Вакансии

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: £260,000 — £370,000 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: Košice, Slovakia; Slovakia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Are you a team player with great communication skills and experience in a customer-facing or logistics role? If you answer yes, we’d love to chat! We are looking for part-time Support Associates (students) to join our Support team in Bratislava. Starting in October 2026! This applies to candidates living outside of Bratislavsky & Trnavsky kraj. What you'll be doing: Handling incoming live chats (and occasionally phone calls) from our customers, venues, and couriers Ensuring that the delivery operation runs smoothly You have great communication skills with a personal touch, and a customer-obsessed and team-oriented mindset You are a fast learner, you have no problem with multitasking, and you are ready to work in a fast-paced environment You already have some experience in a customer-facing role, and you are passionate about service This is a shift work position. You can work evenings and weekends too - We are available to our clients seven days a week from 7:00 am to 1:00/2:00 am. Supporting primarily Slovakia, with occasional shifts for Czechia or other markets when necessary You are fluent in Slovak language and you have professional working proficiency in English (minimum B2) What do we offer: Multisport card Employee cashback benefit in Wolt credits Benefit plus card Snacks and drinks at the office Possible home office after completing necessary onboarding in our office in Bratislava Opportunity to grow both personally and professionally within our team Employee assistance program Team building events For a part-time student Support Associate, the basic (fixed) wage component is 7.30€ brutto / hour after probation. If you are excited about being part of our young and ambitious team, click below to apply and get the conversation going! Please note that due to GDPR we do not accept applications sent via email. Please submit your application and CV via our careers page! The successful candidate's starting hourly pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Pay Range: €6,90 — €7,30 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote, APAC Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: - Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. - Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. - Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues). - Identify where internal tooling might be developed or obtained to improve support efficiency. - Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: - Experienced in customer support, with 3+ years of experience providing developer support to technical customers. - Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. - Excellent communication skills and fluency in English. - Skilled in using Linux/Unix operating systems and the command line. - Experienced working with GitHub Issues and Discussions. - Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. - Having a degree in Computer Science is a plus too. TIMEZONES & LOGISTICS - It’s a full-time position with a required location in APAC time zones (we don’t believe in sustainability of overnight shifts). WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Riyadh, Saudi Arabia About Müller's Solutions: Müller's Solutions is a leading provider of SAP consulting services, specializing in helping businesses transform and optimize their SAP systems. As a trusted partner, we provide innovative and tailored solutions to meet our clients' unique needs. Our team of experts is dedicated to delivering high-quality results and ensuring the success of every project. Job Overview: We are currently seeking a skilled SAP SCM Architect to join our team. As an SAP SCM Architect, you will be responsible for designing and implementing supply chain management solutions that enhance efficiency and drive business value. You will collaborate with clients to understand their requirements and establish strategic SCM solutions that align with their overall objectives. Requirements Requirements: Bachelor's degree in Logistics, Supply Chain Management, Computer Science, or a related field. Minimum of 8 years of experience working as an SAP SCM Architect or in a similar role. In-depth knowledge of SAP modules related to Supply Chain Management, including APO, S/4HANA, IBP, and others. Proven experience in designing and implementing end-to-end SCM processes and solutions. Strong understanding of inventory management, demand planning, and supply chain optimization. Relevant SAP certifications (e.g., SAP Certified Application Associate - Supply Chain Management) are preferred. Excellent analytical and problem-solving skills to assess business processes and recommend solutions. Strong communication skills to effectively liaise with clients, stakeholders, and project teams. Ability to manage multiple projects and stakeholders simultaneously while maintaining attention to detail. Experience working in Agile environments and familiarity with agile project methodologies is a plus. Up-to-date knowledge of market trends, technologies, and best practices related to supply chain management.

Location: Riyadh, Saudi Arabia About Müller's Solutions: Müller's Solutions is a premier SAP consulting firm dedicated to delivering excellence in supply chain management through tailored SAP solutions. Our expertise helps organizations optimize their supply chain processes, improve operational efficiency, and achieve strategic objectives. Job Overview: We are looking for a skilled SAP Supply Chain Management (SCM) Project Manager to join our innovative team. In this role, you will be responsible for overseeing and managing SCM projects from inception to completion, ensuring that they are delivered on time, within budget, and according to the specified requirements. You will collaborate with cross-functional teams to drive project success and enhance client satisfaction. Requirements Requirements: Bachelor's degree in Supply Chain Management, Business Administration, Information Technology, or a related field. Proven track record in managing end-to-end SAP SCM implementations and optimization projects. Strong knowledge of supply chain processes, including demand planning, inventory management, logistics, and production planning. Excellent leadership and team management skills, with the ability to motivate and guide project teams. Strong project management skills, including planning, execution, risk management, and stakeholder communication. Relevant SAP certifications (e.g., SAP Certified Application Associate in Supply Chain Management) are preferred. Exceptional analytical and problem-solving abilities. Excellent communication and interpersonal skills, with the ability to manage client relationships effectively. Proficiency in project management tools and methodologies. Ability to adapt to changing business needs and manage multiple priorities effectively. 6 months could be extended. Demonstrated excellence in project management and experience in presentation to senior leadership You will ideally have 10+ years of relevant professional experience within SAP Digital Transformation (ideally SAP SCM ) with skilled experience as Program delivery lead and SAP Implementation experience in minimum 6 projects. Proven experience successfully leading and managing a team delivering Digital transformation projects Consulting experience and SAP implementation experience is a must. Technical skills requirements Strong Program management skills Broad SAP application skills Experience in the following SAP Areas : Sourcing, Procurement, Inventory Management, Supplier Relationship Management Strong integration knowledge with other domains / functional areas Strong knowledge in SAP Activate /Agile/ Hybrid implementation methodologies, understands the end to end program lifecycle Capability of presenting the value proposition in the module / area Very good problem-solving abilities Excellent interpersonal skills, strong communication and presentation skills Additional Requirements Approximately 10 to 12 years of total experience and SAP Implementation experience in minimum 6 projects Experience in leading Supply Chain stream, leading SAP projects or have been in PMO Position Strong knowledge in Program management , Project management standards, Overseeing and controlling projects Strong knowledge in business processes and practices Good Understanding of processes related to business requirement collection and analysis,  build of product roadmap requirement and product delivery Good Public Sector  knowledge Candidate should be Arabic Speaker Demonstrated track record managing teams and complex engagements in the consulting arena Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's Application Security team secures the systems that build, serve, and increasingly are Claude. The attack surface is unlike most AppSec work: multi-agent orchestration, sandboxed code execution, agents holding delegated credentials, untrusted tool output crossing trust boundaries — problems with little prior art and no off-the-shelf playbook. The way the team works is also different. We use Claude as our primary tool across every part of the job: it drives our static analysis, drafts and fixes vulnerabilities as pull requests, performs first-line bug bounty triage, and assists threat modeling for design reviews. The human work is the judgment layer — system-level reasoning, deciding what matters, and building the next thing the model can't do yet. This is a builder's role on a senior team. We hire engineers who ship production systems and clear a hands-on threat-modeling bar — people who can find the vulnerability but would rather build the system that finds them all. Every engineer owns a system end-to-end, and the team's work has shaped customer-facing product security — including Claude Code's security review tooling, its security guidance plugin, sandboxing, and auto mode. Key responsibilities: Design, build, and operate Claude-powered security systems — LLM-driven code analysis, automated vulnerability remediation, AI-assisted threat modeling — and own one or more of them end-to-end, including the cross-functional relationships that come with it Lead secure design reviews and threat modeling for novel AI systems, identifying risks that don't map to existing frameworks Evolve a public bug bounty program where automation handles routine triage and root-cause work, and engineers handle escalations and corner cases Partner with Product, Infrastructure, and Research teams as an embedded security owner — consulting on launches, shaping architecture, and influencing decisions where security is the constraint Share an operational on-run rotation with the rest of the team — bounty escalations, incident response, and launch consults on systems serving Claude in production Minimum qualifications: Hands-on application and infrastructure security experience, including cloud and containerized environments Production-quality coding ability in at least one of Python, Go, Rust, or TypeScript, with a track record of building durable systems rather than one-off scripts Practical threat-modeling and vulnerability-identification skills — you've found and reasoned about real bugs in real systems, even if breaking isn't your primary mode Demonstrated ability to operate with high autonomy and ambiguity — comfortable being handed a problem and a lot of latitude rather than a spec Clear technical communication with both engineers and leadership Preferred qualifications: 7+ years in application security, security engineering, or security-focused software engineering Already use LLMs as a core part of how you work, with opinions about where they help and where they don't Experience securing agentic, code-execution, or LLM-integrated systems specifically Prior ownership of a bug bounty program, vulnerability disclosure program, or vulnerability-management infrastructure at scale Background building security automation or developer-facing security tooling Offensive security or penetration testing experience Representative projects An increasingly autonomous vulnerability pipeline — LLM-driven code analysis finds the issue, scores it for real exploitability, and opens the fix PR, with humans as the review step rather than the author Bug bounty operations where Claude handles first-line triage and drafting, and engineers focus on the reports that actually need judgment AI-assisted threat modeling that generates intake questions, drafts the model, and recommends which design reviews need a human in the room Automated dependency vulnerability remediation across Anthropic's codebase The company-wide vulnerability dashboard and SLA enforcement layer every engineering team works against Threat models and security architecture for agentic product surfaces — code execution sandboxing, agent identity and delegated auth, tool-use boundaries 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, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: - Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. - Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. - Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues). - Identify where internal tooling might be developed or obtained to improve support efficiency. - Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: - Experienced in customer support, with 3+ years of experience providing developer support to technical customers. - Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. - Excellent communication skills and fluency in English. - Skilled in using Linux/Unix operating systems and the command line. - Experienced working with GitHub Issues and Discussions. - Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. - Having a degree in Computer Science is a plus too. TIMEZONES & LOGISTICS - It’s a full-time position with a required location in North American time zones (we don’t believe in sustainability of overnight shifts). WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: New York City, NY; San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a AI Native Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with some of the fastest growing startups in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: 4+ years of experience prospecting and closing startup leads, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $222,800 — $290,000 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 | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Growth Account Executive at Anthropic, you'll drive expansion and retention of our fastest-growing startup customers by helping them harness the transformative potential of safe, frontier AI. You'll leverage your consultative sales expertise to grow revenue while becoming a trusted strategic advisor, helping customers expand their AI capabilities and unlock new use cases. Working closely with GTM, product, and marketing teams, you'll identify expansion opportunities while ensuring our customers get maximum value from Anthropic's solutions. The ideal candidate will combine strong sales acumen with relationship management skills, focusing on growing accounts through strategic upsells while maintaining high retention rates. By driving expanded deployment of Anthropic's emerging products, you will help enterprises scale their AI capabilities while advancing its ethical development. Responsibilities: Drive revenue growth through strategic account expansion and renewals Own the full sales cycle for upsell opportunities while maintaining strong retention rates Build and maintain trusted relationships with key stakeholders across your portfolio of high-growth startups Lead strategic account planning including Quarterly Business Reviews, health checks, and renewal negotiations Partner with customers to identify new use cases and opportunities to expand their AI capabilities with Anthropic Serve as the voice of the customer by gathering feedback and conveying market needs to inform our product roadmap Develop and execute account strategies that align Anthropic's solutions with customer business objectives Proactively identify and mitigate retention risks while maintaining high customer satisfaction You may be a good fit if you have: 5+ years of experience in sales or account management roles, with a proven track record of growing accounts and exceeding retention targets Success as a strategic business advisor, deeply understanding startup needs and creating innovative solutions that align with their vision Experience managing complex sales cycles, working with technical stakeholders, and negotiating strategic deals Strong presentation and communication skills with ability to build relationships across all customer levels, from ICs to C-level executives Analytical approach to understanding customer needs combined with creative solutions to drive expansion A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly Experience running strategic business reviews and managing executive relationships Track record of consistently meeting or exceeding quota in fast-paced environments Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $222,800 — $290,000 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: Bogotá, Colombia; Buenos Aires, Argentina; Mexico City, Mexico; San José, Costa Rica; Caracas, Venezuela, Bolivarian Republic of Uptalent.io is looking for a Remote Project Manager with specialized experience in FF&E (Furniture, Fixtures, and Equipment) and commercial projects to join our dynamic team. In this role, you will be responsible for overseeing the successful execution of projects from inception to completion, ensuring that all project objectives are met on time and within budget. Your expertise in furniture manufacturing and commercial project management will be essential as you collaborate with stakeholders, manage timelines, and coordinate resources effectively. Key Responsibilities: Plan, execute, and finalize projects according to client specifications and high-quality standards. Develop detailed project plans, ensuring clear milestones and deliverables. Collaborate with design teams, manufacturers, and contractors to ensure seamless integration of FF&E into projects. Monitor project progress, adjusting plans as necessary to address challenges and keep on schedule. Maintain effective communication with clients, providing regular updates on project status. Manage budgets, resource allocations, and timelines, ensuring profitability and efficiency. Conduct post-project evaluations to identify areas for improvement and share lessons learned. Requirements Requirements: Bachelor's degree in Project Management, Interior Design, or a related field. 5+ years of project management experience, specifically in FF&E and commercial environments. Strong understanding of furniture manufacturing processes and logistics. Proficiency in project management software and tools. Excellent communication, negotiation, and interpersonal skills. Ability to manage multiple projects and adapt to changing priorities. Fluency in English, both written and verbal. While proficiency in Italian is appreciated, it is not a requirement. Experience working with cross-functional teams and stakeholders. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: ROYAL CARIBBEAN GROUP, Worldwide ISMIRA Agency actively recruiting for position DOCUMENTATION OFFICER for CELEBRITY CRUISES! The Documentation Officer is the key administrator and communicative link regarding ship logistics, Immigration and Customs entities in each port of call. As part of the Guest Relations team, the Documentation Officer is the liaison between the Guest Relations Team, Port agents, Immigration and Customs officials and all hotel and marine departments supporting proactive anticipation for a smooth entry and clearance into ports of call. BENEFITS: Work in Royal Caribbean Cruises Ltd. named one of the Top-Rated Workplaces Earn recognition and career advancement opportunities Travel around the World Experience working with more than 72 nationalities Permanent job with contract 6-8 months onboard followed by 60 days of vacation Save Money as you do not pay for food and accommodation on board Competitive salary (find out when apply) Visa fee will be reimbursed on board Medical insurance provided during contract RESPONSIBILITIES: Maintains a constant presence of professionalism and emergency preparedness within the Guest Relations Department both back and front of house, being the brand voice and physical representative of the ship and guest relations for all interactions and calls providing impeccable quality of service to internal and external guests and crew alike Championing strong administrative skills, taking periodic metrics of data such as guest manifesting, denied boarding counts, pre-and-in-voyage guest movement, guest counts, potential medical and emergency related movements, concern content and guest and crew interaction behavioral analysis Readily communicates inventory, program access and maintenance requirements by taking full stewardship of work areas and tools Due diligence, care and attention to detail in all interactions and operations with an elevated focus on precision when dealing with ship and guest documentation Responds to escalated internal and external guest concerns in an up-scale, considerate, professional and positive manner, showing empathy and actively listening REQUIREMENTS: Minimum of two (2) years guest facing service experience in a port agent, immigration and customs or similar shipboard role. Combination of education equivalent to high school diploma or any other source of education, training or experience that provides the required knowledge, skills and abilities. Confident, well-groomed appearance with a warm and welcoming demeanor. Strong emotional intelligence required with resourceful thinking and a working knowledge of conflict resolution. Ability to fulfill the above mentioned Key Responsibilities and all reasonable company requests. While performing the duties of this job, the shipboard employee is regularly required to stand for prolonged periods using computer systems; walk; use hands to touch, handle, or feel; reach with hands and arms; talk or hear; and taste or smell. The employee must continually lift and/or move up to 50 pounds. Fluent ENGLISH skills - both spoken and written Minimum 21 years old NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇺🇦 🇪🇺 For 🇲🇩 🇬🇪 🇧🇾 🇷🇺 additional security / background check may be required Last updated: March 15, 2024 If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

Location: Riyadh, Saudi Arabia About Müller's Solutions: Müller's Solutions is a top-tier SAP consulting firm specializing in enhancing supply chain processes through innovative SAP solutions. We focus on delivering comprehensive and tailored strategies that drive efficiency, optimize operations, and help our clients achieve their business objectives. Job Overview: We are seeking a skilled SAP Supply Chain Track Lead to join our dynamic team. In this role, you will lead supply chain-focused SAP projects, managing the design, implementation, and integration of SAP solutions to enhance the efficiency of our clients' supply chain operations. You will collaborate with stakeholders throughout the project lifecycle to ensure successful outcomes and alignment with business goals. Requirements Requirements: Bachelor's degree in Supply Chain Management, Logistics, Information Technology, or a related field. Create and execute the detailed SCM track plan Ensure project milestones are met, and deliverables are completed on time Reviews key deliverables Communicate track status updates based Develop and maintain documentation, including plans, risk logs, and status reports Challenge the implementation team in solution design and tasks durations Manage integration areas with other streams Minimum of 10 years of experience in SAP Supply Chain Management (SCM) modules, with at least 5 years in a leadership or project management role. Proven experience in implementing and optimizing supply chain solutions within SAP. Strong understanding of supply chain processes, including manufacturing, logistics, inventory management, and procurement. Ability to lead cross-functional teams and drive successful project delivery. Excellent communication, analytical, and problem-solving skills. Strong project management skills with experience in planning and risk management. Relevant SAP certifications (e.g., SAP Certified Application Associate in Supply Chain Management) are preferred. Up-to-date knowledge of SAP technologies and industry trends. Experience in change management and user training initiatives is a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Houston, United States This individual will be responsible for managing the relationships of a current group of strategic End User Customers, Industrial Distributors and Original Equipment Manufacturer accounts. In addition of that, develop other customer accounts inside assigned territory. Utilize a consultative selling approach to help our end users and Purchasing enhance their performance by providing unrivaled value and innovation. Build Strategies and execute action plans in support of our business and marketing initiatives to meet sales and profit goals. Main Responsibilities: Sales and Business Development Customer Engagement and Relationship Building. Technical Consultation and Solution Development Customer Support and After-Sales Service. Customer Engagement and Relationship Building: Identify and target potential customers in the bearing and power transmission industry. Conduct market research and analysis to understand customer needs, industry trends, and competitive landscape. Build and maintain strong relationships with existing and prospective customers, understanding their requirements and providing them with personalized solutions. Frequent visits to customer sites (planning, maintenance, engineering, operations) to assess their needs, provide technical advice, and promote company products and services. Conduct product demonstrations and presentations to showcase the features, benefits, and applications of the company's bearing and engineering solutions. Participate in events to promote Products and Services. Technical Consultation and Solution Development: Provide technical expertise and support to customers, addressing their inquiries, concerns, and technical challenges. Discuss with customers how we can collaborate to enhance performance expectations upon application and engineering requirements. Gather customer specifications, drawings, and engineering data which must be addressed to Engineering for analysis and as a result customized solutions. Work closely with the company's engineering team to join the process of customized products developing to meet client needs. Submit technical proposals, quotations, and bids for customers (end users, purchasing), ensuring accuracy and alignment with their requirements and procedures. Sales Indicators and Business Development: Develop and execute sales strategies and plans to achieve sales targets and revenue goals. Identify and pursue new business opportunities, including new segment markets, facilities and customer management areas along production line. Conduct regular sales forecasting, pipeline management, and reporting to track progress and identify areas for improvement. Collaborate with the sales team and other departments (Quality Control, Engineering, Finance, Logistics, Management) to optimize sales processes, enhance customer experience, and drive business growth. Encourage Participation in industry events, trade shows, and conferences to network, promote company products, and generate leads. Search and Develop new accounts Market Intelligence and Competitor Analysis: Monitor market trends, competitor activities, and industry developments in the bearing and power transmission  markets. Gather and analyze market intelligence to identify emerging customer needs, technological advancements, and competitive threats. Provide feedback and insights to internal teams, such as product development, marketing, and management, to drive continuous improvement and innovation. Customer Support and After-Sales Service: Collaborate with the customer service team to ensure smooth order processing, delivery, and post-sales support. Address customer inquiries, complaints, and technical issues in a timely and effective manner. Follow up with customers to ensure customer satisfaction, identify opportunities for upselling or cross-selling, and foster long-term relationships. Requirements Industrial sales: 3 to 5 years Technical experience on Bearings and Power Transmission: 3 to 5 Industrial design and manufacturing: 2 to 4 Industrial Maintenance , Engineering, Operations: 3 to 5 Benefits Work for a leading global company with presence in USA and across Latam. Highly competitive compensation.

Location: Dallas, United States This individual will be responsible for managing the relationships of a current group of strategic End User Customers, Industrial Distributors and Original Equipment Manufacturer accounts. In addition of that, develop other customer accounts inside assigned territory. Utilize a consultative selling approach to help our end users and Purchasing enhance their performance by providing unrivaled value and innovation. Build Strategies and execute action plans in support of our business and marketing initiatives to meet sales and profit goals. Main Responsibilities: Sales and Business Development Customer Engagement and Relationship Building. Technical Consultation and Solution Development Customer Support and After-Sales Service. Customer Engagement and Relationship Building: Identify and target potential customers in the bearing and power transmission industry. Conduct market research and analysis to understand customer needs, industry trends, and competitive landscape. Build and maintain strong relationships with existing and prospective customers, understanding their requirements and providing them with personalized solutions. Frequent visits to customer sites (planning, maintenance, engineering, operations) to assess their needs, provide technical advice, and promote company products and services. Conduct product demonstrations and presentations to showcase the features, benefits, and applications of the company's bearing and engineering solutions. Participate in events to promote Products and Services. Technical Consultation and Solution Development: Provide technical expertise and support to customers, addressing their inquiries, concerns, and technical challenges. Discuss with customers how we can collaborate to enhance performance expectations upon application and engineering requirements. Gather customer specifications, drawings, and engineering data which must be addressed to Engineering for analysis and as a result customized solutions. Work closely with the company's engineering team to join the process of customized products developing to meet client needs. Submit technical proposals, quotations, and bids for customers (end users, purchasing), ensuring accuracy and alignment with their requirements and procedures. Sales Indicators and Business Development: Develop and execute sales strategies and plans to achieve sales targets and revenue goals. Identify and pursue new business opportunities, including new segment markets, facilities and customer management areas along production line. Conduct regular sales forecasting, pipeline management, and reporting to track progress and identify areas for improvement. Collaborate with the sales team and other departments (Quality Control, Engineering, Finance, Logistics, Management) to optimize sales processes, enhance customer experience, and drive business growth. Encourage Participation in industry events, trade shows, and conferences to network, promote company products, and generate leads. Search and Develop new accounts Market Intelligence and Competitor Analysis: Monitor market trends, competitor activities, and industry developments in the bearing and power transmission  markets. Gather and analyze market intelligence to identify emerging customer needs, technological advancements, and competitive threats. Provide feedback and insights to internal teams, such as product development, marketing, and management, to drive continuous improvement and innovation. Customer Support and After-Sales Service: Collaborate with the customer service team to ensure smooth order processing, delivery, and post-sales support. Address customer inquiries, complaints, and technical issues in a timely and effective manner. Follow up with customers to ensure customer satisfaction, identify opportunities for upselling or cross-selling, and foster long-term relationships. Requirements Industrial sales: 3 to 5 years Technical experience on Bearings and Power Transmission: 3 to 5 Industrial design and manufacturing: 2 to 4 Industrial Maintenance , Engineering, Operations: 3 to 5 Benefits Work for a leading global company with presence in USA and across Latam. Highly competitive compensation.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: We are looking for Research Engineers to help us redesign how Claude interacts with external data sources. Many of the paradigms for how data and knowledge bases are organized assume human consumers and constraints. This is no longer true in a world of LLMs! Your job will be to design new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data Designing and evaluating advanced agentic search capabilities. You may be a good fit if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using Have good machine learning research experience Have experience developing software that utilizes Large Language Models such as Claude Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to partner with world-class ML researchers to develop new LLM capabilities Care about the societal impacts of your work Have clear written and verbal communication Strong candidates will also have experience with: Collaborating with product teams to quickly prototype and deliver innovative solutions Building complex agentic systems that utilize LLMs Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.