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

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

Location: ikoyi, Nigeria About Renmoney: Renmoney is a leading Nigerian fintech company dedicated to transforming financial inclusion through innovative lending, savings, and banking solutions. Powered by cutting-edge technology and data-driven insights, we craft exceptional user experiences that empower millions of customers to achieve financial freedom. Role Overview : As a Senior Product Designer at Renmoney, you’ll spearhead the design strategy and execution for our digital financial products, including mobile apps, web platforms, and internal tools. Collaborating with Product Managers, Engineers, and key stakeholders, you’ll deliver intuitive, impactful designs that boost customer satisfaction, drive product adoption (e.g., achieving 20%+ growth in user engagement), and fuel business success. Key Responsibilities: Own the end-to-end user experience and interface design for Renmoney’s digital products and front-end channels delivering solutions that  increase user acquisition, engagement and retention Partner with Product Managers and Engineers to transform business goals into user-centric designs, consistently shipping  high-impact product features. Conduct user research, usability testing, and iterate based on insights to refine designs, targeting a 90%+ user satisfaction score. Create wireframes, interactive prototypes, and pixel-perfect visual designs using tools like Figma. Maintain and evolve our design system to ensure consistency across platforms. Advocate for design thinking and user-first principles across the organization. Mentor  junior designers, helping them grow into confident contributors. Requirements Bachelor’s degree or equivalent in Design, Human-Computer Interaction (HCI), or a related field. 5+ years of professional experience in product design or UX/UI, ideally in fintech, banking, or tech-driven industries. A robust portfolio showcasing digital/mobile design projects with measurable outcomes (e.g., improved conversion rates or user engagement). Proficiency with design tools like Figma, Adobe XD, or Sketch. Proven experience thriving in agile, cross-functional teams. Exceptional communication skills to articulate design rationale to diverse stakeholders. Skills & Competencies: Expertise in UX/UI principles, user research, and scalable design systems. Sharp eye for detail, paired with creative and analytical problem-solving. Ability to juggle user needs, business objectives, and technical feasibility with finesse. Strong leadership and mentorship skills to elevate team performance. Benefits Shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary plus performance bonuses and health benefits. Thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools. Join a diverse, inclusive team where all voices are valued, and professional growth is a priority. Our Commitment: At Renmoney, we’re building a workplace that reflects the diversity of the communities we serve. We welcome applicants of all backgrounds and are committed to fostering an equitable, inclusive environment. If you’re passionate about designing digital experiences that transform lives, apply today!

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £370,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: San Francisco, California, United States Senior Actuarial Analyst DRIVE PROFITABLE GROWTH FOR THE BUSINESS About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever. At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies. Why you should join our Actuarial Pricing team: As an Senior Actuarial Analyst on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth. You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Actuarial Director. You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep cyber and tech knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business. You will manage the overall program profitability, improve pricing accuracy, and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for leading and supporting a wide variety of pricing and underwriting related initiatives, quantifying the impacts and implications of those initiatives on the business and identifying ways to the overall economics of the business. How you’ll make an impact: By 3 months… You’ll understand At-Bay’s internal data structure and develop key relationships across the business You’ll have reviewed the existing Cyber and Tech E&O product structures, related tools, and related data sources to track and analyze product performance You’ll have completed a quarterly rate indication and presented your recommendation to key stakeholders You’ll identify areas of improvement in our systems and processes By 6 months... You’ll have developed a proposal to modify the Cyber rate plan and have evaluated the proposal will have on the business You’ll have improved the depth and efficiency of the existing rate indication process via automation and/or innovation You’ll have analyzed customer acquisition and retention data to improve At-Bay’s ability to understand the economics of the business You’ll help coach team members and key stakeholders to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business What you’ve accomplished already: You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and communicated the results to leadership You’ve worked cross-functionally with underwriting, product management, data science, claims or other analytical departments to solve complex business problems You’ve developed tools to automate existing processes and/or improve visibility into the performance of the products You’ve analyzed competitor rating plans and interpreted the results to improve your pricing and/or underwriting structures You’ve passed 4+ exams in pursuit of your ACAS, FCAS, or other equivalent designation You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R Our estimated base pay range for this role is $120,000-135,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent. #LI-DNI #LI-LM1

Location: Berlin (Germany) Join us as a (Senior) Full Stack Developer - Web (f/m/d) in Berlin Our Story We are looking for a Senior Full Stack Developer (Web Platform) to help shape and scale thinkcell’s web platform and enable multiple teams to efficiently manage and publish content. This is not a role for someone who only wants to work within a fixed web stack or maintain existing templates. We are looking for a web engineer who enjoys solving complex technical problems, making sound architectural decisions, and building systems that remain robust and maintainable as requirements evolve. You will work across frontend and backend, improve the technical foundation of our web platform, and help us build scalable solutions that enable our teams to manage and publish content. Along the way, you will collaborate closely with stakeholders across design, marketing, product and engineering but with strong ownership over technical quality, long-term maintainability, and the overall direction of the platform. What you will do Design, build, and evolve our web platform features across front-end and CMS back-end. Solve complex technical problems in a pragmatic way, balancing speed of delivery with long-term maintainability Drive architectural improvements that make our web ecosystem more robust, scalable, and easier to work with Build and improve our back-end functionality in PHP and Laravel for integrations, dynamic features, and internal tooling Extend and optimize our CMS and publishing workflows to support efficient content operations without compromising technical quality Improve performance, Core Web Vitals, accessibility, and technical SEO foundations across the platform Work on the evolution of our current web architecture, while also challenging existing approaches when better solutions exist Collaborate with design, marketing, product, and engineering teams to turn business requirements into well-structured technical solutions Interface with back-end systems written in C++, ensuring reliable and efficient data exchange across system boundaries Identify opportunities to improve developer experience, reduce complexity, and raise the overall engineering standard of the platform Take ownership of technical tasks and help define best practices for modern web development at think-cell What we are looking for Strong experience building and shipping production-grade web platforms, applications, or systems A proven ability to solve non-trivial technical problems and work confidently in complex web related codebases Strong full stack engineering skills, with solid backend experience in PHP, Laravel, or similar technologies and a frameworks Strong frontend fundamentals, including HTML, CSS, JavaScript and modern approaches to building maintainable user interfaces Good judgment when making architectural and technical trade-offs A pragmatic mindset: you know when to build for flexibility and when to keep things simple Curiosity and confidence to work with unfamiliar technologies or domains when needed A strong sense of ownership and responsibility for code quality, maintainability, and technical outcomes Experience collaborating across disciplines and communicating clearly with technical and non-technical stakeholders in English Nice to have Experience with Statamic CMS Experience with static site generation challenges Experience with Deployment Tools such as Jenkins or similar tools Familiarity with Tailwind, Alpine.js, or similar frontend tools Experience improving performance-critical, SEO-relevant, or content-heavy platforms Familiarity with Python for automation or tooling Experience integrating with non-web backend systems or services Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. think-cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: Dubai, United Arab Emirates About Müller's Solutions: Müller's Solutions is a reputable provider of SAP consulting services, with a focus on delivering expert solutions tailored to meet the unique needs of our clients. We thrive on helping organizations improve their project management and operational efficiencies through effective SAP implementations. Job Overview: We are seeking an experienced SAP EPPM (Enterprise Portfolio and Project Management) / PS (Project System) Consultant for a 3-month contract, with the possibility of extension. In this role, you will leverage your expertise to support our clients in managing their projects effectively within the SAP environment. Your main responsibilities will include configuring, implementing, and optimizing EPPM/PS functionalities to enhance project management practices. Requirements Requirements: Bachelor's degree in Computer Science, Engineering, Business Administration, or a related field. Minimum 5 years of experience working with SAP EPPM and PS modules. Strong expertise in project management tools and techniques within the SAP ecosystem. Proven experience in the implementation, configuration, and support of SAP EPPM and Project System functionalities. Good understanding of project management methodologies and best practices. Excellent analytical and problem-solving skills. Strong communication skills with the ability to collaborate effectively with cross-functional teams and stakeholders. CAPM or PMP certification is a plus. Able to work independently and as part of a team in a fast-paced environment. Willingness to travel, if required, to client sites for on-site support. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Dubai, United Arab Emirates About Müller's Solutions: Müller's Solutions is a premier SAP consulting firm that specializes in providing comprehensive SAP solutions to enhance business operations. We pride ourselves on our ability to deliver tailored solutions that drive efficiency and innovation for our clients across various industries. Job Overview: We are looking for an experienced SAP ECP (Employee Central Payroll) Consultant for a 3-month contract, with the possibility of extension. In this role, you will be key to the implementation, configuration, and support of SAP Employee Central Payroll solutions for our clients. You will engage directly with client teams to understand their requirements and help optimize their payroll processes. Requirements Requirements: Bachelor's degree in Human Resources, Business Administration, Information Technology, or a related field. Minimum of 4 years of experience working with SAP Employee Central or Employee Central Payroll modules. Strong knowledge of payroll processes, configurations, and integration with other SAP modules. Proficiency in SAP ECP functionality, including time and attendance, configuration, and reporting. Excellent analytical skills with attention to detail. Effective communication skills for interacting with clients and team members. Ability to work under pressure and meet tight deadlines. Experience with client-facing roles and project management is preferred. Immediate availability to start the contract.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp's Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion. What You'll Do - Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes - Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line - Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics - Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates - Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts - Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves - About 30% travel expected Must-Haves - Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required. - ERP system fluency — You're comfortable working within and around major ERP platforms (NetSuite, SAP S/4HANA, Workday, Sage Intacct, or similar). You understand how these systems structure financial data, where integrations typically break, and how workflow changes ripple through an ERP-centric finance stack. This fluency is what lets you speak credibly to Controllers and finance ops teams about how Ramp fits into their existing systems of record. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is. - Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group. - 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one. Nice-to-Haves - Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) - C-suite relationships built and maintained independently, without relying on a sales counterpart For candidates located in NYC or SF, the pay range for this role is $163,000 - $262,000. For candidates located in all other locations, the pay range for this role is $147,000- $236,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Cyprus Workplace: OnSite We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Currently, we are looking for an experienced Strategy / Investment Analyst to join one of Toogeza's clients - Investment fund focused on iGaming. The opening is open due to expansion, and the main focus is market research, evaluation, and project presentation. Responsibilities: - Conduct market research for existing and new projects. - Participate in operational efficiency and strategy development projects within portfolio companies. - Participate a vision, strategy, business, and operational model for new business launch. - Analyse numerous investment opportunities. - Prepare and present summaries and presentations for the internal committee and partners; lead investment reports with an investment decision based on a deep analysis of their market, product, financial performance, and team. - Communicate with companies and partners, including testing products of promising companies, conducting Q&A sessions and interviews with founders, comment startup pitch decks. Requirements: - Have a financial or STEM education. - 1-3 years of experience in a similar role (IB, PE, VC, consulting). - Deep knowledge of financial reporting (IS: revenue, main costs, and margins; BS,CF), and valuation methods (DCF, Multiples). - Financial modelling skills and experience. - Excellent presentation skills. - At least B2 level English. - Proficient user of PowerPoint and Excel. Thanks for your interest! In the case of your application, we will review it within 5 working days. If it meets the job requirements, we will arrange a call and will be happy to get to know each other better. Otherwise, we’d love to stay in touch waiting for other opportunities to become available.

Location: Erbil, Iraq Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience. At Toters, technology is at the heart of everything we do. We have product teams that are working hard everyday to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now. The Order Management Agent position in Erbil is an exciting one. The selected candidate will join the Operations Team to help Toters scale up operations and grow our customer base. We are looking for a multi-skilled candidate who is customer-service oriented and possesses excellent communication and organizational skills. The selected individual will help Toters expand and manage the day-to-day operations while delivering excellent customer experience. Responsibilities: Answer all inbound calls from customers and stores Place orders over the phone from non-partner restaurants Monitor order queue and any issues with orders and deliver necessary compensation to customers Handle daily customer care emails, support messages, and calls Meet the KPI targets for order fulfillment and service quality Follow up on assigned orders with phone calls to Restaurants, Clients, and Drivers to ensure orders are received and being processed without any issues and addresses are accurate Escalate any issues with orders, especially live orders that require administrator intervention, and use administrator capabilities in the system to re-assign orders to other Drivers if necessary Handle and report daily issues with Drivers, including attendance, discipline, compensation Channel market feedback to technology team to improve the Customer and Driver Apps Requirements: B.S. or M.S. in Communications, Public Relations, or related field, or equivalent work experience. Responsible individual who is able to wear multiple hats to get the job done, from sitting behind a desk and performing analytical tasks, to delivering exceptional service to customers and following up with stores through phone calls and email. Fast learner, dynamic and able to work well under pressure. Constant internet connectivity, with ability to manage calls and communication channels 6 days a week, especially during dinner and lunch peak. Flexible and willing to work weekends and night shifts. Night shift (4:00PM - 12:00 AM) , (7:00 PM -3:00 AM ). Ability to work longer hours during the training period. Excellent communication skills in English, Arabic, and Kurdish (Sorani). Strong organization and management skills. Tech savvy. Able to learn and use web tools.

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Senior/Software Engineer to join our Playgami team in Barcelona on a hybrid basis! At Scopely, we care deeply about what we do and want to encourage play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. What You’ll Do Design, architect, and help implement features to run world-class games at scale Take ownership for the quality of what the team creates, helping to establish good practices Deliver code and supporting documentation of the highest quality through good design, attention to detail, and system testing on a timely basis Ensure our systems perform, and are reliable, scalable, and secure Work in an agile environment where your opinions matter Team up with skilled colleagues who are committed to delivering the best products possible Share knowledge and help colleagues both inside and outside of your team What We’re Looking For Team player with good communication skills, someone who is easy to work with Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms) High-quality and maintainable code writing Mastery of Java, C#, or another OO language, including experience with asynchronous, multi-threaded, parallel programming paradigms Always looking further to keep improving your skills Product Engineering Mindset You are not senior? Go for it and apply, we are seeking talented and driven engineers at all levels, from junior on up! Bonus Points Hands-on experience with cloud computing (AWS, GCP...) You do not fear acronyms like TDD, CI, CD Experience with low-latency, high-volume distributed systems and Big Data computing technologies Web development on a modern framework such as React or Angular At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Padsari, Nepal; Siddharthanagar, Nepal; Ghorahi, Nepal; Itahari, Nepal CXG is a global customer experience agency servicing premium and luxury brands. It helps brands reach profitable growth by turning transactional moments into relationships and emotional experiences. With a network of 170+ customer experience experts across 70 countries, we help brands evaluate the experiences they deliver, and work with them to develop programs that support a strong experience and business culture. Description Are you a premium or luxury brand shopper or fan? If the answer is yes, then we are looking for you? We are looking for shoppers who are keen on sharing their opinion about their experience in an assigned luxury store. As a CXG Evaluator, you will conduct discreet evaluations of your favorite luxury brands in markets such as cosmetics, fashion, jewelry, watches or cars and give us your feedback. Apply now and join us to experience luxury retail and advocate for service excellence! Requirements Keen to detail Passion for luxury retail and customer experience Punctual & organized

Location: Butwal, Nepal; Bharatpur, Nepal; Janakpur, Nepal; Birgunj, Nepal; Banepa, Nepal CXG is a global customer experience agency servicing premium and luxury brands. It helps brands reach profitable growth by turning transactional moments into relationships and emotional experiences. With a network of 170+ customer experience experts across 70 countries, we help brands evaluate the experiences they deliver, and work with them to develop programs that support a strong experience and business culture. Description Are you a premium or luxury brand shopper or fan? If the answer is yes, then we are looking for you? We are looking for shoppers who are keen on sharing their opinion about their experience in an assigned luxury store. As a CXG Evaluator, you will conduct discreet evaluations of your favorite luxury brands in markets such as cosmetics, fashion, jewelry, watches or cars and give us your feedback. Apply now and join us to experience luxury retail and advocate for service excellence! Requirements Keen to detail Passion for luxury retail and customer experience Punctual & organized

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects