Вакансии

Location: Riyadh, Saudi Arabia; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; Cairo, Egypt The Project Manager will lead and manage railway safety and inspection activities for key railway operation and maintenance projects across Saudi Arabia. The role requires extensive experience in railway systems focusing on safety compliance, technical inspection, accident investigation, and regulatory oversight, ensuring the highest standards of railway operation safety. Responsibilities: Conduct scheduled supervisory visits and technical inspections at major railway projects (e.g., Haramain High-Speed Railway, Riyadh Metro, Etihad Rail). Lead on-site investigations immediately following railway accidents or incidents. Prepare and submit detailed monitoring and investigation reports within prescribed timelines (usually within two weeks). Review, update, and contribute to railway policies, regulations, and procedural documents as requested by regulatory authorities. Participate in meetings with railway operators and government transport authorities, both remote and in-person. Verify operator compliance with safety certifications, operating licenses, and regulatory requirements during inspections. Provide continuous technical support and respond promptly to queries from the Authority staff between site visits. Ensure all inspection and investigation activities strictly comply with official safety standards and protocols. Requirements Minimum of 20 years’ experience in railway systems, safety, operation, and maintenance (O&M). Bachelor’s degree in Engineering, Safety Management, or related technical field. Master’s degree is preferred. Proven experience conducting technical investigations of railway accidents or incidents. Hands-on experience with railway operation, maintenance protocols, and safety standards. Prior experience working on railway projects in Saudi Arabia or GCC countries is highly desirable. Strong knowledge of international best practices for railway safety and inspection.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Portfolio Manager San Diego, CA We are seeking an experienced leader with expertise in portfolio management to join our Strategic Portfolio Management (SPM) team within the Program Management Office at PlayStation. The Staff Portfolio Manager is responsible for developing and managing processes and procedures to effectively lead the portfolio management capability. This includes prioritizing and executing the portfolio, as well as monitoring and reporting on its overall health and status. This position has a reliance on a matrix of executives and function leaders to advance the strategic portfolio goals and objectives according to commitments, schedules and measurable outcomes. Given the inter-departmental dependencies and shared resources in delivering projects, the position serves within a complex accountability structure.  The ideal candidate is a highly responsible, self-directed individual who can work effectively in a matrixed environment. Responsibilities: Portfolio Management Develop and maintain Portfolio Management standards, processes, tools, and templates. Communicate portfolio information to a wide variety of audiences, including different job levels and functional areas. Maintain the portfolio program and resource capacity models. Understand key alignments and interdependencies across programs within portfolio, partnering with Platform Business leaders to address cross-initiative issues. Act as steward for change management within top priority initiatives, as defined by portfolio governance. Continuously improve portfolio management processes based on feedback from key stakeholders. Portfolio Analytics and Reporting Build and maintain the processes for data collection to drive portfolio reporting capabilities and data-driven decisions. Provide analysis on the portfolio and create reports for senior management. Ensure reporting aligns with portfolio management best practices and tracks the overall health of the in-flight program portfolio. Develop and evolve the portfolio resource planning and tracking models as needed. Intake and Prioritization Develop a program intake and prioritization process, including prioritization criteria models and support for reviewing new requests throughout the year. Facilitate the project intake and prioritization process, ensuring alignment with annual business planning and strategic priorities. Continuously update intake criteria to understand the impact of program additions or changes on resources, capacity, sequencing, and delivery. Understand interdependencies across programs and initiatives. Governance Develop and facilitate portfolio governance processes, including operational frameworks and cadences to drive standardization and promote active governance of the portfolio. Qualifications: 12+ years’ direct or related work experience leading complex program portfolios in gaming, technology, consumer electronics, or related field Bachelor’s degree in related field or equivalent experience Expertise in portfolio management, including tools and methodologies Highly organized, dedicated, team player that takes initiative and can influence outcomes autonomously in a matrix organization Excellent communication and presentation skills, capable of successfully communicating with all levels of the organization Strong interpersonal and stakeholder management skills Ability to work in a fast-paced environment and manage multiple priorities Strong analytical, problem-solving skills Experience working in a global company and team preferred. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $173,000 — $259,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is the global fintech powerhouse behind the world’s largest proprietary payments infrastructure. Founded in 2009, Unlimit operates across 17 global offices with 700+ experts, seamlessly integrating 1,000+ payment methods into a single platform. From London to São Paulo, we empower businesses to scale across borders with a unified suite of financial tools — including payment processing, alternative payment methods, multicurrency business accounts, card issuing, banking-as-a-service, and crypto on- and off-ramps. Our mission is to break down financial barriers and enable seamless money movement across borders. We give forward-thinking businesses the tools to accept, send, and manage payments effortlessly, wherever they operate.   Summary:   We are looking for a Lead Oracle Developer to design, optimize, and evolve Unlimit’s enterprise-grade Oracle data platforms that power our global financial systems. You will lead database design and performance initiatives across OLTP and OLAP environments, ensuring scalability, reliability, and seamless integration with data pipelines and AI-driven analytics.     What you will be doing: Lead Oracle database development across high-volume OLTP and OLAP environments. Design, develop, and optimize complex Oracle SQL and PL/SQL solutions for mission-critical applications. Architect scalable database schemas, packages, procedures, functions, triggers, and data models. Drive database performance tuning using execution plans, indexing strategies, partitioning, statistics management, and Oracle diagnostic tools (AWR, ASH). Plan and coordinate complex database releases while ensuring high availability and minimal production impact. Lead a team of Oracle developers, setting technical direction, reviewing code, mentoring engineers, and promoting engineering best practices. Establish standards for database development, testing, deployment, documentation, and code quality. Collaborate closely with backend engineers, DBAs, data engineers, platform teams, and product stakeholders to deliver reliable data solutions. Support production systems by investigating and resolving performance bottlenecks, database incidents, and scalability challenges. Partner with analytics and AI teams to enable efficient data pipelines and modern data architectures. Drive automation of database development, testing, and deployment through CI/CD and Infrastructure-as-Code practices. Continuously improve database reliability, maintainability, and development processes.     Qualifications: 6+ years of professional experience in Oracle SQL and PL/SQL development, ideally at or above OCP (Oracle Certified Professional) level. Solid understanding of OLTP and OLAP systems, including design, performance optimization, and maintenance. Proven experience developing and supporting 24x7 high-availability systems. Strong skills in query tuning, indexing, partitioning, and performance diagnostics using AWR/ASH or equivalent tools.Experience leading or mentoring a team of developers (2+ people).Proficiency with Git for version control and release management.Structured analytical thinking and attention to detail. Bachelor’s degree in Computer Science, Engineering, or a related IT field. English proficiency (B2 or higher) for effective collaboration in a global environment.   Nice to have: Knowledge of data warehouse design principles and ETL integration. Familiarity with AI or analytics workloads that leverage Oracle or hybrid data architectures. Experience with automation, CI/CD pipelines, and Terraform for database provisioning. Understanding of PostgreSQL or cloud-managed databases (e.g., Aurora, RDS). Proven ability to collaborate across teams to resolve production performance and scalability challenges. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

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: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance the intelligence powering the advertiser experience on Reddit. In this pivotal leadership role, you will be responsible for defining and implementing the next generation of foundational data science solutions, leveraging expertise in statistics, econometrics, machine learning and/or other quantitative methods to optimize Reddit's Ads marketplace. You will partner closely with Analytics Engineering to ensure our underlying data systems are continuously upleveled to support advanced analysis and modeling at scale. You will be a strategic partner, collaborating closely with Product, Engineering, and Business leaders to establish the long-term vision for measurement, prediction, and optimization. As a thought leader, you will champion scientific rigor, causal inference, and economic modeling, while providing deep mentorship to the broader team. If you are passionate about applying foundational quantitative science to solve complex, high-impact business problems, join us in shaping the future of Reddit ads. What you’ll do Define the future of Ads Data Science: Own the design and long-term evolution of our core Ads Data Science solutions and infrastructure, building for the next several years of continued scale, revenue growth, and relevance. Strategic leadership & scientific roadmap: Identify fundamental gaps and opportunities in our current systems (including platform, auction, targeting, and full-funnel relevance models). Lead the strategic design and scientific roadmap for new solutions to significantly improve Advertiser ROI, User experience, and Reddit revenue. Drive end-to-end impact: Take end-to-end ownership of complex problem domains such as full funnel acceleration, advertiser lifetime value (LTV), and developing advanced predictive and causal frameworks that power Reddit’s strategic investments. Establish scientific standards: Define and codify best practices for large-scale statistical modeling, economic analysis, causal inference, offline model evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data science and engineering teams. Technical deep dive & authority: Be the undisputed domain authority for data scientists, engineers, and product managers on complex problems involving large-scale behavioral data, foundational models for strategic insights, and the economics of marketplace dynamics. Translate ambiguity into outcomes: Influence the design and definition of core business and performance metrics, robust measurement methodologies, and collaborate deeply with cross-org XFNs to align on strategic goals and translate insights into tangible action. Influence and uplevel the organization: Lead technically minded peers and mentor senior data scientists, influencing technical and statistical direction across the entire product and engineering organization, and championing innovation in ad systems through advanced quantitative techniques. Requirements Demonstrated expertise in at least one of the following: ads marketplace understanding, auctioning/bidding, ads creative & format evaluation, measurement & experimentation at scale Master's or Ph.D. in Economics, Statistics, Computer Science, Operations Research, or a related quantitative discipline For M.S. holders: 12+ years of industry experience in applied science, data science, or machine learning engineering roles For Ph.D. holders: 8+ years of relevant experience applied science, data science, or machine learning engineering roles Advanced proficiency in statistical programming (Python or R) and SQL Experience with statistical analysis, economic modeling, foundational machine learning and/or optimization techniques Strong understanding of experimental design, causal inference, or A/B testing methodologies Exceptional problem-solving and communication skills, with a track record of influencing product and engineering partners Experience working in fast-paced, ambiguous environments with cross-functional teams Proven experience in influencing large (500+ engineers/data scientists) organizations on technical direction, statistical rigor, and machine learning best practice Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $268,000 — $365,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. We are looking for a Senior Engineer with deep agentic development experience and Java/Kotlin expertise to design and build the agentic backend layer powering Unlimit’s global financial platform. You will not just write backend services using your harness. You will design AI agents that generate, operate, validate, monitor, and evolve backend services. This role is for engineers who understand that the future of software is Human + AI co-creation, and soon — AI-to-AI collaboration. What You’ll Be Doing At Unlimit, agentic engineering is how we build software. AI agents are the primary execution layer of our engineering organization, while engineers provide the architecture, direction, constraints, and judgment that make autonomous development possible. You will orchestrate AI agents that design, implement, test, refactor, and maintain production-grade Java and Kotlin systems . Manual coding is not part of our engineering model – software implementation is performed by AI agents. Your deep expertise in Java, Kotlin, and backend engineering remains essential: you must understand architectural trade-offs, evaluate generated implementations, identify subtle defects, and ensure production-grade performance, security, and reliability. You will translate complex engineering challenges into agent-executable work, establish clear specifications and acceptance criteria, and coordinate parallel development workflows. You own the engineering decisions and outcomes, while agents execute the implementation. You will engineer the environment in which agents operate. This means building agent-native development workflows , maintaining machine-readable architecture and documentation, defining reusable skills and tools, and creating the context infrastructure that enables agents to navigate large codebases, make informed decisions, and execute complex tasks autonomously. Repositories, APIs, development environments, and engineering processes must be designed for machines as first-class participants. You will establish continuous, automated verification across the entire software lifecycle. AI-generated implementations must be validated through deterministic tests, architectural constraints, security controls, and regulatory requirements, including PCI DSS and financial compliance standards. You will design feedback loops where agents detect failures, investigate causes, correct implementations, and independently verify results, with appropriate human oversight for high-risk decisions. Your work will extend beyond development into agent-driven operations and production reliability . You will build systems that enable agents to understand runtime behavior, investigate incidents, identify performance bottlenecks, and propose or execute controlled remediation. Observability, operational tooling, and infrastructure will become interfaces through which intelligent systems safely interact with our global payment infrastructure. You will collaborate across engineering, platform, security, and data teams to build a coordinated ecosystem of specialized agents , sharing capabilities, context, and execution standards. You will continuously challenge traditional engineering practices, eliminate unnecessary human coordination and repetitive work, and push the boundaries of what a small team of exceptional engineers can deliver. Qualifications You Will Bring An agent-native engineering mindset. You see AI agents as the primary execution layer of software engineering, not coding assistants. You are comfortable working in an environment where manual coding is prohibited, and your value comes from architecture, specifications, orchestration, verification, and engineering judgment. Proven experience with autonomous agentic development. You have built production-oriented engineering workflows using Claude Code, OpenAI Codex, or comparable platforms, leveraging parallel agents, subagents, reusable skills, hooks, MCP servers, and automated execution pipelines. Mastery of specification-driven development (SDD). Practical experience with methodologies and frameworks such as GitHub Spec Kit, BMAD Method, or equivalent approaches that transform business requirements into structured specifications, executable plans, and independently verifiable agent tasks. You understand how to maintain alignment between requirements, architecture, implementation, and tests. Strong context engineering capabilities. You know how to structure repositories, engineering knowledge, agent instructions, and persistent context using mechanisms such as AGENTS.md, CLAUDE.md, reusable skills, and machine-readable documentation. You understand context-window management, progressive disclosure, retrieval strategies, context compaction, and long-running agent execution. Experience orchestrating multi-agent engineering workflows. You can decompose complex initiatives into parallel workstreams, coordinate specialized agents, manage dependencies and isolated execution environments, and establish reliable integration and verification processes. You understand when agent autonomy creates leverage and when additional orchestration introduces unnecessary complexity. Hands-on experience with frontier reasoning and coding models. You understand the capabilities and limitations of Claude, GPT/Codex, and comparable models, including model selection, reasoning effort, tool use, structured outputs, token economics, and cost-performance trade-offs across different engineering tasks. Expertise in agentic quality assurance and autonomous verification. You design deterministic quality gates combining automated testing, static analysis, architectural fitness functions, security scanning, and independent agent reviews. You understand test-driven development, adversarial validation, and iterative agent feedback loops, ensuring that generated software meets measurable acceptance criteria. Strong Java or Kotlin engineering expertise. At least 4 years of production experience with Java (Spring/Spring Boot) or Kotlin, including concurrency, performance optimization, database interactions, and application architecture. You can critically evaluate agent-generated implementations, recognize subtle defects, and enforce engineering standards without manually writing application code. Deep knowledge of distributed systems and financial-grade backend engineering. You understand scalable microservices, event-driven architectures, transactional consistency, fault tolerance, observability, and high-throughput, low-latency processing. Experience with payment systems, PCI DSS, and regulated financial infrastructure is a strong advantage. A security-first approach to autonomous engineering. You understand agent permissions, sandboxed execution, secrets management, supply-chain security, prompt injection risks, policy-as-code, and controlled deployment workflows. You can establish clear boundaries between autonomous execution and actions requiring human authorization. An engineering productivity and continuous improvement mindset. You measure agentic development by delivery quality, lead time, reliability, cost, and engineering throughput rather than generated code volume. You continuously experiment with emerging methodologies, evaluate new capabilities, and improve the autonomous engineering workflows used by your team. Strong communication and technical leadership skills. You can articulate complex architectural decisions, challenge assumptions, collaborate across engineering, product, security, and compliance, and take end-to-end ownership of outcomes in a globally distributed AI-native organization. Nice to have: Experience in fintech, payments, or banking systems. Experience working with AWS services and infrastructure. Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD pipelines. Exposure to AI-enabled systems or interest in integrating intelligence into applications. Background in event-driven architectures and message-based systems (Kafka, RabbitMQ). Why This Role Exists: At Unlimit, autonomous engineering is our operating model. AI agents execute the software development lifecycle, while engineers architect, orchestrate, and own the outcomes. We are building a global financial platform designed for both humans and autonomous agents. If you want to: Engineer autonomous systems that build and evolve software Push the limits of specification-driven, multi-agent engineering Build financial infrastructure where AI agents are first-class participants Shape the next generation of AI-native fintech at global scale Then this is your role. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

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: Rockford, IL General Summary As a Loan Originator with Envoy Mortgage we provide you with a high standard of service, support and tools, with one goal in mind -- Improving Lives! By listening to our originators and leveraging our teams and resources, we create a work environment poised for success while remaining a competitive lender and employer in the mortgage industry. Through this business approach Envoy Mortgage has been awarded Top Mortgage Employer by Mortgage Professional, 50 Best Companies to Work for by Mortgage Executive Magazine, and the Top Tech Housing Award many years running. Come join us, and be part of a team where your success, is our success! General Summary The Loan Originator provides residential mortgage loans and generates leads to increase production. The Originator obtains purchase and refinance mortgage loans in accordance with established company policies and procedures and industry guidelines by calling upon realtors; builders; past clients and referral partners; while providing strong communication and support to management, production staff, underwriting, and customers. Duties and Responsibilities The primary job duties and responsibilities of this position include but are not limited to: Promote Envoy's products to Real Estate Agents, Home Buyers, other lead sources and all referral sources. Prospect & procure new loan applications by meeting with and presenting products to potential referral sources such as realtors, CPAs, financial planners and past clients that result in funded loans Educate borrowers on current offerings and programs for which they qualify Ensure all marketing is performed in a manner that is compliant Create & maintain data from new loan applications and other documents in origination system Reviews loans in process daily and determine priorities Performs document audit and resolves exceptions to approve (or reject) loan packages for funding Receive & process Change of Circumstances (CoC) and resubmit loan package, ensuring compliance with Fannie Mae and Freddie Mac Re-disclose all new loans when there is a Change of Circumstance (CoC) Generate and distribute Decline/Rejection letters to borrows not meeting minimum requirements, in compliance with industry guidelines and regulations Authorize and/or order credit reports, appraisals, flood certifications, and title work Defers loans that do not meet basic standards to Underwriter Provides follow-up on a consistent basis with internal staff, borrowers, and agents to complete processing Analyzes loan files and submits completed loans for approval Responds to inquiries from agents/referral partners and borrowers regarding status of loans in process. Maintains status of all files in process and updates as needed; keeps abreast of all FHA, VA, and conventional guidelines and changes that may affect loan status Request and gather relevant information/documents from the borrower to complete the application, its structure and all loan disclosures, in coordination with processing as well as underwriting Monitor the process and communicate effectively with the borrower and all other parties to the transaction on the status of the loan Present complete and accurate files to the Processor Ensure maintenance of active NMLS license and stay current with required continuing education, new products, Freddie Mac and Fannie Mae guidelines, Envoy guidelines and overlays, and HUD guidelines Comply with local, state and federal laws regarding position Adhere to all Envoy standards, including, but not limited to production minimums and customer service Conduct business in an ethical manner and in the best interest of Envoy, with Envoy's core values in mind Stay current on personal finance principles in order to offer comprehensive mortgage advice to clients May work more than 50% of the time out the office, is non-exempt and primarily commission-based Any additional duties as assigned THIS JOB DESCRIPTION IS NOT INTENDED TO BE ALL-INCLUSIVE. THE INCUMBENT WILL ALSO PERFORM OTHER REASONABLY RELATED BUSINESS DUTIES AS ASSIGNED BY MANAGEMENT. Qualifications include: High school diploma or equivalent, Bachelor's degree is preferred 3+ years of experience as a Loan Originator, LOA or Processor, 5+ years preferred Knowledge of Microsoft Excel, Word and Outlook In-depth knowledge of mortgage loan products (FHA/VA/CONV/USDA) and knowledge of mortgage processes, procedures, and documentation Working knowledge / Proficiency in Desktop Underwriter/Desktop Originator (DU/DO), Loan Prospector (LP), and originating systems, Encompass experience preferred Exceptional follow-up, time management, interpersonal, and verbal and written communication skills Willingness to learn, self- motivated, social media savvy and a forward thinker Excellent customer service skills and working in a team environment Excellent interpersonal, verbal and written skills are a must Must be a self-starter who is reliable, detail oriented and the ability to resolve issues Strong relationship building a must, along with strong written and verbal communication skills Ability to analyze issues and create effective resolutions, while managing multiple projects at one time. Must have NMLS and SAFE, UST, preferred, or able to obtain applicable State NMLS license within 30 - 90 days of employment or employment will be terminated. Physical Requirements The employee must occasionally lift and/or move up to 25 pounds Specific vision abilities required by this job include close vision While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel; reach with hands and arms; and talk or hear The employee is occasionally required to stand; walk; climb or balance and stoop, kneel, crouch or crawl Job Type: - Non-Exempt Compensation: - Regular Pay: $7.25 - $15.00/hour Supplemental Pay: - Commission Pay NOTE: The Pay Range indicated may vary based on skills, experience, and location once a candidate is selected. - Bonus Pay (eligible) Benefits: (Full-Time) - Health Insurance - Paid Time Off (PTO) - Paid Holidays - 401(k) We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. We are committed to creating an inclusive environment for all employees.

Location: Montreal; Canada; Baku Workplace: remote ABOUT YOU   We are looking for a strategic and hands-on Software Development Director to lead our global software engineering function. You will drive the execution of high-impact technical initiatives and oversee multiple development teams delivering scalable, secure, and innovative products that serve millions of users worldwide.   The ideal candidate is an inspiring leader with deep technical acumen and a proven track record of managing distributed engineering teams. You understand how to balance speed with quality, coach engineering leaders, and foster a culture of accountability, innovation, and excellence.   If you're passionate about driving large-scale software development in a dynamic, product-led environment, and want to shape the future of a growing technology company, we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Define and execute the engineering strategy in alignment with company objectives. Provide architectural and organizational guidance to ensure long-term scalability and success. Lead, mentor, and develop multiple engineering teams, including team leads and senior developers. Establish clear goals and create growth opportunities across a global, distributed team. Ensure high-quality, timely delivery of product and platform initiatives. Continuously optimize workflows, development methodologies, and technical decision-making. Guide the evolution of system architecture, ensuring scalability, performance, and maintainability. Champion the adoption of modern technologies and development practices. Partner closely with Product, QA, DevOps, and executive stakeholders to align priorities, define technical requirements, and maintain a shared roadmap. Identify and mitigate risks across the development lifecycle. Promote best practices in observability, security, testing, and release management. Foster a high-performance culture grounded in transparency, continuous improvement, and a shared commitment to quality and innovation. Qualifications & Skills: 10+ years of experience in software development, including 5+ years in engineering leadership roles. Proven success leading large-scale, cross-functional engineering teams in complex, high-growth environments. Strong expertise in modern architectures, cloud infrastructure (AWS, GCP, or Azure), and microservices. Deep understanding of Agile development methodologies, CI/CD practices, and engineering metrics. Experience managing distributed teams and scaling organizations across multiple geographies. Strong communication and stakeholder management skills, capable of interfacing with technical and non-technical leaders alike. Sharp decision-making and problem-solving ability in high-stakes environments. Fluent in English (written and verbal). Nice to Have: Experience in the gaming, fintech, or platform-as-a-service industries. Familiarity with payments infrastructure, user-facing APIs, or developer tools. Master's degree in Computer Science, Engineering, or related field. Certifications in cloud technologies, Agile practices, or technical leadership. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Software Development Director, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: San Francisco, United States Whizz is transforming delivery services by being a reliable and affordable provider of electric bicycle solutions. Our vision is to provide the most affordable transportation in history. Our principles include caring for our customers and addressing any issues. With simplified sign-up and usage processes and affordable prices, we create an environment where riders earn more, stay safe, and strengthen their community connections. Whizz is already the #1 e-bike subscription provider for riders in the U.S Key Responsibilities: Sales: Identify potential clients, present and sell our e-bike solutions, and consistently meet weekly and monthly goals. Onboarding & Training: Deliver in-field training, mentor team members, and support continuous growth. Management & Coaching: Oversee daily operations, create schedules, and optimize sales processes. Reporting: Track sales performance, analyze data, and provide regular reports to management. Requirements Proven experience in active sales (field sales, cold calling, B2B or B2C). Understanding of immigrant communities (personal experience or strong connections). Results-oriented, proactive, and open to learning from mistakes. Comfortable working in a startup environment, adaptable and flexible. Strong communication and leadership skills to build and motivate a high-performing team. Experience running your own business is an asset. Familiarity with the delivery industry and the e-bike market is a plus Benefits Competitive Pay: Base salary plus performance-based bonuses. Bonuses & Incentives: Rewards for both individual and team achievements. Comprehensive Training: Continuous support and professional development. Flexible Schedule: Approximately 20 hours per week with flexibility to manage tasks. Startup Culture: An opportunity to make an impact, implement ideas, and grow with the company. Supportive Environment: Work with a motivated and collaborative team.

Location: Dammam, Saudi Arabia; Dubai, United Arab Emirates; Doha, Qatar; Mumbai, India; Delhi, India Eram Talent, a leading Talent Acquisition Consultancy, is currently looking for a Safety Compliance Supervisor specializing in Train/Metro projects. This role is critical in ensuring that all safety and compliance protocols are adhered to during the operation and maintenance of train and metro systems. As the Safety Compliance Supervisor, you will oversee safety programs, conduct inspections, and ensure compliance with local, national, and international safety regulations. Responsibilities Develop, implement, and maintain safety compliance programs and policies for train and metro operations. Conduct regular safety inspections and audits to identify potential safety risks and ensure compliance with regulations. Facilitate safety training sessions for employees and stakeholders involved in train and metro operations. Investigate incidents and accidents, prepare reports, and make recommendations for preventive measures. Monitor safety performance metrics and report findings to management for continuous improvement. Collaborate with engineering, operations, and maintenance teams to ensure adherence to safety standards. Act as a point of contact for safety-related inquiries and concerns among staff and stakeholders. Requirements Bachelor's degree in Occupational Health and Safety, Engineering, or a related field. Minimum of 8 years of experience in safety compliance supervision in the transportation or rail industry. In-depth knowledge of local and international safety regulations related to train and metro operations. Strong leadership and communication skills, with the ability to train and influence others. Experience in conducting safety audits and risk assessments. Proven track record in incident investigation and reporting. Professional certifications in safety management (e.g., NEBOSH, OSHA) are highly desirable. Ability to work collaboratively in a diverse team environment. Willingness to travel to different sites as required.

Location: Sulphur Springs, TX Medical Director/ Attending Physician Location: Sulphur Springs, TX Schedule: Part-Time Salary: Negotiable About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a dynamic and compassionate Medical Director/ Attending Physician to join our team. As the Medical Director/ Attending Physician, you will play a key role in overseeing the delivery of comprehensive care to patients, ensuring high-quality service, and promoting best practices across the healthcare team. You will provide leadership, guidance, and direction to clinical staff, fostering a collaborative environment while maintaining the highest standards of patient care. This is an exciting opportunity to make a meaningful impact on patient outcomes and contribute to the growth and development of our medical team. Responsibilities Provide ongoing oversight, mentorship, and clinical guidance to the medical staff to maintain high standards of care Foster a collaborative environment that promotes best practices and continuous professional development Lead the interview and credentialing process for prospective medical staff Chair or co-chair the Quality Assurance and Performance Improvement (QAPI) Committee on a quarterly basis Assist in Department of Health (DOH) survey preparedness, ensuring compliance with state and federal regulations Lead the implementation of new clinical programs and initiatives Stay informed of advancements in geriatric and long-term care to continuously evolve the facility’s clinical offerings Provide direct patient care to residents, ensuring the highest quality of clinical treatment and support Requirements Certified Medical Director (CMD) certification is preferred. Extensive experience in long-term care (LTC) or skilled nursing facility settings. Strong leadership, communication, and team-building skills. In-depth knowledge of regulatory requirements and quality improvement processes in long-term care Ability to collaborate with interdisciplinary teams and external stakeholders to enhance patient care and facility operations Prolonged standing and walking on facility floors. Carrying a medical bag, laptop, tablet or diagnostic equipment. Bending, stooping, or assisting with positioning during exams. Navigating multi-level buildings, potentially with stairs or uneven surfaces. Lifting/moving patients. Benefits Competitive salary: Negotiable Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most.

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: Lisbon, Portugal Workplace: none David Kennedy Recruitment is working with a fast-growing customer experience company that is seeking to onboard Dutch-speaking Level 1 Technical Support Specialists to join their eMobility team in Lisbon. In this role, you provide first-line technical support to customers experiencing issues with electric vehicle charging stations, carrying out basic diagnostics, troubleshooting and escalation of more complex cases. Position: Technical Support Specialist Location: Lisbon, Portugal Model: Hybrid Employment type: Full-time DUTIES AND RESPONSIBILITIES: Respond to customer enquiries via phone, email and chat regarding EV charger functionality, connectivity and usage Perform initial diagnostics covering power status, network connectivity and user interface issues Guide customers through standard troubleshooting steps, including resets, cable inspections and mobile app configuration Escalate unresolved or complex issues to Tier 2 support or field service teams Document technical findings and customer interactions accurately in the ticketing system Prioritise cases according to SLAs, warranty status and issue severity Monitor recurring technical issues and contribute to trend analysis and product reliability improvements Maintain up-to-date knowledge of EV charger models, firmware updates and support procedures Contribute to knowledge management and continuous improvement initiatives Follow safety and operational standards during remote support interactions REQUIREMENTS: Native-level Dutch Proficiency in English Previous experience in a customer-facing technical support role, preferably in a call centre or eMobility environment Basic understanding of electrical systems, IoT devices and network troubleshooting, including Wi-Fi, Ethernet and SIM-based connectivity Ability to explain technical concepts clearly to non-technical users Experience using CRM and ticketing systems Comfortable working across different support channels, including voice, chat, email and back office Willingness to work in a 24/7 shift-based environment, including weekends and holidays Residence in the Lisbon area Availability to work in a hybrid setup OFFER: Meal allowance Monthly transport allowance 22 days of annual leave Birthday day off 1-month probation period Company-provided equipment Hybrid working model Evening and weekend shifts can be worked from home