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Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case 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: $315,000 — $560,000 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: Warsaw Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA. We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.   Who we are looking for: We are seeking a passionate, proactive, and results-driven Event Manager to organize the company's events all over the world. Responsibilities •    Calculate and execute event budgeting for your own offline and online events, co-marketing events with partners, and external events. •    Coordinate and set tasks for content, UX design, design, and promotional campaigns for events across internal departments. •    Prepare internal plans, processes, briefings, POCs, and other deliverables for event approval, coordination, and execution. •    Search for and coordinate communications with vendors, venues, technology, and event service providers. •    Coordinate Creatio Community involvement in events, such as event sponsorships, customer travel support and coordination, community invitations, etc. •    Personally execute or coordinate the preparation and running of online events (including landing page development, software selection, broadcast execution, etc.). •    Execute event support tasks for major communication platforms and channels (such as LinkedIn, YouTube, Facebook, Twitter, Vimeo, etc.). •    Ensure event support for the company's participation in external events and co-marketing activities with partners. •    Manage events in CRM (including event execution, audience management, and analytics). •    Collect and prepare post-event analysis (incl. budget reports, event audience analytics, etc.). •    Generate ideas and coordinate supplies for brand merchandise, printing, and SWAG for Creatio offices and events worldwide. •    Participate in internal brainstorms and external cooperation to develop ideas for brand promotion initiatives, events, and special projects. •    Provide expert support for event-related tasks across other company projects and departments. Requirements • At least 3 years of experience in event management , preferably in global markets. •    Knowledge of the event services market and event management methodology for global markets. •    Ability to find and negotiate the most favorable terms. •    Ability to find out-of-the-box solutions for event execution. •    Fluency in written and conversational English. •    Desire to deep-dive into IT. •    Successful experience in attracting target audiences to events — a plus. •    Experience organizing IT events — a plus. What You Should Expect From Us Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: Flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: Competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is seeking an Assessment, Monitoring, and Evaluation (AM&E) Analyst to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Assess, monitor, and evaluate FMF and IMET funded programs on an ongoing basis. Research and analyze program data to identify program trends. Identify mechanisms to collect program data. Develop country reports, trip reports, annual assessments, and deep dive analyses. Coordinate and collaborate with the appropriate stakeholders within the State Department and Department of Defense. Conduct all monitoring-related tasks for FMF and IMET programs, including data collection, designing monitoring plans, and developing evaluations and assessments. Contribute substantively to the design of and conduct field testing of the evaluation methodology, participatory data collection methods and protocols, data verification techniques, and other analytical tasks. Qualifications A Bachelor’s degree from an accredited university and 8 years of relevant experience, or a Master’s degree and 5 years of relevant experience. At least three (3) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. Active Secret Security Clearance. Excellent communication skills, including writing and presenting findings and analyses regarding the impact of security assistance. Ability to provide strong analysis and critical thinking to complex matters of security assistance/ security cooperation, military operations, and international security. Experience related to: Developing program designs and monitoring plans Developing data collection plans to guide research efforts Preparing written analytical reports Coordinating and collaborating with multiple stakeholders in different organizations and departments Organized, detail-oriented, and passionate about international security cooperation. Ability to develop and implement processes and procedures to increase team effectiveness. Ability to multi-task, respond to quick turn-around requests, and prioritize tasks. Flexible and adaptable to change, including changes in processes, requirements, and priorities. Have a current passport and able to travel nationally/ internationally to participate in conferences, oversight visits, and occasional exercises. Proficiency in Microsoft Office Programs (Excel, Word, PowerPoint, SharePoint) Preferred Qualifications Experience in the military or supporting military security cooperation/ security assistance programs, and/or experience working with foreign militaries. Experience with international security advising or related military advising missions. Regional experience with European militaries or security assistance programs. Creative problem solver with a strong statistical background. Experience with Tableau and NVivo is a plus. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $100,000 — $150,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Washington, District of Columbia, United States Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About the Position Dexis is recruiting a Deputy Team Lead to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Support the Team Lead (TL) in providing overall program management, including strategic vision and team leadership; developing and implementing work plans; liaising with State Department and Department of Defense FMF/IMET stakeholders; interviewing foreign government officials; identifying and mitigating program risks; and ensuring achievement of program results and objectives. Provide technical support and oversight to knowledge management, monitoring, evaluation, capacity building, learning, and other project activities and assist the TL in monitoring the work of staff. Conduct research and analyze program data to identify program trends. Develop country reports, annual assessment, and deep dive analyses. Manage all performance monitoring-related tasks for FMF and IMET, including supervision of data collection, hands-on generation of new project data, and participation in evaluations and assessments. Contribute substantively to the design and development of the evaluation methodology, participatory data collection methods and protocols, data verification techniques, development of evaluation products, and other analytical tasks. Qualifications A Master’s degree or higher in a relevant discipline, such as international relations, defense and security policy, military studies, trade policy, public policy, public administration. At least five (5) years of relevant experience. At least three (3) years of foreign or security assistance initiative experience in designing or conducting large-scale AME analytic activities for international programs. Active Secret Security Clearance. Excellent leadership and interpersonal skills and ability to work with many disparate stakeholders with competing interests. Strong analytical and critical thinking skills. Excellent communication skills to include technical writing and editing, oral communication, interpersonal and organization skills. Experience related to: Developing data collection plans to guide research efforts Preparing written analytical reports Coordinating and collaborating with multiple stakeholders Awareness of monitoring and evaluation policies of the Department of State. Experience and understanding of security assistance and security cooperation policies, activities, processes. Self-motivated, detail oriented, and highly organized. Ability to develop and implement processes and procedures to increase team effectiveness. Ability to multi-task, respond to quick turn-around requests, and prioritize tasks. Flexible and readily adaptable to change, including changes in processes, requirements, and priorities. Proficiency in Microsoft Office Programs (Excel, Word, PowerPoint, SharePoint). Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research , our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis pay range for this role: $115,000 — $150,000 USD Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

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: London; Europe; New York; Paris; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. Key responsibilities: - Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. - Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms - Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users - Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs. Qualifications: - A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). - Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development - Hands-on experience with frontier LLMs and their applications in code generation or automation. - Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. - Experience with distributed systems, cloud infrastructure, and scalable architectures. - A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. Within the Data team, you’ll join the BI/Prediction Team which is an autonomous squad of around 10 people. The team is composed of top-tier product managers, software & data engineers, data scientists and data analysts. ROLE The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Take ownership of our products modeling pipelines - Contribute to high modeling performance through insightful ideas and initiatives. - Build and deploy quickly scalable ML systems. - Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders. - Deep dive into data to discover relevant insights. - Build a rich understanding of the mobile gaming industry, the company strategy, our products and their fit within the company’s daily operations. - Mentor and guide a team of data scientists, fostering technical excellence and autonomy. - Establish and enforce best practices in ML engineering, experimentation, and reproducibility across projects. - Champion a culture of impact-driven research, ensuring models not only perform well technically but also create tangible business value. - Proactively identify risks in modeling approaches, data quality, scalability, business alignment and design mitigation strategies. PROFILE - Extensive experience building machine learning systems - Extensive experience with Python, SQL and MLOps best practices - Cloud experience needed (ideally AWS but could be another cloud provider) - Airflow and DBT experience is a nice to have - Excellent Communication in English and French mandatory - You enjoy working in a team, learning new things, sharing knowledge - Experience in a tech startup/scaleup is a plus - Strong achievements on Kaggle will be valued BENEFITS - Competitive salary - Comprehensive relocation package (including visa support) - Premium healthcare (SideCare) for you and your family 100% borne by Voodoo - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Wellness activities in our Paris office - Unlimited vacation policy - Remote days - Child daycare facilities (Les Petits Chaperons rouges)

Location: Paris; London; New York; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. - Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime. - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus] Experience in ML, LLM and RL academic research. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Limassol; Athens; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role:  We’re looking for an Angular Developer - Team Lead to guide and grow a high-performing front-end development team. In this role, you’ll combine hands-on Angular development with leadership responsibilities, ensuring your team delivers robust, scalable, client-facing applications. You’ll actively shape the technical direction, enforce coding standards, foster a culture of engineering excellence, and coach developers to reach their full potential.   This is an exciting opportunity to lead technically challenging projects, drive modern development practices, and collaborate with cross-functional teams to deliver impactful digital products. The main responsibilities of the position include: Lead the team’s Agile delivery process, from task allocation and sprint planning to retrospectives and cross-team coordination Design and develop advanced, scalable front-end applications using the Angular framework Set individual goals for team members, regularly monitor progress, and provide constructive feedback Champion clean, maintainable code, modern architectural patterns, and performance optimization techniques Conduct and supervise code reviews to ensure technical consistency, code quality, and adherence to company standards Provide technical guidance, mentorship, and career development support to team members Actively promote team morale and engagement, creating an environment where people are motivated and empowered to perform at their best Collaborate with Team Leaders, Architects, Product Owners, and UX/UI teams to align on product vision, architecture, and delivery priorities Influence system design, technical direction, and the selection of front-end technologies Monitor and maintain the health of front-end applications, proactively addressing performance, scalability, and security issues Define and enforce coding standards, development workflows, and front-end best practices within the team Main requirements: BSc/MSc in Computer Science, Engineering, or a related field Minimum of 6 years of experience in JavaScript development, with strong expertise in Angular 1–2 years in a leadership or technical lead role, preferably in an Agile environment Deep understanding of front-end architecture, lifecycle, and scalable design Solid grasp of algorithms, data structures, and OOP principles Proficient in Git, HTML, SCSS, and REST API integration Strong communication and leadership skills, with experience mentoring developers across all levels Skilled in leading technical discussions, code reviews, and driving continuous improvement Solid understanding of front-end performance optimization, scalability, and security best practices Strong cross-functional collaboration skills The following will be considered an advantage: Experience with Tailwind CSS Experience with the Ionic Framework Familiarity with AWS services Familiarity with Capacitor Contributions to open-source projects, technical blogs, or public speaking engagements Working knowledge of Node.js . Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Bring It to Life – Role-Specific Take-Home Task Deep Dive – First Interview with Your Future Team Test your edge – Aptitude / Personality Assessment Get Closer – Second Interview with the Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Software Support Engineer to… …work in a dynamic and exciting engineering role in Linux-based infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM), containerization (Docker/LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), OpenStack, Kubernetes and the open source applications running on top of them. It will challenge you to show the breadth of your engineering skills, which will be needed to work on almost any aspect of Ubuntu and the open source applications large enterprise customers run. This role is an opportunity for a technologist with a passion for Linux and open source to build a career with Canonical and drive success for our customers, community and the company. If you have an affinity for open source software, great communication skills, and a passion for troubleshooting and fixing issues in technology used by millions across the world, then you will enjoy working with some of the best people in the industry at Canonical. This role deals with critical issues in the open source stack that require upstream bug fixes. Our engineers are able to work productively at any level of the stack including the kernel and in a wide range of languages, to understand and address the software issues at hand. Our group is critical to the success of our customers, partners and Ubuntu itself. You will help with troubleshooting and driving issues to resolution with workarounds, guidance, and bug fixes to be released upstream and in Ubuntu. Location: This is a remote role, we have teams in all time zones. The role entails Resolve complex customer problems related to Ubuntu, Kernel, Ceph, OpenStack, or Kubernetes and other open source software Maintain a close working relationship with Canonical's Field, Support and product engineering teams Participate in upstream communities Develop bug fixes, backport patches, and work with upstream for inclusion Review code produced by other engineers Demonstrate good judgment in technical methods and techniques Prioritize work and manage your time effectively against those priorities Participate in team discussions to improve processes, tools, and documentation Maintain clear, technical and concise communications Work from home and travel internationally up to 10% of work time for team meetings, events and conferences What we are looking for in you An exceptional academic track record Background in Computer Science, STEM or similar Experience with Linux and open source software Experience with at least one of Python, Go, C or C++ on Linux A drive to learn unfamiliar technology and deep-dive difficult issues Willingness to travel up to 4 times a year for internal events Nice-to-have skills You love technology and working with brilliant people You are curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated You have interest in, or willingness to learn about any of the following: Ubuntu Linux - kernel or userspace, Kubernetes, OpenStack, Ceph, QEMU/KVM, LXC/LXD,Postgresql, Mongo, Debian packaging, distributed systems What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-Remote

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Software Maintenance Engineer to… …work in a dynamic and exciting engineering role in Linux-based infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM), containerization (Docker/LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), OpenStack, Kubernetes and the open source applications running on top of them. It will challenge you to show the breadth of your engineering skills, which will be needed to work on almost any aspect of Ubuntu and the open source applications large enterprise customers run. This role is an opportunity for a technologist with a passion for Linux and open source to build a career with Canonical and drive success for our customers, community and the company. If you have an affinity for open source software, great communication skills, and a passion for troubleshooting and fixing issues in technology used by millions across the world, then you will enjoy working with some of the best people in the industry at Canonical. This role deals with critical issues in the open source stack that require upstream bug fixes. Our engineers are able to work productively at any level of the stack including the kernel and in a wide range of languages, to understand and address the software issues at hand. Our group is critical to the success of our customers, partners and Ubuntu itself. You will help with troubleshooting and driving issues to resolution with workarounds, guidance, and bug fixes to be released upstream and in Ubuntu. Location: This is a remote role, we have teams in all time zones. The role entails Resolve complex customer problems related to Ubuntu, Kernel, Ceph, OpenStack, or Kubernetes and other open source software Maintain a close working relationship with Canonical's Field, Support and product engineering teams Participate in upstream communities Develop bug fixes, backport patches, and work with upstream for inclusion Review code produced by other engineers Demonstrate good judgment in technical methods and techniques Prioritize work and manage your time effectively against those priorities Participate in team discussions to improve processes, tools, and documentation Maintain clear, technical and concise communications Work from home and travel internationally up to 10% of work time for team meetings, events and conferences What we are looking for in you An exceptional academic track record Background in Computer Science, STEM or similar Experience with Linux and open source software Experience with at least one of Python, Go, C or C++ on Linux A drive to learn unfamiliar technology and deep-dive difficult issues Willingness to travel up to 4 times a year for internal events Nice-to-have skills You love technology and working with brilliant people You are curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated You have interest in, or willingness to learn about any of the following: Ubuntu Linux - kernel or userspace, Kubernetes, OpenStack, Ceph, QEMU/KVM, LXC/LXD,Postgresql, Mongo, Debian packaging, distributed systems What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-Remote

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring a Software Engineer - L3 Support to… …work in a dynamic and exciting engineering role in Linux-based infrastructure and applications, covering all layers of the stack, including bare metal, virtualization (KVM), containerization (Docker/LXC/LXD), storage (Ceph and Linux filesystems), networking (OVS, OVN and Core networking), OpenStack, Kubernetes and the open source applications running on top of them. It will challenge you to show the breadth of your engineering skills, which will be needed to work on almost any aspect of Ubuntu and the open source applications large enterprise customers run. This role is an opportunity for a technologist with a passion for Linux and open source to build a career with Canonical and drive success for our customers, community and the company. If you have an affinity for open source software, great communication skills, and a passion for troubleshooting and fixing issues in technology used by millions across the world, then you will enjoy working with some of the best people in the industry at Canonical. This role deals with critical issues in the open source stack that require upstream bug fixes. Our engineers are able to work productively at any level of the stack including the kernel and in a wide range of languages, to understand and address the software issues at hand. Our group is critical to the success of our customers, partners and Ubuntu itself. You will help with troubleshooting and driving issues to resolution with workarounds, guidance, and bug fixes to be released upstream and in Ubuntu. Location: This is a remote role, we have teams in all time zones. The role entails Resolve complex customer problems related to Ubuntu, Kernel, Ceph, OpenStack, or Kubernetes and other open source software Maintain a close working relationship with Canonical's Field, Support and product engineering teams Participate in upstream communities Develop bug fixes, backport patches, and work with upstream for inclusion Review code produced by other engineers Demonstrate good judgment in technical methods and techniques Prioritize work and manage your time effectively against those priorities Participate in team discussions to improve processes, tools, and documentation Maintain clear, technical and concise communications Work from home and travel internationally up to 10% of work time for team meetings, events and conferences What we are looking for in you An exceptional academic track record Background in Computer Science, STEM or similar Experience with Linux and open source software Experience with at least one of Python, Go, C or C++ on Linux A drive to learn unfamiliar technology and deep-dive difficult issues Willingness to travel up to 4 times a year for internal events Nice-to-have skills You love technology and working with brilliant people You are curious, flexible, articulate, and accountable You value soft skills and are passionate, enterprising, thoughtful, and self-motivated You have interest in, or willingness to learn about any of the following: Ubuntu Linux - kernel or userspace, Kubernetes, OpenStack, Ceph, QEMU/KVM, LXC/LXD,Postgresql, Mongo, Debian packaging, distributed systems What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-Remote

Location: Ukraine Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:Creatio is looking for a like-minded professional and highly motivated Event Manager to organize the company's events all over the world.This role is based in Ukraine. Responsibilities:Organize our company's events all over the world both online and offline (the number of participants from 20 to 1000 people). The scope of work includes the processes from the concept design and project management to the event coordination;Coordinate and facilitate online events and webinars from scratch (incl. landing page, webinar platforms arrangement, participation in promotion, speakers briefings and post-event analytics);Coordinate and conduct company’s participation in co-marketing activities with partners and external events according to corporate standards and processes;Participate in internal brainstorms and external cooperations to develop ideas for brand promotion initiatives, events and special projects;Generate ideas and coordinate supplies for brand merchandize, printing and SWAG for Creatio offices and events worldwide;Search and arrange work with vendors, venues, print houses and other event services providers;Promote events and attract participants to all kinds of events;Initiate financial and legal document flow related to the events.Requirements:Experience with events management no less than 3 years, preferably on global markets;Knowledge of the event services market and the event management methodology for the global markets;Ability to find and negotiate the most favorable terms;Ability to find out of the box solutions for the events execution;Fluency in written and conversational English;Desire to deep dive into IT;Successful experience in attracting the target audience to the events will be a plus;Experience with organizing IT events will be a plus. What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Responsibilities: •    Calculate and execute event budgeting for your own offline and online events, co-marketing events with partners, and external events. •    Coordinate and set tasks for content, UX design, design, and promotional campaigns for events across internal departments. •    Prepare internal plans, processes, briefings, POCs, and other deliverables for event approval, coordination, and execution. •    Search for and coordinate communications with vendors, venues, technology, and event service providers. •    Coordinate Creatio Community involvement in events, such as event sponsorships, customer travel support and coordination, community invitations, etc. •    Personally execute or coordinate the preparation and running of online events (including landing page development, software selection, broadcast execution, etc.). •    Execute event support tasks for major communication platforms and channels (such as LinkedIn, YouTube, Facebook, Twitter, Vimeo, etc.). •    Ensure event support for the company's participation in external events and co-marketing activities with partners. •    Manage events in CRM (including event execution, audience management, and analytics). •    Collect and prepare post-event analysis (incl. budget reports, event audience analytics, etc.). •    Generate ideas and coordinate supplies for brand merchandise, printing, and SWAG for Creatio offices and events worldwide. •    Participate in internal brainstorms and external cooperation to develop ideas for brand promotion initiatives, events, and special projects. •    Provide expert support for event-related tasks across other company projects and departments. Requirements: • At least 3 years of experience in event management , preferably in global markets. •    Knowledge of the event services market and event management methodology for global markets. •    Ability to find and negotiate the most favorable terms. •    Ability to find out-of-the-box solutions for event execution. •    Fluency in written and conversational English. •    Desire to deep-dive into IT. •    Successful experience in attracting target audiences to events — a plus. •    Experience organizing IT events — a plus. What You Should Expect From Us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: Flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: Competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Athens; Limassol; Thessaloniki; Nicosia; Fully Remote - in other eligible locations Workplace: hybrid The Role: We are looking for a skilled MLOps Engineer to join our team and play a key role in bridging the gap between our Data Science and Infrastructure teams. You will be responsible for supporting the Data Science team in MLOps-related tasks while also helping in DevOps initiatives, including CI/CD pipeline creation, provisioning of cloud resources using tools like Terraform, and Kubernetes orchestration. You will collaborate closely with data scientists and engineers to deploy data pipelines, train machine learning models, and manage their deployment within scalable cloud environments while ensuring high performance, security, and reliability throughout the ML lifecycle. The main responsibilities of the position include: Assist in designing, implementing, and maintaining scalable MLOps pipelines on AWS using services such as SageMaker , EC2 , EKS , S3 , Lambda and other relevant AWS tools Coordinate with our platform team to troubleshoot Kubernetes clusters (EKS) to orchestrate the deployment of machine learning models and other microservices Develop and maintain CI/CD pipelines for model and application deployment, testing, and monitoring Collaborate closely with Data Science, and DevOps team to streamline the model development lifecycle, from experimentation to production deployment Implement security best practices, including network security, data encryption, and role-based access controls within the AWS infrastructure Monitor, troubleshoot, and optimize data and ML pipelines to ensure high availability and performance Set up and manage model monitoring systems for performance drift, ensuring continuous model improvement Main requirements: Bachelor’s degree in Computer Science, Engineering, or related field 2+ years of hands-on experience in MLOps, DevOps, or related fields Knowledge and preferable working experience in AWS services for machine learning, such as SageMaker , EKS , S3 , EC2 , Lambda , and others Exposure to Kubernetes for container orchestration Experience with Docker Exposure to infrastructure-as-code tools such as Terraform or CloudFormation Familiarity with CI/CD tools such as GitLab CI Understanding machine learning model lifecycle Familiarity with monitoring and logging solutions like Prometheus , Grafana , CloudWatch and ELK Stack Understanding of networking concepts and cloud security best practices Proficiency in Python and Bash , and comfortable working in Linux environments Strong problem-solving and communication skills The following will be considered an advantage: Experience working with serverless architectures and event-driven processing on AWS Familiarity with advanced Kubernetes concepts such as Helm Experience with Data Engineering pipelines, ETL processes, or big data platforms Experience with ML frameworks like TensorFlow, PyTorch and Keras Experience with ML platforms like Kubeflow and/or SageMaker Experience with workflow engines like Argo Workflows and/or Airflow Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

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: With flexible, distributed-first ways of working, you'll have the support to do your best work, wherever you are. Wrike commits to its customers that their data is monitored around the clock. Our Security Operations Center delivers on that promise through a hybrid model with a 24/7 managed detection partner (Rapid7)—and our analysts are the core drivers who handle escalations, conduct deep-dive investigations, and execute immediate action. As an L2 SOC Analyst , you will play a pivotal role in our security rotation: monitoring and triaging security alerts, responding to escalations from our MDR partner, investigating incidents end-to-end, and continuously maturing our detection capabilities to protect Wrike and our customers. Your Impact: Alert Triage & Escalation: Monitor, triage, and investigate security alerts and events, including direct escalations from our 24/7 MDR partner (Rapid7). Incident Containment & Forensics: Assess risk and impact of potential incidents, conducting end-to-end investigations (log analysis, endpoint forensics, scoping) and taking swift remediation actions. On-Call Coverage: Participate in the SOC on-call rotation to guarantee round-the-clock escalation coverage. Detection Engineering & Tuning: Continuously refine and tune detection rules to minimize false positives and identify genuine threats faster. Proactive Threat Hunting: Contribute to threat hunting initiatives across endpoints, identity providers, SaaS platforms, and cloud environments. Process Improvement: Help document, refine, and optimize SOC playbooks, runbooks, incident reports, and operational escalation workflows. Your Qualifications: Experience: 2–3+ years of hands-on experience in a SOC or security monitoring environment (alert triage, incident investigation, and response). Technical Proficiency: Hands-on experience with SIEM platforms (Rapid7 InsightIDR or similar) and EDR/antimalware tooling for endpoint investigations. Core Knowledge: Strong understanding of network security fundamentals, common threat vectors, and attack frameworks (MITRE ATT&CK). Problem-Solving & Communication: Sharp logical thinking and analytical skills paired with advanced written and verbal English communication abilities. Availability: Ability and willingness to participate in an on-call rotation, including occasional nights and weekends. Standout Qualities: Hybrid Model Experience: Prior experience collaborating directly with an MDR or MSSP partner in a hybrid SOC environment. Extended Tooling Expertise: Hands-on familiarity with tools such as Splunk, Wazuh, Microsoft Defender for Endpoint, Crowdtrike, Okta, Google Workspace, AWS, or GCP. Advanced Capabilities: Previous experience in active threat hunting, detection engineering, or task automation using Python/Bash. Industry Certifications: Relevant security certifications (e.g., Security+, CySA+, GCIH, GCDA, or vendor-specific certifications). Team Dynamics: You will join a highly collaborative, vigilant, and supportive Security Operations Center team. In this role, you will work closely with internal incident responders, cross-functional IT and infrastructure teams, and directly alongside analysts from our 24/7 MDR partner (Rapid7). The team culture values transparent communication, continuous learning, and collective ownership of security outcomes. Our Work Style: We operate in a dynamic, hybrid security model utilizing modern cloud-first security tooling. Tech Stack & Tools: Rapid7 InsightIDR, EDR/XDR platforms, Okta, Google Workspace, AWS/GCP, and custom Python/Bash automation scripts. Methodologies: Framework-driven incident response aligned with MITRE ATT&CK, structured playbooks, and continuous threat-hunting cycles. What Makes Us Different: Unlike traditional SOC environments burdened by endless repetitive alerts, our hybrid model leverages an MDR partner to offload initial noise. This allows our L2 Analysts to focus on complex investigations, high-impact threat hunting, and genuine detection engineering. Benefits & Perks: 18 calendar days of paid vacation 12 days of National & Festival holidays (10 fixed, 2 flexible) Sick Leave Compensation (5 Paid Uncertified Sick Days) Menstrual Leave: Twelve (12) days per calendar year. Women employees are eligible for up to 1 day of menstrual leave per month. Parental Leave: 26 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Group Medical Insurance (Employees + Dependents) Term Life Insurance (Rs 50,00,000) Personal Accident Insurance (Rs 50,00,000) Monthly Broadband / Internet Reimbursement (INR 1500) Hybrid Working Model + Complimentary Lunch & Snacks Your recruitment buddy will be Nandini Singh , Recruiter. #LI-NS2 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: Limassol; Athens Workplace: hybrid The Role: We are looking for a passionate and self-motivated professional to join our Customer Experience Team. The main responsibilities of the position include: Deal with clients’ inquiries via live chat, email and telephone Perform personal clientele analysis and take actions as required Handle client inquiries appropriately and ensure that high level service is provided Promote available products and services to clients Develop and maintain excellent relationships with prospective and existing clients Cooperate effectively with other departments as required Contribute to team effort by achieving targeted results Main requirements: Degree in a business-related field Client handling experience in the financial services sector is a definite plus Fluent Arabic speaker with excellent oral and written skills in English Ability to multitask and maintain a high-level of organization Outstanding communication and interpersonal skills Excellent computer literacy Valid work permit required Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You: Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Speak Your Strength – Language Proficiency Check Show Your Skills – Live Technical Session All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Dubai Workplace: onsite The Role:  We are looking for a passionate and energetic Partner Relations Manager to cultivate and maintain strong relationships with our Partners. This role involves strategising to grow and leverage partnerships that enhance the company’s product offerings and market presence. Key Responsibilities: Develop and implement Partner retention strategies as per the Company’s overall strategy to enhance loyalty and maximise lifetime value Act as the main contact for Partners, fostering strong relationships through personalised support Monitor Partners’ satisfaction, gather and utilise relevant feedback to improve experiences and tailor initiatives accordingly Analyse Partners 'behavior to uncover opportunities for upselling and customisation of products and services Stay up to date on Company’s products and marketing promotions and communicate them effectively to Partners Communicate ideas and suggestions for platform improvements to the Business Development teams Stay informed about industry trends, competitive landscape and best practices in Partner retention, continuously seeking opportunities to improve the Company’s retention efforts Undertake any other relevant task as assigned Main requirements: Degree in a business-related field Experience in a similar position will be considered an advantage Fluent Arabic speaker with excellent oral and written skills in English Ability to build and maintain excellent business relationships Strong interpersonal and communication skills Target-oriented and resourceful Ability to work autonomously and under pressure Spending significant time travelling abroad- if required Valid work permit Benefit from: Attractive remuneration package plus performance related reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.