Вакансии

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE  We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO  - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals WHAT YOU’LL NEED - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Canada Role Overview: As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing, ​​​​​​​motor drive units,​​​​​​​ onboard processors, ​​​​​and mass-storage units, all of which utilize cutting-edge space technologies. Key Responsibilities: Lead the digital/analog PCB design for space environments. Mentor and oversee junior team members and interns in PCB design. Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.). Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration. Complete or review the schematic capture level design. Identify and manage technology and design risks. Provide guidance to ensure Design for Manufacture/Test in space environments. Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings. Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space. Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA). Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout. Oversee board assembly and manufacturing tests. Prepare and review various documents, including review presentations, test plans, test procedures, etc. Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards. Provide support for environmental and functional tests and validation for space missions. Report progress and address issues to the program lead or manager. Required Qualifications: Bachelor’s degree in electrical engineering, computer engineering, or equivalent field. Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs. Demonstrated expertise in at least one of these areas of competence. Proficiency in coaching and supervising junior team members and interns. Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.). Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc. Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience. Knowledge of PCB manufacturing processes. Exposure to mechanical packaging is a valuable asset. Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. We are scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. We are looking for engineers with deep specialization in cloud infrastructure. We are particularly interested in experience with container orchestration, low-level networking, and storage management. Areas of focus will be improving our architecture to schedule & spin up containers orders of magnitude faster, develop offerings to support our customers' growing AI workloads, improving the performance of and adding new features to our internal traffic routing & load balancing, and building low-level primitives to enable our users to massively parallelize data processing workloads. WHAT YOU'LL DO - Own Render's core infrastructure across multiple data centers and regions. - Help offer unique capabilities to Render customers through infrastructure innovation. - Plan and architect for rapidly increasing scale. - Debug issues at all levels in our infrastructure stack. - Improve the performance and reliability of our infrastructure through increased observability, load testing, and chaos engineering. - Collaborate with other engineers to help keep our platform stable, predictable, and secure. - Participate in our on-call rotation, with the rest of the engineering team. WHAT WE'RE LOOKING FOR - At least 5 years of experience building and scaling cloud infrastructure. - Experience developing, maintaining, and debugging production systems at scale. - Experience building, operating and scaling Kubernetes clusters or similar resource/container orchestration. - Experience with infrastructure-as-code tools like Terraform, Pulumi, and Ansible. NICE-TO-HAVES - Experience with Linux kernel and/or container optimization - Familiarity with observability tools like Datadog, Grafana, and OpenTelemetry. - Experience hosting PostgreSQL (or similar data stores) at scale. - Security hardening skills, especially in the context of untrusted workloads. RELEVANT LINKS FROM THE RENDER ENGINEERING TEAM - SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk - Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers - How Render Scaled Knative to 100k+ Web Apps https://render.com/blog/knative - Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests - How Render Enforces Access Controls with Go Generics https://render.com/blog/how-render-enforces-access-controls-with-go-generics - Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. 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. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Bangalore 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: Wrike is seeking a highly adaptable Senior Product Manager to join our global product organization. As a strategic leader, you will own the end-to-end lifecycle of your product area, driving measurable business impact and solving complex problems for millions of users. We are looking for a versatile generalist who is comfortable tackling diverse challenges as business needs evolve, but who is ready to immediately dive into a high-impact, transformative domain: AI-driven Work Intake . Your Impact: Deliver Innovation: Validate and ship solutions that revolutionize how work flows into systems, saving customers time and boosting work quality for both administrators and end-users. Evolve Wrike's work intake experience through platform and agentic capabilities within your first 6 months. Drive Discovery & Vision: Deeply understand customer workflows and underlying business pains to uncover emerging needs. Paint a compelling product vision and propose pragmatic, innovative solutions — whether through advanced AI, platform capabilities, or a combination of both — that best solve the core problem. Adapt & Scale: Act as a flexible product leader capable of pivoting to new, critical product domains as our overarching business strategy evolves. Your Qualifications: 4+ years of hands-on experience in B2B SaaS Product Management, owning customer-facing digital products from ideation to launch. Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences. Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs. Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features. Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization. Advanced English language skills (written and spoken), with the ability to communicate complex concepts clearly to diverse stakeholders. Standout Qualities: Experience in the enterprise collaboration, project management, or work management domain. Proven experience building and delivering AI or LLM-driven product experiences to market. Demonstrated ability to balance the complex configuration needs of system administrators with a frictionless experience for end-users. Team Dynamics: You will operate within a core "Product Trio" model (Product, UX, and Engineering) to guide a tight-knit Scrum team of 6-8 engineers and QA to deliver the product innovations. You will partner heavily across the organization, pulling in expertise from specialized roles such as AI/ML engineers, Data Scientists, Product Analytics, and Go-to-Market teams to ensure successful launches. You will have direct access to enterprise customers and admins to conduct continuous research, test early prototypes, and validate hypotheses through tight feedback loops. The opportunity to operate at the bleeding edge of AI and work management, blending complex, enterprise-grade capabilities with modern, intelligent user experiences. Benefits & Perks: 10 days of National and Festival Holidays per year (eight fixed, two flexible) 18 days of paid vacation per year 14 days of sick leave with a medical certificate per year 5 uncertified sick days per year Group Medical Plan: Coverage for employees, spouse, children, and parents/in-laws for Rs 5,00,000. Free health checkup for employees Personal Accident Insurance: Rs 50,00,000 Term Life Insurance: Rs 50,00,000 Up to 26 weeks of paid maternity leave for the first two children 4 weeks of paid parental leave 2 days off for volunteering with nonprofit charities Broadband/Internet Reimbursement: INR 1500 per month Full-stocked pantry and complimentary lunch Hybrid work model What’s Next? Interview with a Recruiter Hiring Manager Interview Product Case Study / Technical Interview Cultural Fit Interview Final interview with Product Director Your recruitment buddy will be Tripti Sachan , Senior Recruiter. #LI-TS1 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: Paris, Remote Workplace: remote As a Key Account Manager (KAM), you play a decisive role in the growth of 360Learning's business and you will join a team of 5 KAMs (Mid-market). You will be in charge of around 100 accounts (existing customers from 100 to 2,500 employees).   At 360Learning, the KAM role is 80% sales oriented and your goal is to develop your portfolio and generate growth. But, you will not work alone! Client Success Partners and internal experts (digital pedagogy, platform structuring, IT) are in charge of the client’s project monitoring and execution. Collaborating with these teams will be instrumental to succeed in your upsell actions.    We are eager to retain the best talent in our teams, and we will encourage internal moves after 2-3 years of continuous success to build together fulfilling career paths. This KAM Mid-role offers the possibility of moving to a KAM Large position (existing customers from 2,500 to 10,000+ employees). Within 1 month, you will: Become a Trello expert and get familiar with our product Learn to navigate Convexity , our working environment Meet the different teams at 360Learning Finalize your onboarding Within 3 months, you will: Take full ownership of your portfolio of customers Map accounts and define an account growth strategy, prioritize your portfolio (tiering) Work closely with our Client Success Partners to gather relevant information about our existing clients, in order to generate upselling Prepare account reviews with our clients in order to identify areas of development Conduct presentations and demonstrations of 360Learning Complete the handover of your portfolio and close 30-50 K€ of new ARR in your first quarter (depending on start date) Within 6 months, you will: Ensure accurate reporting of the activity with your coach to optimize the forecast Be proactive in order to improve business processes Write complex business proposals and conduct business negotiations Close 65-85 K€ of new ARR in your second quarter (depending on start date) Within 12 months, you will : Prepare, anticipate and ensure the renewal of clients’ contracts Define action plans to generate upsells Manage the entire business relationship with the clients Exceed your targets and be on track to reach the yearly target The Skills Set 3+ years of experience in an Account Manager or sales-related function (revenue generation with a portfolio of clients) Previous experiences working in the SaaS industry Experience in a fast-growing environment such as start-up / scale-up, which requires agility and responsiveness Active listening skills and a team player mindset Excellent written and verbal communication skills Fluent French and excellent English (B2+) proficiency Enthusiasm for our culture explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision what's it like to join 360Learning through our onboarding journey: https://360learning.com/blog/360learner-journey/ & Convexity Culture: https://bit.ly/Convexity_360L 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting Interview with our Key Account Manager Mid Market Coach Case Study Meeting with our Key Account Manager Mid Market Coach and our VP Mid Market EMEA Clarification Meeting with our VP Mid Market EMEA Culture Fit Meeting with our Chief Sales Officer Offer! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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 We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Spain, Remote Workplace: remote As a Client Success Partner (CSP) within the Enterprise team, you will support our largest clients in their digital training strategy through the 360Learning platform.    Your mission is to build a strong relationship with the HR executives (CHRO, Chief Learning Officer & Digital Learning Manager) of our clients to develop the usage, adoption & impact of our solution.    Given the complexity of Enterprise clients, you will act as a true facilitator to ensure the renewal of the clients by :   - coordinating the different 360Learning resources (technical, pedagogical,...) - empowering the client with the Enterprise positioning and vision provided by our solution    Ultimately, you will ensure the renewal or signing of new contracts for accounts listed in your portfolio. Within one month, you will: Master our product and Convexity corporate culture Familiarize yourself with the processes and tools used by our Client Success Partner (CSP) team Participate in your first customer meetings with other CSP’s from the team Within three months, you will: Take over a portfolio of existing customers, for the largest accounts (Enterprise accounts) at 360Learning Start new projects with prospects and clients Within six months you will: Define the learning transformation roadmap with the client and identify the resources needed to achieve them Define a retro-planning of the initiatives on the solution and vouch for it Identify and document customer use cases Develop a relationship of trust between the client and 360Learning, particularly by having direct contact with Top Management teams Work with the Account Managers to identify new project opportunities to develop the account (up-selling and cross-selling opportunities) Within twelve months, you will: Reduce churn by identifying customers at risk and implementing a remedial action plan Identify strong leaders & advocates within the client’s team Develop and share good business practices with the entire Client Success team The Skills Set 3+ years of experience as a Client Success Manager or HR/Learning/Change Management Consulting or Digital Learning Manager Ability to lead complex and impactful projects in/for Enterprise accounts (more than 2000 employees) Proven knowledge of the SaaS B2B industry is a plus Proven interest in the digital industry, education, and e-learning in particular Excellent interpersonal and communication skills Fluent French, and excellent English proficiency (B2 minimum) What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity.Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Client Success Partner from our Enterprise team Case Study with our Director of Customer Success and our Customer Success Entreprise Coach Clarification Meeting with our Customer Success Operations Manager Culture Fit Meeting with our Chief Customer Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Paris, Remote Workplace: remote As a Client Success Partner (CSP) within the Enterprise team, you will support our largest clients in their digital training strategy through the 360Learning platform.    Your mission is to build a strong relationship with the HR executives (CHRO, Chief Learning Officer & Digital Learning Manager) of our clients to develop the usage, adoption & impact of our solution.    Given the complexity of Enterprise clients, you will act as a true facilitator to ensure the renewal of the clients by :   - coordinating the different 360Learning resources (technical, pedagogical,...) - empowering the client with the Enterprise positioning and vision provided by our solution    Ultimately, you will ensure the renewal or signing of new contracts for accounts listed in your portfolio. Within one month, you will: Master our product and Convexity corporate culture Familiarize yourself with the processes and tools used by our Client Success Partner (CSP) team Participate in your first customer meetings with other CSP’s from the team Within three months, you will: Take over a portfolio of existing customers, for the largest accounts (Enterprise accounts) at 360Learning Start new projects with prospects and clients Within six months you will: Define the learning transformation roadmap with the client and identify the resources needed to achieve them Define a retro-planning of the initiatives on the solution and vouch for it Identify and document customer use cases Develop a relationship of trust between the client and 360Learning, particularly by having direct contact with Top Management teams Work with the Account Managers to identify new project opportunities to develop the account (up-selling and cross-selling opportunities) Within twelve months, you will: Reduce churn by identifying customers at risk and implementing a remedial action plan Identify strong leaders & advocates within the client’s team Develop and share good business practices with the entire Client Success team The Skills Set 3+ years of experience as a Client Success Manager or HR/Learning/Change Management Consulting or Digital Learning Manager Ability to lead complex and impactful projects in/for Enterprise accounts (more than 2000 employees) Proven knowledge of the SaaS B2B industry is a plus Proven interest in the digital industry, education, and e-learning in particular Excellent interpersonal and communication skills Fluent French, and excellent English proficiency (B2 minimum) What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Client Success Partner from our Enterprise team Case Study with our Director of Customer Success and our Customer Success Entreprise Coach Clarification Meeting with our Customer Success Operations Manager Culture Fit Meeting with our Chief Customer Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Christchurch, New Zealand You will be a practitioner on our telehealth platform 'Intellect', where your role is to support our clients' mental health and personal growth based on the individual needs and goals. This is delivered primarily through scheduled 60-minute video sessions on our platform. This is a freelance remote role with the flexibility to decide your business hours. Local candidates are preferred but others can still be considered. This role is a great opportunity to supplement your current job or private practice. We're seeking to partner with Clinical Psychologists and Counsellors to be part of a community working collaboratively to bring greater mental health access to the public to provide mental health coaching What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Focus on clinical cases such as depression, anxiety, trauma, schizophrenia, eating disorders, addiction etc. Collaboratively work with the internal clinical team by suggesting improvements to the program and the platform Requirements Has a Master / Postgraduate Diploma training in Counselling or Clinical Psychology Candidates must be skilled in Cognitive Behavioural Therapy or other evidence-based approaches (e.g. Motivational Interviewing, DBT, SFBT, etc.) Candidate must have at least 300 clinical hours post masters degree Candidate with prior experience supporting the Māori community Candidate can communicate in English and their local language Candidates with prior experience in EAP, counselling working adults or coaching managerial roles is a plus Candidates who are open to working onsite if necessary is a plus

Location: Spain, Remote Workplace: remote 360Learning is looking for a Business Development Representative (BDR) to join our French Enterprise Outbound team. Your role will consist of generating opportunities from 360Learning top priority, highest potential accounts. As the owner of these accounts, you will be in charge of developing personalized outreach strategies to connect with target personas and transform intent signals into a sales pipeline.   More specifically, you will be in charge of your territory to create and qualify cold outbound leads and contact potential customers through cold-calls, email, and LinkedIn. Throughout your conversations, you will detect customer pain points, understand their context, and how we can help. You will evangelize collaborative learning in the market, and pitch the 360Learning value proposition.   Working in close collaboration with your coach, marketing operations, demand generation, and sales, you will benefit from thorough onboarding and continuous learning & coaching opportunities as you grow. Within 1 month, you will… Finish onboarding and begin your core role as BDR Become a convexity master thanks to our onboarding process Understand our product , our positioning and our buyer persona Master the pitch and qualification methodology Discover your own Accounts territory and define common strategy of approach with your Account Executives and Key Account Managers Meet the team through virtual coffee meets and happy hour Start outreach to leads and create your first opportunities Within 3 months, you will... Fully master our tool stack and ramp up on outbound Act as a strategic partner to our Senior Account Manager to define their portfolio strategy Define your long-term Account Roadmap and start to address our highest personas on your Accounts Build strategic account-based outreach strategies to engage our buyer persona Within 6 months, you will… Be able to identify and leverage compelling new business entryways for very targeted outreach Reach 100% of monthly target Quickly research and strategize an approach to create interest and engage Detect & share opportunities to improve our outbound processes Within 12 months, you will: Be eligible to transition to an AE or KAM role Collaborate with sales teams by bringing innovative lead generation ideas to each weekly meeting The Skills Set Previous experience of at least 9-12 months hitting targets as a BDR or SDR targeting the enterprise market (5k-30k employees) in a B2B SaaS environment Previous experience in outbound and/or account-based marketing Strong written and oral communication skills Passion for learning and education Preferred but not mandatory: experience using Salesforce, Salesloft and Gong Master's degree in a related field is a bonus What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity.Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Business Development Case Study with our Head of Business Development and an Account Executive Clarification Meeting with a BDR from the team Culture Fit Meeting with our CRO Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Romania Are you passionate about making a difference in mental health? Join Intellect as a Clinical Provider, where you’ll play a vital role in supporting clients on their journeys toward better mental health and personal growth through our cutting-edge telehealth platform. This freelance, remote role offers complete flexibility, allowing you to set your own business hours. It’s a perfect opportunity to complement your current job or private practice. While we prefer local candidates, we’re open to professionals from diverse locations who are aligned with our mission. Why Join Us? Become part of a collaborative network of Clinical Psychologists and Counsellors dedicated to expanding access to quality mental health care. At Intellect, you’ll find a supportive community focused on enhancing lives and helping clients overcome personal challenges. Requirements What You'll Do Provide 1-on-1 telehealth/or onsite mental health support for Intellect’s clients Address a range of clinical cases, including depression, anxiety, trauma, schizophrenia, eating disorders, addiction, and more Partner with our internal clinical team to improve the platform and client programs Requirements Qualifications: Master’s degree in Counseling or Clinical Psychology Expertise: Skilled in Cognitive Behavioral Therapy or other evidence-based approaches (e.g., Motivational Interviewing, DBT, SFBT) Experience: A minimum of 300 clinical hours post-master’s degree Languages: Proficiency in English and your local language Preferred Background: Prior experience with EAP, adult counseling, or coaching managerial roles Flexibility: Openness to occasional onsite work, if necessary, is a plus If you’re ready to make a meaningful impact and be part of a mission-driven team, we’d love to hear from you. Apply today and join us in transforming mental health care!

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: We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally. This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges. Core Responsibilities: Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets Understand the needs of underserved communities and translate them into scalable technical and product solutions Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers Develop multilingual and accessibility capabilities across platforms Build systems to measure and demonstrate social impact at scale Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts You might be a good fit if you: Have 6+ years of practical experience as a full-stack software engineer Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs Care deeply about using technology for social good and want your engineering work to have meaningful impact Have excellent collaboration skills and can work effectively with product, partnerships, and field teams Strong candidates may also: Experience with international markets, multilingual products, or accessibility features Background in nonprofit technology, social impact startups, or mission-driven organizations Experience with AI/ML products and LLM applications Familiarity with building products for resource-constrained environments or emerging markets Understanding of compliance requirements in regulated sectors Startup experience, particularly in scaling products from zero to one 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: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Brazil Job Description Job Title: Medical Reviewer Employment Type: Contract Location: Brazil Experience – 2 to 5 Years About 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 centres 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: Awareness and understanding of relevant GVP modules. Perform medical review of non-serious & serious ICSRs with emphasis on seriousness, expectedness, causality & narrative etc. without missing on quality & compliance. Experience of medical review of ICSRs received from sources such as Spontaneous, Literature, Regulatory Authority, Solicited and Clinical trials. Experience across multiple therapeutic areas such as Oncology, Respiratory, Immunology, Neuroscience, Rare diseases etc. Support triage of cases and determine seriousness and relatedness across products as assigned. Review and verify appropriate selection of adverse events from source documents, assign appropriate MedDRA code, assess labelling and review narrative. Acquire and maintain current knowledge of product portfolio and safety profiles for products across therapeutic areas. Involve in process improvement activities such as implementation of quality control process. Provide medical guidance and expert opinion on the cases to the data entry associates and quality reviewers to help resolve queries. Identify and resolve case issues, coordinate with client therapeutic teams and within functional team and manage as appropriate. Maintain PV expertise, and understanding of international safety regulations and guidelines. Responsible for completing the MR activities in the safety database within the stipulated time to comply with service level agreements and regulatory timelines. Provide timely feedback to case processors on the errors/ discrepancies noted. Assist in training/mentoring of other case processing/medical review personnel as necessitated. Adapt to different client case processing conventions and multi-task as per business needs. Perform ad-hoc tasks as advised by the team lead/manager with quality and compliance as per project requirement. Participate in organizational activities to meet objectives suitable for the role/area of expertise. Candidate Profile: Should be a MBBS/MD with at least 2 years of experience as Medical Reviewer for ICSRs. Must possess thorough knowledge of ICH-GCP, relevant GVP module, 21 CFR guidelines and other regulatory requirements. Training and mentoring skill (GVP concepts & medical aspects such as disease condition, product portfolio etc) 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: 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. 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.