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Location: Montreal Workplace: remote ABOUT YOU   We are looking for a Senior Backend Engineer who is detail-oriented, proactive, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design and build scalable backend systems, drive architectural improvements, and deliver resilient, high-performance services in production environments. Strong technical expertise in Go, distributed systems, and microservices architecture is essential, along with experience in building and operating cloud-native applications in containerized environments using Docker and Kubernetes. The ability to troubleshoot complex production issues, optimize system performance, and manage event-driven architectures using Kafka or similar streaming platforms will be key to your success in this role. If you're passionate about building reliable, scalable systems that power high-impact products and love creating seamless infrastructure that enables innovative payment, gaming, or commerce experiences, we would love to hear from you!   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Design, build, and maintain backend services that power core products and platforms. Develop event-driven systems using Go and Kafka. Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve service performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Participate in on-call rotation to support production systems and respond to incidents. Qualifications & Skills 5+ years of backend development experience in Go or a similar language. Strong understanding of microservices architecture, distributed systems, and event-based communication. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Nice to Have Background in gaming, payments, or commerce systems. Experience in adtech or offer monetization platforms. Hands-on experience with Kafka or equivalent streaming platforms. Experience with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Prior experience working on internal platforms or developer-facing tools. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Senior Backend Engineer, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds

Location: Atlanta, United States About the Internship: CKH Group is on the lookout for curious, number-savvy accounting graduates ready to kickstart their careers (and finally put those spreadsheets to good use). Our paid internship offers hands-on exposure to real-world accounting and business processes in an international professional environment. You’ll work side-by-side with experienced professionals, contribute to meaningful projects, and see how the numbers actually drive business decisions. Along the way, you’ll sharpen your technical accounting skills, build confidence in a team setting, and develop the soft skills every great accountant needs. If you’re motivated, detail-oriented, and eager to learn, this internship is your chance to turn theory into practice—and start building a career that adds up. Key Responsibilities: Support day-to-day accounting and finance tasks that help keep the business running smoothly Assist with preparing basic financial documents and reports under guidance from the team Work with accounting software and Excel to enter, organize, and review data Learn how to collaborate with colleagues in a professional finance team environment Follow simple accounting processes and company guidelines, with training and support provided Help with ongoing tasks and small projects, gaining exposure to real-world accounting work Who we are looking for: Students or recent graduates with a strong interest in professional development Willingness to learn and take responsibility Good organizational skills and attention to detail Ability to work independently and as part of a team Basic knowledge of Microsoft Office tools, including basic to Intermediate Excel English communication skills suitable for a professional setting What CKH Group Offers: Exposure to a global and multicultural organization Hands-on experience in a professional business environment Supportive team and learning-focused culture Opportunity to build a strong foundation for future career growth Why is CKH the best choice? CKH is a boutique accounting & financial services firm that provides local expertise aided by global experience. We have presence in Atlanta, South Africa, Ukraine, Poland, Azerbaijan, Spain and Greece. Our tree logo is representative of CKH’s ideals: The roots of the tree remind us to stay grounded and humble. The trunk represents the support we have for each other, making our team strong. But we also like to shake the tree! Churning up new ideas and positive change as the world around us grows. The fruit our tree grows reminds us to never stop growing, producing the best quality service for our clients. The treetop helps us reach higher, always stretching to new heights and goals.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction. This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall. We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be. This role will report to the Design org, and will be based in SF, NYC, or Toronto. WHAT YOU’LL DO 1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration - Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability - Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences - Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it - Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist - Embed accessibility, responsiveness, and performance into the system by default - Establish clear contribution, governance, and deprecation models that balance velocity with system integrity - Raise the bar for system quality across the product through design reviews, critique, and hands-on work - Build alignment across Design, Engineering, and Product through technical direction and collaboration - Anticipate future product and platform needs, evolving the system proactively as Harvey scales 2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI - Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship. - Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI - Document system usage and best practices in a way that is clear, practical, and trusted by product teams   WHAT YOU HAVE - 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments - A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion - Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next - Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases - Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting - High ownership: you treat the system as a product, not a ticket queue - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist   WHY DESIGN SYSTEMS MATTER AT HARVEY Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most.   COMPENSATION $205,760 - $315,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey designs and builds for a legal industry being reshaped by AI, moving with the urgency and ambition the moment demands, not just adapting to change but architecting it. As a Design Systems Designer at Harvey, you will define the foundations that make our product coherent, scalable, and trustworthy as it grows in complexity. The design system is not just a library of components. It is the shared language between design, engineering, and AI that ensures consistency, quality, and confidence across every interaction. This is a design role with unusual technical depth. You lead with design: craft, systems thinking, and a strong point of view on product experience. But you're equally at home in architecture and implementation. You understand how tokens are structured, how components are composed, and how systems are built to scale, and you use that fluency to push the system forward rather than hand decisions over the wall. We're looking for someone who has lived through the evolution of the discipline, someone who understands not just how modern design systems work, but why they're built the way they are, and where the field is heading, especially as AI-native products reshape what a design system needs to be. This role will report to the Design org, and will be based in SF, NYC, or Toronto. WHAT YOU’LL DO 1. Build an AI-native design system that sets the bar for design quality for Design, Engineering, and Product through technical direction and collaboration - Design, prototype, and ship production-ready system components in tight collaboration with frontend and platform engineering, with shared ownership of quality, performance, and maintainability - Define and evolve the core design system foundations (components, patterns, and tokens) that scale across complex, AI-powered experiences - Push both the architecture and the implementation of the system: shape component APIs, token structure, theming, and composition patterns alongside engineering, not downstream of it - Advocate for technical approaches with confidence, especially in new or ambiguous territory where established patterns don't yet exist - Embed accessibility, responsiveness, and performance into the system by default - Establish clear contribution, governance, and deprecation models that balance velocity with system integrity - Raise the bar for system quality across the product through design reviews, critique, and hands-on work - Build alignment across Design, Engineering, and Product through technical direction and collaboration - Anticipate future product and platform needs, evolving the system proactively as Harvey scales 2. Own AI design and implementation workflows for the design team, establishing best practices for prototyping and shipping with AI - Establish in-code prototyping patterns that make it easier to be innovative and consistent as designers increasingly leverage IDEs to experiment and ship. - Define AI-assisted design and implementation workflows, establishing best practices for prototyping and shipping with AI - Document system usage and best practices in a way that is clear, practical, and trusted by product teams WHAT YOU HAVE - 5+ years (Senior) / 8+ years (Staff) of product design experience, with significant ownership of design systems in complex product environments - A design portfolio that demonstrates high design craft in system-level thinking, but a strong point of view on quality, and visual cohesion - Deep design systems expertise, including an understanding of the history and evolution of the discipline. You know why the field moved from style guides to tokens to composable architectures, and you have a point of view on what comes next - Excellent design engineering communication: you articulate system decisions and tradeoffs fluently to designers, engineers, and cross-functional partners - Ability to clearly articulate system decisions and tradeoffs to designers, engineers, and cross-functional partners - Strong knowledge of scalable system architecture and component implementation: component API design, design tokens, theming strategies, and how systems hold up across teams and codebases - Design Engineer experience preferred, but not required in an AI-first world where the boundary between design and engineering is shifting - High ownership: you treat the system as a product, not a ticket queue - Strong opinions, loosely held, being comfortable challenging conventions and evolving best practices as the discipline changes - Comfort operating in ambiguous problem spaces and bringing structure where it doesn't yet exist WHY DESIGN SYSTEMS MATTER AT HARVEY Harvey is an AI-native product. As the system reasons, responds, and adapts in real time, the interface must remain consistent and legible. A strong design system ensures that complexity does not leak into the experience. It enables teams to move faster, reduces cognitive load for users, and builds trust in moments where clarity matters most. COMPENSATION $205,760 - $315,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Manchester Workplace: Hybrid LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION In this role as an Enterprise Account Executive, you’ll be a dedicated sales specialist for Retail Solutions, previously Peak AI, who have now joined forces with UiPath to build a world-class, enterprise-grade Agentic AI offering. Peak’s AI platform optimizes inventories and pricing for global industry leaders including Nike, Heidelberg Materials and PepsiCo. With a core belief that businesses need their own AI — built for their business, with their data — Peak’s pre-built AI products can be configured to fit unique requirements. This position will be focused on new business logo acquisition, working within our EMEA team. You will be responsible for developing and executing with a focus on achieving pipeline generation and ARR sales targets. You will identify, establish and develop relationships with new potential customers whilst working as part of a close commercial team to deliver the professionalism, consultation, and innovation that both Peak and our Customers expect. The role is based in Manchester, with a weekly presence in the office required. WHAT YOU'LL DO AT UIPATH - Responsible for increasing revenue for Peak by hitting & exceeding sales objectives each quarter, through net new logos within Peak’s ICP of retail space. - Identify, establish, and develop relationships with new potential customers. Learn about their needs and identify the opportunities where Peak can drive value. - Generate and manage net new sales opportunities via personal outbound efforts (networking, cold calls, emails, social selling, etc.). - Execute on an accurate weekly, monthly, quarterly forecast to rollup to management. - Work closely with the Marketing team to create marketing campaigns and convert those sales leads into profitable business. - Work closely with our Solution Engineering and Data Insights Team to bring pre-sales processes to life and inspire customers to start their Agentic AI journey. Crafting sales decks, materials, and narratives to drive a compelling story and narrative. WHAT YOU'LL BRING TO THE TEAM - Extensive experience selling SaaS end to end, including 3+ years experience of enterprise SaaS sales in complex cycles. - Experience in SDR / BDR role and/or the personal motivation to create your own pipeline as part of a wider opportunity-flow strategy. - Demonstrated experience consistently exceeding sales quotas in New Logo acquisition – you are a top performer no matter the environment, particularly with mid-sized and large enterprises. - Proven ability and desire to generate your own opportunities via personal outbound efforts. - Trained and experienced in customer-centric selling methodologies (MEDDPICC, BANT). - Experience developing relationships and working with a partner network throughout the sales cycle (particularly Regional SIs and Global SIs). - The ability to travel approximately 25-30% of the time to regional meetings with prospects, customers, channel partners, ecosystem/integration partners and field marketing events. - Experience and understanding of advanced analytics, machine learning and/or AI. - Experience selling to retailers. #LI-FF1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Poland Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Portugal Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Spain Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Germany Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Turkey, Istanbul Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Bulgaria, Sofia Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Duties and Responsibilities: Strategic Roadmap Ownership: Define and drive a multi-year, outcome-based roadmap that aligns with global business goals and North Star metrics. Market Intelligence: Lead comprehensive market research to identify emerging trends in AI and EdTech, ensuring our product strategy remains ahead of the curve. Monetization & Pricing: Own the pricing strategy for international markets. Conduct analysis to determine price floors and ceilings, and optimize monetization models to maximize LTV. Scientific & Data Leadership: Apply a scientific approach to product discovery. Analyze performance data to validate hypotheses and drive data-informed decision-making across the organization. Stakeholder Management: Act as a key partner for the Leadership Team, delivering clear, data-backed insights and recommendations that influence company-wide strategy. Team Mentorship: Lead, mentor, and scale a team of product managers, fostering a culture of accountability, growth, and high-quality PRD standards. Cross-functional Collaboration: Serve as the primary point of contact for Engineering, Data Science, and Design teams to prioritize features and resolve technical/business trade-offs. Qualifications and Experience: 5+ years of experience as a Product Manager in software development (SaaS, EdTech, or AI-driven products). Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical/scientific field. Proven ability to manage products using complex data analysis and scientific research methodologies. Expert knowledge of prioritization frameworks (e.g., RICE, WSJF) and experience building outcome-driven (not just feature-driven) roadmaps. Strong track record of writing high-quality PRDs and managing sprints in a fast-paced, agile environment. Experience leading cross-functional stakeholders and directly mentoring other product managers. Fluent English with the ability to articulate technical concepts to non-technical stakeholders clearly. Nice to Have: Academic background in Business (MBA/BBA) or completion of advanced product strategy programs (e.g., Reforge, Kellogg, or similar). Experience in building and scaling AI/ML-powered products . Background in Science or experience with academic/research-focused software. Experience managing products with millions of users across multiple geographical regions. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Zürich, CH 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. 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: Cairo, Egypt; India; Riyadh, Saudi Arabia; Amman, Jordan; Beirut, Lebanon Müller's Solutions is seeking a skilled WebMethods Developer for a short-term engagement lasting 2 months might be extended. This role is essential for enhancing our integration solutions and optimizing our existing systems. As a WebMethods Developer, you will work closely with our technical teams to design, develop, and deploy integration solutions that align with business objectives. Your expertise will facilitate smooth data flow between various applications while ensuring robust performance. Responsibilities: Design, build, and maintain integration solutions using WebMethods platforms. Collaborate with project managers and stakeholders to gather technical requirements for integration needs. Implement best practices in coding and integration strategies to enhance system efficiency. Troubleshoot and resolve issues related to existing integrations and provide timely fixes. Document integration processes and provide knowledge transfer to team members. Stay informed of updates and advancements in WebMethods technology to suggest improvements. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a WebMethods Developer, particularly in integration development. Strong understanding of WebMethods components, including Designer, Integration Server, and Trading Networks. Experience with web services (SOAP and REST) and message-oriented middleware. Familiarity with relation database management systems and SQL. Ability to work effectively under tight deadlines and in a fast-paced environment. Excellent communication skills and teamwork abilities. Preferred Qualifications: Experience with DevOps tools and practices. Knowledge of Agile software development methodologies. Relevant certifications in WebMethods or integration technologies are a plus. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Lagos, Nigeria Role Summary Renmoney is seeking a strategic, innovative, and experienced Product Manager responsible for the development, management, and strategic positioning of wealth management and private banking products, ensuring tailored solutions that grow assets under management, drive deposit mobilization, and meet clients' sophisticated needs. The Product Manager balances client-centric innovation with compliance, profitability, and competitive differentiation, supporting the bank’s growth agenda in premium and retail segments.​ Key Responsibilities Design, launch, and manage wealth management and private banking products including fixed deposits, bonds, commercial papers, and high-value savings accounts, tailored to individuals and SMEs.​ Conduct market research, assess customer needs, and analyze competitor offerings to inform product strategy and pipeline.​ Monitor product performance metrics (growth, adoption, profitability, cost of funds), regularly reviewing strategy to ensure AUM and revenue targets are achieved.​ Collaborate with digital, compliance, operations, and sales teams to ensure products are secure, scalable, and regulatory compliant.​ Support relationship managers and sales teams with training, tools, and product information, enabling them to drive growth and cross-sell across the bank's premium client base.​ Develop product roadmaps, prepare business cases, and manage regulatory submissions and approvals for new products and enhancements.​ Drive customer engagement initiatives, ensuring superior client experience and retention in private banking channels.​ Lead quarterly product reviews, ensuring internal process alignment and continuous improvement around client satisfaction and portfolio profitability.​ Requirements Bachelor’s degree (Business, Finance, Economics, or allied disciplines); professional certifications in wealth management/financial planning are advantageous.​ Minimum of 3–5 years’ experience in product development or relationship management, ideally in wealth/private banking or financial services within the Nigerian.​ Strong grasp of financial market trends, regulatory frameworks, and wealth management instruments relevant to microfinance and premium banking.​ Excellent analytical, communication, and stakeholder management skills. Proficiency in digital product analytics/tools is a plus.​ Demonstrated ability to deliver client-focused solutions and grow profitable product portfolios.​

Location: Washington, DC 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 Federal DoW/IC Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across DoW/IC agencies. You'll leverage your deep understanding of DoW/IC operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the DoW/IC market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within DoW/IC agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of DoW/IC procurement, including DFAR compliance, ITAR/EAR regulations, security clearance requirements, and agency-specific security protocols Build and maintain relationships with key decision-makers across DoW/IC agencies, becoming a trusted advisor on AI capabilities and implementation in classified and unclassified environments Develop and execute strategic account plans that align with mission requirements, operational needs, and modernization initiatives Coordinate closely with cleared cloud service providers and cleared system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet DoW/IC requirements, including classification levels and air-gapped environments Create and maintain sales playbooks specific to DoW/IC use cases, procurement processes, and security requirements Take a leadership role in growing our DoW/IC presence while maintaining hands-on engagement with key accounts Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements with proper security protocols You may be a good fit if you have: 7+ years of enterprise sales experience in the DoW/IC space, with a proven track record of driving adoption of emerging technologies Deep understanding of DoW/IC agency missions, operational challenges, and technology needs across classification levels Active security clearance (TS/SCI preferred) with ability to discuss capabilities in classified environments Demonstrated ability to balance strategic leadership with hands-on sales execution in high-security environments Experience navigating complex DoW/IC procurement processes, including knowledge of SEWP, CIO-SP3, GSA, and other relevant contracting vehicles Strong track record of exceeding revenue targets in the DoW/IC space Extensive experience with DoW/IC contracting vehicles, procurement mechanisms, and security compliance requirements Excellent relationship-building skills across all levels, from technical teams to senior agency leadership, including military and civilian leadership Proven ability to coordinate across multiple stakeholders, including cleared cloud providers, cleared system integrators, and security personnel Strategic thinking combined with attention to detail in execution, particularly regarding security protocols A passion for safe and ethical AI development, with the ability to articulate its importance in national security contexts 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: $380,000 — $450,000 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: New York, NY; United States - Remote; Philadelphia, PA; Washington, DC Workplace: remote We are seeking a motivated and results-driven Cloud Sales Specialist to help grow our Platform Prime customer base and increase revenue. The Prime Sales Specialist will play a pivotal role in driving North America sales through a mix of new Platform Prime customer acquisition and cross-selling into existing Platform Core clients. You will work closely with the sales and technical teams to communicate the value of Azul’s solutions to both technical and business stakeholders.   This is an individual-contributor, quota-carrying role that can be based remotely in the US. What You’ll Do (aka Responsibilities): Sales Strategy & Execution: Develop and implement strategies to generate new Prime business opportunities and achieve sales targets within assigned territories/accounts. Client Engagement: Actively engage with existing Platform Core customers to understand their unique challenges and business needs, providing Azul solutions. Sales Pipeline Management: Manage the entire sales cycle, from lead generation to close. Maintain a robust pipeline of opportunities and forecast accurately.  Build a 3X pipeline. Cross-functional Collaboration: Work closely with Sales Engineers, Marketing, and Customer Success teams to ensure prospects receive comprehensive, clear, and accurate product demonstrations, proposals, and support. Negotiation & Closing: Drive contract negotiations, while consistently closing business on a monthly and quarterly basis. Reporting: Maintain accurate records of sales activity, progress, and outcomes in Salesforce. What You’ll Bring (aka Experience and Education) 15+ years direct software sales experience Proven track record of direct sales of both on-premise and cloud-based software solutions into large enterprises, as well as SaaS centric companies Demonstrated experience in key verticals:  online retail, e-commerce, ad-tech, gaming and financial services Significant experience selling into the infrastructure space (OS, JVM, Container) versus the application space Confident experience working in close partnership with a Technical Sales Engineer Extensive experience selling technical products that require technical POCs Experience selling enterprise products based on Java-based Open Source, highly desired Undergraduate degree, or equivalent experience What You'll Bring (aka Skills and Competencies) Exceptional communicator, influencer and presenter Ability to Evangelize a new solution where there most likely is not an existing budget placeholder Demonstrated ability with Multi-Level selling Proficient in deal qualification methodologies, MEDDPICC preferred Progressive and proactive use of industry sales tools and systems Location New York, CT or New Jersey. 135-160k Base range D.O.E with a 300k on target earnings potential, UNCAPPED.

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 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: £260,000 — £630,000 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: Ciudad de México, México ¡Únete a Banco Plata! Acabamos de recibir nuestra licencia bancaria y estamos entrando en una etapa de crecimiento acelerado, innovación constante y oportunidades reales para quienes quieren construir algo grande. ¡Forma parte de la revolución financiera que está cambiando México! Al integrarte como Ejecutivo/a de Recepción serás responsable de brindar atención a visitantes y colaboradores, así como apoyo en actividades de recepción y administrativas para contribuir al buen funcionamiento de nuestras oficinas. Buscamos una persona activa, proactiva, organizada y con excelente actitud de servicio, habilidades de comunicación y facilidad para interactuar con personas de diferentes nacionalidades. Es indispensable contar con un nivel avanzado de inglés. El conocimiento del ruso será considerado un plus, pero no es determinante para el proceso de selección. Responsabilidades: Recibir y atender a visitantes y colaboradores de manera profesional y cordial. Brindar apoyo en las actividades de recepción y atención presencial. Proporcionar información y orientación a visitantes. Apoyar en actividades administrativas relacionadas con la operación diaria de la oficina. Mantener una comunicación efectiva y profesional con visitantes y colaboradores. Contribuir a mantener una experiencia de atención organizada y eficiente. Dar seguimiento a los requerimientos que surjan en recepción. Apoyar en las actividades necesarias para el buen funcionamiento del área. Requisitos: Experiencia en recepción. Inglés avanzado, indispensable. Conocimiento del idioma ruso deseable; será un plus. Buena presentación y habilidades de comunicación. Actitud de servicio y trato cordial. Persona activa, proactiva y con disposición para apoyar en las actividades del área. Organización, responsabilidad y atención al detalle. Facilidad para interactuar con visitantes de diferentes nacionalidades. Adaptabilidad y disposición para aprender. Prestaciones y beneficios adicionales Sueldo de $25,000 brutos mensuales. Bono anual. Ubicación y horario Base de trabajo: Torre Polanco, piso 1. Lunes a viernes de 8:00 a 17:00 hrs. No se labora los fines de semana. ¿Por qué unirte a Banco PLATA? Creemos en las personas antes que en los puestos. Aquí encontrarás un lugar donde tu esfuerzo se reconoce, tu crecimiento importa y cada logro se celebra en equipo. Somos una empresa que apuesta por el talento, impulsa nuevas oportunidades y acompaña tu desarrollo profesional en cada paso.