst sits in the Core Workforce Management (WFM) Planning & Operations Strategy team and is responsible for owning centralized forecasting, capacity planning, workforce cost optimization, and strategic headcount trade-offs across all lines of business (LOBs). This role is a high-judgment governance function that moves beyond traditional scheduling and intraday monitoring. It translates complex demand forecasts into defensible FTE, BPO, and overtime spend strategies, models capacity risks, and aligns executive stakeholders across Finance, Product, and Operations. You should be exceptionally strong in WFM maths and financial analytics, exhibit deep strategic curiosity, navigate messy raw data effortlessly, and communicate recommendations with executive-level clarity. What You'll Do: — Translate multi-LOB demand forecasts into monthly and quarterly capacity, headcount, and budget requirements. — Model workforce and financial trade-offs across internal FTEs, BPO partners, overtime spend, bonus hours, productivity shifts, and shrinkage. — Analyze demand-funnel changes (e.g., product feature rollouts, AI bot deflection shifts) and quantify their exact capacity and dollar impact. — Partner directly with Finance, Product, and Operations to validate baseline assumptions, enforce input SLAs, and align on staffing commitments. — Draft concise, decision-ready executive memos and Weekly Business Reviews (WBRs) for Directors and leadership. — Conduct deep-dive root-cause analyses whenever operational actuals deviate from capacity plans, and establish corrective action paths. — Standardize capacity planning frameworks, modeling templates, and operating standards across LOBs. — Maintain deep forecasting competency to audit models, challenge underlying assumptions, and provide seamless coverage across the broader central WFM engine. What We're Looking For: — Strategic WFM Maths: Exceptionally strong quantitative background with deep expertise in WFM fundamentals (capacity modelling, Erlang, shrinkage, AHT, SLA/ASA trade-offs) and advanced proficiency in Google Sheets, SQL, or Python. — Business & Financial Judgement: Demonstrated ability to connect operational queue dynamics directly to dollar exposure, hiring velocity, BPO costs, and SLA risk. — Executive Communication: Superior strategic writing skills with a natural instinct to distil complex, multi-variable workforce analytics into scannable, 1-2 page decision memos. — Cross-Functional Influence: Proven ability to establish governance frameworks, challenge bad assumptions with back-tested data, and align Finance, Product, and Operations leadership without formal authority. — Blank-Page Ownership: High comfort operating in ambiguous environments with incomplete data, isolating what materially matters without requiring step-by-step direction. WFM Analyst Profile: Strong core WFM domain expertise with a strategic/Ops spike. This is not a generalist role and not a passive, traditional scheduler role. Hiring Process: Application Diagnostic Case Study Case Study Interview - Technical & Capacity Executive Judgement & Strategic Interview Culture Interview (People Ops) Offer

Location: Dhahran, Saudi Arabia; Riyadh, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates We are seeking an experienced Lead Digital Solutions Analyst to support advanced AI technology initiatives and contribute to the development of next-generation AI solutions. The successful candidate will work on AI modules, scalable data pipelines, backend infrastructure, and real-time data processing systems, supporting the development of Large Language Models (LLMs), Large Time-Series Models, and Large Vision Models. Key Responsibilities Develop and implement AI modules, pipelines, solutions, and services for advanced AI technologies. Design and develop scalable backend infrastructure to support real-time data ingestion, AI model inference, and user access. Build real-time data processing components using event-driven architecture. Apply microservices and agentic AI architectures to support scalability and flexible system development. Develop data pipelines for data preprocessing, normalization, labelling, transformation, feature engineering, and storage. Support research and development initiatives for sovereign AI technologies, including Large Language Models, Large Time-Series Models, and Large Vision Models. Collaborate with cross-functional teams to develop, integrate, and optimize AI-driven solutions. Requirements Bachelor's degree in Graphic Design or an equivalent qualification, as specified for the position. Minimum 10 years of relevant professional experience in graphic design, data science, AI technologies, or a related field. Experience in AI solution development, data pipelines, or AI technology implementation. Knowledge of backend infrastructure, real-time data processing, and event-driven architectures. Familiarity with microservices, agentic AI architectures, and scalable AI applications. Understanding of data preprocessing, transformation, feature engineering, and data storage. Exposure to Large Language Models, time-series models, or computer vision technologies is an advantage. Strong analytical, problem-solving, and collaboration skills.

Location: Dhahran, Saudi Arabia We are seeking an experienced Enterprise Architect to define, develop, and govern the enterprise architecture strategy, frameworks, standards, and roadmaps, ensuring alignment between business objectives, technology capabilities, and organizational priorities. The role will drive enterprise-wide architecture across computing and cloud platforms, communications and network infrastructure, data and artificial intelligence, cybersecurity, and business architecture. The successful candidate will provide architectural leadership, establish target-state architectures and reference designs, and ensure that enterprise solutions are scalable, secure, resilient, compliant, and aligned with the organization’s strategic goals. Key Responsibilities Define and maintain enterprise architecture frameworks, principles, standards, reference architectures, and technology roadmaps aligned with business strategy. Lead the design and evolution of enterprise technology architectures covering on-premises infrastructure, private and public cloud, high-performance computing (HPC), AI infrastructure, and enterprise platforms. Develop communications architecture across data networks, transmission networks, and satellite communications. Establish enterprise data architecture and governance frameworks, enabling trusted analytics, artificial intelligence, machine learning, and MLOps capabilities. Define and govern cybersecurity architecture to ensure the protection of enterprise systems, infrastructure, applications, and data in accordance with applicable security controls and standards. Translate business strategy, operating models, and business processes into architecture artifacts that support enterprise transformation and technology alignment. Provide architectural assurance and governance for major programs, projects, and technology solutions, ensuring compliance with approved standards and design principles. Identify technology opportunities, assess emerging technologies, and recommend solutions that enhance operational efficiency, scalability, resilience, security, and business value. Collaborate with business stakeholders, technology teams, cybersecurity specialists, and program leaders to ensure cohesive, integrated enterprise solutions. Maintain architecture documentation, identify capability gaps, and develop transition roadmaps to support the organization’s target-state architecture. Qualifications and Experience Bachelor’s degree in Computer Engineering, Computer Science, Business Management, or a related discipline; a Master’s degree is preferred. 10 to 15+ years of relevant professional experience in enterprise architecture, technology architecture, infrastructure, communications, data and AI, cybersecurity, or business architecture. Demonstrated experience developing enterprise architecture strategies, target-state designs, standards, governance frameworks, and implementation roadmaps. Strong understanding of enterprise technology environments, business capabilities, architecture governance, and technology-to-business alignment. Proven ability to lead cross-functional architecture initiatives and engage effectively with senior stakeholders. Excellent analytical, strategic planning, communication, and stakeholder management skills.

Задачи: — Разрабатывать программное обеспечение для сбора, обработки и анализа данных. — Участвовать в проектировании архитектуры и компонентов ПО, выборе инструментов и технологий. — Писать, отлаживать и оптимизировать программный код. — Разрабатывать новые функции стека и внедрять их на различные аппаратные платформы. — Участвовать в демонстрационных и приёмо-сдаточных мероприятиях создаваемых решений. — Составлять техническую документацию к разработанному ПО. — Содействовать решению проблем при эксплуатации разработанного ПО в рамках своих компетенций. — Использовать современные инструменты разработки, управления версиями, развёртывания ПО и проведения экспериментов для обеспечения согласованности и сохранности результатов работы. Требования: — Высшее техническое образование. — Уверенное владение Python, опыт коммерческой разработки. — Работа с PostgreSQL (написание запросов, оптимизация, миграции). — Опыт работы с объектными S3-хранилищами (загрузка, выгрузка, управление доступом). — Работа с RabbitMQ (публикация/подписка, обработка сообщений, гарантии доставки). — Понимание принципов работы LLM-агентов и умение строить их с помощью LangChain, LangGraph, ADK и других фреймворков. — Опыт работы с распределёнными системами (масштабирование, отказоустойчивость, согласованность). — Знание алгоритмов и структур данных, принципов разработки ПО, гибких методологий, систем контроля версий (Git) и контейнеризации (Docker). — Понимание принципов и способов интеграции больших языковых моделей в промышленные системы. — Знакомство с протоколом MCP (Model Context Protocol) и опыт его применения (преимущество, но рассматриваются кандидаты, готовые быстро освоить). Будет плюсом: — Опыт работы с векторными БД (Qdrant, Weaviate, Milvus и др.). — Знание Redis. — Опыт работы с графовыми БД (Neo4j и др.). — Знакомство с Grafana (мониторинг и визуализация метрик). — Понимание принципов CI/CD (GitLab CI, Jenkins и др.). — Умение сделать простой фронтенд (HTML/CSS/JS, React/Vue — базовый уровень). Условия: — Конкурентный уровень заработной платы. — Расширенная программа ДМС (большой выбор клиник, включая стоматологию). — Социальная поддержка (выплаты при рождении ребенка, консультации корпоративного психолога). — Возможность бронирования. — Современный кампус с собственной парковкой. — Гибкое начало рабочего дня (по согласованию с руководителем). — Предоставление других льгот и доступ к разнообразным партнерским программам в соответствии с внутренними правилами. — Хорошая транспортная доступность (МЦД-1 до ИЦ Сколково, транспорт от станций метро Славянский бульвар, Тропарево, Кутузовская, Молодежная, Солнечная, Филевский парк).

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Our ML and analytics teams already work on fraud detection and risk analysis. This role owns the backend that turns their signals into reliable protections across accounts, credits, payments, and generation. You'll integrate risk checks into product flows, build enforcement services and operator tools, and make sure controls work correctly in production. We're looking for an engineer we can trust to take a backend problem from an unclear starting point to a working solution. What you'll actually do - Risk integrations: connect existing ML scores and risk signals to account creation, credit usage, payments, and generation flows, with clear timeouts and fallback behavior. - Enforcement services: implement configurable rules, rate limits, account restrictions, and credit or payment controls with consistent behavior across services. - Operator tooling: build APIs and workflows for reviewing cases, inspecting decision history, and safely applying or reversing restrictions. - Production reliability: handle retries, duplicate events, concurrent requests, and safe rollouts; add monitoring and audit trails so failures can be traced and fixed. - Work in other teams’ codebases to add signals or interventions without hurting their stability or architecture. - Ownership: clarify the control with ML, analytics, and operations → scope the smallest useful implementation → ship → verify production behavior and review impact with the team. Our release cycle is days, not quarters, so your first shipped protection happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable backend services: APIs, data models, queues, transactions, idempotency, and concurrency. You can integrate external services and debug failures across the request and event lifecycle. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You work with ML, analytics, and operations to turn risk requirements into clear backend behavior. You use operator feedback and customer cases to improve controls and learn unfamiliar systems quickly. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer problems where requirements stay stable after launch. - You prefer work centered on training models or producing analysis rather than building and operating backend services. Nice to have - Fraud prevention, payments risk, or platform abuse experience. - Integrating risk-scoring services or building rules engines and rate limiters. - Case management, appeals, and risk operations tooling. - Familiarity with Stripe. - Experience building real-time scoring, graph-based account linkage systems. - Python/Go experience. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: take an existing risk signal and an operator need, scope a backend protection, and work through failure cases and effects on legitimate customers. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of protections that preserve both company revenue and customer trust.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists An agent needs more than a model response to complete useful work. It needs tools, durable execution, permissions, context, and a way to recover when something fails. You'll build the backend that lets Higgsfield agents carry creative tasks from a user's request to a finished result. We're looking for an engineer we can trust with a problem: work out what is worth building, build it, and carry it through to users. What you'll actually do - Agent execution: build orchestration for multi-step tasks, tool calls, streaming updates, and cancellation. - Durable workflows: implement checkpoints, resumability, retries, and recovery without duplicating actions. - Tools and integrations: connect agents to generation, editing, and external services through clear, validated interfaces. - Execution boundaries: enforce user permissions, tenant isolation, resource limits, and approval requirements for consequential actions. - Evaluation and observability: trace failures, build regression cases, and improve task completion, latency, and cost. - Ownership: understand a real user task → define success and build evaluation cases → scope the simplest useful workflow → ship → measure completion, reliability, and dollar impact → improve from failed runs. Our release cycle is days, not quarters, so your first shipped agent capability happens fast. Must-haves 1. You've taken a difficult problem from an unclear starting point to a working system used in production, and can explain your own decisions, contribution, and results. 2. You can build reliable agent execution: state machines, concurrency, queues, recovery, model APIs, secure tool calls, and repeatable evaluations. You learn unfamiliar tools quickly and understand what you ship. 3. You choose the next steps, remove blockers, and ask for help when needed. You cut scope to test an idea, adapt from evidence, and keep working through difficult problems. 4. You investigate real user tasks and failed agent runs, use feedback to choose what to automate, and stop workflows that do not help users finish their work. 5. You take feedback, change your mind when the evidence changes, and do the work the team needs. You share knowledge and responsibility so others can operate and extend what you build. Who this is not for - You prefer deterministic application behavior without investigating model uncertainty. - You prefer prototyping without owning evaluation, recovery, and production reliability. Nice to have - Production agents, workflow engines, or developer tools. - High-throughput systems with heavy traffic, large data volumes, or many long-running jobs. - Agent context management, memory, subagents, or parallel tool calls. - Sandboxed execution and scoped authorization. - Multimodal workflows involving images, video, or audio. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: scope a useful tool-using workflow, evaluate failures, and explain when user feedback would lead you to change or stop it. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of systems that turn AI capabilities into completed creative work.

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Trust & Safety Engineering Why this role exists Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production. What you'll actually do - Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows. - Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature. - Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort. - Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability. - Define success metrics, build dashboards and alerts, and track adoption and system health after launch. Must-haves 1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes. 2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging. 3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results. 4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces. 5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits. 6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments. 7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you. 8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work. 9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours. Our tech stack - Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend). - Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse. - Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers. - AWS: S3, DynamoDB, ECR, and Secrets Manager. - Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions. - Observability: Prometheus, Grafana, OpenTelemetry, and Sentry. Interview process 1. Recruiter screen: role expectations, logistics, and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions. 4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution. 5. Offer. What we offer Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.

Who We Are: At Yuno, we build payment infrastructure enabling companies to participate in the global market. Founded by experts from payments and tech industries, our technology provides access to leading payment capabilities, allowing companies to engage customers confidently and maintain global operations through seamless integrations. We empower teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. Using advanced AI and latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries. About The Role: We seek a Technical Account Manager to own and elevate Yuno's technical customer relationships across Latin America. This leadership role requires deep technical expertise, team inspiration, customer trust-building, and driving impactful outcomes. You will be the senior technical voice for strategic accounts in the region and set standards for technical partnership at Yuno. Daily, you will lead a team of TAMs while addressing complex customer challenges. LATAM is a fast-growing payment ecosystem with unique local nuances and high-stakes integrations, rewarding precision and resilience under pressure. This role is central to Yuno's cross-functional engine, collaborating closely with Product, Development, Sales, and Partnerships teams to translate customer insights into improvements and ensure internal teams have necessary context. You will define best practices, scale the TAM function, and ensure quality and reliability in integrations. Your contribution will be: — Serve as senior technical contact for strategic accounts, managing escalations and resolving complex integration challenges — Lead high-level discussions with customer leadership on technical strategy, product trade-offs, incident management, and risk mitigation — Define and implement best practices for technical onboarding, integration delivery, and account health monitoring — Build deep knowledge of customers' business models, technical stacks, and operational needs to unlock value proactively — Partner with developers and senior engineers to provide strategic technical guidance and support solution design — Collaborate with Product and Development teams to customize platform capabilities and feed customer insights into the roadmap — Work cross-functionally with Sales, Partnerships, and Finance to support account retention and regional growth — Monitor integration progress and ramp-up milestones across the team, ensuring consistent and high-quality delivery — Champion the LATAM customer base internally, bringing regional intelligence into Yuno's strategic conversations Skills You Need: Minimum Qualifications: — Fluency in English and Portuguese is a plus; Spanish is a plus — 5+ years experience in technical account management or integration engineering, preferably in fintech or payments — Proven track record of leading or mentoring technical teams — Strong understanding of RESTful APIs, SOAP, JSON, XML, and API management tools such as Postman, SoapUI, or Swagger — Proficiency in web fundamentals: HTML, CSS, JavaScript, RESTful APIs, and modern frameworks — Hands-on experience in at least one server-side language: Golang, Python, Node.js, or equivalent — Familiarity with server and database technologies including Apache, Nginx, MySQL, Oracle, PostgreSQL, MongoDB, or similar — Strong analytical, problem-solving, and project management skills — Excellent organizational skills managing multiple accounts, team priorities, and concurrent projects — Clear and compelling communication with technical and non-technical stakeholders at all seniority levels — Experience with ticketing systems is a plus What We Offer at Yuno: — Competitive Compensation — Remote Work – work from anywhere — Home Office Bonus – one-time allowance for home office setup — Work Equipment — Stock Options — Health Plan wherever you are — Flexible Days Off

Own the value plan for each account in your portfolio, connecting the business problem that led the customer to buy Mixpanel with the outcomes they measure. Build relationships with business and technical stakeholders, aligning Mixpanel's capabilities to what customers care about most.

Location: United States; Charlotte; Chicago; Seattle; Austin; Atlanta; New York; Boston; San Francisco Workplace: Remote ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Senior Product Manager for Billing and Marketplaces, you will own a key area of that work and report to the Director of Product Management, Billing and Marketplaces. YOU WILL: - Own the roadmap, execution, and launches for a key area of billing or marketplaces (for example metering and pricing, prepaid commit, or a cloud marketplace), working alongside engineering leads, Finance, and Sales Ops. - Scope features with engineering, turn them into a clear near-term roadmap, and track them through to launch. - Improve our prepaid commit capabilities, including customer-specific rate cards, contract changes and rollovers, customer-facing balance visibility, and spend alerts. - Drive our cloud marketplace integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Improve payment and collections flows, including dunning and delinquency handling, so customers are billed accurately and service is not interrupted by avoidable billing issues. - Lead billing launches for new products and pricing models in partnership with Product Marketing, Sales, and Support. - Serve as a subject matter expert on how customers are billed across the company. YOU BRING: - 7+ years of product management experience, including 3+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Solid understanding of usage-based pricing, prepaid credits, and committed spend contracts, and how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, and metering APIs. - Familiarity with payments across card, invoice, and marketplace channels, including dunning and delinquency flows. - Working knowledge of order-to-cash, including invoicing, tax, multi-currency, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of independently leading complex projects across engineering, Finance, and go-to-market teams, from scoping through launch. - Strong written and verbal communication, including presenting trade-offs to product and engineering leadership and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Europe; Portugal; France; United Kingdom; Italy; Israel; The Netherlands Workplace: Hybrid ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Senior Product Manager for Billing and Marketplaces, you will own a key area of that work and report to the Director of Product Management, Billing and Marketplaces. YOU WILL: - Own the roadmap, execution, and launches for a key area of billing or marketplaces (for example metering and pricing, prepaid commit, or a cloud marketplace), working alongside engineering leads, Finance, and Sales Ops. - Scope features with engineering, turn them into a clear near-term roadmap, and track them through to launch. - Improve our prepaid commit capabilities, including customer-specific rate cards, contract changes and rollovers, customer-facing balance visibility, and spend alerts. - Drive our cloud marketplace integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Improve payment and collections flows, including dunning and delinquency handling, so customers are billed accurately and service is not interrupted by avoidable billing issues. - Lead billing launches for new products and pricing models in partnership with Product Marketing, Sales, and Support. - Serve as a subject matter expert on how customers are billed across the company. YOU BRING: - 7+ years of product management experience, including 3+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Solid understanding of usage-based pricing, prepaid credits, and committed spend contracts, and how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, and metering APIs. - Familiarity with payments across card, invoice, and marketplace channels, including dunning and delinquency flows. - Working knowledge of order-to-cash, including invoicing, tax, multi-currency, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of independently leading complex projects across engineering, Finance, and go-to-market teams, from scoping through launch. - Strong written and verbal communication, including presenting trade-offs to product and engineering leadership and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Europe; Portugal; France; United Kingdom; Spain; Israel; The Netherlands Workplace: Hybrid ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Principal Product Manager for Billing and Marketplaces, you will lead that work and report to the Director of Product Management, Billing and Marketplaces. WHAT YOU WILL DO: - Own the multi-year vision, strategy, and roadmap for billing, from usage metering through invoicing, payments, and revenue recognition, working alongside the product managers and engineering leads of our metering and pricing, billing platform, and payments teams. - Evolve our metering and pricing foundation into a single metrics pipeline that new products can reuse, where the same metric can be priced differently by product and tier, and only net-new metrics need code changes. - Evolve our prepaid commit capabilities, with flexibility for customer-specific rate cards or metric-level discounts, contract changes and rollovers, and customer-facing balance visibility and spend alerts. - Own our cloud marketplace strategy and integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Lead the evaluation of billing architecture, from build versus buy decisions and POCs through migration plans and a clear recommendation to senior leadership. - Give Finance, Data, and Sales Ops systems they can trust, including ERP and revenue recognition sync, period close, audit controls, and SOX and SOC 2 readiness. - Partner with product teams, Product Marketing, Sales, and Support to launch billing for new products and pricing models, and serve as the company's subject matter expert on how customers are billed. - Mentor other product managers and help build the team. ABOUT YOU: - 10+ years of product management experience, including 5+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Deep expertise in usage-based pricing, prepaid credits, and committed spend contracts, and in how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, entitlements, metering APIs, and disbursements. - Familiarity with payments across card, invoice, marketplace, and partner channels, including dunning and delinquency flows, fraud detection, and payment notifications. - Strong understanding of order-to-cash, including invoicing, payment processing, tax, multi-currency, ERP integration, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of designing and maturing a product area from v1 and leading complex programs across engineering, Finance, and go-to-market teams. - Excellent written and verbal communication, including presenting trade-offs to executives and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. - Speaking or published thought leadership on usage-based pricing, billing, or cloud marketplaces. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States; Charlotte; Chicago; Seattle; Austin; Atlanta; New York; Boston; Columbus; San Francisco; Dallas Workplace: Remote ClickHouse Cloud, the fully managed version of the open source ClickHouse database, is available on AWS, GCP, and Azure. Customers can purchase directly from ClickHouse or through the cloud marketplaces. Billing is how every ClickHouse product reaches customers and shows up in our financials. As we add new products and new ways to buy, we are investing in our billing platform to scale with them. As Principal Product Manager for Billing and Marketplaces, you will lead that work and report to the Director of Product Management, Billing and Marketplaces. WHAT YOU WILL DO: - Own the multi-year vision, strategy, and roadmap for billing, from usage metering through invoicing, payments, and revenue recognition, working alongside the product managers and engineering leads of our metering and pricing, billing platform, and payments teams. - Evolve our metering and pricing foundation into a single metrics pipeline that new products can reuse, where the same metric can be priced differently by product and tier, and only net-new metrics need code changes. - Evolve our prepaid commit capabilities, with flexibility for customer-specific rate cards or metric-level discounts, contract changes and rollovers, and customer-facing balance visibility and spend alerts. - Own our cloud marketplace strategy and integrations across AWS, GCP, and Azure, including private offers, usage reporting, and subscription linking. - Lead the evaluation of billing architecture, from build versus buy decisions and POCs through migration plans and a clear recommendation to senior leadership. - Give Finance, Data, and Sales Ops systems they can trust, including ERP and revenue recognition sync, period close, audit controls, and SOX and SOC 2 readiness. - Partner with product teams, Product Marketing, Sales, and Support to launch billing for new products and pricing models, and serve as the company's subject matter expert on how customers are billed. - Mentor other product managers and help build the team. ABOUT YOU: - 10+ years of product management experience, including 5+ years owning billing, metering, payments, or commercial platforms for a cloud or usage-based product. - Deep expertise in usage-based pricing, prepaid credits, and committed spend contracts, and in how they translate into systems, invoices, and revenue. - Hands-on experience with AWS, GCP, or Azure marketplaces, including private offers, co-sell, entitlements, metering APIs, and disbursements. - Familiarity with payments across card, invoice, marketplace, and partner channels, including dunning and delinquency flows, fraud detection, and payment notifications. - Strong understanding of order-to-cash, including invoicing, payment processing, tax, multi-currency, ERP integration, and revenue recognition. - Experience with third-party billing and payment platforms, such as Stripe or a usage-based billing vendor. - A track record of designing and maturing a product area from v1 and leading complex programs across engineering, Finance, and go-to-market teams. - Excellent written and verbal communication, including presenting trade-offs to executives and explaining billing concepts to non-technical audiences. BONUS POINTS: - Experience at an infrastructure, database, or developer platform company. - Comfortable going deep with engineers on event-driven architectures, data pipelines, and idempotency, and fluent enough in SQL to analyze billing data yourself. - Speaking or published thought leadership on usage-based pricing, billing, or cloud marketplaces. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance. Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people. Key responsibilities Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases Minimum qualifications Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers Preferred qualifications 5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body Background in digital forensics, open-source intelligence, or threat attribution Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 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 Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Anthropic Institute The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI. The Institute is comprised of research teams tackling some of AI's most consequential societal challenges: the Frontier Red Team, which stress tests our systems against catastrophic risks; Societal Impacts, which studies how Claude is used by millions of people; Economic Research, which tracks AI's impact on people's jobs and the larger economy; the Rule of Law team, which studies AI's impacts to democracy; and more. The Institute's mission is to reduce information asymmetries between Anthropic and the outside world, name and answer the hard questions implied by powerful AI systems, and publish these findings so that policymakers, researchers, technology leaders, and the public can reckon with what's here and what's to come. About the role The role. You will build and lead the Institute’s tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts, you will set the research agenda: which questions the exercises should answer, which scenarios to run, with which audiences, and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators, and you will be the program’s public voice. Why tabletop exercises? If RSI arrives, the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other, and the authorities they work under may not be fit-for-purpose. A tabletop exercise (TTX) allows the people who would face that situation practice it before it is real. It also shows us what tools and information they reach for, including what they would need that does not exist yet. Tabletop exercises are also a research method. You can run the same scenario many times, with different groups of people (and with many more AI agents playing in silico), and you start to see the distribution of decisions people make. This is one of the few ways to generate empirical evidence about the future, i.e., how people and institutions will respond to situations that have not happened yet. Key responsibilities Set the program’s research agenda: the questions exercises should answer, the scenarios to run, and the audience for each Design exercises as empirical studies: define what each run tests, standardize scenarios and data capture so results are comparable, and use repeated play to map the range of outcomes Build the program’s measurement: pre- and post-exercise assessments, decision logs, transcript analysis and after-action reports Turn results into findings: publish on what the exercises show, and brief senior people inside and outside Anthropic on the gaps they expose Hire, manage and develop a team and a bench of facilitators Make the program scalable: maintain a library of tested scenarios that the team reuses most of the time, refreshed on a regular cadence so they stay timely Build a facilitator kit ("TTX in a box") so other internal teams or external partners can run exercises to the same standard Create and direct the tools behind the exercises, including Claude-driven simulations that generate a live outside-world feed during play Minimum qualifications Have designed and run tabletop exercises, wargames, or simulations for senior decision-makers and published on the subject Have training in a discipline that uses simulation, experimental methods or structured analysis Have 10+ years of experience in national security, government, technology policy, or strategy Can keep the scenarios technically grounded with a strong grasp of AI capabilities and safety research Have managed a team, including hiring, setting direction, giving feedback and developing people Use Claude and other AI tools extensively in your own work Care about AI safety and Anthropic's public benefit mission Preferred qualifications Published research on wargaming methods, simulation or crisis decision-making Run exercises that fed into real policy or crisis-response decisions Run multi-iteration or experimental wargames and analyzed results across runs Used AI agents or language models as players, adjudicators or analysts in simulations Led a research program or team through a period of growth Existing relationships across national security, government, policy and AI, and are trusted in those communities Published widely read work on AI, emerging technology, strategy or crisis decision-making 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. 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: $295,000 — $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. 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 Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an accomplished Scientific Research Expert with deep expertise in computer science, computational physics, or related theoretical and mathematical disciplines to contribute to an advanced AI research project. In this role, you will work with frontier AI models and agents to investigate open research problems, evaluate theoretical and computational results, and establish rigorous standards for measuring scientific progress. You will help guide multi-step research workflows involving proofs, algorithms, numerical experiments, simulations, and high-performance computing, while documenting model limitations and identifying promising directions for further investigation. Prior AI industry experience is not required; exceptional research expertise and rigorous scientific judgment are the priorities. SENIORITY: Principal / Research Leader LANGUAGE: Excellent written English LOCATION: Remote — Worldwide Key Responsibilities Identify and formulate foundational open problems, theoretical bounds, and computational challenges where progress can be rigorously demonstrated. Guide AI models and agents through complex, multi-step research workflows involving mathematical proofs, algorithm development, numerical experiments, and high-performance simulations. Validate research results using proof verification, computational reproduction, formal methods, and other rigorous evaluation techniques. Assess the novelty, correctness, and scientific significance of research outputs against established findings and current literature. Prepare concise research memos documenting attempted solutions, partial progress, model limitations, and recurring reasoning failures. Recommend promising research directions, subfields, and open problems suitable for investigation using advanced AI models and computational tools. Apply critical judgment when reviewing technical work beyond your immediate research specialization. Help establish evaluation standards that distinguish genuine scientific progress from plausible but unsupported results. Requirements Approximately 7–10+ years of active research experience in computer science, mathematical physics, computational physics, or a closely related discipline. Strong record of scholarly contributions, including publications in leading conferences, journals, or other recognized research venues. Deep hands-on experience with computational research methods, such as numerical analysis, simulation, algorithm implementation, or high-performance computing. Demonstrated ability to evaluate technical claims rigorously, verify results, and identify gaps in mathematical or computational reasoning. Strong familiarity with the research literature and established results in your field. Excellent analytical, technical writing, and research communication skills. Ability to work independently, assess ambiguous problems, and communicate findings clearly.