Вакансии

Location: Shanghai, China Our Client Our client is a global leader in maritime decarbonisation and fuel testing, with over 40 years of experience driving innovation and sustainability in the marine industry. Operating five state-of-the-art laboratories worldwide, our client provides testing, inspection, and advisory services that help clients optimise performance and reduce environmental impact. Beyond fuel testing, our client supports the industry’s transition toward greener operations by offering digital tools and solutions for emissions reduction. With a strong commitment to protecting customers, people, and the planet, our client plays a vital role in shaping a more sustainable future for maritime operations. Role Purpose To lead and control out client's operations including Sales in China based in Shanghai, with full P&L responsibility (including FQT & BQS revenue streams) This is a general management role, reporting to the AMEA Managing Director, with responsibility for all Shanghai resources and a clear commercial focus and responsibility to deliver sales growth in China. Role Description Lead and control Shanghai operations, planning and supervising resources including people, equipment and finances Provide leadership and motivation to Shanghai team including personal development and training within the budget set in the Business Plan Direction of day-to-day work to ensure samples are tested and reported within given deadlines Full P&L responsibility, including preparation and management of budgets Ensure Shanghai financial performance meets Business Plan via budgeting, cash management and financial control activities under supervision of AMEA MD and within the framework of approved plans defined by CFO and within the firm's Financial Policy and Guidelines Preparation of CAPEX plan to replace/upgrade laboratory equipment with a focus on automation and new measurement technologies Identify innovative services for existing customer base and business cases for organic business development for review by AMEA MD and approval by GLT Lead and control Shanghai Sales Team to meet sales targets, under direction of Group Commercial Director to deliver top-line growth via both volume increases and pricing Attend relevant Conferences and represent the company on industry bodies and reporting the activities to relevant teams Reporting Line & Location/Travel Reports to the AMEA Managing Director Line manages heads of departments and other support staff with ca 10 FTEs under direct management Location is Shanghai, with some travel across China and infrequent travel to the company's global locations (principally Singapore, Rotterdam, Houston, Manchester) Deliverables from Role Deliver the Business Plan for Shanghai/China Region (Revenue & EBITDA) Ensure Shanghai/China Region sales targets are met via business development by service line (FQT, BQS, OCM and decarbonisation) including volume and pricing metrics Identify opportunities to grow the business (e.g. expanding current customer base, fuel suppliers, etc.) Requirements Knowledge & Skills Preferable to have BSc level qualifications or equivalent experience Preferable to have specific knowledge and demonstrable experience of the following: Commercial/Sales Marine (customer side) Fuels (i.e. Downstream Oil & Gas) knowledge, specifically testing Oil Condition Monitoring Testing & Inspection sector knowledge BQS knowledge (may be derived from Cargo Inspection experience)

Location: South Africa About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a Junior Client Success Managers to manage and support students throughout their journey to securing medical school offers. This is a high-impact, client-facing remote role where you will act as a trusted advisor to students and their families, ensuring programme success, driving retention, and contributing to revenue growth through upselling. You will also take on light leadership responsibilities, mentoring junior support staff and owning the overall client experience. Key Responsibilities Manage a portfolio of students, guiding them from onboarding to medical school acceptance Ensure high client satisfaction through proactive communication and structured support Reduce churn and minimise refunds by identifying risks early and resolving concerns Drive upsell opportunities Collect testimonials, success stories, and case studies from successful students Coordinate with internal teams to ensure seamless delivery of programmes Act as a point of contact for both students and parents when required Support and mentor 1–2 junior team members, acting as a mini team leader Track progress and maintain accurate records using CRM and internal tools Requirements 2+ years of experience in Client Success, Customer Support, Account Management, or similar roles Background in education, teaching, healthcare (e.g., nursing), or student support is highly preferred Strong communication and relationship-building skills (client-facing experience essential) Proven ability to manage multiple clients and deliver high satisfaction outcomes Experience handling objections, retention, or upselling is a strong advantage Highly organised with strong attention to detail and follow-through Comfortable working in a fast-paced, target-driven environment Experience with tools such as Slack, Notion, Zoom, and Google Drive Leadership potential or prior experience mentoring junior staff Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Summary GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that. Finding senior research staff is a hard problem for a couple reasons: The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes. Our process is very competitive. The offer rate for senior research roles is less than one in a thousand. We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster. The role You'd work closely with our manager, research recruiting and the team to own recruiting for some of our Researcher , Program Officer, Senior Researcher , and Senior Program Officer roles. A few problems we’ll want you to think about: After candidates apply, is our assessment process effective? Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed. Where do we even find good candidates? The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own). How can we use data to make better decisions? Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it. What are ways our hiring process could be much better? This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information? You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition. About you You’re excited about GiveWell's mission and methods. You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different. You’re careful and truth-seeking with your beliefs. For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things. You're unusually curious and analytical. When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident. You have very high standards. We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar. You’re entrepreneurial and high agency. You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan. You're direct. You say what you actually think even when it's uncomfortable. You’re good at communicating in writing. You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo. If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply. Qualifications We care much more about the qualities described above than any specific background. That said, some things that might help: Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization Comfort with data — spreadsheets and basic quantitative analysis Strong written communication Experience working closely with executive-level leadership Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org. Key Questions What are some of the reasons I might not like this role? GiveWell has a unique approach to hiring, and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.” You’ll need to deeply understand our work and culture to succeed. We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates. You will be expected to hunt, not just farm. While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in. You’ll be collaborating with leaders with high expectations. We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results. You’ll be running hiring rounds from start to finish. We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines. What does growth look like in this role? GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader. What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like: Simulating a hiring manager intake conversation Walking through a sourcing strategy for a hard-to-fill role Reviewing a job description or process and offering a critique Writing a candidate outreach email or internal communication We'll share more specific details if we invite you to move forward, but our current plan is: Screen with a member of the Talent Acquisition team Career history interview with the Manager, Talent Acquisition Work trial, which will include live conversations and written work Values interview with VP, People Final conversation with Manager, Talent Acquisition References Team structure This role sits on GiveWell's People team and reports to our Manager of Talent Acquisition. Day-to-day, you'd work in close partnership with our Research Program Director, who owns senior research hiring decisions and is part of our Research Leadership Team. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation. We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context. The details Compensation: NYC or the San Francisco Bay Area: $149,600 All other U.S. locations: $136,000 Benefits: Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Location: You must be based in the United States and can choose to work remotely, hybrid or in person at one of our offices located in Brooklyn, NY or Oakland, CA. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events. Visa sponsorship: We are not currently able to sponsor visas for this role. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish all the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 150,000 donors have given over $2.6 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 340,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s recent interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell's Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell's Work Trial Policy .

Location: New York City, NY | Seattle, WA; 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 The Growth team's job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. Growth Data Scientists partner closely with growth product managers, engineers and marketers on experimentation, opportunity sizing, strategic analysis, metrics and personalization. We're hiring for two focus areas within this posting. Tell us in your application which one fits you best, or if you're excited about both: Growth generalist: a strong generalist across marketing and product who drives experimentation, opportunity sizing, marketing measurement and strategic analysis. Personalization: building and evaluating the models and experiments that pick the right message, offer or product experience for each user, across lifecycle marketing, onboarding and in-product experiences. We work in an AI-native way. Much of our analysis, reporting and experiment work is done with Claude as a collaborator, and we expect you to push that further. Responsibilities Across both focus areas, you will: Design and analyze A/B tests and quasi-experiments across activation, retention and monetization, and turn the results into a clear call on what to ship Define systems of metrics and guardrails that tie short-term wins to long-term value Present analyses and recommendations to technical and non-technical audiences, leading with the decision and keeping the numbers in support In the Growth generalist focus, you will also: Size opportunities and make the case for what Growth should work on next Measure the incrementality of paid and lifecycle marketing with holdouts, geo experiments and other causal methods, and turn the results into budget and channel recommendations Tie acquisition and lifecycle programs to long-term value (LTV, CAC and payback) In the Personalization focus, you will also: Build and ship targeting and personalization models that decide which users get which message, offer or experience, working closely with growth product managers and engineers Design the tests that evaluate and iterate on our personalization strategy, including holdouts, bandits and off-policy estimates where A/B tests aren't practical You may be a good fit if you have 7+ years of experience in data science, with significant time on growth, marketing, lifecycle or personalization problems Deep expertise in experimental design and causal inference, including A/B testing at scale, holdouts and quasi-experimental methods when randomization isn't available Experience analyzing growth funnels: acquisition, activation, retention and monetization Proficiency with Python and SQL Clear written communication, and a track record of recommendations that changed priorities or what a team built A bias for action and comfort in ambiguous, fast-moving environments An interest in Anthropic's mission of building safe and beneficial AI For the Growth generalist focus, we're also looking for: Experience measuring marketing: incrementality testing, holdouts or geo experiments, and LTV/CAC for paid or lifecycle programs For the Personalization focus, we're also looking for: Hands-on experience building and shipping machine learning models that drive user-facing decisions (targeting, ranking, recommendation or personalization) Strong candidates may also have Experience defining activation metrics and lifecycle measurement for a product-led business Experience with experimentation platforms and meta-analysis across experiment portfolios Background at consumption-based, multi-product companies serving both consumers and enterprises Experience using LLMs or coding agents in your own analytical workflow Experience with marketing mix modeling, geo experiments or synthetic controls Experience running contextual bandits, uplift models or similar decision systems in production Experience with lifecycle or CRM personalization (email, push, in-product messaging) and its measurement problems, such as global holdouts and interference between campaigns The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, United Kingdom Workplace: hybrid Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the up skilling of our students worldwide. Summary of role: We are seeking a proactive and detail-oriented Paralegal to support our legal team with a broad range of legal and administrative tasks. This is an excellent opportunity to work within a collaborative, fast-paced environment, contributing to key legal processes including KYC/onboarding, company secretarial matters, and ad hoc legal projects. Responsibilities: Responding to KYC and onboarding queries from banks, corporate service providers, insurers, and auditors Reviewing and proofreading legal documents to ensure accuracy and consistency Assisting with company secretarial duties, including: Drafting meeting minutes Registering share transfers and resolutions Maintaining and updating group structure charts Conducting due diligence on group entities where required Liaising with corporate service providers Supporting legal counsel on ad hoc projects and tasks Managing and maintaining data rooms Providing general file management and administrative support Requirements Essential Qualifications/Education: LLB degree or completion of the GDL Strong academic background Skills & Knowledge: Excellent attention to detail Strong organisational and workload management skills Ability to work in a fast-paced environment Ability to work under pressure and meet tight deadlines Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook) Experience: Minimum of 2 years’ experience as a Paralegal Desirable Qualifications/Education: Legal Practice Course (LPC) Skills & Knowledge: Experience in litigation and/or corporate law Experience: Experience within a corporate department of a law firm or an in house legal team What we offer: The role is primarily remote, with occasional office attendance as required. Hybrid working - most roles offer hybrid or flexible arrangements to support work life balance. Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: London, United Kingdom Workplace: hybrid Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the up skilling of our students worldwide. Summary of role: We are seeking a proactive and detail-oriented Paralegal to support our legal team with a broad range of legal and administrative tasks. This is an excellent opportunity to work within a collaborative, fast-paced environment, contributing to key legal processes including KYC/onboarding, company secretarial matters, and ad hoc legal projects. Responsibilities: Responding to KYC and onboarding queries from banks, corporate service providers, insurers, and auditors Reviewing and proofreading legal documents to ensure accuracy and consistency Assisting with company secretarial duties, including: Drafting meeting minutes Registering share transfers and resolutions Maintaining and updating group structure charts Conducting due diligence on group entities where required Liaising with corporate service providers Supporting legal counsel on ad hoc projects and tasks Managing and maintaining data rooms Providing general file management and administrative support Requirements Essential Qualifications/Education: LLB degree or completion of the GDL Strong academic background Skills & Knowledge: Excellent attention to detail Strong organisational and workload management skills Ability to work in a fast-paced environment Ability to work under pressure and meet tight deadlines Proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook) Experience: Minimum of 2 years’ experience as a Paralegal Desirable Qualifications/Education: Legal Practice Course (LPC) Skills & Knowledge: Experience in litigation and/or corporate law Experience: Experience within a corporate department of a law firm or an in house legal team What we offer: The role is primarily remote, with occasional office attendance as required. Hybrid working - most roles offer hybrid or flexible arrangements to support work life balance. Contributory Pension Scheme - 5% personal contribution & 3% Company contribution, so you can build long-term financial security with added benefits of the company contributions. Season Ticket Loan (T&C's apply) - spread the cost of your commute with an interest-free travel loan. Training & Development opportunities (T&C's apply) - access to short courses via FutureLearn and Group-wide professional development programmes. Staff Discount Scheme - via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics, etc Employee Assistance Programme - confidential support for your wellbeing, whenever you need it. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

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 a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth. Responsibilities Win new business and drive revenue for Anthropic by directly selling to Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids Navigate complex technical sales conversations with partners' engineering and product teams Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals Build deep relationships with key decision makers within partner organizations Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development Create and maintain sales playbooks specific to SI and ISV sales motions Track and forecast sales pipeline specific to the partner segment You may be a good fit if you have 7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs Security clearances preferred Strong track record of closing complex technical sales to partner organizations Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria Experience navigating technical requirements and security standards specific to public sector implementations Proven ability to exceed revenue targets in partner-focused sales roles Strong technical acumen and ability to engage with partners' engineering teams Experience coordinating with cloud providers in complex deal scenarios Excellent communication skills and ability to present to both technical and business audiences Strategic thinking combined with hands-on sales execution capabilities Understanding of public sector procurement processes and how partners operate within them A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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: Dhahran, Saudi Arabia; Mumbai, India Eram Talent is a leading recruitment company focused on connecting top talent with industry leaders. We are currently looking for a skilled Civil Engineer specializing in Transportation Planning & Traffic Engineering to join our team in Saudi Arabia. This role involves working on the design, analysis, and implementation of transportation systems that enhance mobility and ensure safety on the roads. As a Civil Engineer in this field, you will be responsible for conducting traffic studies, developing transportation plans, and collaborating with various stakeholders to improve traffic flow and reduce congestion. You will utilize advanced modeling tools and technologies to assess current transportation systems and propose innovative solutions that address both operational and environmental concerns. If selected, the work location would be onsite at Saudi Arabia. Responsibilities Interface with company representatives and government authorities to address traffic and transportation safety improvements in the Eastern Province. To act as a technical lead to various traffic safety engineering related work tasks. To oversee work being carried out by subordinate members of the engineering group. To support and guide work being undertaken by group members. To review and assist in developing scope-of-works for the company’s projects/studies (e.g., Road Safety audit, Traffic Impact study, Temporary Traffic Management, etc.) To review and provide initial inputs on design, specifications of existing/proposed roadway schemes within and around company facilities utilizing applicable industry standards and guidelines. To prepare letters, meeting notes, working papers, technical notes, reports and technical presentations. To enhance Traffic Safety Services Dept. - Engineering group staffs’ technical capacity by: establish proper training and develop efficient processes for knowledge sharing/transfer. Requirements Bachelor's degree in Civil Engineering or a related field. Minimum of 10 years of experience in transportation planning and traffic engineering. The candidate shall have technical proficiency in Highway Design, Transportation Planning & Traffic Safety Studies The candidate shall to be familiar with using international standards such as AASHTO-Green Book, HCM, HSM, MUTCD, and related ITE & FHWA guidelines. Certification Requirement: The candidate must be professional certified & licensed (i.e., PE, PTOE, PTP, RoSPA, or RSP) Proficient in traffic modeling software (e.g., VISSIM, SYNCHRO, HCS). Strong knowledge of transportation engineering principles, policies, and standards. Experience in conducting traffic studies and designing signal plans. Excellent analytical and problem-solving skills. Effective communication and teamwork abilities. Ability to manage multiple projects and meet deadlines.

Location: London, United Kingdom Workplace: none Location: London - Tower Hill Working Model: Onsite Contract: Full time, Permanent About LCCA LCCA is a contemporary higher education institution offering a diverse range of programmes designed to support both the academic and personal development of our students. At the core of our vision is a student-centred approach to learning and teaching that is progressive, innovative, and responsive to the evolving needs of learners. Our academic community is composed of experienced and forward-thinking professionals who inspire students from a wide variety of backgrounds. We strive to cultivate confidence, encourage professional and personal growth, and empower students to achieve successful and fulfilling careers. Role Summary As a member of the LCCA team, you will demonstrate a proactive, solution-focused mindset and a commitment to excellence. You will be expected to embody and promote our educational philosophy through the effective implementation of innovative teaching practices and the delivery of an outstanding student experience. The Admissions Interviewer plays a vital role within the Recruitment and Admissions team, supporting the effective management of the student admissions process while contributing to the College’s wider engagement and retention strategy. LCCA is committed to ensuring that applicants not only meet the academic entry requirements and demonstrate the necessary literacy and numeracy skills, but also possess the aptitude, enthusiasm, and commitment required to succeed in their chosen programme of study. Through the admissions interview process, the Admissions Interviewer will assess applicants’ suitability for their selected course, evaluating their motivation, readiness to learn, and ability to engage fully with the academic experience. In addition to conducting academic interviews, the role provides essential administrative support and guidance to students and academic staff across a range of areas, including enrolment, timetabling, examinations, student compliance, attendance monitoring, and student engagement activities. Working under the direction of the Admissions Manager, the Admissions Interviewer will ensure that admissions activities are delivered in accordance with institutional policies and procedures while maintaining a high standard of customer service and professionalism. The successful candidate will possess excellent interpersonal and communication skills, strong administrative capabilities, and the confidence to engage effectively with a diverse student population. They will demonstrate resilience, adaptability, attention to detail, and a proactive approach to achieving objectives in a fast-paced environment. A genuine commitment to supporting student success, engagement, and retention is essential. Key Responsibilities Evaluate applicants' academic preparedness, motivation, aptitude, and potential to succeed within their chosen programme of study. Review application materials, including academic qualifications, employment history, personal statements, portfolios, and supporting documentation. Assess applicants against published entry requirements while considering individual circumstances and diverse educational pathways. Utilise professional judgement to identify applicants who demonstrate the potential to benefit from higher education and successfully complete their studies. Ensure admissions recommendations are evidence-based, consistent, and aligned with institutional policies and academic standards. Complete detailed interview records, recommendations, and admissions evaluations within agreed service levels. Conduct fair, transparent, and inclusive admissions assessments that uphold academic standards while promoting equality of opportunity, widening participation, and compliance with UK Higher Education regulatory requirements. Ensure compliance with UK Higher Education regulatory requirements, including OfS expectations, Equality Act 2010, GDPR, and safeguarding obligations, while maintaining accurate admissions records and supporting institutional Access and Participation commitments. Maintain accurate admissions interview data and documentation using student record systems, and Microsoft Office applications. Generate reports to support decision-making, process improvements, applicant experience enhancement, and institutional recruitment goals. Provide accurate information and guidance to prospective students on admissions requirements Delivering an excellent applicant experience and referring individuals to appropriate academic, wellbeing, disability, financial, or pastoral support services where required. About You Qualifications Essential: A bachelor’s degree or equivalent qualification Knowledge & Skills Understanding of UK Higher Education admissions practices and student lifecycle principles. Knowledge of widening participation, equality of opportunity, and inclusive admissions practices. Understanding of the Office for Students (OfS) regulatory environment and student outcome priorities. Excellent communication, interpersonal, and interviewing skills. Strong written communication and reporting skills. High level of accuracy and attention to detail. Ability to make balanced, evidence-based decisions. Strong organisational and administrative skills. Proficiency in student information systems, CRM platforms, and Microsoft Office applications. Experience within a regulated higher education environment. Knowledge of Access and Participation Plans and student success initiatives. Experience supporting student engagement, retention, or outreach programmes. Teaching, academic advising, or student support experience Experience Experience working within the UK higher education, further education, admissions, recruitment, or student services. Experience handling sensitive information with discretion and confidentiality. Experience providing advice and guidance to diverse stakeholder groups. What we offer Competitive salary 20 days annual leave Pension 5% personal contribution & 3% Company contribution Season Ticket Loan (T&C's apply) Vision Express Eye Care Vouchers Training & Development opportunities (T&C's apply) Staff Discount Scheme – via My Rewards Hub, from various retailers – Fashion, Grocery, Health & Beauty, Travel, Automotive, Furniture, Dining, Sports and Leisure, Electronics etc Refer a friend scheme for staff members (T&Cs apply). Social events on campus and through GUS Social Committee "GOSH - GUS on Staff Happiness". Professional development opportunities, including training and career progression pathways. Employee wellbeing programmes and access to counselling services. Our Approach We are committed to ensuring our workforce is reflective of our diverse student population, striving to increase the representation of age, disability, gender identity and expression, religion, race, sex, sexual orientation, and socio-economic background of our employees. We’re also committed to providing adjustments to those who may require support with the recruitment process - please contact the LCCA Talent Acquisition Team collegedivisionrecruitment@gus.global Please note: For this opportunity, you must be able to prove you have the right to work in the UK - if in doubt please visit the following link Employers' right to work checklist - GOV.UK ( www.gov.uk ) . Please note we are not a licenced sponsor.

Location: Seoul, South Korea About the role Manage technical operations teams consisting of encoding operators, mastering operators and audio/media operators located in Seoul as an extension of a larger global team of individuals supporting Pixelogic’s global operation . In this role the candidate will be responsible for overseeing day-to-day deadlines, communicating with project management staff and company executives. The candidate will be responsible for overseeing day-to-day deadlines, communicating with project management staff and company executives. In addition, this position will be the primary point of contact with the global department leads located in Los Angeles, California, and will be responsible for training and documenting new/different procedures, maintaining a continuity of business procedures between Los Angeles, London, Cairo, Cape Town, Tokyo, and Seoul. The ideal candidate will have a solid understanding of the technical aspects of the various content specifications. They will be highly motivated, possess a flexible attitude, and adapt quickly in a fast paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads. Attention to detail and efficient multitasking are mandatory. Extensive knowledge of video encoding and transcoding systems is essential. A background in processing UHD media is a plus. The candidate will be trained as a Pixelogic pHelix systems expert to support, train and advise operations across APAC. The candidate will support the APAC executive team in rolling out new initiatives to customers and attending meetings as a Subject Matter Expert (SME). Responsibilities • Lead and support a large team within a time-sensitive and demanding environment. • Oversee day-to-day local technical operations. • Ensure deliveries are met. • Maintain constant communication with cross-functional support teams to ensure proper operations. • Forecast project capacity requirements and create production action plans. • Manage timely data collection to update operations metrics to achieve productivity targets, eliminate inefficiencies, and adhere to the highest service quality standard. • Continuously develop and deliver technical training programs for the technical operations team. • Train and document new/different procedures. • Implement operational policies and quality assurance protocols to meet quality standards of leading streaming service providers. • Act as the primary point of contact with the global department leads located in the US. • Collaborate and communicate directly with project management staff and company executives. • Act as the primary point of contact with the global department leads located in the US. • Partner with Technology team to introduce and improve proprietary tools and systems. • Continuously researching and identifying new tools and systems to enhance operational workflows and capabilities. • Ensure information security objectives are translated into tactical goals that guarantee information security objectives are met and exceeded. • Become a pHelix systems expert and provide support as needed to ensure continuous worldwide operations. Support, train and advise the local Project Management staff as needed. • Support the APAC executive team and participate with customers as a SME. • Other related tasks as assigned to fulfill responsibilities. Requirements ·         Fluency in English and Korean ·         Bachelor’s degree or equivalent trade-specific education ·         Management experience ·         8 + years of experience in Digital Media and post-production project management. ·         2+ years in audio post-production or media service projects for film and tv ·         Excel and other MS Office application software ·         Non-linear video workstation editor skills ·         Experience in post-production media workflows including tools such as Telestream Vantage, Da Vinci Resolve, Adobe Premiere, and ProTools. ·         Clear understanding of subtitling specifications and formats, audio sample rates, video frame rates and compressions, SMPTE timecode, and traditional multi-channel audio configurations (2.0, 5.1, 7.1) is necessary. ·         Familiarity and working knowledge with some of the tools and applications including but not limited to DVS Clipster, Colorfront Transkoder, and Aurora are essential. ·         Clear understanding of 4k(UHD) and HDR is required. ·         Experience in IMF mastering is a huge plus. ·         Proficient with Mac OS, Windows, and Linux systems. ·         Demonstrable experience in picture and audio editing and transcoding is required. ·         Solid knowledge of digital file formats. ·         Knowledge of color space, aspect ratio, transfer characteristics, video and audio codecs, compression, and other characteristics associated with media is required. ·         Problem solver with a creative and innovative approach with the ability to think out of the box. ·         Ability to multitask. ·         Excellent communication skills. ·         Passionate about quality, customer experience, and customer service excellence. ·         Ability to handle high-pressure situations and sensitive information. ·         Ability to prioritize, manage orders and work well close to deadlines whilst producing high-quality work. ·         Detail oriented and strong organizational skills. ·         Ability to operate on own initiative while also working in a collaborative environment. ·         Ability and willingness to learn new methods, procedures, or techniques and take on new tasks. ·         Experience managing a team to meet deadlines. ·         Ability to understand, correct and document procedural issues in the operation. ·         Excellent communication skills over phone and email ·         Deep sense of urgency and ability to work in a fast-paced environment with self-direction. ·         Problem solver with a creative and innovative approach and ability to think out of the box. ·         Outstanding attention to detail ·         Ability to work flexible shifts and hours as required to support operations. Benefits Equal Opportunity Employer We are an equal opportunity employer. Our employment decisions are made without regard to race, religion, color, gender, gender identity, disability, age, sexual orientation, national origin, marital status, citizenship, veteran, military, or any other legally protected status. 고용 평등 기업 저희는 고용 평등 기업으로, 인종, 종교, 피부색, 성별, 성 정체성, 장애, 나이, 성적 지향성, 국적, 결혼 유무, 시민권, 참전용사, 군인 혹은 기타 법적 보호를 받는 지위가 채용 결정 시 아무런 영향을 주지 않습니다. Benefits & Perks Robust pension plan Global company with a diverse and inclusive environment Career development, learning programs focused on sharpening leadership skills Collaborative, team-based structure

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 As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously. You will ground projections in microeconomic signals from the Anthropic Economic Index — usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system , we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation Analyze questions of income distribution and economic governance under transformative-AI scenarios Contribute to the development of AI-powered research tools for economics Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise Build and maintain relationships with academic institutions, policy think tanks, and other research partners Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have PhD in Economics, or an exceptional candidate close to completion Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against Relevant experience in some of: Macroeconomic modeling and structural estimation Scenario-based and time-series forecasting Task-based approaches to technological change Computational methods, agent-based modeling, or large-scale simulation Income distribution and inequality Using large language models in the research workflow Technical skills including: Proficiency in Python, Julia, or similar for computational economics Facility with AI coding agents as part of a research workflow Comfort learning new technical tools and frameworks Demonstrated ability to: Lead research projects from conception to publication Ship on tight timelines and revise in public as new data arrives Communicate technical findings to diverse audiences Strong interest in ensuring AI development benefits humanity Some Examples of Our Recent Work Labor market impacts of AI: A new measure and early evidence Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI. Deadline to apply: None. Applications are reviewed on a rolling basis The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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 | 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 team is responsible for enforcing our policies, protecting users, and ensuring our platform is not misused. As a Safeguards Enforcement Analyst focused on Safety Evaluations, you'll play a central role in ensuring our models meet safety and policy standards before and after launch. You'll run and monitor evaluations, drive mitigations when issues surface, coordinate the creation of new evals, and help build the processes and documentation that allow the team to scale this work over time. This role requires someone who is detail-oriented, comfortable navigating ambiguity, and capable of coordinating across teams to break new ground and drive work to completion. This work is deeply cross-functional — you'll partner closely with policy experts, Safeguards engineering teams, and many other stakeholders throughout the organization to ensure our evaluations are comprehensive and current, and that findings translate into meaningful improvements to model behavior. Responsibilities Support model launch readiness by running evaluations, monitoring and interpreting results, and surfacing regressions or unexpected behavior changes to relevant stakeholders Partner closely with policy and domain experts throughout the evaluation lifecycle — from identifying risks and scoping the right evaluation approach, to coordinating creation of new evals and ensuring existing ones remain current with evolving policies, threat vectors, and model capabilities Work with cross-functional stakeholders to help manage evaluation outcomes, including interpreting results and driving mitigations where needed Think strategically about eval quality to build processes and eval paradigms that keep evaluations unsaturated, high-signal, and insightful as models improve Build out processes and frameworks for creating product-specific evaluations as Anthropic's product surface area expands Help design and scope tooling improvements that accommodate evolving eval needs and expand self-serve eval creation and iteration for non-technical users Write and maintain rigorous documentation for evaluation creation, execution, and interpretation as the team builds out eval tooling and processes You may be a good fit if you: Have experience in trust and safety, content operations, policy enforcement, or a related operational role at a technology company Thrive in ambiguous, fast-moving environments — you're energized rather than frustrated when the path forward isn't clearly defined and you need to figure it out as you go Have experience building processes, workflows, or programs from scratch (zero-to-one work), not just maintaining existing ones Have strong program management instincts, naturally creating structure around complex, multi-stakeholder efforts by tracking timelines, dependencies, and deliverables to keep work on track Are eager to expand your technical toolkit, including adopting internal tools and AI-assisted workflows (e.g., Claude Code) to accelerate your work Can manage multiple concurrent workstreams across different domain areas without losing track of details — strong prioritization and context-switching are essential when deadlines and priorities shift quickly Are a strong generalist comfortable moving fluidly across different types of work and switching contexts throughout the day Are comfortable making judgment calls with incomplete information and escalating appropriately when needed Communicate clearly and concisely, both in writing and cross-functionally Strong candidates may also have: Experience operating under tight, high-stakes timelines — such as product launch cycles, incident response, or regulatory deadlines — where information and priorities can shift with little notice Experience coordinating across engineering, policy, and product teams to translate findings into concrete action Experience building and maintaining SOPs, runbooks, and operational documentation in fast-changing environments Proficiency with data tools (SQL, dashboards, spreadsheets) sufficient to maintain and improve workflows Comfort working with sensitive content areas as part of eval creation or enforcement review responsibilities 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: $230,000 — $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: USA Workplace: Remote Moonshot is the “Robinhood for DeFi”—an iOS and Android app that lets anyone trade cryptocurrencies on-chain through a user-friendly interface. Since our launch in July 2024, we’ve attracted 2M+ users. Our mission: Make moonshots possible for everyone. Our vision: Make a world where life-changing financial outcomes are within everyone's reach. Everyone on our team is both a decision-maker and an implementer—united by a sense of urgency and driven by the conviction that our work can transform global finance. If you thrive on curiosity, welcome tough challenges, and aspire to leave a meaningful mark on the world, Moonshot is the place for you. You’ll run toward the hardest problems alongside high-caliber teammates who consistently push each other to excel and who share your dedication to shaping the future of decentralized finance. This role is full-time, preferably located in NYC. Open to remote for the right candidate. THE OPPORTUNITY As a Senior Backend & Platform Engineer at Moonshot, you’ll own some of the most critical systems in our stack: identity and access, funds movement and ledgering, and the blockchain infrastructure that powers our on-chain trading. This role is similar to staff engineers at leading crypto wallets and exchanges who own authentication stacks, key management, and high-scale financial backends. You’ll design, build, and operate systems that must be both highly reliable and extremely secure, enabling product teams to move quickly on a solid foundation. WHAT YOU’LL DO - Design, build, and operate Identity & Access Management services: - Authentication flows, sessions, device trust. - Authorization and entitlements (roles, permissions, policies). - Security controls such as MFA and key management (working with security teams). - Own financial operations systems: - Transfers and payments orchestration. - Ledgering and reconciliation flows. - Limits, risk controls, and transactional correctness. - Build and maintain blockchain infrastructure: - Node and RPC management. - Transaction submission, monitoring, and retry logic. - Indexing and streaming of on-chain data into internal services and data stores. - Define and uphold reliability and observability standards: - SLOs and error budgets for core services. - Dashboards, alerts, runbooks, and incident management practices. - Lead large, cross-functional technical projects from design through rollout, collaborating with Product, Security, and Ops. - Mentor and guide other engineers, contributing to engineering standards, design reviews, and documentation. - Stay close to industry best practices in auth, key management, and secure infrastructure for crypto and trading. WHAT WE LOOK FOR IN YOU - 5–12+ years of backend or product or platform engineering, including experience with high-scale, high-availability systems in fintech, crypto, or similar domains. - Deep expertise in at least one of: - Identity & access / security engineering - Financial systems / ledgering / payments - Blockchain infrastructure / on-chain data - Strong experience designing and operating distributed systems (datastores, queues, streaming, background workers). - Track record driving architecture decisions and seeing them through implementation and adoption. - Strong operational mindset: monitoring, on-call, incident response, and postmortems. - Excellent collaboration skills, especially with Product, Security, and Ops. NICE TO HAVES - Experience with Flutter, React Native, React, Headless CRMs - Experience with Go, Rust, Solana - Experience with Google Cloud or Amazon Web Services - Experience with crypto wallets, exchanges, or onchain protocols including DeFi, L2s, ZK - Exposure to data warehousing and analytics for financial reporting. - Contributions to open-source projects. LOCATION - NYC preferred (with periodic in-person sprints). - Remote-friendly within the United States and Canada; travel ~1wk/quarter COMPENSATION & PACKAGE - Competitive salary and meaningful equity. - 5% 401(k) match. - Health benefits with employer-covered premiums, plus life insurance coverage. - One-time office setup stipend. - Flexible PTO.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India; Dubai, United Arab Emirates Müller’s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization. Key Responsibilities: Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML. Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements. Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity. Implement and optimize AI workflows that facilitate real-time data processing and inference. Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings. Provide technical guidance and support to teams on best practices for using Google Cloud AI services. Document AI project implementations, model performance evaluations, and ongoing maintenance procedures. Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders. Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness. Requirements Requirements: Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform. Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn). Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Ability to work with large datasets, utilizing BigQuery or similar data processing tools. Excellent problem-solving skills and a strong analytical mindset. Capable of communicating complex technical concepts to diverse audiences effectively. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus. Experience with MLOps practices and tools for model deployment and management. Familiarity with DevOps practices as they relate to AI and machine learning. A background in statistics or applied mathematics is desirable. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Boston, MA; New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the life sciences ecosystem, spanning biotech, pharma, and medtech. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with pharmaceutical, biotech, and medical device companies. You’ll bring deep domain fluency across the segment to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior life sciences stakeholders, helping them embed and deploy AI across the product lifecycle from discovery through commercialization. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across each sub-segment. The ideal candidate has a passion for developing new market segments within life sciences, pinpointing high-potential opportunities across R&D, clinical, regulatory, manufacturing, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across biotech, pharma, and medtech organizations, you’ll help life sciences enterprises accelerate the path from science to patients while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering biotech, pharma, and medtech accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to each sub-segment’s distinct procurement cycles - R&D and commercial budgeting in pharma and biotech, product development and quality budgets in medtech, and enterprise IT and digital transformation programs across all three - translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across drug discovery, clinical development, regulatory affairs, medical affairs, manufacturing and quality (GxP), pharmacovigilance, and commercial functions, partnering cross-functionally to differentiate Anthropic’s offering for life sciences use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic’s domain expert across the life sciences value chain - including discovery research, clinical trial operations, regulatory submissions, device development and post-market surveillance, and commercial launch - and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite executives (CEOs, CIOs, CDOs, CSOs, Heads of R&D, CCOs) across biotech, pharma, and medtech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from scientists, clinical operations teams, regulatory and quality leaders, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment Build strategic relationships with life sciences-focused system integrators, technology vendors, CROs, and industry organizations to scale go-to-market capabilities Establish Anthropic’s position as the AI partner of choice across life sciences through conference presentations, white papers, case studies, and participation in industry forums Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across biotech, pharma, and medtech accounts Minimum qualifications 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within biotech, pharma, or medtech organizations (R&D, clinical, regulatory, manufacturing, or commercial functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in life sciences settings Deep understanding of business models, operations, and economics across at least one of biotech, pharma, or medtech - including the regulatory environment (FDA, EMA, GxP, 21 CFR Part 11) and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within life sciences organizations, securing strategic deals by understanding both technical requirements and scientific, regulatory, and commercial use cases Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across life sciences audiences - from scientists and clinical leaders to C-suite executives A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across two or more of biotech, pharma, and medtech organizations A strategic, analytical approach to assessing the life sciences market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning drug discovery, clinical development, regulatory and quality, manufacturing, or commercial functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications in life sciences, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 — $550,000 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: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are hiring our first Tokyo-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English. Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday. Responsibilities: Become an expert in all Anthropic products Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries. Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products You may be a good fit if you: Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team. Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC. Are proficient at working in a technical environment and are interested in Anthropic’s products Possess a deep sense of ownership, and are excited to help us build our team! Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Dubai, United Arab Emirates MIRA Construction is looking for an experienced and hands-on Operations Manager / Project Manager for one of our projects in Bakery Industry. We are looking for a professional to oversee and optimise the daily operations of the bakery business . The ideal candidate has relevant experience in bakery, hotel, or restaurant industries and a strong background in managing teams, processes, and resources. Key Responsibilities : - Oversee and coordinate daily operations of the bakery. - Manage HR-related processes: payroll, recruitment (if needed), onboarding, and staff qualification training. - Ensure smooth supply chain and handle procurement, inventory, and delivery logistics. - Coordinate maintenance and repair tasks to ensure equipment and facilities are in excellent condition. - Monitor performance and implement operational improvements to increase efficiency and quality. - Collaborate with management to plan and execute operational projects. Requirements - Proven experience as an Operations Manager or Project Manager, preferably in the bakery, hospitality, or restaurant industry. - Strong organisational and leadership skills. - Knowledge of supply chain management and operational best practices. - Excellent communication and problem-solving skills. - Ability to work in a fast-paced environment and handle multiple tasks. - Fluent English & Arabic Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage; Opportunity to develop and grow within a dynamic environment. Friendly and supportive team.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends. You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs. You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment. Responsibilities: Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity You may be a good fit if you: Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements Have experience working with research or ML teams and translating their needs into operational plans and technical requirements Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership Have a track record of building trust with engineering teams and driving changes through influence rather than authority Strong candidates may also have: Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers) Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.