Вакансии

Задачи: — Подбор экипажей (водителей + грузчик) на различные проекты компании, от 10 вакансий в месяц; — Работа с job-сайтами, создание и размещение вакансий на hh.ru, avito, работа.ру и др.; — Работа с откликами и поиск кандидатов по холодной базе; — Проведение телефонных интервью (первичная презентация вакансии); — Проведение очных интервью в офисе; — Сопровождение кандидатов до трудоустройства: назначение стажировки с действующим водителем, контроль прохождения стажировок и получение обратной связи от наставника, проверка сотрудника через СБ (служба безопасности); — Взаимодействие с логистом для актуализации информации по потребности; — Передача информации по новым водителям для трудоустройства; — Сбор обратной связи от водителей, по работе в компании, предупреждение желания покинуть компанию; — Ведение базы данных в E-Staff; — Отчётность по проделанной работе. Требования: — Умение и готовность работать с большим объёмом "холодных" звонков; — Опыт работы в подборе от года. Условия: — Офис: Бизнес-центр «РТС» в пешей доступности (5 минут) от метро Селигерская; — График работы 5/2, с 9.00 до 18.00; — Официальное оформление, с первого рабочего дня; — Выплата заработной платы - 2 раза в месяц, гарантированный оклад + KPI; — Корпоративная мобильная связь, оборудованное рабочее место.

Location: Queens, United States Workplace: on-site A growing, well-respected gastroenterology practice with three physicians, three nurse practitioners, and a five-person front desk team is seeking an experienced Office Manager. This person will oversee daily office operations, support the front desk team, and keep patient scheduling, insurance verification, and authorizations on track. The practice offers a paid one-hour lunch break and flexibility when personal scheduling needs arise. The selected candidate will have an opportunity to train alongside the current Office Manager before taking over the role. Responsibilities Supervise front desk staff and coordinate schedules, vacation coverage, and absences. Oversee patient registration, appointment scheduling, insurance verification, and authorizations. Review upcoming procedures to confirm required authorizations are complete and documented. Serve as the main point of contact when staff needs help resolving operational issues. Participate in interviewing, hiring, training, and staff management. Coordinate with physicians, nurse practitioners, referring primary care offices, imaging providers, and pharmaceutical representatives. Manage office supplies and help at the front desk during busy periods. Qualifications Previous experience in a medical office, including staff supervision or office operations. Strong understanding of patient scheduling, insurance coverage, billing processes, and prior authorizations. Excellent organization, communication, and problem-solving skills. Gastroenterology practice experience is highly preferred; primary care experience is also relevant. Experience with MD Land is a plus, but training is available.

Location: 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 Applied AI Solutions Architect supporting a dedicated national security mission program, you will be the customer's trusted technical advisor — helping them understand the value of Claude and how to successfully integrate and deploy it into their technology stack. You'll combine deep technical and cyber domain expertise with customer-facing skills to architect LLM solutions for complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. Key responsibilities Serve as the dedicated technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption Support the customer building with Claude Code, the Claude API, and Claude for Enterprise Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases Guide technical architecture decisions and integration into the customer's existing stack Coordinate internally across Sales, Product, and Engineering to drive customer success Create and deliver technical content from engineering deep dives to executive briefings Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic’s Applied AI and Engineering teams Minimum qualifications Active TS/SCI clearance with Polygraph Prior experience working within US intelligence community agencies as a government civilian or cleared contractor Experience in technical customer-facing roles (solutions architecture, sales engineering, or similar) Exceptional ability to communicate technical concepts to diverse stakeholders, from engineers to executives Hands-on expertise in one or more of the following domains: offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security), cryptography and cryptanalysis, intelligence analysis and ISR (all-source, SIGINT, GEOINT), mission and weapons systems (command and control, space, electronic warfare, autonomy), CBRN and nonproliferation, or accreditation of classified systems (RMF, ATO, cross-domain solutions). Preferred qualifications 5+ years in Solutions Architect, Sales Engineer, Technical Account Manager or equivalent roles Familiarity with common LLM frameworks and tools Background in artificial intelligence, machine learning, or data science Experience designing scalable cloud architectures and integrating with enterprise systems Experience deploying and operating software in air-gapped or classified environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About This Role GiveDirectly is scaling its emergency response operations to reach more people, faster, with cash in the wake of crises. As a Senior Manager on the Delivery team, you will play a key role in building team capacity, strengthening response systems, and ensuring GiveDirectly can deploy effectively at scale. You will mentor and develop Delivery Managers and surge roster members, contribute to the strategic direction of the team, and serve in assigned functional roles during responses. This role does not currently carry direct line management responsibility, though this may be added as the team scales. Senior Managers should be able to: Understand and clearly communicate about the market/landscape and GiveDirectly's value proposition in their domain and across domains Mentor teams and contribute to resource planning to develop individual members Oversee excellence in design and implementation, with a constant drive to improve, iterate, and learn What You'll Do Support and Develop High-Performing Teams Mentor and train Delivery Managers and surge roster members on response systems, tools, and operational best practices, building long-term capacity across the team Participate in the evaluation of the team's learning opportunities and contribute to the professional development of individual team members with key performance indicators Support quality assurance across responses, providing expertise and guidance to ensure consistent operational standards Contribute to the strategic vision and direction of the Delivery team, in coordination with the Delivery Director Support broader surge roster readiness, including onboarding and preparing internal and external surge staff for deployment Strengthen Response Systems and Capabilities Support steady-state work as assigned by the Delivery Director, including development of tools, protocols, and documentation Contribute to the development and continuous improvement of operational tools and protocols to accelerate readiness across a growing number of countries Conduct operational diligence and feasibility inputs for potential responses, in coordination with the Delivery Director Define, track, and report on operational efficiency metrics to support performance management and continuous improvement During responses, serve in an assigned functional role as directed by the Delivery Director Support Fundraising and External Representation Translate field learnings and operational experience into inputs for donor proposals, updates, and campaign materials, in coordination with the Fundraising team Represent GiveDirectly at external and internal forums as assigned, including media engagements as necessary Staff Emergency Cash Responses Deploy on short notice to implement Emergency Cash crisis response programs When deployed or remote: supervise program implementation, test approaches and tools, drive program design, liaise with local authorities and other response actors, and ensure excellent communication and documentation during responses When deployed: conduct field assessments, coordinate field logistics, and ensure the safety and security of the deployed team What You'll Bring Alignment with GiveDirectly values: exceptional alignment with values and an active demonstration of our core competencies — emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity 5–7+ years of experience: in a role focused on problem solving, team management, cross-functional collaboration and/or new business development. Prior humanitarian/emergency experience strongly preferred 5+ years of experience: working in difficult settings, including low-resource and high-insecurity contexts 3–5+ years of experience: providing direct mentoring or coaching to teams, with the ability to assess strengths and opportunities for improvement, as well as measure performance growth Analytical problem solving: looks at problems with an analytical and iterative mindset, with a strong framework for prioritization and the ability to bring structure and process to ambiguous problems Strong project management skills: the ability to manage multiple workstreams, prioritize and explicitly deprioritize, and hold a high quality bar Strong technical skills: including data analysis and ease with learning new third-party tech platforms and tools Fundraising: preference for candidates with a strong partnership and relationship-management background Strong communication skills: skilled in speaking, writing, presenting, and negotiating across multiple stakeholders Enthusiasm for fast-paced environments: which may lack a pre-defined playbook for success and involve significant "learning by doing." Comfort with ambiguity and building systems from scratch Language Requirement: English (professional fluency) Language Preference: Additional proficiency in French, Portuguese, Arabic, or other languages is a plus Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third-party salary aggregator to ensure that staff's total compensation package (base compensation + bonus) falls within the 75th percentile of similar roles, at similar organizations. We also have a no-negotiation policy to ensure we are paying staff equitably across roles. United States Base Salary: $115,000 Bonus at Target Performance: 10% (~$11,500, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $13,455 in 2025) Estimated Total Compensation at Target: $126,500+ Annual Benefits Stipend: $21,393 United Kingdom Base Salary: £73,900 Bonus at Target Performance: 10% (~£7,390, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be £8,646 in 2025) Estimated Total Compensation at Target: £81,290+ Annual Benefits Stipend: £2,760 Kenya Base Salary: $79,825 Bonus at Target Performance: 10% (~$7,983, with potential for upside. For reference, with the organization's current performance multiplier, this amount would be $9,340 in 2025) Estimated Total Compensation at Target: $87,808+ Annual Benefits Stipend: $8,453 If you are not based in the US or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: San Francisco Workplace: Hybrid Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build lasting businesses, including paid and free memberships, community chats, live experiences, and one-time purchases. Ultimately, our goal is simple: fund the creative class. We're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet - 25 million+ paid memberships on Patreon today We're continuing to invest in building the best creator platform and team in the creator economy. We're looking for an Executive Assistant to help advance that mission. This role is based in San Francisco and is open to candidates who can work in-office three days per week under our hybrid model. ABOUT THE TEAM The Office of the CEO provides high-touch support to Patreon's CEO & Co-Founder and executive team, spanning calendar management, communications, travel, and cross-functional coordination. This role partners closely with the Chief of Staff to keep the CEO's priorities, schedule, and business rhythms running smoothly. ABOUT THE ROLE - As a member of the Office of the CEO, you will provide support to the CEO & Co-Founder and work closely with the Chief of Staff - Proactively manage complex calendars 3-6 months out, partnering closely with Biz Ops to ensure the CEO's calendar and the exec team's calendars stay aligned; maintain and adjust business rhythms as needed - Proactively communicate calendar updates and priorities to the Rhythm of Business (ROB) stakeholders (Business Operations, Executive Assistants, Communications teammates) - Maintain the CEO's inbox, draft correspondence - Work with the Chief of Staff to procure or create meeting agendas and presentations - Attend meetings, take notes, track action items and deliverables - Coordinate offsites and events for the Executive Team - Celebrate birthdays, anniversaries and new family member arrivals of Executive Team members - Coordinate all of the CEO's business travel and some personal travel, including bookings and logistics - Build and share quarterly/annual travel lookaheads with CEO's family office to support long-range planning - Maintain, organize, and code receipts, expenses, and reimbursements - Work with the Chief of Staff to create project management processes for cross-functional initiatives, building and maintaining systems that scale with the office Projects you may work on: - Coordinating activities, logistics and agendas for exec team offsites - Meeting coordination during company planning, annual reviews - Supporting monthly All Hands efforts - Special projects on an as-needed basis - Board meeting coordination and planning - Annual company kickoff (PKO) planning and support ABOUT YOU - 3-5 years EA experience supporting C-level executives in startup or high-growth environments - Experience supporting executives in both business and personal capacities, ideally including family office experience or close cross-functional partnership with a personal-side EA - This is a San Francisco based role for a hybrid model company, in office 3 days/week - Extremely organized and detail oriented - Exercises sound judgment, confidentiality and professionalism - Moves quickly without sacrificing efficiency or effectiveness - Prioritizes shifting demands with a high degree of accuracy and consistent follow up - Excellent written and verbal communication skills - Strong project management skills; able to build and run systems and processes independently - Ability to: - Work autonomously - Problem solve - Think five steps ahead - Create and maintain structure and processes - Advanced knowledge of business-related tools including (but not limited to) Google Suite, Slack, Notion, and AI tools, with strong AI fluency and a demonstrated ability to leverage AI to improve productivity ABOUT PATREON Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our people: - Put Creators First | They're the reason we're here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don't quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion are critical to our ability to serve creators worldwide. If you're excited about this role but your experience doesn't match every qualification above, we strongly encourage you to apply. If you're a creator at heart, energized by our mission, and share our company values, we'd love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please contact accommodations@patreon.com. http://patreon.com Patreon offers a competitive benefits package, including salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and a 401(k) plan with matching. Patreon operates under a hybrid work model. Employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal is to be intentional about in-person time and strengthen our sense of community. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we share the expected salary range for each role. The posted range may encompass multiple levels within the role's job family and depends on location. The final offer will reflect the candidate's experience, skills, competencies, geographic location, and alignment with Patreon's leveling framework. For remote employees located outside California and New York, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: United Kingdom (Remote) Workplace: Remote Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo, we have ~200 Engineers organised into Pillars. ✨ Our stack spans a Ruby on Rails monolith, a single React Native (TypeScript) app frontend, Python for machine learning services, and PostgreSQL, all hosted on AWS and shipped through Kubernetes - backend goes out multiple times a week, app releases to Google and Apple at least weekly. To thrive here, our engineers proactively use our Engineering Principles to guide daily decisions, take ownership of problems beyond their own squad to drive broader impact, and actively drive their own learning, development, and growth. ABOUT THE ROLE ✍️ We’re hiring an Engineering Manager to lead and develop high-performing engineering teams across multiple product squads. You’ll partner closely with Product and technical leadership to drive delivery, team health and longer-term strategy. - Lead, coach and develop engineers across multiple squads, creating an environment where people can grow and do their best work - Own team health, performance and engagement through regular 1:1s, clear feedback and development conversations - Partner with Product Managers, Tech Leads, TLMs and Staff Engineers to shape priorities, planning and strategy - Own delivery and outcomes across your squads, keeping teams focused on the highest-impact work and removing blockers - Translate broader company and product priorities into clear goals and direction for your teams - Enable strong technical decision-making across our Ruby on Rails environment, empowering senior engineers while upholding our engineering principles and standards - Hire and retain great engineers, building healthy, inclusive and high-performing teams - Improve how teams work together, navigating dependencies and strengthening collaboration across Engineering, Product and other disciplines WHAT WE'RE LOOKING FOR 🕵️ - Strong experience leading and developing engineering teams, including performance, growth and engagement - Solid experience with Ruby on Rails and the technical depth to effectively lead engineers in a production Rails environment - Experience owning delivery and outcomes across multiple squads, balancing immediate priorities with longer-term strategy - A track record of hiring, coaching and developing engineers at different stages of their careers - Strong technical judgement and the ability to enable great technical decisions without needing to make every technical call yourself - Experience partnering with Product and technical leadership to align on priorities, direction and delivery - Strong communication and stakeholder-management skills, with the ability to create alignment and unblock teams - A track record of building healthy, inclusive and high-performing teams - Alignment with company values https://web.meetcleo.com/life-at-cleo and engineering principles https://web.meetcleo.com/blog/cleo-engineering-principles, WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE Join Mistral AI’s Defense team to build software for defense institutions and industry. We are looking for an experienced software engineer with strong engineering fundamentals and a background in data engineering or transactional, analytical or distributed systems. You will help shape the architecture, write production code and own substantial software components, from design through deployment and operation. This role offers the scope and autonomy of a senior technical individual contributor in a small team. It is particularly suited to engineers operating at Senior or Staff level in demanding product engineering environments who want broad ownership and to stay deeply involved in implementation. WHAT YOU WILL DO - Design and build services for data ingestion, transformation, storage, querying and operational workflows. - Develop shared data models, APIs and SDKs that help engineers build applications on a consistent foundation. - Make authorization a core part of the architecture: define and enforce which users, applications and agents can access data or perform actions, with clear audit trails. - Solve problems involving data consistency, schema evolution, concurrency, performance and failure recovery across services and data systems. - Turn needs from our applied engineers and defense users into reusable software capabilities, making pragmatic choices about what to build and how to evolve them. - Own delivery end to end, including implementation, testing, observability, debugging and maintainability in demanding deployment environments. - Use AI coding tools and coding agents extensively to accelerate implementation, testing, refactoring and debugging. Help the team improve these workflows while maintaining a high engineering standard. WHAT WE ARE LOOKING FOR - Strong practical familiarity with AI coding tools and agentic engineering workflows. You use coding agents regularly, can break complex work into well-scoped tasks, provide effective context, review generated code and validate the result through tests and debugging. You remain accountable for the architecture, correctness, security and maintainability of what you ship. - A strong track record of building and operating production software, with substantial ownership of complex systems. - Experience in data engineering or in building transactional, analytical or distributed systems. You understand the trade-offs behind data models, storage, query execution and service boundaries. - Experience building products where access control, permissions and data governance are central to how the system works. Work on platforms such as Foundry, or systems with comparable requirements, is particularly relevant. - Broad software engineering skills and the ability to move between architecture, implementation and production debugging. You are comfortable working across unfamiliar parts of a codebase. - Strong proficiency in Python or another programming language, solid SQL skills and the ability to become productive quickly in a Python and TypeScript environment. - High autonomy and sound judgment: you can turn an ambiguous problem into a concrete plan, make technical decisions and deliver useful increments with limited supervision. - A collaborative approach to technical leadership through code, design discussions, reviews and mentoring, and a clear motivation to build software for defense institutions and industry. NICE TO HAVE - Experience building a data platform or developer product used by other engineering teams. - Experience with fine-grained authorization, multi-tenant architectures, data lineage or auditable operational workflows. - Experience with self-hosted software, restricted networks or other demanding deployment constraints. - Familiarity with LLM applications and their integration with data and tools. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI. Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to succeed with Claude. Responsibilities Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team Create technical content for developer audiences including documentation, tutorials, and sample code Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Strong programming skills with proficiency in Python and experience building production applications Experience working with high-growth, tech-forward companies Ability to context-switch across industries (healthcare, fintech, etc.) and use cases Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans Experience facilitating technical workshops, hackathons, or developer-focused events Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams Track record of selling technical products in competitive markets Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns Passion for making powerful technology safe and societally beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £165,000 — £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | 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 Anthropic’s Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace. As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent. This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building. Key responsibilities Own the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows Help define the long-term workforce strategy for Safeguards Enforcement Minimum qualifications Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs Exercise sound judgment on access and permissions, and know when to bring in IT or Security Move quickly and stay effective when priorities change and information is incomplete Build alignment through direct partnership with the teams you depend on Preferred qualifications Owned a vendor or BPO relationship directly, including service levels and business reviews Built formal capacity models for review or operations workforces Supported workforces across more than one enforcement or harm area Hands-on experience with device management and identity and access tooling Worked through a period of hypergrowth where programs had to mature alongside the organization 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 Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems. Key responsibilities Implement AI-powered solutions to streamline contract review and redlining processes Manage integrations between existing legal systems and AI tools Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows Create AI-based tools for handling commercial contract diligence requests Optimize contract management platforms with AI capabilities Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution Build and maintain metrics dashboards to track efficiency improvements Establish practical governance processes for AI use in legal operations Coordinate with Engineering and Product teams on solution development Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving Minimum qualifications Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!) Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders Self-directed and can manage multiple technical projects simultaneously Preferred qualifications At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams Technical aptitude with system integration knowledge Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excellent verbal and written communication, analytical, collaboration, and interpersonal skills Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 — $220,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

В задачи входит: Публикация вакансий на различных поисковых платформах (сайты, соц. сети) Оценка и отбор кандидатов в соответствии с требованиями вакансий Подготовка резюме, представление кандидатов заказчику Что мы предлагаем: Место работы: м. Новослободская, м. Достоевская, м. Менделеевская (шаговая доступность 5-7 минут) Оформление по ТК РФ с первого дня работы График работы обсуждается 5/2 с 9.00 до 18.00 Официальная заработная плата, выплачивается без задержек, 2 раза в месяц Предоставление доступа ко всем платным сайтам на публикацию вакансий и поиск кандидатов Предоставляется корпоративная мобильная связь, обучение Al (ИИ) Современное программное оснащение: Е-Staff Уютный офис, чай, кофе, вкусняшки Заработная плата от 80 000 рублей, (оклад + бонусы ) + премии без ограничений и «потолка»

Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them. This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act. Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive. Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise. Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data. Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program. Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last. Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes. Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership. You may be a good fit if you: Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones. Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service. Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action. Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims. Have built or substantially improved operational processes. Are comfortable working with schedule, ticket, and telemetry data to drive decisions. Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected. Possess a bachelor's degree in relevant domain or equivalent practical experience. It’s a bonus if you have: Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program. Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties. Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer. In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers. Key responsibilities Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch Build and maintain the product certification path that credentials sellers on our core products Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing Minimum qualifications Experience in a sales or sales enablement role Experience building AI automations into sales workflows and tooling Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers Experience writing and presenting technical material for audiences with very different levels of technical depth Preferred qualifications Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula Experience owning launch readiness for a technical product across a global field organization Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it Experience building programs from 0 to 1 in fast-paced, ambiguous environments 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: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Frontier research runs on more than research alone. Behind every model launch, review, and cross-team program is a web of decisions, priorities, and follow-through that keeps hundreds of researchers moving in the same direction. Research Operations owns that work: we bring clarity to ambiguity, provide stability during change, and continually deepen our domain knowledge so that researchers can spend their time on the problems only they can solve. It is one of the highest-leverage functions at Anthropic. We are hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most. You will report to the Manager of Research Operations and work daily with RL org leaders and their teams. Key responsibilities Own leadership's time. Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them. Triage what reaches leadership. Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest. Enable wise decision-making and follow through. Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion. See problems coming. Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers. Scale leadership voice. Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times. Make the org run better. Find the friction that keeps recurring and find the people who can fix the process behind it. Be a thought partner. Offer honest, candid counsel to leaders, including crisp and kind disagreement. Minimum qualifications Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org. Technical fluency to engage substantively with researchers: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers. Clear writing: you turn dense, jargon-heavy material into summaries and plans that technical collaborators across the RL org and beyond can act on An eye for great dashboards: you can look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded. Strong follow-through and attention to detail; nothing falls through the cracks on your watch. Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority. Comfort with ambiguity and a fast-changing environment; you stay steady when the pace is relentless and the stakes are as high as they can possibly be. Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization High integrity. This role sits close to decisions that execute on Anthropic’s mission, and you care about getting them right. Preferred qualifications Experience supporting a senior leader directly in a chief of staff or related function Time in a research institution, lab, or other research-heavy organization Track record of anticipating what colleagues and leaders will need and acting on it before being asked Comfort in an environment where the right answer changes hour to hour Experience moving routine operational work to AI agents, or the ability to script and build small tools Familiarity with AI safety or other existential risks. 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: $210,000 — $260,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City Workplace: OnSite The Workplace team powers and connects the workday for all Perplexity employees across our global offices. We are hospitality and experience-driven at the core. We are made up of People people, meaning that we love supporting each other and all of the People in our workplace. We take on the good and the bad with optimism and with a positive, kind approach to solving problems, dealing with the obstacles handed to us, and proactively creating good around us. We think about each moment through the lens of our colleagues (our customers) so that we can create thoughtful and memorable experiences no matter what task we have at hand. Our New York City office of approximately 100 seats is located in Union Square. The NYC Sr. Workplace Coordinator will be a part of the global Workplace team, and will be responsible for all office operational, coordination, and administrative tasks while cultivating a beautiful, positive, and productive workplace.   WHAT YOU’LL DO - Keep the NYC office running with respect to the day to day reception, operations, vendor relationships and associated services, employee health & safety compliance, and facility maintenance all while creating a clean, polished, and positive environment for all to enjoy - Open/close the office daily (8:30am - 5:00pm) + be there at times when no one else is for special projects, maintenance or moves. - Support team mail and packaging assistance including accepting deliveries of small packages - triage, distribute, keeping it all organized - Manage inventory and order all office and kitchen supplies while tracking spend and working within the office budget. Remotely help with office and kitchen supply ordering for small neighboring offices. - Keep the office tidy, clean, organized and looking polished each and every hour of the day - Create a wonderful workplace experience and environment for employees, visitors, recruits, customers and vendors alike - Produce thoughtful and inclusive office experiences and events, collaborating with the Workplace team so there is consistency with other office locations and the global strategy - Organize, monitor, and communicate facility and building safety preparedness to employees - Build relationships with external parties (contractors, suppliers, etc.) and with building management, maintenance, and cleaning staff, including quality control, vendor accountability, and delivering feedback - Organize internal and external lunches, meetings, team-building events, and offsites ensuring proper preparation of all logistical pieces. - Assist with coordinating and being the on-site contact for design and construction projects - Assist with answering workplace tickets in a kind and timely manner - Assist with ad-hoc projects when time allows - Contribute in ways beyond this high level overview of the role’s responsibilities   WHAT YOU BRING - 3-5 years of experience working in facilities, workplace operations, office administration, or hospitality fields - Proficiency with G-Suite Products or the ability to learn software quickly - Excellent organization, planning and prioritization skills - Exceptionally strong ownership and can-do attitude with an operational mindset - Comfortable working autonomously, juggling multiple tasks under tight deadlines, switching gears at the drop of a hat, and having a “no task too small” mentality - Willingness to jump in where needed, picking up projects and checking things off lists even when it lands on your plate unexpectedly - Excellent written, non-verbal, and verbal communication skills; the ability to work well with various personality types, and are receptive to feedback...all while maintaining a high degree of professionalism and confidentiality - Genuine passion for supporting others and a contagiously positive attitude - The capability to anticipate others' needs and act with patience, kindness, and firmness - An eye for detail with regards to all things from process to projects to space to events - The ability to maintain a professional and kind game face even when things aren’t going as planned or desired; a propensity for problem solving quickly and quietly - A solid sense of self awareness and the desire for feedback to adapt and grow

Location: San Francisco, CA | Seattle, WA | 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 part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers and (nascent) industry norms (which we also seek to influence). The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet. The compliance team assures regulators and customers that those expectations are met by earning security credentials and responding to direct inquiry about Anthropics security program from auditors, customers and partners. This opportunity is unique, as we work to secure today’s most novel and valuable asset types, we must build a new kind of compliance program, assuring the safety of artificial intelligence capabilities. Key responsibilities Understand how Anthropic's security and privacy capabilities across major cloud platforms implement common frameworks (e.g., NIST 800-53, NIST 800-171, ISO 27001, ISO 27701, CSA CCM, and SOC 2). Build scalable data center and hyperscaler processes and documentation systems that will support future expansion to additional geographies and compliance frameworks. Assess and mitigate security and operational risks, implementing corrective actions, and managing vendor compliance. Coordinate engagements with independent assessors to earn security and privacy certifications and attestations important to Anthropic customers and enterprise partnerships, and to meet regulatory obligations. Write, update and enact policies capturing security, privacy, and AI safety requirements. Maintain and enhance Anthropic's system of security controls through audit readiness, recordkeeping, and cross-functional communication. Minimum qualifications Have 8+ years of progressive experience in audit and compliance roles, with direct ownership of certification/attestation or security compliance implementation projects Have worked in cloud-native environments and understand security and privacy considerations for multi-cloud and hybrid architectures Can translate complex compliance requirements into actionable workstreams for technical and non-technical stakeholders Have integrated with common controls frameworks or GRC systems that scaled with organizational growth Write clear and useful security and privacy documentation for both external and internal audiences. Thrive in ambiguous, fast-paced environments where you'll need to build processes from scratch Are comfortable organizing time-bounded task management of delegated work streams across a diverse organization Are energized by being the subject matter expert who educates the organization on new compliance requirements and auditors on current security practices Preferred qualifications Have worked in AI/ML companies and understand unique security considerations for model development and deployment Have worked with cloud companies and understand cloud security controls and physical security requirements Bring experience from high-growth technology companies managing rapid compliance expansion Have some experience implementing automated enforcement of security controls (i.e., compliance as code) Possess relevant certifications (CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Auditor/Implementer) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $270,000 — $345,000 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: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Partner Solutions Engineer to join our partnerships team. This role will drive enablement and integration motions across Vercel's partner ecosystem: solution and consulting partners, strategic technology partners, and cloud alliances such as AWS. Partner Solutions Engineers work with partner engineering, sales, and product teams to grow adoption of Vercel's products and build strong technical relationships. Partner Solutions Engineers serve as technical collaborators and developer advocates for Vercel's strategic partners. You will work with Vercel's Partner Managers to design and deliver programs such as agentic workshops, discovery sessions, and technical enablement. You will also have the opportunity to work with Vercel's partners on building product integrations and accelerators, bringing them from 0 to 1 and using Vercel, Next.js, AI SDK, and eve. Partner Solutions Engineers require a strong web development background, especially in frontend development, cloud infrastructure, agentic development, and modern application development. Strong coordination skills across multiple partners and time zones are essential, as is building lasting relationships with practice leads, delivery teams, and executives. What you'll do Serve as the main technical contact for Vercel's partners, building lasting relationships with their engineering teams and leadership across solution and consulting partners, technology partners, and cloud alliances. Build product integrations, proofs of concept, and reference applications that connect Vercel agentic infrastructure to apps and agents using Vercel’s open source solutions. Author the guides, documentation, and workshop content behind Vercel's partner enablement, including integration guides for partner products. Provide pre-sales support on partner-attached opportunities. Enable Vercel's sales organization on the Vercel + partner better-together story, and present technical content at partner events, hackathons, and conferences. Gather and deliver high-signal feedback from partner use cases and integrations to Vercel product teams. What you need You are passionate about building first-class web and agent experiences. You have a strong understanding of fullstack web architecture, agentic development tools, and building AI applications. You have 4+ years of experience as a solutions engineer, solutions architect, or tech lead advising or consulting engineering teams. You have 6+ years of experience building and launching frontend applications using Next.js or React, and you still write code regularly. You have shipped applications with composable technologies and services common in partner-delivered projects, such as CMS, ecommerce, A/B testing, and personalization. You have built and shipped agentic applications with the Vercel AI SDK or other toolkits for AI-powered applications. You can speak credibly to LLM frameworks, agent architectures, and AI application patterns. You have worked with or within systems integrators, consulting firms, or technology partners, and understand how they staff, deliver, and grow a technology practice or product partnership. You are experienced in developer relations, from training sessions and sales demos to conference talks and technical content. You have a results-driven mindset and are experienced working in a fast-paced environment. You are comfortable working with remote, globally distributed cross-functional teams. You have excellent communication skills and experience advising both technical and non-technical stakeholders, from engineers to executives. You are able to travel 25% of the time. Bonus if you Have built integrations with Vercel's agentic infrastructure products. Have run certification, training, or enablement programs at scale. Have experience with cloud marketplace and alliance motions across AWS, Azure, and GCP. Have worked at or with a Vercel partner. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base salary range for this role is $176,000 - $225,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.