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Location: Hong Kong, China; Beijing, China; Singapore Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Regional Manager APAC 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. About the Role You will be responsible for building and leading a high-performing commercial function that drives growth by winning new regulated brokers and institutional clients, expanding existing relationships, and delivering a world-class client experience supported by accurate, data-driven forecasting and execution. Responsibilities: Revenue Plan & Forecast: New logos, expansion, retention; forecast accuracy target within ±10%. Territory & GTM: Segment by market maturity; define ICPs; coverage model (hunters vs RMs); partner strategy (primes, PSPs, IB/affiliate networks, ISVs). Team Leadership: Hire, ramp, coach, and performance-manage AEs, RMs, and Presales/TAMs; set career ladders; run enablement with Product. Pipeline Quality: Enforce qualification (SPICED/MEDDPICC), clean stage definitions, 3x coverage; lead weekly deal and forecast reviews. Deal Strategy: Multi-product packaging, pricing, rev-share; align with Compliance, Legal, Finance, and Product. Customer Experience & Churn: Drive NRR/GRR targets; QBR/MBR cadence; upsell/cross-sell motions; lead major escalations. Data Discipline: Salesforce hygiene; lead-to-cash dashboards; activation and time-to-volume; margin/DSO/bad debt visibility. Regional Inputs: Headcount plans, budgets, event ROI, strategic partnerships. 8–12+ years in institutional FX/CFD/crypto or trading tech sales/leadership across APAC. Hired and led multi-country teams; coached hunters and farmers; managed PIPs and presidents-club performers. Closed 6–7 figure multi-product deals; strong familiarity with FIX connectivity, WL/hosted models, and broker tech stacks. Salesforce power user with proven forecast rigor and dashboard creation. Language: Fluent English and Cantonese or Mandarin (required).

Location: Home based - EMEA Ubuntu Linux is one of the most widely used Linux distributions in the world today and one of the top contributing factors to its popularity is its wide availability and ease of installation.  Canonical, the publisher of Ubuntu Linux, is seeking a senior software engineer to lead an initiative to take the configuration and build of the Ubuntu Linux kernel to a new level of simplicity and automation to make it even easier to distribute to clients tailored to their specific system needs. We are looking for an industry veteran who has ‘been there, done that’ across a broad range of the software stack and is able to draw on that experience to guide this new effort.  You will be expected to take charge of the implementation from concept through delivery and strong leadership skills are a must along with a tenacious commitment to detail and strict adherence to project schedules. While this role does not require previous Linux kernel internals development experience (although that would be highly regarded), a more in-depth grasp of the build system beyond typing ‘make’ on the command line is essential.  Advanced git usage and kernel patching experience will also be critical to the role. Location: Home-based in the Europe, Middle East, or Africa regions. What the role entails Lead the design and implementation of an advanced automated Linux build control system Work closely with other engineering teams to deploy seamlessly into the Canonical ecosystem Have no fear in delving into the depths of kbuild, kconfig, and make to determine the optimal solution to issues faced Be eager to propose innovative solutions to kernel build roadblocks and drive acceptance to upstream What we are looking for in you Significant programming ability in Python, with strong C skills also highly regarded Demonstrated experience in patching and configuration of the Linux kernel.  A strong working knowledge of kconfig and git will be required. Ability to communicate effectively in English, both written and oral Solid background with popular open-source projects for creating custom Linux-based distributions such as Yocto or buildroot Strong grasp of git Nice-to-have skills Javascript or Golang programming ability Experience in writing CLI tools, including interactions with REST APIs Solid background in CI/CD and process automation Prior experience developing with software packaging formats, with direct Ubuntu/Debian/Snap experience being highly regarded What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Vilnius, Lithuania Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Marketing Analyst to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a detail-oriented and analytical Marketing Analyst to join our team. You will monitor market and aviation trends, analyze marketing and loyalty data, measure campaign impact, and provide actionable insights to support business growth. The ideal candidate combines strong analytical skills with marketing knowledge and can translate data into strategic recommendations. Key Responsibilities Monitor economic and aviation market trends (flight delays, cancellations, airline performance) and compare them with internal data. Monitor and forecast marketing trends; highlight opportunities for new campaigns, partnerships, and initiatives. Analyze marketing and loyalty data, measure campaign impact, prepare reports, provide data-driven insights (Excel, Qlik, Power BI, etc.), and track results against targets. Develop metrics to assess the effectiveness of marketing, advertising, and communication programs. Identify customer behaviors, decision-making patterns, and factors influencing trust and brand choice in the legal/aviation compensation sector. Provide recommendations to the marketing and sales team, and support the development of new initiatives aimed at improving customer acquisition and retention. Collaborate with other team members on automated reporting and new data models. Bachelor’s degree in Marketing, Business Administration, Economics, Statistics, Data Science, or related field; Master’s degree is a plus. Minimum 2–3 years of experience in marketing analytics, business analysis, or a related role. Proficiency in Excel, Power BI, Qlik, Tableau, or other data visualization/analytics tools. Strong understanding of market research, consumer behavior analysis, and trend monitoring. Experience measuring marketing campaign performance and providing actionable insights. Ability to develop metrics, automated reports, and data models, and collaborate with cross-functional teams. Excellent communication, problem-solving, and analytical skills. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? As a MidMarket Account Executive, you’ll be at the forefront of growth. You’ll own both sides of your territory: winning new logos and growing a portfolio of existing customers to realize the full power of Fin. We’re building a world-class sales organization that is fast, ambitious and driven, and the road ahead is very exciting. This is a seat at the center of the biggest shift selling has seen in decades. You’ll be selling AI agents to fast-growing businesses rethinking how their entire customer experience works, so the conversations are strategic, technical and interesting. You’ll also use AI every day to run your own territory, from qualification to research to how you run a deal. You won’t just talk about the technology, you’ll work with it. At Fin, we do sales differently. We don’t just pitch; we partner. We’re asking customers to make Fin the heartbeat of their business. That takes salespeople who can think bigger, move faster and win with integrity. We invest deeply in every seller’s growth, and development is built into how we promote, learn and lead. In a high-velocity environment that rewards ownership, creativity and ambition, you’ll find room to stretch, influence and make your mark. What will I be doing? Lead the growth and adoption of Fin across your MidMarket territory, with both new prospects and existing customers Manage the full new business sales cycle, from prospecting to close, through a highly consultative approach Own and grow a portfolio of existing customers, driving expansion, retention, renewals and long-term loyalty Engage executives and operators to uncover pain points, position AI-driven solutions and tie Fin directly to business impact Build data-backed territory and account plans that target new logos, upsell, cross-sell and multi-business-unit expansion Manage a high volume of deals, including complex six-figure opportunities across new and existing business Articulate Fin’s value and differentiation using Command of the Message and MEDDPICC. If these are new to you, you’ll be trained on them Run your business with discipline through QBRs, territory planning, and weekly and monthly forecasting across new business and renewal pipeline Track and communicate the metrics behind your growth, including retention, adoption and platform expansion Partner with Sales Leaders, Sales Engineers, Customer Success and the wider solutions team to win flagship logos and grow strategic accounts Bring the voice of the customer to R&D, Product and Marketing, turning real customer needs into product innovation and GTM alignment Stay at the cutting edge of AI using the best internal tooling and enablement in the market Raise the bar for the team by mentoring peers and sharing winning plays What skills do I need? 4+ years in a quota-carrying closing role selling SaaS or DBaaS, with a track record of meeting and exceeding quota Experience winning new business and managing a book of existing customers through retention, renewals and expansion. Strong experience in one with a clear appetite for the other is also welcome Experience, passion and success in outbound prospecting Proven success navigating procurement, complex renewals and senior decision makers Experience selling products with technical complexity or thorough implementation AI fluency or a deep interest in AI tooling, with the ability to turn technical capability into customer value Energized by working in a fast-moving, evolving organization across inbound, outbound and existing customer opportunities Bonus skills and attributes Experience selling AI-powered products Sharp written and verbal communication, adapted to senior stakeholders and technical teams alike A trusted-advisor mindset, building long-term partnerships across multiple levels of complex organizations Demonstrated leadership and influence within your team and across functions A growth mindset, intellectual curiosity and ambition *Proof of eligibility to work in the United States is required. The OTE range for candidates within the Greater Chicago Area is $203,500 - $243,058. Actual OTE pay will depend on a variety of factors such as education, skills, experience, location, etc. The OTE pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Bangkok, Thailand Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Avaloq Business Analyst/Functional Leads 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. About the Role Act as the bridge between business stakeholders and technical teams, ensuring requirements are clearly defined and understood. Gather, analyze, and document business and functional requirements for Avaloq implementation or enhancement projects. Support solution design and align functional specifications with system capabilities. Facilitate workshops, training sessions, and provide subject matter expertise to ensure successful project outcomes. Key Responsibilities Lead requirement gathering and functional analysis sessions with stakeholders. Translate business processes into functional specifications and ensure alignment with the Avaloq platform. Support test planning, test case design, and validation of system changes. Act as a functional lead in project streams, ensuring deliverables meet business objectives. Provide ongoing support and guidance to developers and testers during the project lifecycle. Minimum 3–5 years of experience as a Business Analyst or Functional Consultant, ideally within banking or financial services. Solid understanding of core banking processes such as payments, securities, client lifecycle management, and regulatory reporting. Experience with Avaloq parameterization or Avaloq projects is highly desirable. Strong analytical and problem-solving skills with the ability to translate business needs into functional requirements. Excellent communication skills in English; ability to work with senior stakeholders and cross-functional teams. Qualifications University degree in business administration, finance, computer science, or arelated field. Avaloq certification (ACP/ACFP) is an advantage. Previous experience in wealth management, private banking, or financial services consulting is beneficial. Why Join Us Exciting international projects: Work with global teams and clients in the fintech and banking domain. Professional growth: Gain hands-on experience in advanced Avaloq development and financial technology. Long-term opportunity: Initial 6-month contract with a strong likelihood of extension. Collaborative environment: Join a supportive, high-performing team that values innovation, efficiency, and knowledge sharing. Flexibility: Enjoy the benefits of a fully remote role while working in a dynamic, global setting.

Location: Bangkok, Thailand Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Avaloq Developers 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. About the Role The successful candidates will be responsible for designing, developing, and implementing software changes within the Avaloq system through parameterization, while collaborating closely with business and technical stakeholders. Key Responsibilities Develop and customize functionality within Avaloq through parameterization. Translate business requirements into technical designs and implementations. Perform unit testing and ensure the quality of software modifications. Collaborate with business users to define project goals, map processes, and provide technical solutions. Support continuous improvement initiatives and contribute to knowledge sharing within the team. Minimum of 2 years’ experience in Avaloq development. Strong knowledge of Oracle databases and PL/SQL. Experience in requirements engineering and solution design. Excellent communication skills and proficiency in English. Knowledge of wealth management or investment banking products is an advantage. Avaloq Certification (ACCP) is a plus. Qualifications Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related field. Additional software or programming experience beyond Avaloq parameterization is considered beneficial. Why Join Us Exciting international projects: Work with global teams and clients in the fintech and banking domain. Professional growth: Gain hands-on experience in advanced Avaloq development and financial technology. Long-term opportunity: Initial 6-month contract with a strong likelihood of extension. Collaborative environment: Join a supportive, high-performing team that values innovation, efficiency, and knowledge sharing. Flexibility: Enjoy the benefits of a fully remote role while working in a dynamic, global setting.

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 Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE  We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO  - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals WHAT YOU’LL NEED - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $320,000 — $485,000 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: Bangalore Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: Wrike is seeking a highly adaptable Senior Product Manager to join our global product organization. As a strategic leader, you will own the end-to-end lifecycle of your product area, driving measurable business impact and solving complex problems for millions of users. We are looking for a versatile generalist who is comfortable tackling diverse challenges as business needs evolve, but who is ready to immediately dive into a high-impact, transformative domain: AI-driven Work Intake . Your Impact: Deliver Innovation: Validate and ship solutions that revolutionize how work flows into systems, saving customers time and boosting work quality for both administrators and end-users. Evolve Wrike's work intake experience through platform and agentic capabilities within your first 6 months. Drive Discovery & Vision: Deeply understand customer workflows and underlying business pains to uncover emerging needs. Paint a compelling product vision and propose pragmatic, innovative solutions — whether through advanced AI, platform capabilities, or a combination of both — that best solve the core problem. Adapt & Scale: Act as a flexible product leader capable of pivoting to new, critical product domains as our overarching business strategy evolves. Your Qualifications: 4+ years of hands-on experience in B2B SaaS Product Management, owning customer-facing digital products from ideation to launch. Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences. Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs. Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features. Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization. Advanced English language skills (written and spoken), with the ability to communicate complex concepts clearly to diverse stakeholders. Standout Qualities: Experience in the enterprise collaboration, project management, or work management domain. Proven experience building and delivering AI or LLM-driven product experiences to market. Demonstrated ability to balance the complex configuration needs of system administrators with a frictionless experience for end-users. Team Dynamics: You will operate within a core "Product Trio" model (Product, UX, and Engineering) to guide a tight-knit Scrum team of 6-8 engineers and QA to deliver the product innovations. You will partner heavily across the organization, pulling in expertise from specialized roles such as AI/ML engineers, Data Scientists, Product Analytics, and Go-to-Market teams to ensure successful launches. You will have direct access to enterprise customers and admins to conduct continuous research, test early prototypes, and validate hypotheses through tight feedback loops. The opportunity to operate at the bleeding edge of AI and work management, blending complex, enterprise-grade capabilities with modern, intelligent user experiences. Benefits & Perks: 10 days of National and Festival Holidays per year (eight fixed, two flexible) 18 days of paid vacation per year 14 days of sick leave with a medical certificate per year 5 uncertified sick days per year Group Medical Plan: Coverage for employees, spouse, children, and parents/in-laws for Rs 5,00,000. Free health checkup for employees Personal Accident Insurance: Rs 50,00,000 Term Life Insurance: Rs 50,00,000 Up to 26 weeks of paid maternity leave for the first two children 4 weeks of paid parental leave 2 days off for volunteering with nonprofit charities Broadband/Internet Reimbursement: INR 1500 per month Full-stocked pantry and complimentary lunch Hybrid work model What’s Next? Interview with a Recruiter Hiring Manager Interview Product Case Study / Technical Interview Cultural Fit Interview Final interview with Product Director Your recruitment buddy will be Tripti Sachan , Senior Recruiter. #LI-TS1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: New York City, NY; New York City, NY | Seattle, WA; 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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience 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 GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model 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: Paris, Remote Workplace: remote As a Key Account Manager (KAM), you play a decisive role in the growth of 360Learning's business and you will join a team of 5 KAMs (Mid-market). You will be in charge of around 100 accounts (existing customers from 100 to 2,500 employees).   At 360Learning, the KAM role is 80% sales oriented and your goal is to develop your portfolio and generate growth. But, you will not work alone! Client Success Partners and internal experts (digital pedagogy, platform structuring, IT) are in charge of the client’s project monitoring and execution. Collaborating with these teams will be instrumental to succeed in your upsell actions.    We are eager to retain the best talent in our teams, and we will encourage internal moves after 2-3 years of continuous success to build together fulfilling career paths. This KAM Mid-role offers the possibility of moving to a KAM Large position (existing customers from 2,500 to 10,000+ employees). Within 1 month, you will: Become a Trello expert and get familiar with our product Learn to navigate Convexity , our working environment Meet the different teams at 360Learning Finalize your onboarding Within 3 months, you will: Take full ownership of your portfolio of customers Map accounts and define an account growth strategy, prioritize your portfolio (tiering) Work closely with our Client Success Partners to gather relevant information about our existing clients, in order to generate upselling Prepare account reviews with our clients in order to identify areas of development Conduct presentations and demonstrations of 360Learning Complete the handover of your portfolio and close 30-50 K€ of new ARR in your first quarter (depending on start date) Within 6 months, you will: Ensure accurate reporting of the activity with your coach to optimize the forecast Be proactive in order to improve business processes Write complex business proposals and conduct business negotiations Close 65-85 K€ of new ARR in your second quarter (depending on start date) Within 12 months, you will : Prepare, anticipate and ensure the renewal of clients’ contracts Define action plans to generate upsells Manage the entire business relationship with the clients Exceed your targets and be on track to reach the yearly target The Skills Set 3+ years of experience in an Account Manager or sales-related function (revenue generation with a portfolio of clients) Previous experiences working in the SaaS industry Experience in a fast-growing environment such as start-up / scale-up, which requires agility and responsiveness Active listening skills and a team player mindset Excellent written and verbal communication skills Fluent French and excellent English (B2+) proficiency Enthusiasm for our culture explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision what's it like to join 360Learning through our onboarding journey: https://360learning.com/blog/360learner-journey/ & Convexity Culture: https://bit.ly/Convexity_360L 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting Interview with our Key Account Manager Mid Market Coach Case Study Meeting with our Key Account Manager Mid Market Coach and our VP Mid Market EMEA Clarification Meeting with our VP Mid Market EMEA Culture Fit Meeting with our Chief Sales Officer Offer! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Vilnius, Lithuania Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform. Key Responsibilities Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs. Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance. Collaborate with cross-functional teams to integrate AI models into production environments. Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation. Implement and maintain scalable, secure, and cost-efficient solutions on AWS. Ensure high availability and fault tolerance of Kafka-based streaming data systems. Develop and maintain Python-based applications and scripts to support AI and data processing workflows. Contribute to the design and development of new AI-driven features to improve user experience. Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI engineering, data engineering, or a similar role. Strong proficiency with Apache Kafka for building and maintaining data streaming pipelines. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS). Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch). Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools. Familiarity with other programming languages (e.g., Java, Scala) is a plus. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Qualifications Experience with real-time data processing and event-driven architectures. Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Previous work in the travel or fintech industry. Understanding of GDPR and data privacy regulations. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Commercial Account Executive at Ramp, you are a proven hunter & sales closer with a track record of quota attainment and overachievement. We believe strongly in our value proposition of aligning incentives with our customers and you will bring it to life through the sales process with C-Level executives and key decision makers. As a member of the team, you will also have the opportunity to help build the sales engine and define the sales strategy that fuels the growth of the company! WHAT YOU’LL DO - Drive revenue for Ramp, owning the entire sales cycle through close - Develop strategies for closing opportunities within your assigned territory - Leverage sales methodologies to uncover customer needs and pain points - Articulate Ramp’s value proposition by using the appropriate sales qualification standards - Own sales activity and monthly revenue forecasting in Salesforce - Collaborate with product, design, and engineering teams to incorporate customer feedback WHAT YOU'LL NEED - Minimum 2 years of quota-carrying direct SaaS sales experience in a full cycle closing role with strong prospecting, qualifying, negotiating, and closing skills - Experience closing 10-15 deals a month with an average deal size of 30K in ACV - Ability to discuss Ramp's value proposition with C-level executives, finance teams, and decision makers - Experience with outbound prospecting and conducting product demonstrations - Consultative sales approach and comfortable leveraging analytical & quantitative skills - Consistent track record of hitting or exceeding sales targets in a fast-paced environment - High adaptability and understanding of change within the evolution of a startup - Excellent verbal and written communication skills NICE TO HAVES - Experience selling financial services BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems 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: Spain, Remote Workplace: remote As a Client Success Partner (CSP) within the Enterprise team, you will support our largest clients in their digital training strategy through the 360Learning platform.    Your mission is to build a strong relationship with the HR executives (CHRO, Chief Learning Officer & Digital Learning Manager) of our clients to develop the usage, adoption & impact of our solution.    Given the complexity of Enterprise clients, you will act as a true facilitator to ensure the renewal of the clients by :   - coordinating the different 360Learning resources (technical, pedagogical,...) - empowering the client with the Enterprise positioning and vision provided by our solution    Ultimately, you will ensure the renewal or signing of new contracts for accounts listed in your portfolio. Within one month, you will: Master our product and Convexity corporate culture Familiarize yourself with the processes and tools used by our Client Success Partner (CSP) team Participate in your first customer meetings with other CSP’s from the team Within three months, you will: Take over a portfolio of existing customers, for the largest accounts (Enterprise accounts) at 360Learning Start new projects with prospects and clients Within six months you will: Define the learning transformation roadmap with the client and identify the resources needed to achieve them Define a retro-planning of the initiatives on the solution and vouch for it Identify and document customer use cases Develop a relationship of trust between the client and 360Learning, particularly by having direct contact with Top Management teams Work with the Account Managers to identify new project opportunities to develop the account (up-selling and cross-selling opportunities) Within twelve months, you will: Reduce churn by identifying customers at risk and implementing a remedial action plan Identify strong leaders & advocates within the client’s team Develop and share good business practices with the entire Client Success team The Skills Set 3+ years of experience as a Client Success Manager or HR/Learning/Change Management Consulting or Digital Learning Manager Ability to lead complex and impactful projects in/for Enterprise accounts (more than 2000 employees) Proven knowledge of the SaaS B2B industry is a plus Proven interest in the digital industry, education, and e-learning in particular Excellent interpersonal and communication skills Fluent French, and excellent English proficiency (B2 minimum) What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies Balance: Flexible hours, full remote work possible anywhere in Spain 🏠. Working remotely from outside Spain is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity.Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Client Success Partner from our Enterprise team Case Study with our Director of Customer Success and our Customer Success Entreprise Coach Clarification Meeting with our Customer Success Operations Manager Culture Fit Meeting with our Chief Customer Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Paris, Remote Workplace: remote As a Client Success Partner (CSP) within the Enterprise team, you will support our largest clients in their digital training strategy through the 360Learning platform.    Your mission is to build a strong relationship with the HR executives (CHRO, Chief Learning Officer & Digital Learning Manager) of our clients to develop the usage, adoption & impact of our solution.    Given the complexity of Enterprise clients, you will act as a true facilitator to ensure the renewal of the clients by :   - coordinating the different 360Learning resources (technical, pedagogical,...) - empowering the client with the Enterprise positioning and vision provided by our solution    Ultimately, you will ensure the renewal or signing of new contracts for accounts listed in your portfolio. Within one month, you will: Master our product and Convexity corporate culture Familiarize yourself with the processes and tools used by our Client Success Partner (CSP) team Participate in your first customer meetings with other CSP’s from the team Within three months, you will: Take over a portfolio of existing customers, for the largest accounts (Enterprise accounts) at 360Learning Start new projects with prospects and clients Within six months you will: Define the learning transformation roadmap with the client and identify the resources needed to achieve them Define a retro-planning of the initiatives on the solution and vouch for it Identify and document customer use cases Develop a relationship of trust between the client and 360Learning, particularly by having direct contact with Top Management teams Work with the Account Managers to identify new project opportunities to develop the account (up-selling and cross-selling opportunities) Within twelve months, you will: Reduce churn by identifying customers at risk and implementing a remedial action plan Identify strong leaders & advocates within the client’s team Develop and share good business practices with the entire Client Success team The Skills Set 3+ years of experience as a Client Success Manager or HR/Learning/Change Management Consulting or Digital Learning Manager Ability to lead complex and impactful projects in/for Enterprise accounts (more than 2000 employees) Proven knowledge of the SaaS B2B industry is a plus Proven interest in the digital industry, education, and e-learning in particular Excellent interpersonal and communication skills Fluent French, and excellent English proficiency (B2 minimum) What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent Balance: Flexible hours, full remote work possible anywhere in France 🏠. Working remotely from outside France is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Client Success Partner from our Enterprise team Case Study with our Director of Customer Success and our Customer Success Entreprise Coach Clarification Meeting with our Customer Success Operations Manager Culture Fit Meeting with our Chief Customer Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Dubai, United Arab Emirates Mira construction is seeking an experienced Construction Structural Engineer The work-format: -Head office supervision Responsibilities: Report to the Resident Engineer and assist in supervising the construction of structural-related works. Coordinate the activities with the other engineers and members of the construction supervision team. Review of shop drawings, design proposals, method statements and other activities. Coordinate with design engineers for resolution of related issues. Maintain the daily diary and the daily reports by the inspectors. Direct, assist and monitor the performance of the inspectors and surveyors as applicable. Convene and chair special meetings with the service authorities, the contractor, subcontractors and other parties related to his work. Ensure accuracy and completeness of records. Ensure safety goals are achieved on the project and oversee implementation of safety procedures on the project. Prepare / Assist in the preparation of Weekly and Monthly progress reports. Ensure correctness and completeness of ‘as-built’ drawings within his line of work. Keep necessary records and as-built records and take charge of the handing over of the structural works to the respective service authorities and assist the contractor to obtain necessary final clearance. Requirements Bachelor's degree in Civil or Structural Engineering Minimum 8 years of experience in structural design and construction, with a strong focus on buildings. Knowledge of local Authority standards and regulations is essential. Proficiency in utilising CAD, Revit and other PC software packages associated with structural modelling, analysis and design. Experience working in construction field in UAE for minimum 5 years. English level proficiency. Benefits Competitive salary; Official UAE employment status; Comprehensive medical insurance coverage; Note: If your resume aligns with our requirements, our recruitment team will reach out to you for an initial interview. If, for any reason, your application is not selected, we sincerely appreciate your interest in joining Mira Construction. We carefully consider all applications and will contact the most suitable candidates for an interview with our recruitment team and, subsequently, an interview with the Mira Construction team. Thank you for considering a career with us.