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Location: Düsseldorf, Germany About our client Our client is the largest network of orthodontic clinics with fully digital processes in Europe. They’ve revolutionized the invisible orthodontics sector with the best team and cutting-edge technology for diagnosis, treatment, and case follow-ups. They believe everyone deserves a smile that makes them happy! Your responsibilities Represent the company by welcoming clients, explaining our client's products and financing options, and guiding them through timelines and expectations. Achieve your sales targets, ensuring you meet conversion goals while providing top-notch patient care to excite every client about starting their treatment. Meet or exceed your monthly KPIs. Address patient concerns or issues collaboratively with the clinic or HQ teams as needed. Build genuine connections with clients to establish trust. Respond to calls and emails promptly and professionally. Follow up with potential clients and maintain a pipeline for future opportunities. Stay self-motivated with a hunger for success. Never settle for anything less than "Impressive"! Requirements 2+ years of experience in a sales role. Previous experience in sectors such as automotive, dental, insurance, or education is highly valued. Confident in presenting products and addressing client questions and concerns accurately. Bilingual English/German speaking skills Benefits Be part of an international and multicultural team! A dynamic and collaborative work environment. Discounts on our client's treatments. Positive company culture: they celebrate every success! Our client foster a culture of inclusion and diversity. They celebrate the individual strengths, perspectives, and experiences of their employees and encourage all candidates to apply, regardless of race, color, religion, gender identity, sexual orientation, age, national origin, disability, or any other factor.

Location: United States or United Kingdom Workplace: remote About Zingtree Zingtree helps high-stakes customer support teams deliver fast, consistent, and compliant answers—every time. Our AI Automation platform enables support-agents and end-consumers to follow complex procedures with ease, resolve issues faster, and ensure customers get the right outcomes in moments that matter. Zingtree helps leading customer support organizations transform self-service, streamline support agent workflows, and deliver exceptional customer experiences. Zingtree is trusted by over 500 customers including industry leaders like Corpay, Experian, Optum / UnitedHealth Group, Allianz, SharkNinja, Sony, and Groupon to power intelligent automation across finance, healthcare, insurance, consumer services / products, and tech. These organizations rely on Zingtree to reduce handle times, increase FCR, improve CSAT, and stay compliant — all without overloading IT. As demand for governed AI and guided CX grows, we’re scaling our team to help more enterprises take control of their most complex support workflows. We are seeking a SaaS Solutions Architect with strong project management capabilities and a passion for building conversational AI workflows. This is a hands-on, individual contributor role ideal for someone who excels at guiding clients through the technical implementation of intelligent support solutions. In this role, you’ll own the end-to-end deployment process—from systems integration to the design, build, and launch of conversational AI workflows tailored to each customer’s needs. You’ll work closely with both client stakeholders and internal teams to deliver seamless automation, configure advanced integrations, manage timelines, and ensure a successful go-live. This position requires a unique blend of technical expertise, AI workflow design experience, and a customer-first mindset to drive real impact for support organizations. The role reports into the COO and in order to best support our UK clients, we're only accepting applicants based on the East Coast of the U.S. or in the United Kingdom. What You'll Do Solution Design & Customization : Design, demo and build tailored AI-driven and conversational workflows that align with customer support objectives. Leverage decision trees and natural language interfaces to streamline complex support interactions. Technical Configuration & Integration : Collaborate with client IT teams to configure and integrate Zingtree with CRMs, APIs, and third-party platforms—ensuring reliable data exchange and conversational AI compatibility. Client Onboarding & Planning : Lead onboarding sessions to gather business requirements, understand customer support processes, and define project goals, with a focus on identifying opportunities for conversational automation. Stakeholder Collaboration : Act as the primary technical point of contact for clients throughout the project lifecycle, providing regular updates and managing expectations. Operate as the technical liaison to translate requirements between client business and IT resources, as well internally with team members Risk & Issue Management: Identify and mitigate project risks; resolve technical and process-related issues to prevent project delays. Testing & Validation : Guide UAT (User Acceptance Testing) with clients, ensuring conversational workflows and integrations meet functional and experience goals. Training & Enablement : Participate in platform and user training sessions to ensure customers are equipped to build and maintain AI-enabled conversational flows, workflows, and reporting. Go-Live & Post-Implementation Support : Ensure successful go-live execution and provide a seamless transition to Customer Success and Support for ongoing enhancements and support. Project Management : Coordinate and collaborate on multiple SaaS implementation projects concurrently - balancing technical execution, AI workflow development, and client alignment within defined timelines and scopes. Who You Are Work Experience: 4+ years in a solutions architect, customer engineering, technical project implementation roles, with at least 2+ years in enterprise B2B SaaS, preferably in customer support or contact center solutions, and with start-up experience. Conversational AI & Technical Expertise: Proven hands-on experience with automation technologies and integration architectures, including APIs, authentication protocols, middleware, web services, and messaging patterns. Proficiency in technologies enabling conversational AI—such as large language models (LLMs), prompt engineering, AI-led agentic workflows, and real-time decisioning. Strong front-end skills (JavaScript, CSS, JSON) and familiarity with ETL/data transformation. Experience integrating with CRMs (especially Salesforce and Zendesk) is a significant plus. Business Acumen: Specializes in digesting complex business requirements and designing comprehensive and integrated workflow solutions that are flexible and adaptable to the client's needs. Analytical Mindset: Proficient in troubleshooting technical challenges and collaborating with cross-functional teams to find solutions. Ability to quickly understand operational processes and identify areas the technology can condense and/or optimize the processes. Client-Facing Expertise: Exceptional communication and interpersonal skills; experience interfacing with customers to manage expectations, resolve issues, and ensure project success. Ability to clearly articulate technical topics to a non-technical audience, including experience working with executives. What We Offer Competitive Compensation with performance-based incentives Health, Dental, and Vision Benefits (100% covered for employees) Equity Stock Options 401(k) Retirement Plan Paid Parental Leave Unlimited PTO Flexible Remote Work Environment $500 Home Office Stipend + Monthly Internet/Phone reimbursement Co-Working Reimbursement up to $200/month Our Core Values Lead with Action – We move fast with purpose People Really Matter – We win as a team and support each other fully Ownership Leads to Results – We take responsibility and deliver Expertise Creates Value – We build and apply knowledge Transparency Builds Trust – We communicate clearly, directly, and with care. As Zingers, we operate with a mindset that blends urgency, intelligence, and humanity. Zingtree Mission Empowering teams to resolve complex customer issues with confidence, clarity, and control. We believe the future of customer experience belongs to those who can orchestrate outcomes—not just automate tasks. Zingtree Vision Creating a world where every customer interaction is accurate, compliant, and effortlessly scalable. #LI-Remote #LI-EG1

Location: United States or United Kingdom Workplace: remote About Zingtree Zingtree helps high-stakes customer support teams deliver fast, consistent, and compliant answers—every time. Our AI Automation platform enables support-agents and end-consumers to follow complex procedures with ease, resolve issues faster, and ensure customers get the right outcomes in moments that matter. Zingtree helps leading customer support organizations transform self-service, streamline support agent workflows, and deliver exceptional customer experiences. Zingtree is trusted by over 500 customers including industry leaders like Corpay, Experian, Optum / UnitedHealth Group, Allianz, SharkNinja, Sony, and Groupon to power intelligent automation across finance, healthcare, insurance, consumer services / products, and tech. These organizations rely on Zingtree to reduce handle times, increase FCR, improve CSAT, and stay compliant — all without overloading IT. As demand for governed AI and guided CX grows, we’re scaling our team to help more enterprises take control of their most complex support workflows. We are seeking a Senior SaaS Solutions Architect with strong project management capabilities and a passion for building conversational AI workflows. This is a hands-on, individual contributor role ideal for someone who excels at guiding clients through the technical implementation of intelligent support solutions. In this role, you’ll own the end-to-end deployment process—from systems integration to the design, build, and launch of conversational AI workflows tailored to each customer’s needs. You’ll work closely with both client stakeholders and internal teams to deliver seamless automation, configure advanced integrations, manage timelines, and ensure a successful go-live. This position requires a unique blend of technical expertise, AI workflow design experience, and a customer-first mindset to drive real impact for support organizations. The role reports into the COO and in order to best support our UK clients, we're only accepting applicants based on the East Coast of the U.S. or in the United Kingdom. What You'll Do Solution Design & Customization : Design, demo and build tailored AI-driven and conversational workflows that align with customer support objectives. Leverage decision trees and natural language interfaces to streamline complex support interactions. Technical Configuration & Integration : Collaborate with client IT teams to configure and integrate Zingtree with CRMs, APIs, and third-party platforms—ensuring reliable data exchange and conversational AI compatibility. Client Onboarding & Planning : Lead onboarding sessions to gather business requirements, understand customer support processes, and define project goals, with a focus on identifying opportunities for conversational automation. Stakeholder Collaboration : Act as the primary technical point of contact for clients throughout the project lifecycle, providing regular updates and managing expectations. Operate as the technical liaison to translate requirements between client business and IT resources, as well internally with team members Risk & Issue Management: Identify and mitigate project risks; resolve technical and process-related issues to prevent project delays. Testing & Validation : Guide UAT (User Acceptance Testing) with clients, ensuring conversational workflows and integrations meet functional and experience goals. Training & Enablement : Participate in platform and user training sessions to ensure customers are equipped to build and maintain AI-enabled conversational flows, workflows, and reporting. Go-Live & Post-Implementation Support : Ensure successful go-live execution and provide a seamless transition to Customer Success and Support for ongoing enhancements and support. Project Management : Coordinate and collaborate on multiple SaaS implementation projects concurrently - balancing technical execution, AI workflow development, and client alignment within defined timelines and scopes. Who You Are Work Experience: 7+ years in a solutions architect, customer engineering, technical project implementation roles, with at least 4+ years in enterprise B2B SaaS, preferably in customer support or contact center solutions, and with start-up experience. Conversational AI & Technical Expertise: Proven hands-on experience with automation technologies and integration architectures, including APIs, authentication protocols, middleware, web services, and messaging patterns. Proficiency in technologies enabling conversational AI—such as large language models (LLMs), prompt engineering, AI-led agentic workflows, and real-time decisioning. Strong front-end skills (JavaScript, CSS, JSON) and familiarity with ETL/data transformation. Experience integrating with CRMs (especially Salesforce and Zendesk) is a significant plus. Business Acumen: Specializes in digesting complex business requirements and designing comprehensive and integrated workflow solutions that are flexible and adaptable to the client's needs. Analytical Mindset: Proficient in troubleshooting technical challenges and collaborating with cross-functional teams to find solutions. Ability to quickly understand operational processes and identify areas the technology can condense and/or optimize the processes. Client-Facing Expertise: Exceptional communication and interpersonal skills; experience interfacing with customers to manage expectations, resolve issues, and ensure project success. Ability to clearly articulate technical topics to a non-technical audience, including experience working with executives. What We Offer Competitive Compensation with performance-based incentives Health, Dental, and Vision Benefits (100% covered for employees) Equity Stock Options 401(k) Retirement Plan Paid Parental Leave Unlimited PTO Flexible Remote Work Environment $500 Home Office Stipend + Monthly Internet/Phone reimbursement Co-Working Reimbursement up to $200/month Our Core Values Lead with Action – We move fast with purpose People Really Matter – We win as a team and support each other fully Ownership Leads to Results – We take responsibility and deliver Expertise Creates Value – We build and apply knowledge Transparency Builds Trust – We communicate clearly, directly, and with care. As Zingers, we operate with a mindset that blends urgency, intelligence, and humanity. Zingtree Mission Empowering teams to resolve complex customer issues with confidence, clarity, and control. We believe the future of customer experience belongs to those who can orchestrate outcomes—not just automate tasks. Zingtree Vision Creating a world where every customer interaction is accurate, compliant, and effortlessly scalable. #LI-Remote #LI-EG1

Location: Moldova Project Description We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure. Technologies SQL (PostgreSQL, MySQL or similar) Python (or another scripting language) Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus What You'll Do Assist in the design, development, and maintenance of scalable data pipelines; Support data integration from various sources (databases, APIs, flat files); Help ensure data quality, consistency, and reliability; Collaborate with data analysts and data scientists to understand data requirements; Participate in code reviews and contribute to technical documentation; Monitor and troubleshoot data workflows, resolving issues as they arise; Job Requirements 1+ years of practical experience or relevant internship in a data-focused role (preferred); Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience); Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server); Familiarity with at least one programming language (preferably Python); Understanding of ETL concepts and data warehousing fundamentals; Eagerness to learn new technologies and best practices in data engineering; Strong problem-solving skills and attention to detail; Effective communication and teamwork abilities; English level: Intermediate+ or higher; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; English courses; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

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 performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.  As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.  You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience managing teams through periods of rapid growth and change Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective Strong candidates may also have experience with: High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers 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: Dusseldorf Metropolitan Region, Germany Our partner, a globally successful company group, is looking for a Project Manager - Transfer Pricing (m/f/d) . This is a full-time permanent position onsite in Dusseldorf metropolitan area, Germany (partial work from home is possible). About the Company Join a renowned market leader in their sector, celebrated for pioneering innovations and setting exceptional standards. Their vibrant work environment fosters professional growth, inclusivity, and values individual contributions. Key Responsibilities Contribute to the design and implementation of international IT service billing processes. Act as a business expert, taking ownership of your concepts. Manage projects and collaborate on various IT service billing initiatives. Develop and coordinate technical requirements with departments such as Controlling, Accounting, and Tax. Prepare presentations and decision-making documents for IT service billing concept and technical development. Define system requirements for IT service billing and oversee the management of internal IT service providers. Qualifications A degree in Business Administration, Business Informatics, or a related field. Experience in gathering, coordinating, and defining technical requirements. Knowledge of software implementation requirements. Professional experience in financial controlling or accounting, ideally with an IT focus. Strong communication skills, with the ability to present logical connections clearly and effectively. Positive mindset, initiative, and enthusiasm for teamwork. Fluency in German and English. Preferred Skills Experience in IT strategy or management consulting. Proficiency in MS Office. Knowledge of Apptio (optional). If you are interested in joining the team as a Project Manager - Transfer Pricing , do not hesitate to apply for the job and send us your CV.

Location: Düsseldorf, Germany Our partner, a well-known German online platform, is looking for SAP S/4HANA Product Data Management Technical Specialist (m/f/x) to plan the system connection, data migration and authorization. This is a full-time position in Dusseldorf metropolitan area, Germany (partial work from home is possible). About the team: The team is dedicated to designing and enhancing procurement processes for all countries globally, while also managing international projects in the areas of Purchasing and Product Assortment. We focus on developing innovative IT solutions and fostering strong collaboration with suppliers and buyers worldwide to achieve outstanding results Tasks: In the realm of International IT, assume the role of primary liaison for global colleagues, addressing their inquiries effectively. Lead and supervise all interfaces of SAP S/4HANA product master data as a key member of the SAP Product Integration unit. Independently identify and execute enhancements for product-oriented interfaces, articulating technical requirements and advancing them. Assess the efficiency of our interfaces, proposing and implementing improvement strategies. Offer guidance and support to our external service partners in the development of new specifications, responding to their questions as needed. Manage and coordinate smaller scale initiatives within the team, collaborating closely with other groups. Qualifications: Proficient in managing IDOCs and SAP job management, demonstrating a deep understanding of these concepts. Proven experience in the distribution of SAP S/4HANA product master data, Competence in collaborating with external service providers. A collaborative individual with outstanding proficiency in English. Holds a degree specializing in information technology or a related field. Benefits: Mobile working options within Germany with flexible hours and provided equipment. Hybrid work model combining home office and on-site presence (1-2 days a week). Access to state-of-the-art technologies. Competitive remuneration and additional bonuses. Vacation and Christmas bonuses. Future-oriented training & development opportunities. Structured onboarding and support via an onboarding buddy. Health perks. If you are interested in joining the team as a SAP S/4HANA Product Data Management Technical Specialist (m/f/x) , apply now by sending us your CV.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is Python/Flask, React, React Native, PostgreSQL. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. WHICH AREA WILL YOU JOIN ? By applying to this role, you’ll be considered for three different areas. Throughout the hiring process, we’ll discuss your experience, strengths, and interests, alongside our current hiring needs, to determine which area would be the best fit for you and where you could have the greatest impact. We’ll share this with you before the final stage of the process. - Claims Management: We refund €350M+ in healthcare expenses every year to 1M+ members across France, Belgium, Spain, and Canada. Our mission is to pay each member the right amount, as quickly as possible, while staying cost-effective for Alan. We have built the entire claims chain in-house, from LLM-powered parsing of 2.5M documents per year https://medium.com/alan/how-we-reached-70-document-processing-automation-at-alan-674bc80f3ef3 and a global coverage engine that determines how much each member should receive, to payment infrastructure, fraud prevention https://www.linkedin.com/pulse/chaque-euro-fraud%C3%A9-%C3%A0-lassurance-sant%C3%A9-cest-un-de-moins-martos-ssxae/, and the member experience across mobile and web https://medium.com/alan/universalisation-at-alan-how-we-stopped-building-everything-twice-7feb8d88a4a8. You’ll work on deep systems that must be reliable 24/7 and operate at scale, where every improvement has a direct impact on a member’s bank account. - Insurance Offer: We build the infrastructure that protects 1M+ people across four countries. Our mission is to make insurance simpler, more scalable, and more effective for our members and customers. You’ll work on real-time pricing, AI-powered tools that empower Sales, and Alan’s next-generation global insurance stack. More information here https://medium.com/alan/how-we-refactored-one-of-our-most-used-data-models-33cadaf31313 and here https://medium.com/alan/one-stack-for-every-country-and-product-inside-alans-core-stack-e87a127efa12. - Customer Enablement: We run the engine behind every company that joins Alan. We bill 40K+ companies across four countries, affiliate their employees, and keep payroll and employment data accurate for 1M+ members. Our mission is to build the shared infrastructure that enables other Alan services to operate reliably and efficiently. You’ll work on a multi-country billing and invoicing platform, affiliation and employment systems that determine who is covered and from when, reconciliation tooling that identifies coverage and billing mismatches, and the APIs used by other teams to build their services. These are systems where correctness is non-negotiable: a wrong invoice or a missed affiliation can be visible to a company within the same week. ⭐ IS IT YOU WE’RE LOOKING FOR? We are looking for engineers with 3+ years of experience to help us scale our Engineering community from different perspectives (product, tech, and internal organization-wise): - You’ll be able to tackle high-impact & high-risk projects involving many engineers. - You’ll design efficient systems and engineering practices to align with and facilitate interactions between multiple teams/products. - You’ll have the opportunity to mentor other engineers & lead crews (more details in this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan). - You’ll be able to contribute to hiring your future coworkers and shape candidates’ hiring experience (improving our technical assessment process etc...) You would be a good fit at Alan if most of this sounds like you: - Well-versed in Object Oriented Programming such as Python, Java, C#, and enthusiastic about web technologies such as modern Javascript. - Willing to work in Python/JavaScript (but you don’t need to have experience with those 2 languages!). - Passionate about building products. - Self-starting and entrepreneurial. - Humble and still willing to grow (no matter your seniority!). - Collaborative, enthusiastic about teamwork, learning, and teaching. - Fluent in English (no need to speak French!). For this opportunity, we are aiming to hire within the C-F level range. But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. If you identify as a woman and do not meet every requirement, we would still love to hear from you. Research suggests that women can be more selective than men when deciding whether to apply, so please do not self-select out. 🙌 PERKS & BENEFITS - Fair rewards & equity packages. - Flexible office & remote options. - Top-tier equipment: MacBook Pro, monitor, noise-canceling headphones. - Flexible vacation & hours. - Comprehensive healthcare for you, children, and partners. - Transport support and coaching for personal growth. - Training budget for conferences, courses, books. - Extended parental leave for all parents.   🔄 RECRUITMENT NOTE 🌟 We hire people, not roles. Don’t worry if you don’t check every box - high potential and curiosity matter most. We may even suggest another team if we see a better fit. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 !   🔖 Learn more About Alan https://alan.com/about and on our Career https://alan.com/careers pages, Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm. 🔄 A quick note about the process Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

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 As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level 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: $280,000 — $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: Santiago, Chile Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Affiliate Executive 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. The Role We are looking for a motivated and strategic Affiliate Executive to lead and grow our affiliate partnerships across Latin America . This role focuses on performance marketing, campaign optimization, and relationship management, including collaboration with influencers to enhance brand visibility and engagement. Key Responsibilities: Acquire, onboard, and manage affiliate partners in key LATAM markets (Mexico, Colombia, Chile, Peru, Brazil) to drive client acquisition and trading volumes Develop and implement strategies to boost affiliate performance and engagement Monitor, analyze, and optimize campaigns using tools such as Impact , Cellxpert , and Appsflyer Collaborate cross-functionally with Marketing, Compliance, and Product teams to ensure effective affiliate partnerships Stay informed on LATAM market trends, competitive dynamics, and regulatory requirements Work with influencers and content creators to promote brand awareness and attract new clients Provide affiliates and influencers with creative assets, insights, and regular performance feedback Proven experience in affiliate marketing , ideally within Forex, CFDs , or the fintech industry Hands-on experience with Impact, Cellxpert , and Appsflyer Strong analytical skills and a data-driven approach to performance marketing Solid understanding of the LATAM region , trading behaviors, and local regulations Excellent communication, negotiation, and relationship-building abilities Existing portfolio of affiliate partners is a strong advantage Experience in influencer marketing is a significant plus Fluency in Spanish and/or Portuguese , with proficiency in English required Why You’ll Love Working With Us: Competitive salary with performance-based bonus structure Friendly, collaborative, and inclusive workplace culture Flexible and hybrid working environment Option to work remotely from anywhere in the world for up to 6 weeks per year Ongoing learning and development support 3 paid volunteer days per year + Workplace Giving Program Recognition and reward programs for outstanding performance Regular team events and celebrations Access to our Employee Assistance Program and wellness initiatives

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Backend Developer (.NET) to join our rapidly expanding team. Join a high-caliber team and contribute to its success with your passion, hard-work and positive attitude. About Tickmill Founded in 2014, Tickmill has grown into a global financial services group of 300+ people, with regulated entities across major jurisdictions and a client base built on trust in active trading, spanning CFDs, Futures and Options. That foundation: capital, licensing, infrastructure and an established international client base ,is what makes the next stage possible: building genuinely new product lines in Stocks, ETFs, Investing, Wealth and Prediction Markets, aimed at a much larger consumer audience than our existing trading business alone. What does the role look like? The Backend Developer (.NET) will have the opportunity to: Design, develop and support backend services with a focus on integrations with other systems, services. Support and improve our quality processes by developing automated unit tests and performing code reviews. Collaborate with internal/external teams throughout the integration process. Identify, correct bottlenecks and fix bugs. Help maintain code quality, organization, and automatization. Stay up to date with new technology trends, applications, and protocols. What do you need to succeed in this role? Degree in Computer Science, Engineering, or a related field. Good understanding of object-oriented programming and design patterns. 3+ years of software development experience, ideally in C#. Ability to assess, troubleshoot and debug integration issues. Good understanding of code versioning tools. Excellent analytical, and problem-solving skills. Proficient in English language with excellent written and verbal communication skills. It will be considered as a plus if you have: Experience working in cloud infrastructures like AWS or Azure. Understanding of CI/CD, unit testing, integration testing. Experience with Relational Database Management Systems. Experience within the financial markets Industry on a similar IT field. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “ Employee Training & Development program”. Medical Insurance Cover , which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits . Collaboration with SportBenefit. What to expect from our recruitment process: First interview with hiring managers or an HR call Task Assessment Technical Interview or home assignment Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

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: 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: Lagos, Nigeria As Product Design Lead, you will spearhead Renmoney’s design transformation, creating a cohesive design language that enhances customer trust and drives business growth. Leading a team of  product and brand designers, you will champion a scalable Renmoney Design System, deliver intuitive and accessible user experiences, and collaborate with Product, Marketing, and Engineering teams. Design Strategy & Leadership : Define and execute a design vision aligned with Renmoney’s mission to simplify financial services. Build, mentor, and lead a high-performing team of  designers, fostering creativity and user-centricity. Renmoney Design System : Develop and maintain a scalable design system (components, patterns, guidelines) to ensure consistency across digital platforms, in-store branding, and marketing materials. Enforce guidelines for internal teams and external partners. Brand Identity : Evolve Renmoney’s visual identity (logo, typography, color palette) for mobile apps, in-store signage, print materials, and digital campaigns. Manage relationships with external agencies to ensure brand consistency across all touchpoints. Product Design : Oversee UX/UI strategy for mobile apps, web platforms, and agent tools, delivering intuitive, accessible experiences for diverse users (e.g., instant loan users, SMEs, savers). Conduct user research and usability testing to refine customer journeys. Customer Insights : Integrate user feedback, behavioral data, and customer service insights to inform design priorities. Champion a culture of empathy and experimentation within the design team. Cross-Functional Collaboration : Partner with Product, Marketing, and Customer Experience teams to align design with business objectives and go-to-market plans. Collaborate with Engineering to ensure technical feasibility and seamless implementation. Innovation & Accessibility : Leverage emerging tools (e.g., AI-driven design, localization for Nigerian languages) to create scalable, inclusive experiences. Ensure all designs meet accessibility standards (e.g., WCAG compliance) and resonate with Nigeria’s diverse audience. Design Operations : Streamline design workflows, improve project velocity, and manage multiple projects with clear documentation. Coordinate with vendors and agencies for offline branding, digital campaigns, and print production. Executive Reporting : Present design strategies, progress, and outcomes to the CEO and executive leadership. Communicate design impact to board members and business stakeholders Requirements Experience : 7+ years in design roles, with 3+ years in a leadership position (e.g., Head of Design, Design Lead, Design Manager, Creative Director). Fintech, financial services, or product-led startup experience is a plus. Portfolio : A strong portfolio showcasing end-to-end design thinking across UX/UI, design systems, and consumer-facing branding. Technical Skills : Proficiency in Figma, Adobe Creative Suite (Illustrator, Photoshop, XD), user research tools, and collaborative platforms (e.g., Notion, Whimsical). Leadership & Collaboration : Proven ability to lead multidisciplinary teams, influence stakeholders, and drive strategic design impact. Fintech Awareness : Strong understanding of Nigeria’s financial services landscape, user behaviors, and accessibility needs. Education : Bachelor’s degree in Graphic Design, Interaction Design, Visual Communication, or a related field. Master’s degree or certifications are a plus. What Success Looks Like in 12 Months A fully adopted Renmoney Design System driving consistency across mobile, web, and offline channels. Improved Net Promoter Score (NPS) and brand consistency metrics. 50% reduction in design-to-development friction through clear documentation and workflows. A strong brand presence across agent locations, digital platforms, and marketing campaigns. A high-performing design team delivering with velocity and clarity. Benefits - Impact: Shape the face of digital banking in Nigeria by delivering intuitive and life-changing user experiences. - Ownership: Lead end-to-end product journeys with autonomy and measurable results. - Growth: Work in a data-driven, agile, and collaborative environment with opportunities to grow into senior leadership. - Flexibility: Hybrid work options, performance-based rewards, and a culture that values innovation, empathy, and diversity.

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: Lagos, Nigeria About Renmoney Renmoney is a leading Nigerian fintech on a mission to make financial inclusion simple, accessible, and rewarding. As we scale our digital presence, we’re looking for a talented Product Manager to own and drive the user experience across our mobile app and web platforms, ensuring our customers enjoy frictionless access to loans, savings, bill payments, transfers, and account management features. Role Summary The Product Manager for Front-End Channels will lead the strategy, execution, and continuous optimization of Renmoney’s Mobile and Web customer-facing platforms. You will work with cross-functional squads — including engineering, design, QA, marketing, and business stakeholders — to create intuitive and delightful digital journeys that drive engagement, conversion, and revenue growth. Key Responsibilities Product Strategy & Vision - Define and champion a compelling product vision for Mobile and Web channels, aligned with Renmoney’s business goals of increasing customer acquisition, retention, and transaction volume. UX Optimization - Lead UI/UX revamps to improve usability, accessibility, and inclusiveness, especially for non-tech-savvy users. Partner with design to ensure consistency, performance, and visual appeal. Execution & Delivery - Own the product backlog. Prioritize features, manage sprints, and coordinate across Engineering, QA, DevOps, and BA teams to deliver timely, high-quality updates. Customer-Centric Design - Use customer feedback, usability testing, and behavioral analytics to optimize onboarding, in-app navigation, and key feature adoption. Conversion & Engagement - Drive improvements in loan funnel conversion, savings engagement, and transaction completion. Proactively reduce drop-offs and increase session stickiness. Cross-functional Collaboration - Collaborate with Lending, Banking, Risk, Customer Service, and Marketing teams to ensure platform scalability, compliance, and readiness for new initiatives. Compliance & Regulation - Ensure all front-end features meet Nigerian fintech regulatory and data privacy standards. - Advocate for inclusive design to drive financial access. Release Management - Plan and coordinate beta rollouts, production deployments, and emergency hotfixes in collaboration with DevOps and QA. Product Analytics - Define and monitor KPIs — including activation, MAU/WAU, churn, drop-off points — using tools like Firebase, Mixpanel, and Google Analytics Requirements 5+ years of Product Management experience in fintech or digital banking; 3+ years managing mobile/web platforms with proven outcomes in user growth and engagement. Technical Exposure - Understanding of REST APIs, mobile/web architecture, analytics integration, and Agile methodologies. Tools Proficiency - JIRA, Confluence, Figma, Miro, Productboard (or equivalent), Firebase/Mixpanel, Google Analytics. SQL is a plus. Bachelor’s in Computer Science, Engineering, Finance, or related field. MBA or Product certifications (e.g., Pragmatic, AIPMM) is a plus. Soft Skills - Strong ownership mindset, analytical thinking, storytelling ability, cross-functional leadership, and stakeholder influence at C-level. Key Performance Indicators (KPIs) - Mobile App Conversion Rates (Loan Applications, Savings, Bill Pay) - Weekly & Monthly Active Users (WAU, MAU) - Onboarding Funnel Completion Rate - Customer Retention & Churn (Mobile & Web) - App Store Ratings and Reviews - Page Speed, Uptime, and Hotfix Delivery Time Benefits - Impact: Shape the face of digital banking in Nigeria by delivering intuitive and life-changing user experiences. - Ownership: Lead end-to-end product journeys with autonomy and measurable results. - Growth: Work in a data-driven, agile, and collaborative environment with opportunities to grow into senior leadership. - Flexibility: Hybrid work options, performance-based rewards, and a culture that values innovation, empathy, and diversity.

Location: Berlin, Germany Our client is an all-in-one platform combining boutique fitness and advanced technology. Their platform helps their partners manage their bookings, payroll, marketing and more, to streamline operations and boost their commercial success. Since they launched in 2019, they have already achieved the following: Built a community of over 7 million users Finalized the biggest Series B this year (€30 million) Grown their team to more than 160 employees About Your Role Joining the Northern Europe team (France, Benelux & DACH) means stepping into a dynamic and mature market where our client already holds a strong presence. They are looking for curious, creative minds who can bring fresh ideas and solutions to take their success to the next level. As part of this team, you’ll be joining a young, dynamic network of sharp, driven professionals who are deeply committed to excellence, collaboration, and sustained growth. You’ll find a supportive environment that values both independent thinking and teamwork, pushing you to make a tangible impact on their journey as a leader in the region. One of the coolest aspects of being part of their team is the clear career progression and growth opportunities. As an SDR, you have the chance to advance through levels—from Junior SDR to Confirmed SDR, and then to Senior SDR—all within the span of a year. With each progression, you gain more responsibility, increase your influence, and have a direct impact on your bonus structure. After reaching Senior SDR, there are exciting opportunities to grow into roles like Junior AE or Team Leader SDR, putting you in the driver’s seat of your career journey. What Will Be Your Impact Prospect accounts and identify potential new revenue segments for your region by researching and analyzing market opportunities. Conduct targeted email outreach to engage prospects and spark interest in our client's solutions. Cold call potential clients to introduce your company and qualify leads based on their needs. Use LinkedIn and Instagram to connect with key decision-makers, starting conversations and driving interest. Communicate with their Sales and Operations Team to provide insights into market trends and developments. Report and manage all of your activities on their SalesLoft platform to organise your own Sales Pipeline. Leverage video and other media outreach methods to personalize communication and increase engagement with prospects. Requirements Have experience in sales, customer service, or similar client- facing roles, ideally in a high-growth or startup environment. Have native level of German and fluency in English. Enjoy taking initiative and achieving results in a fast-paced environment. Thrive on challenges and are eager to develop your skills in a dynamic market. Can work independently while contributing to a strong team spirit and collaboration. Are organised, precise, and demonstrate excellent communication skills in both written and verbal forms. Have a creative mindset: creative people share ideas, suggest solutions, and are not afraid to innovate! Comfortable with digital tools and sales software (CRM, LinkedIn, Email platforms, etc.). Able to multitask and prioritize effectively, managing a high volume of outreach without compromising quality. Benefits Their benefits package is thoughtfully crafted to ensure you feel valued, supported, and empowered. They also offer ample career growth opportunities through continuous learning, & mentorship. Plus, they are continuously enhancing their offerings. Attractive compensation package: Competitive base salary, performance-based bonuses, and equity options, aligning your success with the company’s growth! Career growth and development: Fast-track your career growth with personalized development and trainings. Diverse & global team: Work alongside a multicultural, international team that celebrates diversity and creativity. Work-Life harmony: Enjoy the flexibility of a hybrid model, with remote days to support your work-life balance. Say goodbye to homesickness: Work remotely from abroad for up to 3 weeks each year. Comprehensive health coverage: They have got you covered with fully-funded health insurance, so you can focus on what matters most. Paid sick days: Feel supported with paid sick leave, because your health and well-being come first. Exclusive fitness perks: Stay active with a specially negotiated gym plan, tailored for you. Team building & sports activities: Exciting team-building, after-work gatherings and sports initiatives designed to inspire and energize. What the Interview Process Will Look Like: Discovery call with their Talent Acquisition team. Interview with their SDR Team Leader. Interview with their Country Manager.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value. We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally. We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career. We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices. In this project, you will be part of the AI Lab core team, working on diverse initiatives focused on AI-driven transformation. You will collaborate closely with AI Lab leaders to improve productivity, drive innovation, and reduce operational costs across various industries. Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects Practical experience in AI roles such as Consultant or AI Solution Architect Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrable hands-on experience implementing AI/ML solutions in a business context Proven experience with at least one major cloud platform (AWS, GCP, or Azure) Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations