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Location: Berlin, Germany Who are we? We’re AVOMIND , a recruitment firm specializing in connecting high-achieving individuals with hyper-growth companies. What makes us stand out? We’re not just about filling roles—we match top talent with top opportunities. Our team is diverse and international, speaking more than 20 languages and operating in DACH, EMEA, the US, and APAC. Our core vision is simple: ✔️ Empower candidates by connecting them with the best career opportunities. ✔️ Support our clients by delivering high-quality talent—every time. Now, we’re looking for a Talent Acquisition Erasmus+ Intern (Start Date: July 2026 onwards) to join us in Berlin. If you’re passionate, committed, and eager to be at the center of recruitment, this is for you! What will you be doing? Supporting both outbound & inbound recruitment strategies alongside management. Conducting direct candidate sourcing via LinkedIn, Xing, GitHub, and Google X-Ray. Screening candidates to assess their fit for various roles. Managing interview scheduling and logistics with Project & Client Managers. Advising on candidate trends and market insights to optimize recruitment strategies. Taking ownership of the candidate experience, ensuring a seamless hiring process. Supporting HR and culture activities. Learning from an experienced team and contributing to Avomind’s growth. Sounds good? We’d LOVE to hear from you if: You are eligible for the Erasmus+ Internship Grant (applications from non-eligible candidates will not be considered). You’re currently studying or about to graduate and looking for an exciting internship. You have strong communication skills and an open-minded personality. You thrive in goal-oriented environments and love achieving results. You enjoy building relationships and expanding your professional network. You’re fluent in English (additional languages are a plus). Previous experience in recruitment, people-focused roles, or project coordination is a bonus. What’s in it for you? ✅ Flexible working hours & hybrid setup – we get it, balance is key. ✅ International team – work with diverse, driven colleagues from around the world. ✅ Learn from the top – we have flat hierarchies, so you’ll gain direct insights from industry leaders. ✅ A great office in Berlin – surrounded by amazing lunch spots (seriously, we’ve got recommendations). How to apply? 📩 Send your CV here & include: A confirmation that you are eligible for the Erasmus+ Internship Grant . A few bullet points on why you’re interested in this internship (no need for a long motivation letter, just clear and specific reasons). Your availability for 2026 and preferred internship timeline (maximum 3 months). Please note that we are now accepting applications for the OCTOBER 2026 onwards starting date . Remember, that this initial step of the application is a chance to show that you carefully read through all the details above 😉

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: Mexico City, Mexico; Santiago, Chile; Panama; São Paulo, Brazil; Montevideo, Uruguay; Bogota, Colombia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Business Analyst (Pre-Sales & Delivery) to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. We are seeking a highly experienced and skilled Business Analyst to lead our pre-sales efforts and play a crucial role in project delivery. This role focuses on managing the pre-sales cycle, including requirements analysis, solution design, proposal development, client negotiations, and successful deal closure. Post-sale, the Business Analyst will act as the Single Point of Contact (SPOC) between the client and project team, ensuring smooth execution, client training, and project success. The ideal candidate will have at least 7 years of experience as a Developer Lead, Business Analyst, Project Coordinator, or Project Manager , with at least 3 years in the U.S. market . A strong understanding of the Software Development Lifecycle (SDLC) , especially in custom application development on cloud platforms , is essential. Expertise in AI, ML, and Blockchain technologies is highly valued. Strong leadership in pre-sales and project delivery, coupled with an agile mindset and excellent communication skills, is key to success in this role. Key Responsibilities: Pre-Sales Activities: Requirements Analysis: Engage with clients to understand business needs, technical challenges, and strategic objectives. Documentation: Develop Business Requirements Specifications (BRS), System Requirements Specifications (SRS), UML diagrams, and solution architecture documents. Solution Design: Collaborate with sales and technical teams to craft tailored solutions using cloud technologies, AI, ML, and Blockchain. Solution Presentation & Demonstration: Lead presentations and demonstrations of proposed solutions, showcasing business and technical value. Proposal Development: Create detailed proposals outlining scope, timelines, deliverables, and pricing. Client Negotiations: Oversee negotiations regarding project scope, pricing, timelines, and deliverables. Sales Target Achievement: Partner with the sales team to meet and exceed pre-sales targets. Post-Sale Activities: Project Handover: Act as SPOC between the client and project team for seamless transition and alignment on deliverables. Project Planning & Documentation: Work with project managers to develop plans, assist in SRS creation, and review project-related documentation. Upselling & Cross-Selling: Identify opportunities for additional services during project execution. Objection Handling: Address client concerns promptly to ensure satisfaction. Phase & Milestone Delivery: Monitor project progress, ensuring timely and successful completion. Client Training: Conduct training sessions to ensure effective solution adoption. Experience: Minimum 7 years in a Developer Lead, Business Analyst, Project Coordinator, or Project Manager role, with 3+ years in the U.S. market . Technical Expertise: Hands-on experience in custom application development, particularly on AWS and Google Cloud . Proficiency in technologies such as Node.js, Python, React.js, Next.js, React Native, Flutter, MySQL, PostgreSQL, MariaDB, DynamoDB, Serverless Architecture, and Microservices . Government Regulations Knowledge: Strong understanding of U.S. Government and State regulations in areas like financial compliance, AML, KYC, digital identity verification, investor verification, payment processing (ACH, Credit Card), cryptocurrency regulations, taxation laws, healthcare, fintech, and privacy laws . SDLC Knowledge: Expertise in Agile methodologies and project management principles. Documentation Skills: Ability to create and manage BRS, SRS, UML diagrams, and solution architecture documentation. Pre-Sales Leadership: Proven success in leading pre-sales efforts and closing deals. Communication & Relationship Building: Strong verbal and written communication skills. Project Management Skills: Experience in Agile environments, ensuring successful project delivery. Preferred: PMP certification or similar project management credentials.

Location: Remote We are looking for a Trading Operations Manager to take care of the Trading Operations Team, which is a crucial component in ensuring a reliable, risk-averse, and robust trading process. It holds critical responsibility for anomaly detection, promptly identifying irregularities and instituting all necessary procedures to maintain trading integrity. By enhancing information accuracy and effectiveness, they continually streamline internal processes, bolstering the productivity and efficiency of many other teams. What You’ll Be Doing: Capacity planning Performance management Your stakeholders and your team happiness at the same time You are going to lead the Trading Operations Team responsible for: Designing, updating and reliable execution of: Pre- and post- session checks and action points Intrasession invariants controls Escalation procedures Continuous improvement of: Quality of anomalies detection Reaction and resolution SLAs Tooling and communication efficiency What We Look For In You: Experience in similar positions Willingness to combine hands-on and management tasks Great Attention to details Efficient communication in all flavours of English Why Should You Join Our Team? Great challenges with many opportunities to prove yourself A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: Nicosia, Cyprus About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Calling all team-players - are you looking for a flexible role that could shape the future of retail? If so, then let’s talk! The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. Our first Wolt Market store in Cyprus was opened in 2022 and our 7th store was launched in June 2024. We are currently looking for part-time and full-time Retail Grocery Assistants (or Grocery Associates, as we call them) to join our awesome teams in  Nicosia! What you’ll be doing Taking in orders through our Merchant app Picking and packing groceries, and handing them to customers and courier partners Unloading food and supplies that we receive from vendors Managing our internal systems which include precise information about nutrients and allergens Maintaining order and cleanliness of the store Our humble expectations You are proactive and a fast learner with the ability to multitask You’ll work in flexible shifts in both morning and evening shifts across weekdays and weekends - our store is open 7 days a week, from 07:00 to 02:30. We require flexibility to work across all our working hours, including weekends and public holidays Experience from working in a grocery store is an advantage! You have a full professional proficiency in English. Greek is a plus! You have the right to work in Cyprus What you’ll get by joining us Attractive salary package and thirteen salaries per year 21 days of paid leave per year Wolt credits cashback benefit Excellent working environment Wolt-wide training programs and career development opportunities Fruits and drinks at the Wolt Market If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

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

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

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

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

Location: Dubai, United Arab Emirates About Müller's Solutions: Müller's Solutions is an industry-leading SAP consulting firm dedicated to delivering innovative solutions that empower businesses to maximize their SAP investments. Our team of experienced professionals is committed to providing tailored services that drive efficiency and effectiveness in data management and analytics. Job Overview: We are seeking a skilled SAP Analytics Cloud (SAC) Consultant for a 3-month contract that could be extended based on project needs. In this role, you will be responsible for implementing and supporting SAP Analytics Cloud solutions to enhance reporting, visualization, and data analysis capabilities for our clients. You will collaborate closely with business stakeholders to gather requirements and create meaningful insights. Requirements Requirements: Bachelor's degree in Computer Science, Data Science, Information Systems, or a relevant field. A minimum of 3 years of experience working with SAP Analytics Cloud (SAC) or similar BI tools. Hands-on experience with SAC for data modeling, storytelling, and dashboard creation. Experience in connecting SAC with various SAP and non-SAP data sources. Demonstrated experience in Integrated Financial Planning (Standard). Strong understanding of best practices for visualization, reporting, and analytics. Experience integrating SAP Analytics Cloud with SAP BW, SAP HANA, or other data sources. Knowledge of data preparation, ETL processes, and data transformation best practices. Excellent analytical and problem-solving skills to evaluate business requirements and provide effective solutions. Strong communication skills to effectively interface with clients and gather requirements. Ability to work independently and collaboratively in a fast-paced environment. SAC certification is a plus but not mandatory.

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

Location: Philippines; Cavite, Philippines; Manila, Philippines; Taguig, Philippines; Cebu, Philippines REMOTE: Senior Software Engineer - Full Stack Developer Job Description: We are seeking a highly skilled Senior Software Engineer with expertise in Microsoft SQL Server and SQL Server Reporting Services (SSRS) to join our dynamic Development Team. This role is ideal for a full stack developer who thrives across the entire software development lifecycle—designing and optimizing databases (backend), building robust business logic and applications (middle tier), and crafting intuitive, user-friendly interfaces (frontend). The successful candidate will play a key role in developing custom applications and complex reports, integrating them into web or desktop platforms, and delivering tailored technical solutions to meet organizational needs. This position offers the opportunity to work on enterprise-level systems, with a focus on educational institutions, student information systems (SIS), or learning management systems (LMS). If you’re proactive, detail-oriented, and passionate about translating business requirements into innovative software solutions, we’d love to hear from you. Basic Functions: ■ Design, develop, and maintain custom applications and complex reports using Microsoft SQL Server, T-SQL, SSRS, and tools like .NET or similar frameworks. ■ Perform all phases of the system development lifecycle: planning, design, development, implementation, deployment, and maintenance. ■ Optimize database structures and queries for performance and scalability. ■ Create and integrate user-friendly front-end interfaces with backend systems. ■ Document solutions through clear code, flowcharts, diagrams, and technical documentation. ■ Conduct software testing, debugging, and quality assurance to ensure reliable updates and deployments. ■ Collaborate with stakeholders to understand business needs and deliver tailored technical solutions. ■ Provide training and support to clients or internal teams on application maintenance and updates. ■ Contribute to the continuous improvement of the Development Team and internal software processes. Additional Duties and Responsibilities: ■ Enhance customer service and satisfaction through effective communication and timely delivery of solutions. ■ Escalate and resolve development challenges within agreed service levels, keeping stakeholders informed of progress and changes. ■ Maintain in-depth knowledge of our software and its alignment with customer goals, particularly in educational or enterprise contexts. ■ Track time, expenses, and project tasks using the appropriate tools (training provided). Knowledge, Skills, and/or Abilities Required: ■ Proven expertise in Microsoft SQL Server, T-SQL, and SSRS report design. ■ Full stack development experience with proficiency in .NET or similar frameworks. ■ Strong skills in database design, optimization, and integration with web or desktop platforms. ■ Familiarity with enterprise systems such as SIS, LMS, ERP, CRM, HRMS, Library Management Systems, Admissions and Enrollment Management Systems, Facilities and Campus Management Systems, or Analytics/BI Tools (e.g., Power BI). ■ Experience working with educational institutions or similar complex organizational environments is a plus. ■ Excellent interpersonal and communication skills, with the ability to translate technical concepts for non-technical stakeholders. ■ Ability to manage multiple priorities in a fast-paced environment while maintaining attention to detail. ■ Self-motivated, proactive, and adept at problem-solving and technical diagnostics. Educational/Vocational/Previous Experience Recommendations: ■ BA/BS in computer science, software development, or a related field (MBA/MS preferred but not required). ■ 5+ years of development experience, with a focus on SQL Server, SSRS, and full stack application development.

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

Location: Košice, Slovakia; Slovakia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Are you a team player with great communication skills and experience in a customer-facing or logistics role? If you answer yes, we’d love to chat! We are looking for part-time Support Associates (students) to join our Support team in Bratislava. Starting in October 2026! This applies to candidates living outside of Bratislavsky & Trnavsky kraj. What you'll be doing: Handling incoming live chats (and occasionally phone calls) from our customers, venues, and couriers Ensuring that the delivery operation runs smoothly You have great communication skills with a personal touch, and a customer-obsessed and team-oriented mindset You are a fast learner, you have no problem with multitasking, and you are ready to work in a fast-paced environment You already have some experience in a customer-facing role, and you are passionate about service This is a shift work position. You can work evenings and weekends too - We are available to our clients seven days a week from 7:00 am to 1:00/2:00 am. Supporting primarily Slovakia, with occasional shifts for Czechia or other markets when necessary You are fluent in Slovak language and you have professional working proficiency in English (minimum B2) What do we offer: Multisport card Employee cashback benefit in Wolt credits Benefit plus card Snacks and drinks at the office Possible home office after completing necessary onboarding in our office in Bratislava Opportunity to grow both personally and professionally within our team Employee assistance program Team building events For a part-time student Support Associate, the basic (fixed) wage component is 7.30€ brutto / hour after probation. If you are excited about being part of our young and ambitious team, click below to apply and get the conversation going! Please note that due to GDPR we do not accept applications sent via email. Please submit your application and CV via our careers page! The successful candidate's starting hourly pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Pay Range: €6,90 — €7,30 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Cincinnati, Ohio About Snap! Mobile, Inc: Founded in 2014, Snap! Mobile is the creator of Snap! Raise, the nation’s largest and top-performing digital fundraising platform for high school and youth athletics and activities. Since its founding, Snap! Raise has helped over 150,000 schools, groups, and teams raise more than $1 billion . Snap! Mobile supports schools, teams, and organizations with Snap! Mobile One, an all-in-one app designed to simplify operations and enhance community engagement. Snap! Mobile One combines the power of Snap! Raise fundraising, fan and community engagement, event scheduling, registration, website management, messaging services, money management, and spirit wear to deliver everything administrators need to succeed in one easy-to-use app. About the Role: As an Account Executive , you will drive the performance and success of your territory by executing a strategic sales plan to generate and develop business opportunities across schools and organizations in your area. You will be responsible for establishing relationships and maintaining and growing existing business. Snap Mobile Account Executives make a tremendous impact and are trusted by athletic directors, coaches, educators, booster clubs, and their communities to support the programs of those we serve. This is a Full-Time position. A Day in the Life Grow business and achieve sales targets by developing, and executing a territory plan Earn credibility as an industry expert for athletic directors, coaches, group leaders, and administrators Understand customer objectives, and articulate relevant technology and industry trends Represent Snap! Mobile at events to influence sales opportunities Build and cultivate customer relationships at schools, districts, club sports Manage sales pipeline and provide accurate sales forecasts Maintain accurate customer records within the company’s systems, including HubSpot Role Progression Within 1 Month, You Will: Complete new hire onboarding including eLearning courses, certification, instructor-led training, role-play, and mentorship Begin outreach to cultivate customer relationships with coaches, group leaders, athletic directors, and financial/district administrators Effectively manage all steps in the sales process and track progress in CRM Learn best practices, processes, and business tools used including HubSpot Within 3 Months, You Will: Be executing a strategic territory growth plan, built in collaboration with your manager Feel confident in prospecting new business, conducting discovery calls, and presentations to customers both in-person and digitally Know how to prospect to create new revenue opportunities Within 6 Months, You Will: Complete sales activities at volume with a high degree of independence, both in-person and digitally Prospect and close sales toward quarterly and annual targets Work sales opportunities from beginning to end, resulting in new business Increase customer saturation and retention rates, add revenue through customer acquisition What Sets Us Apart? Work with an industry leader to innovate and develop products to serve our customers Work with a team that has a proven track record of growth and achievement Support your community, and it’s future leaders by providing a better opportunity You will be challenged and encouraged to broaden your skills Regular social & philanthropic events Access to personal development courses and tools internally About You You are organized, get things done, and routinely exceed goals You are comfortable in a quickly changing environment and adapt to reach high-performance You have a strong desire to learn in a fast-moving technology company Thrive on open transparency, communication, and collaboration 2+ years of sales experience Requirements: Clean driving record Compensation: Base Salary $50K + Commission, uncapped with average OTE of $75K - $95K in year one Snap! Mobile is proud to offer the following benefits: Medical, Dental, Vision 401K with a 4% match from the company 13 paid holidays Unlimited PTO Compensation: Base + Commission with an average OTE of $75 -95K in year one. Account Executive Compensation $75,000 — $95,000 USD CA Residents click here for privacy policy We use E-verify to onboard new hires. Please click here to learn more.

Location: Larnaca, Cyprus About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Calling all team-players - are you looking for a flexible role that could shape the future of retail? If so, then let’s talk! The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. Our first Wolt Market store in Cyprus was opened in 2022 and our 6th store was launched in February 2024. We are currently looking for part-time and full-time Retail Grocery Assistants (or Grocery Associates, as we call them) to join our awesome teams  in Larnaca! 🤩 What you’ll be doing Taking in orders through our Merchant app Picking and packing groceries, and handing them to customers and courier partners Unloading food and supplies that we receive from vendors Managing our internal systems which include precise information about nutrients and allergens Maintaining order and cleanliness of the store You are proactive and a fast learner with the ability to multitask You’ll work in flexible shifts in both morning and evening shifts across weekdays and weekends - our store is open 7 days a week. We require flexibility to work across all our working hours, including weekends and public holidays Experience from working in a grocery store is an advantage! You have a full professional proficiency in English. Greek is a plus! You have the right to work in Cyprus What you’ll get by joining us Attractive salary package and thirteen salaries per year 21 days of paid leave per year Wolt credits cashback benefit Employee assistance program Excellent working environment Wolt-wide training programs and career development opportunities Fruits and drinks at the Wolt Market If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

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