Вакансии

Location: Braga, Portugal; Porto, Portugal Workplace: fully David Kennedy Recruitment is working with a leading Outsourcing/BPO consultancy who is seeking to onboard a Danish speaking Customer Service Representative to join their team in Braga. Position: Customer Service Representative Location: Braga, Portugal Work model: Remote Employment type: fixed term (6 months) with possibility of extension / permanent contract DUTIES AND RESPONSIBILITIES: Handle inquiries and requests across various communication channels, ensuring accurate and timely updates in internal systems Foster positive relationships by delivering prompt and courteous support Support customer satisfaction and long-term engagement by ensuring effective resolution of issues Maintain a professional and empathetic approach in all customer interactions Work collaboratively with colleagues and leadership to achieve team objectives Share insights on recurring challenges and suggest opportunities for process or service improvements. REQUIREMENTS: Native / fluent in Danish both verbal and written. Fluent in English (minimum B2 level) Previous experience in customer service would be advantagous Strong verbal and written communication skills across various platforms (phone, email, chat, social media) Basic understanding of customer service principles and the ability to follow standard procedures Ability to handle technical inquiries and troubleshoot common issues with guidance Ability to quickly learn new softwares and technologies Effective problem-solving skills and the ability to work collaboratively in a team-oriented environment Organized, detail-oriented, and able to manage multiple tasks simultaneously Willingness to learn and adapt in a fast-paced or evolving support environment. OFFER: Opportunity to work with a leading global travel & tourism brand Competitive salary with performance-based incentives Professional growth opportunities within the BPO industry Collaborative and supportive work environment Access to exclusive travel perks and discounts And many more!

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. 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: Riyadh, Saudi Arabia Müller's Solutions is currently seeking a Testing Freelancer to join our talented team on a flexible basis. In this role, you will leverage your expertise in software testing to ensure our applications meet the highest quality standards. This is an exciting opportunity for self-motivated professionals who thrive in dynamic environments and enjoy working with cutting-edge technologies. Key Responsibilities: Analyze and understand project specifications, including requirements for web portal functionality within the government social services domain. Design, develop, and execute comprehensive test cases covering technical systems, integration, functional testing, and UAT. Perform data migration testing to ensure accuracy and integrity during the transfer of legacy data into new systems. Conduct API connectivity testing to validate effective integration of government APIs, ensuring compliance with standards. Collaborate with development teams to identify and troubleshoot issues relate to systems integration. Collaborate with vendor teams for defect tracking and fixing to ensure timely resolution of issues. Collaborate with the government client quality assurance team to align testing processes and standards. Ensure thorough testing of all features, including authentication mechanisms user workflows, and service functionalities for the web. Document test results and provide detailed reports, identifying root causes and proposing actionable solutions for bugs or deficiencies. Work closely with stakeholders during UAT to verify that the application meets business requirements and user expectations. Ensure testing aligns with government IT standards and protocols and addresses potential data security concerns. Requirements Requirements: Professional Experience: At least 5 years of technical systems, integration, functional, and UAT testing, preferably in Middle Eastern markets. Domain Expertise: Demonstrated experience in government IT systems, social services applications, and government API integrations. Technical Skills: Proficiency in API testing tools, data migration validation techniques, and test management software. Test Case Creation: Expertise in developing detailed and effective test cases for complex systems, including test planning, preparing relevant data sets, liaising with development teams for correct setup and managing the test environment. Execution: Proven ability to execute test cases methodically and efficiently, ensuring high-quality results. Regional Experience: Strong understanding of Middle Eastern government workflows and cultural nuances. Language Skills: Arabic-speaking candidates will be considered a plus. Preferred Qualifications: Experience working with Middle Eastern government agencies or large-scale public-sector projects. Knowledge of security best practices and compliance standards for government IT systems. Certification in testing tools or methodologies, such as ISTQB.

Location: Riyadh, Saudi Arabia Müller's Solutions is currently seeking a Testing Freelancer to join our talented team on a flexible basis. In this role, you will leverage your expertise in software testing to ensure our applications meet the highest quality standards. This is an exciting opportunity for self-motivated professionals who thrive in dynamic environments and enjoy working with cutting-edge technologies. Key Responsibilities: Analyze and understand project specifications, including requirements for web portal functionality within the government social services domain. Design, develop, and execute comprehensive test cases covering technical systems, integration, functional testing, and UAT. Perform data migration testing to ensure accuracy and integrity during the transfer of legacy data into new systems. Conduct API connectivity testing to validate effective integration of government APIs, ensuring compliance with standards. Collaborate with development teams to identify and troubleshoot issues relate to systems integration. Collaborate with vendor teams for defect tracking and fixing to ensure timely resolution of issues. Collaborate with the government client quality assurance team to align testing processes and standards. Ensure thorough testing of all features, including authentication mechanisms user workflows, and service functionalities for the web. Document test results and provide detailed reports, identifying root causes and proposing actionable solutions for bugs or deficiencies. Work closely with stakeholders during UAT to verify that the application meets business requirements and user expectations. Ensure testing aligns with government IT standards and protocols and addresses potential data security concerns. Requirements Requirements: Professional Experience: At least 5 years of technical systems, integration, functional, and UAT testing, preferably in Middle Eastern markets. Domain Expertise: Demonstrated experience in government IT systems, social services applications, and government API integrations. Technical Skills: Proficiency in API testing tools, data migration validation techniques, and test management software. Test Case Creation: Expertise in developing detailed and effective test cases for complex systems, including test planning, preparing relevant data sets, liaising with development teams for correct setup and managing the test environment. Execution: Proven ability to execute test cases methodically and efficiently, ensuring high-quality results. Regional Experience: Strong understanding of Middle Eastern government workflows and cultural nuances. Language Skills: Arabic-speaking candidates will be considered a plus. Preferred Qualifications: Experience working with Middle Eastern government agencies or large-scale public-sector projects. Knowledge of security best practices and compliance standards for government IT systems. Certification in testing tools or methodologies, such as ISTQB.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You’ll join a high-performing, strategic sales team focused on moving Honeycomb further into the enterprise space. We’ve proven product-market fit, closed Fortune 500 logos, and built a pipeline that’s primed for the kind of enterprise sellers who know how to multi-thread, influence the C-suite, and navigate $500K–$1M+ ACV opportunities. This is not a role for a former mid-market rep trying to stretch—it’s built for enterprise closers who know the game and want to win it. What you’ll do in the role: Own and drive complex, 6–12+ month sales cycles with Fortune 1000 and Global 2000 companies Build strategic, multi-threaded relationships across engineering, DevOps, observability, and procurement leadership Sell consultatively, bringing deep understanding of the customer’s business, technical landscape, and buying process Collaborate cross-functionally with Solutions Architects, Product, and Customer Success to shape high-value, tailored deals Deliver predictable pipeline growth, accurate forecasting, and exceed quota targets Represent Honeycomb at key industry events, conferences, and executive briefings What you’ll bring to the role: 5+ years of full-cycle enterprise SaaS selling experience, ideally in DevOps, observability, or cloud infrastructure Proven ability to land $500K+ multi-year deals with complex buying committees Strong executive presence with the ability to influence C-level stakeholders across technical and non-technical roles Deep discovery, storytelling, and consultative selling expertise A track record of building champions and navigating enterprise buying cycles with precision Grit, ambition, and a bias for execution—someone who thrives in fast-paced, high-ownership environments Experience leveraging MEDDPICC, Command of the Message, or similar enterprise sales frameworks On Target Earnings (OTE) based on level of experience (Base + Commission) $275,000 — $300,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Braga, Portugal; Coimbra, Portugal; Faro, Portugal; Porto, Portugal; Lisbon, Portugal Workplace: fully Hey there! David Kennedy Recruitment is on the lookout for an amazing French speaking Freelance Recruiter to join our team. If you're a true hunter and love connecting talented individuals with our clients needs we want to hear from you! This freelance role offers a commission-based structure, meaning your earnings will be directly tied to your successful candidate placements. Position: Freelance Recruiter Location: anywhere in Portugal Employment type: Freelance - able to invoice Remuneration: Commission per placed candidates. RESPONSIBILITIES: Dive into various channels of your choice like job boards, social media, and networking to find and attract top-notch candidates Conduct interviews, assess qualifications, and determine the perfect fit for specific job roles Work closely with our Service Delivery Manager and Managing Director to make the recruitment processes run smoothly for our candidates Keep a steady pipeline of talented candidates for future opportunities and build lasting relationships with them Coordinate interviews between candidates and hiring managers like a pro Keep candidate profiles in our ATS well-described and updated for future reference REQUIREMENTS: Native or fluent in French (C1 level), with strong proficiency in both written and spoken communication, as well as English fluency (B2) Ideally with some previous experience in sourcing Stellar communication and people skills Ability to juggle multiple recruitment projects and work independently Great time management, responsiveness and organizational abilities Knowledge of recruitment best practices and sourcing techniques is nice to have Familiarity with applicant tracking systems (ATS) and recruitment software is a bonus. BENEFITS: Enjoy a competitive always-on-time commission-based compensation structure Embrace the freedom and flexibility of fully remote work from anywhere in the world and managing your own schedule Dive into various industries and work with diverse, mainly white-collar clients Join a collaborative and supportive team environment Enjoy the smoothness, fairness and clarity of collaboration with David Kennedy Recruitment

Location: Limassol, Cyprus Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Join Our Team and Make an Impact in the World of Digital Advertising We're growing our Limassol team and looking for a hands-on Campaign Manager / User Acquisition Manager to own and optimize advertising campaigns across some of the world's most impactful platforms, TikTok, Meta, X, Snapchat, Microsoft Ads, Google Ads, and more. You'll manage a portfolio of clients end-to-end, from strategy through execution to reporting, and be the go-to expert your clients rely on for results. This is a true multiplatform role, no single-platform silos, working with an international client portfolio with strong ties to Eastern Europe and the CIS region, so fluent Russian is essential alongside English. What You'll Do: Launch, monitor, and personally run advertising campaigns across multiple digital platforms, this is a hands-on role, not an oversight or agency-management position. Own a portfolio of clients on average, working either in a fully-managed capacity (strategy, execution, reporting) or as a strategic consultant depending on the account. Manage relationships with high-value clients, offering strategic recommendations to maximize performance. Build advanced audience segmentation using 1st- and 3rd-party data and implement top-tier retargeting strategies. Prepare detailed performance reports and actionable insights for campaign wrap-ups and client billing. Collaborate with internal creative, analytics, and client success teams to deliver seamless service. Contribute to strategy for new ad formats, emerging media, and innovative campaign tactics. Serve as an in-house expert on ad platforms, proactively identifying opportunities for optimization and growth. What you need for this role: 2-3+ years of hands-on experience actually running and optimizing campaigns yourself, in your own ads accounts, not just briefing or overseeing an agency. Backgrounds as a User Acquisition Manager, Performance Marketing Manager, or Ad Operations Specialist (in-house or agency-side) are all a great fit. Working knowledge of platforms such as Google Ads, Meta, TikTok, Snapchat, X, Microsoft Ads, or Yandex. Solid understanding of performance marketing, analytics, and social media dynamics. Experience with pixel setup, mobile tracking, and app marketing analytics. Strong analytical and problem-solving skills with a detail-oriented, proactive approach. Fluent English and Russian (written and verbal). Comfortable working from our Limassol office full-time (this role is on-site only). What will make us really love you: You bring energy, positivity, and a team-first mindset. You're curious, coachable, and eager to continuously learn and grow. You communicate confidently with clients and colleagues alike. You consistently deliver high performance and exceed expectations. What you'll love about us: Global Impact: Work with world-renowned brands and fast-growing businesses across international markets. Collaborative Culture: Join a team that celebrates knowledge sharing, creativity, and open feedback. Growth Opportunities: Take ownership, expand your skillset, and accelerate your career. Innovation-Driven: Be part of a company that embraces change and bold ideas. Compensation: Competitive salary and benefits package, including quarterly performance bonuses. Supportive Team Vibe: Work alongside talented, passionate colleagues who genuinely want to see each other succeed. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 32,000. In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.     #ALEPH Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

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. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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: 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. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. 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. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. 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: $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: Home based - EMEA 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’re looking for a Technical Product Marketing Manager who combines deep technical understanding with strategic marketing expertise to develop go-to-market plans for our global security and compliance portfolio. This is a hands-on, multidisciplinary, and dynamic position that requires working closely with product managers, engineering teams, and security experts to truly understand the technical capabilities of our offerings,  and translate them into compelling positioning and content. You’ll also collaborate with the content team, sales, and other marketing functions to drive awareness, adoption, and growth. The ideal candidate is a technologist at heart, someone who thrives on understanding how products work under the hood and is excited to communicate their value clearly to both technical and non-technical audiences. You’re motivated by ownership, driven by curiosity, and comfortable operating at the intersection of product and marketing. You love to get hands-on, solve problems, experiment, and build scalable marketing systems. This role sits within the product marketing team and reports to the Product Marketing Lead Location: This role will be based remotely in the EMEA region. What your day will look like Lead the go-to-market strategy and execution for Canonical’s range of security and compliance products, including messaging and positioning Track the competitive landscape and emerging trends to define product differentiation and value drivers Collaborate with engineering and product teams to understand product roadmaps, and customer use cases Translate technical product capabilities into clear, differentiated messaging for key personas, including Executives, DevSecOps, and platform teams Own campaign and content planning for the security portfolio Use data and insights to iterate on demand generation strategies and optimize conversion throughout the funnel Work with other teams to plan events, webinars and support messaging for paid and social media promotion What we are looking for in you A passion for technology and open source—you get excited about innovation, software, and community-driven development. Strong storytelling skills—you know how to craft messaging that resonates with both technical and business audiences. Growth mindset—someone who thrives on experimentation, learning, and continuous improvement. Excellent communication skills, both written and verbal. Nice-to-have skills Technical understanding of the Cybersecurity world Data-driven mindset, using insights to refine strategies and improve performance. Experience in product marketing for enterprise software, cloud, DevOps, or open-source solutions. Experience with demand generation, understanding how to translate GTM strategies into pipeline growth. Comfort working cross-functionally with product, sales, partners, and marketing teams. 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 or commission. 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 Team Member Assistance Program & 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

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

Location: Limassol, Cyprus Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. Are you a passionate, results-driven media salesperson with a flair for digital marketing? Do you thrive in a fast-paced, international environment where innovation, collaboration, and outstanding performance are celebrated?   We’re looking for a Senior Client Partner to join our team in Cyprus and play a key role in consulting top advertisers and agencies on how to achieve their marketing goals using cutting-edge digital advertising solutions. What You’ll Do: Drive sales of digital advertising solutions to both new and existing clients. Prospect, source, and close deals with brands and media agencies. Consult clients on campaign planning, digital media strategies, and performance optimization. Understand clients’ marketing objectives and recommend solutions to achieve measurable results. Deliver against sales targets while ensuring an exceptional client experience. Partner with account managers for smooth campaign launches and ongoing client support. Conduct market research, track competitor activities, and attend industry events to generate new business opportunities. Accurately forecast sales performance and revenue on a weekly, monthly, and annual basis. Resolve client issues efficiently, tactfully, and proactively to ensure long-term satisfaction. What you need for this role: Bachelor’s degree or higher in Business, Economics, Social Sciences, or similar. 5+ years of sales experience managing large strategic accounts. Strong understanding of online advertising, analytics, and social media platforms. Proven track record of driving revenue and building long-term client relationships. Comfortable navigating complex client and agency dynamics. Exceptional project management skills and ability to handle multiple priorities. Excellent communication skills in Russian and English , both internally and externally. Positive, proactive, and motivated to exceed targets consistently. What will make us really love you: You’re genuinely excited about digital marketing and sales, and it shows in everything you do. You take ownership of your work, solve problems creatively, and never settle for “good enough.” You bring positive energy to your team and inspire those around you to perform at their best. You’re proactive, adaptable, and thrive in a fast-paced, evolving environment. You combine commercial drive with excellent relationship-building skills—clients and colleagues love working with you. What you'll love about us: Be part of a supportive, international team that celebrates creativity, ambition, and results. Shape campaigns for some of the most innovative and iconic brands in the market. Enjoy continuous learning and professional growth in the fast-moving digital advertising space. Work in a dynamic environment where your ideas, insights, and performance are recognized and rewarded. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. For this role, the minimum gross annual base salary is EUR 32,480 In addition to base salary, this role includes a significant performance-based variable component, paid quarterly. The final offer will reflect your experience, skills, and the scope of the role.     #ALEPH Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: London, Remote Workplace: remote 360Learning is looking for a Business Development Representative (BDR) to join our UK team. Your role will consist of generating opportunities from 360Learning top priority, highest potential accounts. As the owner of these accounts, you will be in charge of creating business opportunities for UK Account Executives through inbound leads qualification. You will leverage bleeding-edge Sales Development Techniques & tools to engage prospects.    This position will play a key role in building a strong sales pipeline. More specifically, you will be in charge of your territory to qualify inbound leads and pitch our product to interested prospects. Throughout your conversations, you will detect customer pain points, understand their context, and how we can help. You will evangelize collaborative learning in the market, and present the 360Learning value proposition.   Working in close collaboration with your coach, marketing operations, demand gen, and sales, you will benefit from thorough onboarding and continuous learning & coaching opportunities as you grow. Within 1 month, you will… Finish onboarding and begin your core role as a BDR Master the pitch and qualification methodology Start qualifying leads and create your first opportunities for the AEs Within 3 months, you will... Fully master our tool stack and ramp up Act as a partner to the Account Executives Qualify your first SQL opportunities Master how to prioritize your inbound leads pipeline and forecast your performance Polish your qualification method to an advanced level Master our tool stack SalesLoft, LinkedIn’s Sales Navigator, Gong, etc. Within 6 months, you will… Be fully ramped on inbound methodologies Achieve and exceed monthly quotas Sales Qualified Leads Partner with Marketing to improve lead quality and get creative by bringing innovative lead generation ideas to weekly meetings Research trends and best practices for creating interest and engagement Within 12 months, you will: Contribute as a subject-matter expert on the 360Learning platform and share your knowledge with the rest of the organization Be involved in the onboarding of new members of the team The Skill Set Previous experience of at least 12 months hitting targets as a BDR or SDR in a B2B SaaS environment Previous experience in inbound lead generation and/or outbound Preferred but not mandatory: experience using Salesforce, Salesloft, and Gong Strong written and verbal communication skills Active listening skills, ability to uncover customer needs and adaptability (fast-paced environment) You are fluent in English (level B2 or equivalent) You show enthusiasm for our culture explained here: http://bit.ly/Convexity_360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Health Benefits - Medical, Vision, Dental, Life, Accidental Death & Personal Loss, and Disability coverage, Employee Care Line. Balance: Flexible hours, Total work from home possible anywhere in the UK 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity_360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Business Development Case Study with our Head of Business Development & VP of Enterprise Sales Clarification Meeting with our Account Executive/Key Account Manager team Culture Fit Meeting with our CRO Offer! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Bryanston, South Africa Workplace: on-site TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset. We are looking for a Senior Marketing Manager for our client and t he Senior Marketing Manager will lead the development and execution of comprehensive Direct to Consumer (D2C) and B2B marketing strategies that drive brand awareness, customer engagement, and revenue growth. This role involves orchestrating cross-functional marketing initiatives, ensuring consistency across all channels, and optimizing the customer journey. The ideal candidate will possess a blend of strategic thinking, creativity, and analytical skills to drive impactful marketing campaigns. Responsibilities: Develop and execute D2C and B2B marketing strategies focused on lead generation, customer acquisition, and revenue growth. Plan and manage a campaign calendar, ensuring the timely development, execution, and optimization of marketing campaigns across digital (PPC, SEO, email, social, programmatic) and traditional media (radio, TV, print, OOH). Lead a team of performance marketing managers across B2B, B2C, loyalty programs, and app marketing, ensuring data-driven execution and continuous optimization. Develop and execute go-to-market strategies for new product, service, and app launches, coordinating cross-functional teams for successful rollout. Oversee loyalty and rewards programs to drive customer retention and lifetime value. Manage and optimize app marketing strategies, including user acquisition, engagement, retention, and ASO (App Store Optimization). Work closely with agencies and strategic partners, including media buyers, creative teams, and distribution partners, to execute high-impact campaigns. Optimize media buying strategies, ensuring cost-effective budget allocation across high-performing digital and offline channels. Collaborate with in-house teams (copywriters, designers, UX specialists) to create high-converting marketing assets for ads, landing pages, CRM campaigns, and in-app experiences. Drive data-driven decision-making, leveraging analytics, A/B testing, and audience segmentation to improve engagement and conversion rates. Enhance website and app performance, improving UX, conversion funnels, and customer journey efficiency. Implement and scale growth strategies, including retargeting, CRM automation, push notifications, and mobile app marketing. Align marketing efforts with sales, product, and customer service teams to ensure integrated demand generation and lead nurturing. Manage and optimize marketing budgets, tracking performance to maximize cost efficiency and business impact. Qualifications and Experience: Bachelor’s degree in Marketing, Business, or related field; MBA preferred. 7+ years in performance marketing, lead generation, and demand generation for D2C and B2B. Expertise in digital and traditional media marketing, including paid search, social, SEO, email, programmatic, TV, radio, print, and OOH. Experience leading marketing teams, including performance marketers, media buyers, designers, copywriters, UX specialists, and app marketers. Proven success in loyalty and rewards program development and execution. Strong agency and partner management experience, collaborating with media and distribution partners. Experience in campaign calendar planning and execution, ensuring seamless rollout of ongoing campaigns and new product/service/app launches. Expertise in app marketing strategies, including user acquisition, retention, ASO, and in-app engagement. Proficiency in Google Ads, Meta Ads, LinkedIn Ads, App Store Ads, CRM platforms (HubSpot, Salesforce, Marketo), and analytics tools (GA4, Tableau, BI tools, Firebase). Strong data analytics skills, with experience in A/B testing, attribution modeling, and budget optimization. Hands-on experience in web and app UX/UI optimization for conversion improvements. Strategic, adaptable, and results-driven, with a track record of maximizing ROI and business growth

Location: Beijing, China Workplace: onsite ABOUT YOU We are seeking an experienced and dynamic Creator Success Manager (China) to lead and expand our influencer marketing strategy in the region. This role is responsible for identifying, building, and maintaining relationships with key influencers, content creators, and brand ambassadors across multiple content platforms. The ideal candidate will have a strong understanding of the China digital landscape, social media trends, and influencer partnerships, as well as a proven track record of executing successful influencer campaigns.  ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Establish and manage a network of top-tier content creators and social media influencers. Develop and manage relationships with creators and influencers to ensure long-term partnerships. Negotiate and manage contracts, fees, and expectations with creators and influencers. Collaborate with marketing, product, and PR teams to develop and execute campaigns that drive engagement and brand awareness. Liaise with internal Business Development, Legal, Design, Product, and Account Management teams on creator and influencer partnership strategies and opportunities. Keep up-to-date with the latest trends on social media and in the influencer community to provide ongoing recommendations for future campaigns. Work with brand marketing on consumer-facing influencer collateral and develop action plans to address the needs of our influencer networks. Define performance goals, create rosters, track conversions, and measure influencer performance success. Responsible for ongoing communication with existing influencer partners while actively identifying, sourcing, and negotiating new influencer partnerships and content opportunities. Monitor and adjust partnership strategies in accordance with best practices and relevant trends. Develop and execute the influencer marketing strategy in China to drive brand awareness, engagement, conversions, and creator user acquisition Track, analyze, and report key performance metrics (KPIs) for influencer campaigns, providing insights and recommendations for optimization. Stay up to date on influencer marketing trends, competitor activities, and regional nuances in content consumption and engagement. Manage the influencer marketing budget for China, ensuring efficient allocation of resources. Qualifications & Skills 5+ years of experience in an influencer marketing role with extensive experience working directly with influencers and streamers. Passion for gaming and experience identifying partnerships and best practices for gaming influencers at a global level across streaming and content platforms. Direct experience with gaming publishers, products, and expertise in mobile and video game established and rising influencers. Strong knowledge of gamers and influencers across Twitch, YouTube, Facebook, Instagram, Twitter, and TikTok . Strong interpersonal skills with the ability to build relationships and work effectively with a diverse range of people. Excellent communication, writing, presentation, and organizational skills. Ability to manage multiple projects simultaneously and prioritize demands. Data-driven with experience setting clear goals and KPIs. Experience working with and/or managing influencer marketing agencies from the RFP process through execution and wrap report. Fluent in Chinese and English Ability to work in a fast-paced environment, manage multiple projects, and meet tight deadlines. Bachelor's Degree. Preferred Qualifications: Previous experience in e-commerce, gaming, or technology sectors. Understanding of paid influencer collaborations and how to integrate them into organic strategies. Experience with affiliate marketing, influencer gifting programs, and community-driven content Why Join Us? ● Opportunity to work with a fast-growing global brand. ● Competitive salary and performance-based incentives. ● Flexible work environment (remote, hybrid, or in-office options). ● Collaborative and innovative team culture. ● Career growth opportunities in a dynamic and expanding market. If you’re passionate about influencer marketing and gaming, and want to make an impact in the China region, we’d love to hear from you! Apply now and be part of our journey. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Barcelona 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance + benefits Hybrid model: 3 days a week in the office About our Mobile Engineering discipline Our mobile engineers have a variety of different backgrounds There are ~60 Android engineers at Monzo and we’re looking for more to join the team. We have several non-graduates; only some of us studied Computer Science; some of us have worked in huge companies; some have only ever worked in startups; others are former consultants. As long as you enjoy learning new things, we’d love to talk to you. Monzo works in small, interdisciplinary teams We have around 650 engineers out of roughly 5,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication. 🔑 You’ll play a key role by... We’re searching for product-focused Android engineers to evolve our native mobile app. You’ll take pride in building polished user experiences, and you’ll balance the need for well-tested resilient code with moving fast and iterating. You’ll be working on a product that is a part of day to day life for more than 11 million people already, and your work here will shape the way that people interact with their finances. As an Android Engineer at Monzo you'll work in a small, autonomous product squad alongside iOS Engineers, Backend Engineers, User Researchers, Product Designers, Product Managers, QA Testers, and Data Scientists. You and your team will be responsible for an overall company goal, rather than building a specific feature - you'll have the opportunity to have impact on both what we build, and how we build it. Mobile engineers at Monzo work on everything from the personal banking product to customer support tools. We also have a small mobile platform squad dedicated to enabling other engineers to move faster. Every week we meet as an Android discipline to discuss tools, techniques, problems we're encountering across the company and work together to improve our codebase and processes. You'll report to an engineering manager who will meet with you every 1-2 weeks 1:1. They’re dedicated to helping you grow and develop as an engineer. Our Android app Our app is 100% Kotlin, built using MVVM (Model View ViewModel) and Coordinators, and modularised by product feature. We use RxJava, Retrofit and Moshi for API calls and Dagger for dependency injection. We’re starting to use Coroutines for most new features. Room is our choice for persistence, and we use repositories for interacting with data. We’ve built out our design system with Compose. We use GitHub Pull Requests to do code reviews, and write unit tests for our ViewModels, Coordinators, and any other classes which contain logic. We write tests for all of our Compose screens and snapshot test them with Happo. We also use Espresso to test flows, which are executed via our continuous integration system. We’ve previously written about building Monzo Chat on Android, which goes into detail on some of these elements. 🤩 We’d love to hear from you if… You care about the impact your work has on our customers, and optimise for outcomes rather than the number of lines of code you output You’re excited about and have experience in programming in Kotlin You’ve shipped and iterated on at least one app in the Play Store You have a product mindset: you care about customer outcomes and you want to make data-informed decisions You love turning excellent design into beautiful products You’re comfortable working in a team that deals with ambiguity You have an understanding computer science principles 🙌 What’s in it for you: 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance + benefits 📍Barcelona, ESP ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of €1,200 a year for books, training courses and conferences 🌈 The application journey has 3 key steps Our interview process involves three main stages: Initial Call Take home task or pair coding exercise Final interview including a system design and a behavioural interview This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. There’s a detailed blog on the interview process , for extra details, hints and tips. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated. LI-JS1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊