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Location: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to engage with state and local governments in the Western United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will report to Anthropic's Head of Western State and Local Affairs and coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across many Western states, including a support role in California  —engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities Serve as Anthropic's lead for state and local government affairs across many Western states, working in close coordination with the Head of Western States and other Regional State and Local Affairs Leads Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI Work with the Communications team to develop clear, accurate messaging for regional policy campaigns Translate Anthropic's technical research and policy positions into engagement strategies tailored to Western state political environments Manage the outside advisors and registered lobbyists who support Anthropic's work in your region Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications Align with our mission and embrace the imperative of policy impact and change Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes Have existing relationships with state and local leaders in the West, including legislators, governors' offices, attorneys general, or county and municipal officials Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles Are prepared to travel regularly across the region Preferred qualifications Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities Have exposure to technology policy or emerging technology regulation; you understand the unique challenges of navigating policy for rapidly evolving technologies Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments Can work well under time pressure and manage competing demands Can translate complex technical topics into clear, accessible language for policymakers and residents alike Have experience working with communications teams to develop effective messaging for policy campaigns Are comfortable being honest about tradeoffs, including in rooms where people disagree with us Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty 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 — $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Monterrey, Mexico; Montevideo, Uruguay; Odesa, Ukraine; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a very senior hands-on Data Engineer with strong SAP BW and Snowflake experience who has led engineering teams. About 70% of the engineering work is extracting data from SAP BW and integrating it into Snowflake. You will work side by side with a recently appointed Engineering Manager who comes from a non-engineering background, helping them build engineering leadership skills. Together you will grow the team toward independent, high-performing delivery: operating model, engineering practices, standards and delivery discipline. The goal is for the client's team to run independently within about a year. You will get there through coaching-by-doing and knowledge transfer rather than long-term vendor dependency. The client is headquartered in Southern California, USA. Working on site for the first 4–6 weeks is mandatory for this role, to build trust and work directly with the Engineering Manager and the team. After that, you will be on site a few days a week during the following weeks. A valid US visa, or the ability to obtain one quickly, is required. The project supports a large international consumer goods company that is scaling its Snowflake-based data platform. Selected datasets are moved from SAP BW into Snowflake one business case at a time. They feed data products for sales and distribution, retail and market analytics, and e-commerce. The platform is already critical to the business: hundreds of business users work every day with AI-powered analytics built on Snowflake Cortex and Streamlit. Design, build and run data pipelines from SAP BW into Snowflake, including full and delta loads Do hands-on engineering work while coaching the Engineering Manager and the team Help the Engineering Manager build engineering leadership skills: planning, code quality, technical decision-making, managing engineers and contractors Establish reusable ingestion, modeling and data quality patterns for the team Define and roll out engineering standards: code review, testing, CI/CD, documentation, delivery discipline Deliver data products for sales, distribution and retail analytics in close collaboration with business stakeholders Work with a distributed team of internal engineers and external contractors across time zones Reduce key-person dependency through knowledge transfer and pairing Help introduce AI-assisted and agentic engineering practices across the development lifecycle Work with the Lead Architect to keep delivery aligned with target architecture and governance 7+ years of hands on data engineering experience including lead roles Hands on experience extracting data from SAP BW into a cloud data warehouse Strong hands on experience with Snowflake including data loading performance cost awareness security and access model Experience with data modeling approaches such as dimensional modeling or Data Vault Experience with data quality practices Experience with dbt Experience leading a team of around 10 engineers Experience coaching a manager or team lead into an engineering leadership role through hands on collaboration Experience working with distributed teams and external contractors or vendors Experience applying AI in engineering or data work with a concrete example of problem solution tools and outcome English Upper Intermediate or higher Readiness to work on site in Southern California for 4–6 weeks at the start of the engagement Experience with SAP BW/4HANA, SAP Datasphere or migrations from SAP to cloud platforms Snowflake Cortex, Streamlit or semantic layer experience CPG, retail or distribution domain; retailer data platforms or syndicated market data (POS, Nielsen-type datasets) Experience building an engineering operating model or data engineering maturity roadmap Exposure to Microsoft Fabric or Databricks Experience with international client-facing engagements

Location: Lomira, WI Project Procurement Manager Location: Project-Based (Wisconsin, Missouri, Wyoming, Texas, and future project locations) Employment Type: Full-Time Work Environment: Primarily Site-Based (Long-Term Project Assignments) Lead Procurement and Supply Chain Strategy for World-Class Mission-Critical Infrastructure Delivering hyperscale data centers requires far more than purchasing materials and equipment. Successful project execution depends on proactive supply-chain planning, long-lead equipment management, supplier engagement, manufacturing visibility, logistics coordination, and cross-functional alignment between procurement and construction operations. As a Project Procurement Manager with Michels Infrastructure Solutions, you will lead the procurement and supply-chain strategy supporting major hyperscale data center developments. Your efforts will help ensure materials, equipment, and services are available when needed to support aggressive construction schedules, critical project milestones, and successful field execution. Working across project teams and the Michels Family of Companies, you will coordinate purchasing activities, manage strategic supplier relationships, mitigate supply-chain risks, and maintain alignment between procurement activities and the overall construction plan. About Michels Infrastructure Solutions Michels Infrastructure Solutions (MIS) brings together the full capabilities of the Michels Family of Companies under a Super General Contractor (Super GC) model, providing mission-critical owners and developers with a single point of accountability for every phase of project execution. By combining self-performed specialty design, construction, and commissioning services, MIS delivers large-scale, multidisciplinary projects with greater control over safety, quality, schedule, and cost. MIS specializes in the delivery of hyperscale data centers and mission-critical facilities, leveraging expertise across mass grading and site development, wet and dry utilities, fiber and telecommunications infrastructure, ground improvement, deep foundations, structural concrete, power infrastructure, and commissioning. Our integrated delivery approach enables customers to partner with a single-source team capable of executing some of North America's most complex and demanding infrastructure projects. Position Overview As a Project Procurement Manager , you will lead all procurement and supply-chain activities supporting major hyperscale data center construction projects. You will develop and execute procurement strategies, lead assigned procurement professionals, manage supplier relationships, and ensure purchasing activities remain aligned with project schedules, budgets, quality standards, commercial requirements, and procurement governance. During the early phases of project delivery, you will play a critical role in procurement planning associated with site development, underground utilities, telecommunications infrastructure, structural concrete, power infrastructure, and long-lead electrical and mechanical systems required to support mission-critical operations. A key aspect of this role is coordinating procurement activities across the Michels Family of Companies supporting the project. You will maintain visibility into purchasing activities, supplier commitments, manufacturing milestones, inspections, deliveries, long-lead equipment, and supply-chain risks across multiple scopes and business units. You will help establish procurement strategies that align purchasing activities with evolving project schedules, construction phasing plans, and long-term campus development objectives. Success requires strong procurement and commercial expertise, leadership capabilities, strategic thinking, and the ability to influence cross-functional teams. You will play a critical role in maintaining supply continuity, protecting project schedules, and ensuring successful project execution. Key Responsibilities Develop and execute project procurement strategies aligned with construction schedules, budgets, project objectives, and customer requirements. Lead and coordinate procurement activities across affiliated Michels companies supporting multidisciplinary construction scopes. Develop procurement strategies supporting large-scale site-development and infrastructure construction activities. Identify long-lead equipment and material requirements early in the project lifecycle and develop mitigation plans for supply-chain risks. Coordinate procurement activities supporting civil construction, utility infrastructure, telecommunications systems, structural concrete operations, power infrastructure, commissioning systems, and mission-critical facilities. Manage and develop procurement professionals assigned to the project, including Buyers, Procurement Specialists, Expeditors, and related personnel. Establish procurement priorities, responsibilities, resource requirements, performance expectations, and reporting standards. Identify, evaluate, and mitigate procurement, supply-chain, commercial, quality, supplier, manufacturing, and schedule risks before they impact project execution. Ensure procurement activities comply with project specifications, budgets, delivery requirements, quality standards, and procurement governance requirements. Maintain strong supplier relationships and lead commercial interactions supporting project procurement needs. Provide procurement visibility to project leadership through milestone tracking, forecasting, reporting, and risk assessments. Ensure procurement plans remain aligned with changing construction priorities, project phasing strategies, and schedule requirements. Promote a strong health, safety, environment, and quality culture throughout procurement, supplier, and material-management activities. What You'll Do Develop and maintain a comprehensive procurement schedule integrated with the project master schedule. Manage procurement activities supporting mass grading, wet utilities, dry utilities, telecommunications infrastructure, structural concrete, power infrastructure, commissioning systems, and mission-critical construction activities. Track critical procurement milestones including requisitions, bid events, evaluations, approvals, purchase orders, manufacturing progress, inspections, shipping milestones, and final delivery. Maintain visibility into procurement plans, supplier commitments, purchase orders, material availability, manufacturing progress, and delivery schedules. Coordinate purchasing activities across affiliated Michels companies to ensure individual scope requirements remain aligned with the overall project execution plan. Lead procurement readiness reviews supporting major construction milestones and execution phases. Coordinate closely with Project Management, Engineering, Construction Operations, Project Controls, Scheduling, QA/QC, Logistics, HSE, Finance, Legal, Risk, and other project stakeholders. Monitor supplier performance, manufacturing progress, delivery commitments, market conditions, and emerging supply-chain risks. Lead supplier-expediting activities and corrective action efforts when procurement delays threaten project milestones. Develop recovery plans when supplier performance, manufacturing schedules, logistics constraints, or material availability threaten project objectives. Coordinate with Logistics Managers, Construction Managers, Project Controls personnel, and supplier partners to ensure material readiness aligns with field execution requirements. Identify and escalate cross-company procurement conflicts, schedule impacts, supplier issues, and commercial risks. Manage supplier relationships while supporting negotiations, commercial commitments, issue resolution, and performance management. Support resolution of supplier disputes, delivery delays, quality concerns, and commercial issues in partnership with project stakeholders. Monitor procurement commitments, forecasts, budgets, and cost performance in coordination with Project Controls and Scheduling. Maintain accurate, complete, and audit-ready procurement documentation, approvals, contracts, commercial records, and project files. Develop and report procurement KPIs, forecasts, supply-chain risks, supplier scorecards, performance metrics, and corrective actions to project and business leadership. Participate in supplier qualification activities, supplier meetings, manufacturing visits, site visits, inspections, and audits as required. Provide procurement input to risk assessments, lessons learned, project execution planning, and continuous-improvement initiatives. Leadership & Team Development Lead, coach, and develop procurement professionals assigned to the project. Establish clear priorities and accountability across purchasing, expediting, supplier management, and procurement-reporting activities. Build a collaborative procurement environment that promotes ownership, communication, accountability, and timely decision-making. Partner with procurement teams across affiliated Michels companies to coordinate resources and align purchasing activities. Build strong relationships with strategic suppliers supporting mission-critical infrastructure, power, utility, telecommunications, and hyperscale-construction markets. Promote collaboration between procurement, logistics, construction, project controls, engineering, and operations teams. Identify opportunities to improve procurement processes, tools, reporting systems, and project delivery practices. Foster a culture of continuous improvement while developing current and future procurement professionals. Why Michels Infrastructure Solutions, Inc.? We deliver some of North America's largest and most complex hyperscale data center and mission-critical infrastructure projects. Our Super GC model brings together specialty design, construction, procurement, and commissioning capabilities through a single-source execution approach. You'll work across major civil, utility, structural, power, telecommunications, and mission-critical construction scopes. We provide opportunities to lead procurement and supply-chain strategies supporting some of North America's largest hyperscale data center developments. We provide exposure to every phase of project delivery, from greenfield site development through commissioning and turnover. We are family owned and operated. We invest an average of $5,000 per employee per year in training and career development. We perform challenging, meaningful work that supports cloud computing, artificial intelligence, digital connectivity, and economic growth. We believe everyone is responsible for promoting safety, regardless of job title. We are part of the Michels Family of Companies, one of North America's largest and most diversified energy and infrastructure contractors. Comprehensive Benefits Package Health Insurance Dental Insurance Life Insurance Flexible Spending Accounts (FSA) Health Savings Account (HSA) Short-Term Disability Insurance Long-Term Disability Insurance 401(k) Retirement Plan Legal Plan Identity Theft Protection and Monitoring Plan Benefits may vary based on position and location. Why You? You like to surround yourself with dedicated, value-driven people. You relish new challenges and evolving technology. You cringe when you hear: “Because that's the way we've always done it.” You enjoy building strong supplier relationships and solving complex procurement challenges. You thrive when coordinating multiple teams around a common project objective. You enjoy developing strategies that protect schedules and reduce supply-chain risk. You excel at balancing cost, schedule, quality, and commercial objectives. You like to know your efforts are noticed and appreciated. You want to make your own decisions, but know support is always available. You want to work to make a difference. What It Takes Bachelor's degree in Supply Chain Management, Business, Construction Management, Engineering, or a related field preferred; an equivalent combination of education and experience will be considered. 10+ years of progressive experience in procurement, purchasing, supply-chain management, commercial management, or related functions. Demonstrated experience leading procurement, supply-chain, materials-management, or commercial activities supporting large-scale EPC, heavy civil, utility, power, industrial, mission-critical, telecommunications, or hyperscale data center projects. Experience leading procurement activities against complex construction schedules, budgets, delivery milestones, and project objectives. Experience procuring materials and equipment supporting earthwork, underground utilities, structural concrete, power infrastructure, telecommunications systems, industrial facilities, or mission-critical projects preferred. Demonstrated ability to identify and mitigate procurement, supply-chain, commercial, supplier, manufacturing, and schedule risks. Strong knowledge of purchasing processes, procurement governance, commercial terms, supplier relationship management, and modern supply-chain practices. Experience developing and managing project procurement schedules, including long-lead equipment and material-planning programs. Experience supporting long-lead equipment procurement, manufacturing oversight, supplier expediting, logistics coordination, and schedule-driven procurement programs. Experience with supplier expediting, manufacturing milestone tracking, inspection coordination, logistics planning, and delivery management. Demonstrated ability to lead and develop procurement teams, including Buyers, Procurement Specialists, Expeditors, and related personnel. Ability to coordinate across multiple business units and influence cross-functional stakeholders without direct authority. Experience working within integrated project teams involving Engineering, Procurement, Construction, Project Controls, Logistics, Quality, Safety, Finance, Legal, and Operations functions. Ability to interpret procurement data, evaluate commercial information, analyze supplier performance, and communicate procurement status and risks to executive leadership. Strong negotiation, communication, organizational, analytical, strategic decision-making, and problem-solving skills. Proficiency with procurement systems, ERP platforms, Microsoft Office Suite, and project reporting tools. CPSM, CSCP, CPCM, or equivalent supply-chain or contracts certification preferred but not required. Experience coordinating procurement across affiliated companies or multiple business units within a complex project-delivery organization preferred. Ability to support long-term, site-based assignments at hyperscale data center and mission-critical construction projects throughout North America. This position is primarily project-based and requires regular interaction with field operations, project leadership, suppliers, and procurement teams. Initial project opportunities are expected to be located in Wisconsin, Missouri, Wyoming, and Texas, with future assignments determined by business needs and project awards. Join a company that powers progress. Be a part of Michels Infrastructure Solutions, Inc. where you don't just build projects, you build a career. #LI-AS1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Runway is looking for a Marketing Manager to help build and scale high-impact marketing programs across our creator, partner, sponsorship, and growth ecosystem. This is a generalist marketing role for someone who can move fluidly between strategy and execution. Some immediate areas of focus include influencer creator partnerships, sponsorships, and partnership marketing. The right person is commercially minded, highly organized, creative, and comfortable operating in ambiguity. We are looking for someone who can build repeatable programs, manage relationships, and execute campaigns to turn marketing ideas into measurable growth. WHAT YOU’LL DO - You will own and support marketing programs that help Runway reach priority audiences, grow demand, and deepen our presence among our target audiences. - In the near term, this will include managing creator and influencer partnerships including affiliates, evaluating sponsorship opportunities, and building co-marketing programs with customers, technology partners, model providers, vendors, and ecosystem partners. - You will work across the full program lifecycle: identifying opportunities, developing briefs, managing outreach, coordinating execution, tracking performance, and recommending what to scale, change, or stop. - You will partner closely with growth, creative, comms, events, PMM, sales, business development, legal, and finance to make sure programs are clear, on-brand, operationally sound, and connected to business outcomes. WHAT WE’RE LOOKING FOR - We’re looking for a marketing generalist with strong executional judgment and enough strategic range to work across multiple types of programs for a range of B2C and B2B audiences. - Experience managing creator partnerships with a clear view of how long-form content performs differently from short-form and other social channels. - 4+ years of experience building marketing campaigns, influencer, affiliate, or growth programs from 0 to 1. - Experience managing external relationships: creators, sponsors, agencies, freelancers or vendors. - Experience writing briefs, managing timelines, coordinating stakeholders, and translating broad goals into concrete plans. - Strong taste, communication skills, and judgment around brand, audience fit, creator quality, partner value, business impact, and operational tradeoffs. - You should be comfortable with ambiguity and able to build from scratch. This role requires someone who can create structure where it does not yet exist, but without slowing the team down with unnecessary process. - You should care about measurement and be able to connect marketing programs to outcomes such as subscriptions, ARR, and enterprise pipeline influence. NICE TO HAVE - Experience in AI, SaaS, subscription products. - Experience creating partner-facing materials such as briefs, sponsorship packages, or co-marketing materials. - Familiarity with Runway, AI video, creator communities, internet culture, and the broader creative technology ecosystem. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; 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 Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Washington DC WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is bringing its AI platform to the U.S. federal government — defense and civilian agencies whose legal, acquisition, and program teams are asking how to adopt AI responsibly. You will be Harvey's first Solutions Architect dedicated to public sector: the technical lead on federal opportunities, the person who designs how Harvey is deployed securely inside government environments, and the one who writes the playbook the rest of the team will follow. You will sit at the intersection of Harvey's platform, agency stakeholders (legal, IT, security, acquisition, and program offices), and our Security & Trust, Legal Engineering, Product, and Customer Success teams. This is an opportunity to help define how AI is adopted across the federal government and to build a flagship public-sector practice at one of the fastest-moving companies in applied AI. WHAT YOU'LL DO - Lead technical discovery and solution design for federal prospects and customers — defense and civilian — working with legal, IT, security, acquisition, and program stakeholders. - Design, document, and defend secure, compliant architectures for Harvey in government environments, including Harvey's FedRAMP High environment, identity and access patterns, integrations, and data-handling requirements (CUI, records retention, auditability). - Own the technical thread on a focused portfolio of high-impact federal accounts, from first conversation through rollout, adoption, and expansion. - Be the field-facing technical partner to Security & Trust on agency security reviews — FedRAMP High controls, DoD Impact Levels, ATO and authorization boundaries, NIST 800-53 — and translate them for program owners and counsel. - Work with Legal Engineers and Customer Success Managers to turn agency workflows and legal or policy use cases into concrete solutions, reusable patterns, and implementation playbooks. - Be the public-sector technical voice back into Harvey, synthesizing field feedback to inform roadmap, evaluation criteria, deployment options, and government-specific documentation. - Represent Harvey's technical perspective in public-sector forums — customer workshops, working groups, and stakeholder briefings — helping agencies understand both the possibilities and the limits of current AI systems. - Build the public-sector Solutions Architecture playbook — qualification, security review, deployment patterns, and enablement — so the practice can scale beyond one person. WHAT YOU HAVE - 7+ years in solutions architecture, sales engineering, forward-deployed engineering, or a similar customer-facing technical role. - Direct experience selling to or supporting U.S. federal customers (Department of Defense and/or civilian agencies) at a SaaS or cloud provider, including navigating agency security reviews and procurement. - Working knowledge of federal compliance frameworks and how they shape deployment — FedRAMP, NIST 800-53, DoD Impact Levels, ATO processes — and the ability to explain them to CISOs and program managers alike. - Hands-on depth in SaaS security and identity architecture: SSO/SAML, SCIM, encryption and key management, data residency, audit logging. - Clear communication with technical and non-technical audiences — from program managers and attorneys to CISOs and enterprise architects — and credibility with senior public-sector stakeholders. - Hands-on engagement with modern AI systems (LLMs, prompt design, evaluation, deployment patterns) and a desire to help agencies adopt them responsibly. - Comfort operating in an emerging practice area: energized by ambiguity, willing to build new playbooks, motivated by real-world impact on public services. PREFERRED - Prior government service or military experience. - Experience with Azure Government or other government cloud environments. - Experience selling through federal systems integrators or contract vehicles. - Background in legal, e-discovery, or other document-heavy enterprise workflows. COMPENSATION $218,800 - $300,900 USD OTE with a 80/20 split LOCATION Remote within Washington, DC area - travel approximately 25–40% to agency and partner sites. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-TM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Freeport, United States About the Opportunity We are seeking an experienced, results-driven Operations Manager / Project Manager to take full ownership of commercial concrete restoration, waterproofing, and exterior building envelope repair projects. This is an active, on-site field leadership position. You will oversee projects from initial preplanning and scheduling through execution, financial tracking, and final closeout. As a core member of the management team, you will be accountable for field results. You will directly manage multi-faceted project sequences and lead up to 20+ field personnel and site leads. If you are a disciplined construction professional who thrives on hands-on coordination, real-time decision-making, and strong quality control, we want you on our team! Key Responsibilities Preplanning & Setup: Review contracts, drawings, and specifications. Perform structural and architectural plan reading. Build, update, distribute, and drive project schedules using Microsoft Project. Set up, manage, and ensure project documentation in Procore. Plan labor, material, equipment, and sequencing. Lead meetings, organize activities, and report project progress to stakeholders. Work in Place (Execution): Manage, assign, and guarantee day-to-day field operations and work-in-place activities. Responsible to make sure that the delivery of concrete restoration work is completed in alignment with plans and specifications. Plan, adapt, and drive daily schedules accounting for delays, weather, trade coordination needs, or changes. Enforce strong QA/QC processes with in-progress inspections. Resource & Labor Management: Manage and report labor productivity, onsite material handling, storage, and utilization. Manage equipment rentals. Directly lead, mentor, and coordinate a field workforce of 20+ leads and personnel. Financial & Contract Management: Track budgets, costs, and forecasts. Manage change orders and pay applications. Ensure compliance with contract requirements. Maintain accurate reporting and cost controls. Project Closeout: Drive punch list completion and final inspections. Deliver closeout documents and warranties. Finalize project financials and reporting. Qualifications Experience: 5+ years of progressive experience managing commercial concrete restoration, waterproofing, or building envelope projects. Leadership: Proven track record leading self-performing, hands-on field teams and managing 20+ field personnel and key leads. Technical Skills: Advanced proficiency in reading and interpreting structural and architectural plans. Strong understanding of construction budgets, cost controls, and contract management. Software: Proficiency in Microsoft Project, Excel, Word, Outlook, and Procore. Languages: Bilingual (English/Spanish) is highly preferred. WHY APPLY? True Project Ownership: You aren't just sitting behind a desk. This role gives you the autonomy to drive high-impact, multi-faceted commercial restoration projects from the initial planning stages all the way to the final handshake. Direct Seat at the Table: As a vital member of the management team, your field expertise directly influences company operations, strategic scheduling, and project execution models. Stability & Specialization: Step into a specialized market sector (concrete restoration and building envelopes) where high-quality field leadership is highly valued and continually in demand. Dynamic Work Environment: Work with a team-first, disciplined organization that prioritizes proactive quality control, strong field support, and clear stakeholder communication.

Location: Mumbai, India About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments Position AI strategically within the context of Digital India initiatives and financial sector modernization programs Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises Established relationships with senior executives across banks, NBFCs, insurers, or fintechs Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing Technical acumen to engage credibly with CTOs, architects, and data science teams Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications Experience selling directly into large Indian banks, insurers, or financial conglomerates Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations Track record of first-in-market roles or launching new products in India Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption Experience navigating public sector bank and PSU sales processes is a plus Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications Experience leading Customer Success across APAC Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages Experience standing up a CS function in a new APAC market from the ground up Background in API products, developer platforms or consumption-based business models Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery Track record of influencing global product roadmaps through structured customer feedback from APAC markets Passion for responsible AI development and deployment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 — £230,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. Anthropic is seeking an experienced GTM Recruiter to join our recruiting team. In this role, you'll partner closely with GTM leaders to hire the people who will shape how Anthropic operates, grows, and delivers on its mission. This role requires someone who can assess not just functional expertise, but also alignment with our values and the adaptability required to thrive in a fast-paced, high-growth environment. Responsibilities: Lead end to end recruiting for GTM roles Develop and execute strategic recruiting plans, including competitive mapping, targeted sourcing, and building long-term talent pipelines Build trusted partnerships with GTM leadership to understand business priorities, team structures, ideal candidate profiles, and required competencies across different functions Create exceptional candidate experiences that showcase Anthropic's mission, growth trajectory, and unique growth opportunity for GTM professionals Design and implement scalable recruiting processes that effectively assess functional expertise, business acumen, and cultural alignment Track recruiting metrics and use data to identify bottlenecks, optimize processes, and maintain a high-quality hiring bar Coach hiring managers on recruiting best practices, interview techniques, and strategies for building diverse, high-performing teams You may be a good fit if you: Have 5+ years of full-cycle recruiting experience with meaningful exposure to GTM functions Are comfortable working in ambiguous environments and help hiring teams build structure and excellent recruiting practices Have strong stakeholder management skills - you can share examples of frameworks you've built that drive hiring while coaching teams to improve their recruiting Are highly organized with strong attention to detail - you stay on top of data integrity and maintain regular touchpoints with candidates and hiring managers Are comfortable analyzing recruiting data and can connect key metrics to monitor recruiting health and maintain a great hiring experience Are passionate about AI's potential to positively impact the world while understanding its risks and limitations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris, France; Bordeaux, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ OPERATIONS AT ALAN The Operations Community’s core responsibilities is to deliver at scale our insurance and health services : we build our platform and operational capabilities and run our processes to guarantee delight and efficiency. As we anchor our Insurance position, diversify our offering with health and well-being related services in 4 different countries (France, Belgium, Spain and Canada), our operations are increasingly complex and our challenges ahead have never been as exciting! Being an Ops at Alan means joining a team of 50+ talented, committed and passionate Ops across our countries, with a lot of interactions with Engineering, Product, Care and many other teams at Alan. We have a mix of Builder profiles, focused on (re)designing and implementing our processes and Operations Experts who deliver those on a daily basis while improving them. We want team members to deliver excellence to our companies and members and be ready to disrupt (and not only upgrade) the way we traditionally think about insurance or healthcare services. Want to learn more about Ops at Alan? Read how we work and hire https://app.notion.com/p/alaninsurance/Product-Ops-builders-and-coordinators-Alan-your-hiring-process-3021426e8be7815cb164d629cfe3b455 and watch our team in action https://www.youtube.com/playlist?list=PL643LyZcrKMDaW7cW0_GytXy5VkaqTOU6   🌍 FOR THIS ROLE, YOU NEED TO BE BASED IN FRANCE, BELGIUM OR SPAIN 🌍 The Operations Expert works on a specific subset of services we deliver (eg. claim reimbursement, fraud, clinic to name a few) . Their core responsibilities (+- 70/80% of the time) are to: - Run our Insurance or Health services processes - that's why we call them Ops Runners internally 😉 - Ensure the day-to-day follow up and monitoring of our operations - Flag risks and opportunities In details, your missions are: - Operating our processes: performing tasks like invoicing or claims treatment, growing and managing our network of providers, supporting internal teams (live and through documentation) - Contributing to the definition & owning the best monitoring scheme to track volumes/efficiency/SLAs, and identify risks and areas of improvement, internally or with our service providers - Supervising partnerships (e.g. teleconsultation, claim operators), participating in the negotiation rounds, daily communication to ensure business continuity - Performing controls on our daily operations to make sure the correct decisions were made and to identify training needs (internally as well as externally) - Escalating feedback, helping to prioritise and supporting initiatives to make our processes and services more delightful and efficient Next to running and monitoring our operations, you implement continuous improvements to our processes (+-20/30% of the time). This can be in a variety of ways, e.g. working with product teams to automate certain processes, enhancing our external communication, auditing our processes, automating some process steps using automation tools, … ⭐️ OUR RUN ORGANISATION ⭐️ Our Operations Experts are organized in pools (3-7 runners) who are collectively responsible for running their scope. Examples of topics are: Alan therapy: members can book a therapy session with psychologists. You maintain smooth relationships with our psychologists, ensure therapy demand  matches the supply and contribute to several steps of their lifecycle at Alan (hiring, onboarding, invoicing, supporting booking management etc). Claims: We provide a best-in-class claims experience, including our own optic care service. You treat claims and assist in decisions regarding our coverage. Additionally, you monitor the performance of external service providers to meet SLAs & perform quality controls. You ensure glasses get delivered on time, member satisfaction is high, our frame collection is attractive, collaboration with opticians is smooth and efficient, …. Fraud: We run checks on claims submitted by our members, and build new ways of preventing fraud attempts. You investigate suspicious claims, prevent fraudulent payments or recover when we paid fraudulent claims. Set up:  We provide best-in-class experience to our Customers : a smooth on/offboarding of their employees and a seamless invoicing or billing. To do so, we continuously control & improve the quality of our processes : ensuring we have consistent information for invoicing, unlocking employee invite/removals in case of issue and supporting admin in case of payment issue or bankruptcy. Note: We look for profiles able to embrace any challenge and jump in any pool ! Depending on Alan needs (and personal interests), an Operations Expert will join in a pool and  can change and explore new scopes after some time. Do not hesitate to ask more concrete examples to the Operations Team Members you’ll meet during the process so they can share about their own scope. ⭐️ EXPERIENCE ⭐️ For this opportunity, we are aiming to hire within the A2-B1 level range https://alan.com/en/careers/a/salary-equity. Since the scope of our Ops Expert role is extremely varied, we are open to candidates from different backgrounds : you could be a good fit for the Operations team at Alan if, for example, you: - Operated processes and services especially for companies during the scale up stage or in industrial/logistic industries - Worked in Support functions (Customer Support, People Operations etc) - Had a Customer facing Commercial experience, e.g. account manager or Customer Success Communications, such as Social Media, Internal/ External Communications - Handled event coordination ⭐️ SKILLS ⭐️ - Passionate about delivering & optimizing top notch operations: not scared to get your hands dirty to get into technical processes, making them clear and delightful for our operators and members - A keen problem-solver and challenger with a dig deep mindset: what drives you is member and customer satisfaction ! - Analytics skills, to be able to dive into our data - Highly organised with exceptional follow-up skills, with strong attention to details - Strong and structured in written and verbal communication in English as well as in French or Dutch - Able to work and learn independently in a fast-paced environment - Adaptable: you show flexibility and a strong ability to adapt to variable situations - It’s even better if you have experience in the insurance or the healthcare industry 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy. Responsibilities Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues. Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment. Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy. You may be a good fit if you have 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools, or a background in machine learning or data science Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems 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: £150,000 — £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mexico; Argentina; Colombia; Honduras; El Salvador We are looking for an experienced Tekla Steel Detailer to support a U.S. steel fabrication company specializing in structural steel, custom stairs, railings, and architectural metalwork. This remote position is ideal for someone who understands how steel is fabricated and installed and can translate architectural and structural drawings into accurate Tekla models and complete shop drawing packages. Experience detailing stairs, railings, and miscellaneous steel is particularly important, along with the ability to work independently and communicate effectively with a U.S. team. Responsibilities Develop detailed 3D models in Tekla Structures for custom stairs, railings, landings, brackets, structural framing, and related steel components. Produce shop drawings, assembly drawings, single-part drawings, erection drawings, and material lists. Interpret architectural and structural drawings, project specifications, and field measurements. Detail connections, plates, anchors, bolts, and welds in accordance with approved engineering information and fabrication standards. Coordinate steel components with adjacent materials, including glass, wood, and concrete. Identify missing information or conflicting dimensions and prepare clear requests for information. Incorporate approval comments, field updates, and design revisions into models and drawings. Review deliverables for accuracy, completeness, and fabrication and installation requirements. Collaborate with project managers, engineers, and fabrication teams throughout the detailing process. Requirements At least 4 years of steel detailing experience , with strong proficiency in Tekla Structures . Demonstrated experience detailing steel stairs, railings, and miscellaneous metals . Previous experience supporting U.S. steel fabrication or construction projects . Ability to independently develop fabrication drawing packages from architectural and structural documents. Practical understanding of steel fabrication, connections, welding symbols, tolerances, and installation considerations. Familiarity with imperial measurements and U.S. steel detailing conventions. Strong written and spoken English. Ability to manage revisions, meet deadlines, and coordinate with a team during U.S. Eastern Time business hours. A portfolio showing relevant Tekla models and shop drawings. Preferred Qualifications Experience with custom architectural steelwork, exposed steel, and high-end residential projects. Experience detailing structural framing, including beams, columns, and bracing. Experience with stainless steel, aluminum, or other architectural metals. Familiarity with AutoCAD and producing CNC/NC or DXF files for fabrication. Experience working directly with steel fabricators and addressing shop or field questions. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Dubai, United Arab Emirates We are hiring an experienced and energetic Civil Site Engineer to join our team in Dubai. If you have a strong track record of managing on-site day-to-day operations, ensuring compliance with UAE structural and safety standards, and keeping projects on schedule, we want to hear from you. Role Overview As a Site Engineer, you will be responsible for supervising daily construction activities, coordinating sub-contractors, maintaining high quality standards, and ensuring strict adherence to approved drawings and local authority guidelines (Dubai Municipality, Trakhees, DDA). You will report directly to the Project Manager and serve as the main link between design plans and site execution. Key Responsibilities Site Supervision & Execution: Oversee daily construction activities to ensure progress meets master schedules, structural specifications, and safety standards. Setting Out & Surveying: Verify levels, alignments, and positioning using surveying instruments relative to approved site plans and affection plans. Quality Assurance & Inspection Requests (IR): Prepare and raise Requests for Inspection (RFIs/IRs) for consultant approvals across concrete pours, reinforcement checks, and structural works. Subcontractor & Workforce Management: Direct sub-contractors, foremen, and site labor forces to maximize productivity and prevent material wastage. Authority & HSE Compliance: Enforce Dubai Municipality and MOHRE Health, Safety, and Environment (HSE) guidelines, including strict adherence to summer midday-break regulations and site permit-to-work systems. Reporting & Documentation: Maintain accurate daily site logs, track material deliveries, flag design discrepancies, and prepare progress updates for project management. Requirements Education: Bachelor’s Degree in Civil Engineering or Structural Engineering (Equivalency from the UAE Ministry of Education is a plus). Experience: 3 to 6 years of site execution experience within commercial, residential, or high-rise construction projects in the UAE. Local Approvals & Knowledge: Strong familiarity with local authority procedures (Dubai Municipality, Trakhees, DDA, Dubai Civil Defence). Technical Proficiency: Ability to read and interpret complex CAD drawings, MEP coordination layouts, and structural details. Hands-on experience with surveying equipment (Total Station/Auto Level) is required. Certifications: Dubai Municipality (DM) card or Society of Engineers (SOE) membership is strongly preferred. Driving License: Valid UAE driving license is required. Languages: Fluent in English (spoken and written); knowledge of Hindi/Urdu or Arabic is a strong advantage for site workforce management. Benefits Compensation: A competitive salary depending on experience. Benefits: Employment visa, medical insurance. Career Growth