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Location: Brazil Job Description Job Title: Senior Executive / Specialist - Case Processing E mployment Type: Contract Location: Brazil (Remote) A bout ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analysis. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Primary Responsibilities: Experience in Intake/Triage, Data Entry, Quality Review, Case Finalization/Distribution of cases received from sources such as Spontaneous, Literature, Regulatory Authority, Solicited and Clinical trials. Experience in raising follow-up queries, as necessary, with appropriate documentation in the safety database. Experience in ARGUS database. Experience in rare disease portfolio. Must possess thorough knowledge of ICH-GCP, relevant GVP module, 21 CFR guidelines and other regulatory requirements. Training and mentoring skill (ICSR, Safety database etc.). Candidate Profile: Bachelor’s or Master’s in Pharmacy / Life Sciences or above and in alignment with project / business team requirements. Minimum of 3 to 5 years of relevant experience in identified functional domain/ business workstream. Must have hands on experience with MS office applications (Outlook, Excel, Word, Power Point etc.). Must be able to Write and speak Japanese. Dynamic working hours.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: Have 5+ years of experience in full life cycle recruiting supporting technical research teams Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities Possess strong technical aptitude with the ability to understand and evaluate technical qualifications Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: Bring a deep interest in AI safety research Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have experience with academic recruitment and research communities 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: $175,000 — $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Argentina Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. This is a Future Opening. Webflow does not currently have an immediate opening or confirmed start date for this role. We are using this posting to connect with prospective candidates for anticipated hiring needs. If a matching role opens, our Talent team may contact qualified candidates about next steps ABOUT THE ROLE: - Location: Remote-first (Argentina) - Permanent, full-time employee (this is not a contractor position) - Application Information: - This posting is for a future position As a Senior Software Engineer, Fullstack, you’ll …  - Design, and implement scalable multi-tenant backend services and APIs. - Work with technologies such as Node.js, Javascript/Typescript, MongoDB, GraphQL, Apollo, Amazon Web Services EC2, S3, Lambdas, Kafka, and more. - Demonstrable experience and expertise in multiple technical domains. - Contribute to building and executing on functional strategy. - Lead projects that directly contribute to team and engineering organization's deliverables. - Produce maintainable, tested, performant, and scalable code. - Author, collaborate on, and evaluate design documents. - Influence technical designs and team-level prioritization as well as participate in technical solutions. - Collaborate with product managers and designers in an autonomous, supportive team environment. - Mentor junior engineers in technical skills and Webflow culture. - Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening and improving our hiring processes, and leading internal hackathon teams. In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role. ABOUT YOU: Requirements: - Business-level fluency to read, write and speak in English You’ll thrive as a Senior Software Engineer, Fullstack if you: - Have 5+ years developing and deploying web applications, with a proven track record of shipping code. - Are familiar with Node.js and TypeScript and can write scalable services and APIs using Express.js, GraphQL, Apollo, and MongoDB. - Can debug production issues across services and multiple levels of the stack. - Have proven experience building complex web systems. - Have used testing frameworks (e.g. Jest, Mocha, Playwright, Cypress).  - Are comfortable working in an agile, safe-to-fail, environment. - Stay curious and open to growth-Demonstrate a proactive embrace of AI, actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Metn, Lebanon Staff Backend Engineer - L6 The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. At Toters, technology drives everything we do. Our product teams build features that simplify customers' lives, while our engineers create scalable solutions and optimize internal processes to deliver faster and more cost-effectively. If you thrive in a high-growth startup environment and want to help reshape how people shop across the Middle East, join us. Description As a Staff Backend Engineer, you will be responsible for shaping and delivering large-scale, cross-team systems and initiatives that significantly impact product reliability, performance, developer productivity, and business outcomes. You will mentor and grow multiple engineers, drive technical strategy within and across teams, resolve organization-level ambiguity, and proactively raise the bar for engineering excellence. You combine deep hands-on expertise with strong strategic thinking, owning complex domains end-to-end while influencing roadmaps, architecture standards, and team processes at a broader scale. Key Responsibilities Lead the design, architecture, and delivery of large, cross-system features, platforms, or infrastructure components that span multiple teams and quarters-long timelines. Drive technical and architectural decisions for entire domains or product areas, defining long-term strategy, surfacing major trade-offs, and aligning stakeholders across engineering, product, and operations. Own end-to-end system health: Establish observability, reliability practices, performance baselines, and incident response patterns that prevent recurring issues across services. Mentor and coach engineers, provide career guidance, technical pairing, code/design reviews. Identify and eliminate systemic bottlenecks in development velocity, testing, deployment, or onboarding; build shared tools, frameworks, patterns, or automation adopted team-wide or org-wide. Champion and evolve engineering standards, best practices, and conventions; influence adoption across multiple teams through clear reasoning, documentation, and leading by example. Increase engineering leverage by enabling other teams to move faster and more safely through better architecture, shared abstractions, technical guidance, and reusable patterns." Collaborate deeply with product, design, legal, and operations to challenge requirements, refine scopes, assess technical feasibility/risk, and ensure compliance (e.g., privacy, KYC). Lead architecture and design discussions at the team-of-teams level; write detailed specs, RFCs, and decision records that enable async alignment and reduce future rework. Act as a technical escalation point during major incidents, guiding resolution across domains and preventing recurrence through post-mortems and systemic fixes. Key Qualifications Bachelor's degree in Computer Science or equivalent practical experience. 8+ years of hands-on software engineering experience, in backend systems at scale (preferably including PHP/Laravel in high-traffic environments). Expert-level proficiency in backend development, OOP/SOLID/design patterns, microservices, event-driven architecture, and distributed systems principles. Proven track record designing and owning large-scale, performant, reliable backend systems (data modeling, complex schemas, PostgreSQL/MySQL optimization, Redis caching/queuing at scale). Deep experience with cloud infrastructure (AWS preferred), containerization, serverless, CI/CD pipelines, observability (monitoring, alerting, tracing), and incident management. Strong leadership & influence skills: mentoring multiple engineers, driving cross-team initiatives, resolving ambiguity at org level, and building consensus through clear communication. Excellent written & verbal English; ability to write precise technical documents, RFCs, and give constructive feedback across seniority levels. Demonstrated impact on business/product metrics through technical leadership (e.g., reduced latency, improved uptime, accelerated delivery velocity). Nice to Have Experience leading migrations, platform builds, or reliability programs in high-traffic e-commerce/delivery marketplaces. Familiarity with advanced scaling techniques (sharding, eventual consistency, CQRS, etc.). Prior work ensuring regulatory compliance (KYC, privacy, data protection) in collaboration with non-technical teams. Benefits Competitive compensation. Discounts on Toters orders. First-class medical insurance.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. 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: £260,000 — £630,000 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: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. 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: $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.

Location: Greenwich DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trade at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team: DRW C/FICCO Tools Engineering team intimately collaborates with traders to turn alpha signals, risk management, market visualizations and other trading-critical tools into scalable, performant and reliable production systems. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. We work closely with Data Engineering, Research Engineering, and Execution Engineering. About the Role: Software Engineers at Tools Engineering operate in two very distinct but organically interconnected modes. During a Forward Deployment, you will be directly embedded onto a trading desk, where you will be tasked to navigate business context, ambiguity in requirements, trade-offs, and urgency to deliver. You will promote a mutually beneficial relationship with the trading desks by building them specialized solutions to solve their greatest problems, while at the same time building up domain specific knowledge. After returning from a Forward Deployment, you will leverage the knowledge you gained from the process, extract reusable patterns, and make the tools available for all trading desks. In this role you will: Work with best-in-class trading tools for a collection of Cumberland and FICC options trading desks Take full ownership of the products you create, from prototype to stable production Embed with trading desks, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Build, maintain and extend the central trading platform Work with both greenfield and legacy systems across multiple languages (Python, Java, C++, Typescript) Provide on-call support as needed Qualifications: A minimum of 2+ years’ experience using Python, Java, C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience in the financial markets, especially in delta one store of value and/or FICC options trading Experience with linux-based, concurrent, high-throughput, low-latency software systems Experience with functional programming is a plus Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175k to $225k, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

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 Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen 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, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies Experience automating workflows or building automations to handle the repeatable components of a sales process Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process 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 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 Location: This role does require being in office 4x a week in one of our hubs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $360,000 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: Morocco Pre-Sales Consultant will be responsible for advising our Business Development & Sales teams on large, complex deals addressing technical and product questions and helping the customer understand how to implement ProgressSoft’s systems most effectively. He will be responsible for being a product specialist with deep understanding of all product integrations and enterprise features. Responsibilities Work closely with sales/business development team to explore sales opportunities for company’s product suite. Liaise and discuss with customers/prospects to qualify the opportunity /lead and create a solution construct. Assist BD/ Sales team in the qualification of customer needs & performing pre demo needs analysis. Drive techno functional discussion in client interaction/pre-sales and appropriately capture customer requirement with maximum clarity. SPOC for complete pre-sales cycle from requirement scoping, product fitment, solutioning, and technical proposal creation by working closely with members of the sales, delivery, product & support team. Draft solution scope document which meets customer expectation and translate these accurately to the delivery team / product team for estimation and successful delivery mechanism. Generate product demo scripts & scenarios and orchestration of product demo/workshop. Manage, coordinate and execute complete bidding process of RFI and RFPs. Develop statement of work and other contractual documents as required. Complete any other tasks that may reasonably be required from time to time. Requirements Fluency in French and English is a must. Self-Initiation and know-how-to-know skills. High level of performance. Outstanding leadership qualities and team building skills. Excellent communication capabilities. Creative problem-solving skills. Detail oriented and highly organized. Excellent follow-up skills. Bold travel schedule (up to 30%). Strong written and verbal communication skills to represent the company in a favorable manner. Highly motivated and able to influence and motivate others. Ability to work under pressure. Prepare SWOT analysis on solution offering and should be able to position company’s products against the competition in various geographies. Good knowledge of global real-time, rails, retail payments and payments landscape. Fair understanding of Real-time Payments globally including I PSD2, Open Banking, Payment Hub, SWIFT, SEPA. Good knowledge of the African Payment landscape is a plus, particularly Francophone Africa. Hands on experience to preparing power point presentations, document and analysis report. Ability to initiate conversations and make a lasting impact. Should be regularly updated with the market knowledge on the payment domain and progress at various relevant geographies.

Location: Yerevan, Armenia Description We are seeking a Data Product Owner to lead the vision, strategy, and execution of our data and AI/ML products. This role bridges business stakeholders, data engineering, and data science, ensuring that our data assets, analytics platforms, and machine learning models deliver measurable value. The ideal candidate combines product management expertise with strong knowledge of data, analytics, and applied AI/ML. Responsibilities Define and own the roadmap for data and AI/ML products (data platforms, APIs, dashboards, predictive models, recommendation engines, NLP/vision solutions, etc.) Translate business goals into AI/ML-enabled product strategies that drive automation, insights, and competitive advantage Partner with business stakeholders to identify opportunities where AI/ML and advanced analytics can create value Act as the key interface between data scientists, engineers, and business units, aligning priorities across teams Maintain and refine product backlog; write detailed user stories with business and technical acceptance criteria Work closely with data scientists to design, build, and deploy ML models into production Ensure data quality, explainability, scalability, and performance are built into all products Oversee the lifecycle of ML models (development, deployment, monitoring, retraining) Ensure data and AI/ML products comply with internal policies and regulatory requirements (GDPR, responsible AI, gaming/financial regulations) Have minimal knowledge in MLOps, metadata management, and data governance Requirements Proven experience as a Product Owner / Product Manager in data, AI/ML, or analytics-focused products Strong understanding of data science workflows, machine learning lifecycle Domain knowledge in iGaming, fintech, or other data-intensive industries Understanding of responsible AI, model explainability, and bias mitigation Ability to identify and prioritize high-value AI/ML use cases Familiarity with data engineering and BI platforms Hands-on exposure to AI/ML concepts (predictive modeling, NLP, computer vision, recommendation systems) Excellent communication and stakeholder management skills, with the ability to align technical and business teams Experience with Agile/Scrum and product backlog management

Location: Worldwide We are looking for a Risk Data Analyst . The Integrated Risk Management team is managing risk profile of the company. Identifying financial risks and management advisory on their mitigation. Providing service of developing forecasting and risk models for the Company's financial portfolio and implementation in the Company's processes. Challenges that await you : Take ownership of credit risk management as a key domain, oversee the management of credit, liquidity, FX, and strategic (business plan) risks, acting as the 2nd line of defense in the organization’s risk management structure Accurately calculate the unit economics of credit products, with a deep understanding of credit risk drivers, to deliver essential insights for strategic decision-making Develop, implement, and automate a comprehensive risk management framework, integrating it effectively into organizational documents and processes Analyze the methodology of Mexican (CNBV, Banxico) and global (Basel, IFRS) frameworks to apply best practices to PLATA’s processes Evaluate internal and external data to identify potential threats to the PLATA loan portfolio, construct econometric models to predict portfolio dynamics, and detect unusual behavior Create effective data visualizations and presentations to communicate findings and drive necessary actions among managers What makes you a great fit : A minimum of 3 years’ experience in risk and data analysis, preferably within credit organizations or consulting; experience in integrated risk management is a plus Bachelor’s degree in STEM, finance, or economics; a Master’s degree is highly advantageous Exceptional analytical and quantitative abilities, with expertise in statistical analysis, data modeling, and extracting insights from complex data sets Proficiency in SQL and Python (/R) is essential, complemented by knowledge of Tableau (/Apache Superset) and Excel A self-starter with the capability to work both independently and as part of a collaborative team in a fast-paced, evolving environment Outstanding presentation and communication skills, adept at conveying intricate data concepts to non-technical audiences B1 or higher English level for effective communication with an international team Our ways of working : Innovative Spirit : a commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits : Relocation support to one of our hubs — Mexico, Cyprus, Spain — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Product Designer at Harvey, you’ll manage multiple projects from ideation to launch. You’ll create high-quality designs, interactions, and prototypes that transform complex problems into intuitive solutions. Working closely with engineers, AI researchers, product managers, and lawyers, you’ll incorporate AI in meaningful ways—crafting interfaces that help users understand, trust, and effectively guide AI outputs. We’re looking for someone with strong interaction design instincts, visual design sensibility, and collaboration—someone who sweats the details, welcomes feedback, and elevates ideas through tight cross-functional teamwork. WHAT YOU'LL DO - Lead the design of end-to-end product experiences, from initial concept through polished execution. - Collaborate closely with product managers, engineers, and AI researchers to translate business objectives into user-centered designs. - Shape and refine our design system to ensure a cohesive and scalable visual language across the product. - Conduct user research to uncover pain points and opportunities, leveraging insights to inform design decisions. - Develop prototypes to explore and validate new features, workflows, and interactions. - Champion a high design bar, helping the team make thoughtful, intentional decisions at every step. - Promote and develop best practices in designing with AI. WHAT YOU HAVE - 8+ years of experience designing products in a fast-paced environment, with a portfolio that demonstrates your best work. - Ability to tackle complex challenges and transform them into simple, intuitive experiences. - Ability to change altitude from design details to big picture thinking, while maintaining a high pace of execution and quality bar. - Deep understanding of design systems and a strong sense of visual and interaction design craft. - Experience conducting user research and applying insights to design decisions. - Excellent communication and storytelling skills to articulate design concepts and rationale. COMPENSATION RANGE $200,000-$260,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-SB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. As a Senior Customer Success Manager at Wrike, you will own, protect, and exponentially grow the strategic relationship for a high-value portfolio of Enterprise accounts across EMEA. Wrike has evolved beyond standard project management into a trusted work delivery platform for people and AI, and in this role, you will be the chief architect of that vision for our most strategic clients. In this role, you are a strategic business consultant and a trusted advisor. You will guide client executives through complex business transformations, leveraging cutting-edge Wrike AI Agents, Wrike Copilot, and visual collaboration tools to map, optimize, and scale business workflows. You will partner deeply with Sales, Renewals, and Product counterparts to deliver on the transformational vision and establish Wrike as the clients' long-term operating system of record. Your Impact: Strategic Portfolio Ownership: Proactively manage a highly diverse and complex book of EMEA (mainly UK) Enterprise accounts, serving as their strategic partner, executive liaison, and primary advocate. Build Stakeholder Relationships: Establish a multi-layered relationship structure - including Centers of Excellence - connecting with administrators, day-to-day champions, and executive-level sponsors (VPs, C-suite). Co-Create Success Plans & Workflows: Build scalable and highly digestible Success Plans that capture the client's transformational vision and a measurable roadmap to build it out. Play Offense: Actively hunt for expansion paths within your portfolio. You will not wait for renewals to talk about growth; instead, you will proactively identify new teams to land, pitch advanced AI use cases, and systematically build a high-velocity expansion pipeline in lockstep with Sales. Commercial Growth & Retention: Meet individual Gross Revenue Retention (GRR) and Net Revenue Retention (NRR) targets by proactively identifying expansion opportunities, mapping customer growth plans, and mitigating churn risks early. Operational Excellence: You will continuously iterate on processes, develop new workflow playbooks, and share documented learnings across the broader organization. Your Qualifications: Proven GTM Track Record: 5+ years of experience in Customer Success, Account Management, or Business Consulting roles within the SaaS space, with a verified track record of managing $1M+ ARR accounts. Change Management & COE Mastery: Proven expertise in guiding large-scale organizations through complex software rollouts and operational transformations by mapping and navigating stakeholder management and building internal Centers of Excellence (COEs). Executive Presence & Storytelling: Highly polished communication skills with a proven capability to establish radical trust, navigate political dynamics, and present quantified business value/ROI to C-suite and VP-level technology leaders. Commercial Acumen & C-Suite Framing: A proven history of partnering with Sales to build joint account plans, identify upsell opportunities, and guide customers through complex buying cycles. You possess a deep understanding of enterprise procurement processes and are highly skilled at framing the business and operational value of a product to C-level audiences, translating technical features into hard cost savings, risk mitigation, and operational efficiency. Workflow Consulting Expertise: Ability to run structured, outcome-led Workflow Discoveries and reverse demos to map customer business processes directly into Wrike and identify adjacent opportunities. Technical & Integration Literacy: Strong comfort with tech ecosystems; ability to discuss complex system integrations, data analytics, and address technical hurdles (such as API webhooks or integration recipes) in lockstep with supporting teams. AI-Enabled Capability: Strong literacy and hands-on experience embedding practical Generative AI tools into daily operations. Standout Qualities: Vertical Specialization: You have deep domain expertise in one or more core industry verticals (e.g., Marketing, Creative Agencies, PMOs) and can build reusable workflow playbooks for the team. Certified Change Management Coach: You have experience guiding organizations through large-scale software rollouts and operational change management. Certified Project Manager: You hold a recognized industry certification (e.g. PMP, PRINCE2, or Agile/Scrum) and possess a formal understanding of project management methodologies to easily translate complex client workflows into structured, high-performing configurations. Peer Mentor: You naturally seek opportunities to mentor junior team members, share best practices, and contribute to the collective enablement of the Customer Success organization. Team Dynamics: You will join a high-performing, collaborative EMEA Customer Success team that values transparency, continuous learning, and collective growth. We work cross-functionally, sharing insights across Sales, Product, Renewals, and Support to ensure our customers have a unified experience. As a senior member of this team, you will play a key role in running internal enablement sessions and shaping best practices. Our Work Style: At Wrike, we believe in proactive ownership, data-driven decisions, and a growth mindset. We leverage Wrike every day to manage our own work, collaborate seamlessly across time zones, and maintain operational transparency. We embrace change, continuously seek feedback, and empower our team members to work smart, innovate, and bring their authentic selves to work every day. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus Your recruitment buddy will be Aziza Talhi , Senior Recruiter. #LI-AT1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Riyadh, Saudi Arabia; Berlin, Germany; London, United Kingdom; Amman, Jordan; Cairo, Egypt Müller's Solutions is seeking an innovative and driven AI Business Development Specialist to join our rapidly growing team. In this role, you will focus on identifying new opportunities within the Artificial Intelligence sector, driving adoption of AI solutions, and expanding our market presence. Your expertise in AI technologies, combined with your passion for business development, will allow you to engage effectively with clients, understand their unique challenges, and present tailored AI-driven solutions to enhance their operations. You will play a vital role in building relationships and promoting our offerings in this cutting-edge field. Key Responsibilities: Identify and pursue new business opportunities in the AI domain. Build and maintain strong relationships with existing and prospective clients. Conduct market research to stay updated on AI trends and competitive landscape. Develop and deliver presentations that effectively articulate the value and benefits of AI solutions. Collaborate with technical teams to align AI solutions with client requirements. Prepare strategic proposals and negotiate contracts with clients. Track and report on business development metrics and adjust strategies as needed. Represent Müller's Solutions at industry conferences and networking events to promote our AI services. Requirements About Us At Müller Solutions, we believe AI is reshaping industries . From government digital transformation to retail, energy, and financial services, our mission is to help organizations unlock the full potential of AI consulting and AI-powered solutions . With strong presence across Saudi Arabia, UAE, Egypt, and Germany, we are building the next wave of AI-driven growth in the region . The Opportunity We are looking for an ambitious and dynamic AI Business Development Manager who will become the face of our AI practice in Saudi Arabia . This role goes beyond sales—it’s about shaping conversations with executives, spotting opportunities where AI can transform businesses, and driving deals from idea to reality . If you are passionate about AI, innovation, and business growth —this role is for you. What You’ll Do Champion Müller Solutions’ AI services and solutions in the Saudi and GCC markets. Identify, pitch, and close opportunities across industries (Government, Energy, Retail, Banking, Manufacturing). Act as a trusted advisor to clients on how AI can solve their toughest challenges . Collaborate with our AI consultants and delivery teams to design winning solutions. Represent Müller Solutions at events, conferences, and client workshops. Consistently achieve and exceed growth targets. What We’re Looking For Saudi National (priority for this role). 4+ years’ experience in business development or solution sales within technology, digital transformation, or consulting. Strong understanding of AI technologies (Machine Learning, NLP, Computer Vision, Generative AI) and ability to communicate their business impact. Proven track record of closing deals and building client relationships. Strong communication, negotiation, and presentation skills. Bilingual (Arabic & English). A proactive, entrepreneurial mindset with passion for innovation and growth . Benefits Why Join Us: Competitive salary + performance-based incentives . Be part of a fast-growing AI consulting leader in the MENA region. Work on high-impact projects with governments and top enterprises. Career growth opportunities in AI and digital transformation leadership . Collaborative, innovative, and entrepreneurial culture.

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 We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key r esponsibilities Architect and implement cutting-edge iOS applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one Minimum qualifications Expertise in Swift, UIKit, SwiftUI, and iOS frameworks Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 | 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 We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key responsibilities Architect and implement cutting-edge Android applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one Minimum qualifications Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Juvigny, France; Gorbio, France; Saint-Malo, France Transformez votre passion pour l'industrie du luxe en une opportunité de carrière. Explorez le monde des marques haut de gamme et ayez un impact durable sur les secteurs de la mode, de la beauté, de la joaillerie ou encore de l'automobile. À propos du poste : En tant qu'évaluateur/évaluatrice de marques de luxe, vous entrerez dans l'univers du luxe pour évaluer discrètement l'expérience client en donnant un avis essentiel qui aidera les marques à affiner leurs services. Qu'il s'agisse de visiter des boutiques, d'acheter en ligne ou de retourner un produit, votre voix façonne l'avenir de l'industrie du luxe. - Flexibilité : chaque visite en boutique dure environ 20 minutes, ce qui vous donne la flexibilité d'effectuer plusieurs missions. - Opportunités fréquentes : effectuez plusieurs missions par mois et collaborez avec certaines des marques les plus prestigieuses au monde. Ce que vous ferez : 1. Choisissez vos missions : adaptez vos missions à vos préférences personnelles et à votre profil. 2. Visitez des boutiques de luxe ou évaluez en ligne : dialoguez avec les Conseillers dans les boutiques ou en ligne depuis le confort de votre domicile. 3. Observez attentivement : examinez l'ambiance, la qualité du service et l'expérience globale du client. 4. Donnez un avis honnête : utilisez notre plateforme pour partager vos observations à l'aide de questionnaires. Avantages du poste : •Une collaboration avec des marques emblématiques dans tous les secteurs d'activité. •Des missions flexibles adaptées à vos intérêts. •Une rémunération pour votre temps et votre contribution, avec la possibilité d'un remboursement sur les achats. •Une plateforme conviviale pour gérer les missions et les avis. Comment rejoindre la communauté CXG : 1. Inscrivez-vous : inscrivez-vous sur live.cxg.com et confirmez votre adresse e-mail. 2. Complétez votre profil : remplissez vos informations à 100 % et attendez que votre profil soit vérifié. 3. Obtenez la certification : validez la Certification Générale pour accéder aux missions. 4. Postulez pour des missions : explorez des missions avec des marques qui vous intéressent. 5. Commencez à évaluer : commencez à faire la différence sur le marché du luxe. Rémunération : - Évaluations sans achat : Gagnez une rémunération basée sur la complexité de la mission. - Évaluations avec achat : Remboursement des articles approuvés conformément aux instructions de la mission. À propos de CXG Chez CXG, nous mettons en relation des marques haut de gamme avec plus de 80 000 évaluateurs et évaluatrices dans 70 pays. Avec 12 bureaux dans le monde et près de deux décennies d'expertise dans le domaine de l'expérience client dans la vente au détail, nous nous engageons à redéfinir l'expérience client pour les géants du luxe. Rejoignez-nous et profitez de la flexibilité du travail en déplacement grâce à notre plateforme mobile, CXG Live. Sur cette plateforme, vous pouvez gérer en toute transparence les missions, les certifications et les avis. Requirements Vous avez 18 ans ou plus. Vous êtes déjà client(e) de marques haut de gamme ou de luxe. Vous n'êtes pas engagé(e) contractuellement avec des marques de vente au détail, afin de préserver l'intégrité. Vous êtes ponctuel(le), organisé(e), soucieux/soucieuse du détail et fiable. Vous êtes attentif/ve à et passionné(e) par l'expérience client. Aucune expérience antérieure n'est requise, nous accordons de l'importance aux commentaires honnêtes de la part de clients authentiques.

Location: Bayonne, France; Laval, France; Labège, France; Limoges, France Transformez votre passion pour l'industrie du luxe en une opportunité de carrière. Explorez le monde des marques haut de gamme et ayez un impact durable sur les secteurs de la mode, de la beauté, de la joaillerie ou encore de l'automobile. À propos du poste : En tant qu'évaluateur/évaluatrice de marques de luxe, vous entrerez dans l'univers du luxe pour évaluer discrètement l'expérience client en donnant un avis essentiel qui aidera les marques à affiner leurs services. Qu'il s'agisse de visiter des boutiques, d'acheter en ligne ou de retourner un produit, votre voix façonne l'avenir de l'industrie du luxe. - Flexibilité : chaque visite en boutique dure environ 20 minutes, ce qui vous donne la flexibilité d'effectuer plusieurs missions. - Opportunités fréquentes : effectuez plusieurs missions par mois et collaborez avec certaines des marques les plus prestigieuses au monde. Ce que vous ferez : 1. Choisissez vos missions : adaptez vos missions à vos préférences personnelles et à votre profil. 2. Visitez des boutiques de luxe ou évaluez en ligne : dialoguez avec les Conseillers dans les boutiques ou en ligne depuis le confort de votre domicile. 3. Observez attentivement : examinez l'ambiance, la qualité du service et l'expérience globale du client. 4. Donnez un avis honnête : utilisez notre plateforme pour partager vos observations à l'aide de questionnaires. Avantages du poste : •Une collaboration avec des marques emblématiques dans tous les secteurs d'activité. •Des missions flexibles adaptées à vos intérêts. •Une rémunération pour votre temps et votre contribution, avec la possibilité d'un remboursement sur les achats. •Une plateforme conviviale pour gérer les missions et les avis. Comment rejoindre la communauté CXG : 1. Inscrivez-vous : inscrivez-vous sur live.cxg.com et confirmez votre adresse e-mail. 2. Complétez votre profil : remplissez vos informations à 100 % et attendez que votre profil soit vérifié. 3. Obtenez la certification : validez la Certification Générale pour accéder aux missions. 4. Postulez pour des missions : explorez des missions avec des marques qui vous intéressent. 5. Commencez à évaluer : commencez à faire la différence sur le marché du luxe. Rémunération : - Évaluations sans achat : Gagnez une rémunération basée sur la complexité de la mission. - Évaluations avec achat : Remboursement des articles approuvés conformément aux instructions de la mission. À propos de CXG Chez CXG, nous mettons en relation des marques haut de gamme avec plus de 80 000 évaluateurs et évaluatrices dans 70 pays. Avec 12 bureaux dans le monde et près de deux décennies d'expertise dans le domaine de l'expérience client dans la vente au détail, nous nous engageons à redéfinir l'expérience client pour les géants du luxe. Rejoignez-nous et profitez de la flexibilité du travail en déplacement grâce à notre plateforme mobile, CXG Live. Sur cette plateforme, vous pouvez gérer en toute transparence les missions, les certifications et les avis. Requirements Vous avez 18 ans ou plus. Vous êtes déjà client(e) de marques haut de gamme ou de luxe. Vous n'êtes pas engagé(e) contractuellement avec des marques de vente au détail, afin de préserver l'intégrité. Vous êtes ponctuel(le), organisé(e), soucieux/soucieuse du détail et fiable. Vous êtes attentif/ve à et passionné(e) par l'expérience client. Aucune expérience antérieure n'est requise, nous accordons de l'importance aux commentaires honnêtes de la part de clients authentiques.