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

Location: 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: 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: Argentina Uptalent.io is a premier global platform connecting exceptional talent from Latin America with innovative companies across the globe. We are currently looking for a Remote Project Architect to focus on projects in California. Responsibilities Experience Level: At least 5+ years in a project architect role . Demonstrated experience leading full project lifecycles for U.S.-based projects. Core Responsibilities: Oversee project design intent through all phases (SD–CD–CA). Manage project documentation and ensure coordination among all consultants. Lead technical and code compliance reviews . Serve as the main point of contact for client and internal team coordination. Supervise job captains and production staff; ensure quality control. Provide construction administration support (RFIs, submittals, ASIs, etc.). Requirements Bachelor's or Master's degree in Architecture or related field. Minimum of 5 years of experience in architectural design , with a focus on California projects. Proficient in architectural software, such as Revit (mandatory), Autocad and SketchUp. Strong understanding of California building codes, zoning laws, and regulations. Excellent project management skills with the ability to handle multiple projects simultaneously. Able to align to California office hours (PST) Strong communication and interpersonal skills, with the ability to present designs and concepts effectively. Ability to work independently in a remote setting while collaborating with a virtual team. Fluency in English (both written and spoken); proficiency in Spanish is a plus. A portfolio demonstrating your architectural work, especially California-based projects. Benefits Work From Home or anywhere Highly Competitive Compensation Work for the most exciting companies in the US Flexible Schedule Healthy Work-Life Balance

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: Worldwide We are looking for a SRE to join our Processing Core team. The Processing Core team is responsible for building and maintaining the core platform that powers our credit card products. We develop solutions for card issuance and management, tariff configuration, transaction processing, and integrations with global payment networks, ensuring the platform remains reliable, scalable, and efficient. As a SRE , you will contribute to the development and evolution of our core processing platform, working on business-critical systems that support the entire card lifecycle. You’ll collaborate with cross-functional teams to build reliable and scalable solutions, improve existing processes, and ensure seamless interactions with global payment networks. Challenges that await you: Managing the reliability and availability of payments processing solutions, ensuring the performance of applications Assisting in the design, implementation, and maintenance of payments processing solutions with a focus on reliability and scalability Monitoring technological metrics of services and collaborating with DevOps engineers Writing and maintaining deployment scripts, configs, helm charts and CI/CD jobs Addressing infrastructure issues and resolving product failures Participating in incident investigations to identify and eliminate root causes Maintaining technical documentation What makes you a great fit: Minimum of 3 years of experience in a similar position Understanding of the principles of multi-component system architecture and ability to apply them in practice (load balancing, ensuring fault tolerance, etc.) Hands-on experience with containerization technologies such as Docker, Kubernetes and logging tools like Prometheus, Grafana, ELK stack Familiarity with scripting languages like Python, Bash for automation tasks Expertise in CI/CD pipelines using tools like Jenkins, GitLab CI/CD Open mind for problem-solving and good troubleshooting skills Good communication and collaboration skills B1 or higher English level for effective communication with an international team Your bonus skills: Work experience with vendor solutions Experience working with payment or fintech systems Exposure to cloud infrastructure (AWS, GCP, etc) Background in performance tuning, database reliability Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs — Cyprus, Spain, Georgia, or Kazakhstan — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Switzerland Are you an experienced recruitment professional ready to take control of your career while backed by a global brand? Keller Haldren is seeking an ambitious, independent-minded recruiter to join our partner network in Switzerland. About This Opportunity We are looking for a talented recruiter who wants the autonomy of running their own operation while leveraging the infrastructure, brand recognition, and support of an established global recruitment organization. As a Keller Haldren Partner, you will have the freedom to build and grow your own recruitment business, your way, while benefiting from: Brand Power - Immediate credibility with clients and candidates through the Keller Haldren network. Operational Support - Access to our proven systems, technology platforms, and back-office infrastructure Global Network - Connect with fellow partners worldwide for cross-border placements and knowledge sharing Marketing Resources - Professional marketing materials, digital assets, and campaign support tailored for your market Financial Flexibility - Competitive revenue share model with transparent fee structure designed for your market, allowing you to retain significant earnings while accessing enterprise-level resources The Ideal Partner Profile You are an established recruitment professional who: Has 5-10 years of proven recruitment experience with a track record of successful placements and client relationships in your local market. Is ready for independence - You have been thinking about starting your own operation but want the backing of an established brand OR has recently launched an independent recruitment business and seeks strategic partnership to accelerate growth Possesses strong industry networks and the ability to generate business through existing relationships Values collaboration while maintaining entrepreneurial drive Understands market dynamics, cultural nuances, and regulatory environment Has the ambition to build a sustainable, profitable recruitment operation About Keller Haldren Keller Haldren is a global executive search and recruitment firm with operations across multiple countries. We specialize in connecting exceptional talent with leading organizations and have built a reputation for quality, integrity, and results. Our partner model has been developed to empower talented recruiters to build their own businesses while benefiting from our established infrastructure, brand, and global network. We believe that the best recruitment businesses are built by passionate professionals who have the freedom to operate autonomously while supported by world-class resources. Requirements Essential Minimum 5 years recruitment experience Demonstrated ability to manage full recruitment lifecycle independently Strong client relationship management skills Self-starter mentality with business development capabilities Strong understanding of employment law and recruitment practices Excellent communication skills (fluency in English essential) Desirable Existing client base or business pipeline Specialization in high-demand sectors Experience with recruitment technology and CRM systems Previous experience running a business or managing P&L Established network within your business community Benefits Build Your Business, With Enterprise-Level Backing Enjoy complete operational autonomy while leveraging the credibility of an established global brand. As a true business partner, you'll earn 100% commission-based income through our transparent revenue share model; keeping the majority of what you generate, with no salary cap limiting your potential. Access proven technology platforms, back-office infrastructure, and professional marketing resources without the bureaucracy. Connect with our global partner network for cross-border opportunities and knowledge sharing. Legal & Compliance Keller Haldren welcomes applications from all genders and does not tolerate discrimination, consistent with Swiss law (Federal Constitution & Gender Equality Act). Selection is based on qualifications and business merit. Applicants may request reasonable accommodations during the selection process. No fees are charged to jobseekers. Any legally permitted registration/commission fees under Swiss law are not applied by Keller Haldren. Controller(s): Keller Haldren HQ Purpose: assess and manage your application. Retention: up to 12 months unless you consent to longer. Your rights: access, rectification, erasure/objection per Swiss nFADP. Full policy: https://www.kellerexecutivesearch.com/privacy/ We may transfer your data abroad. Transfers follow Swiss law: to adequate countries (per Federal Council list) or, where needed, Swiss SCCs/additional safeguards. Transfers to the USA rely on the Swiss-US Data Privacy Framework for certified recipients. Switzerland does not require salary ranges in job ads; this is a commission-only independent-partner role. This is an independent partner (self-employed) opportunity, not employment with Keller Haldren in Switzerland. Any placement activity in/into Switzerland is conducted via/under a Swiss-licensed partner.

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

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office.   WHAT YOU’LL DO - Take ownership of complex product features end-to-end - from architecture and data modeling to beautiful and performant user interfaces - Translate product ideas and designs into pixel-perfect, production-grade UI using modern frontend frameworks and component libraries - Work closely with Product, Design, and Engineering to define scope, shape technical direction, and deliver features that delight users - Contribute to and evolve both our backend infrastructure and frontend design system, ensuring consistency, scalability, and developer velocity - Push the boundaries of what’s possible across the stack - improving developer experience, introducing new capabilities, and driving innovation WHAT WE’RE LOOKING FOR - 5+ years of professional fullstack engineering experience - Deep expertise in TypeScript, React, Tailwind CSS and proven ability to deliver high-quality features across both frontend and backend - Strong architectural instincts and ability to design clean, maintainable, and scalable systems end-to-end - Experience designing and implementing APIs (REST, GraphQL, or gRPC) and integrating them seamlessly into polished user interfaces - Strong communication skills and a high sense of ownership - able to work autonomously while staying tightly aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness   TECH STACK - Languages: TypeScript - Backend: GCP, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Elasticsearch - Frontend: React, shadcn/ui, Tailwind CSS - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Active contributions to open-source projects - Deployed side/hobby projects that we can check out - Experience in starting a company or working at a top-tier high-growth startup   WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. WHAT YOU’LL DO - Take ownership of complex product features end-to-end - from architecture and data modeling to beautiful and performant user interfaces - Translate product ideas and designs into pixel-perfect, production-grade UI using modern frontend frameworks and component libraries - Work closely with Product, Design, and Engineering to define scope, shape technical direction, and deliver features that delight users - Contribute to and evolve both our backend infrastructure and frontend design system, ensuring consistency, scalability, and developer velocity - Push the boundaries of what’s possible across the stack - improving developer experience, introducing new capabilities, and driving innovation WHAT WE’RE LOOKING FOR - 5+ years of professional fullstack engineering experience - Deep expertise in TypeScript, React, Tailwind CSS and proven ability to deliver high-quality features across both frontend and backend - Strong architectural instincts and ability to design clean, maintainable, and scalable systems end-to-end - Experience designing and implementing APIs (REST, GraphQL, or gRPC) and integrating them seamlessly into polished user interfaces - Strong communication skills and a high sense of ownership - able to work autonomously while staying tightly aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness TECH STACK - Languages: TypeScript - Backend: GCP, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Elasticsearch - Frontend: React, shadcn/ui, Tailwind CSS - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Active contributions to open-source projects - Deployed side/hobby projects that we can check out - Experience in starting a company or working at a top-tier high-growth startup WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

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

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents. We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Build and maintain scalable infrastructure to support the deployment and operation of machine learning models. - Establish standards and best practices for reliability and performance across the infrastructure. - Automate processes when relevant, particularly for managing CI/CD pipelines. - Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution. - Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions. - Mentor junior team members and contribute to knowledge sharing within the organization. - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity. - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates. REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Extensive experience with Kubernetes. - Experience in building and maintaining scalable infrastructure. - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins). - Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, OpenTelemetry) is a plus. - Ability to own projects end-to-end, from project specification to execution. - No prior machine learning experience required, but should be open to learning about it. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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. About the role We’re looking for a Senior Platform Engineer to own the reliability of our platform and how we deliver software. Our entire platform runs on AWS, spread across multiple regions and dozens of accounts, so strong AWS experience at this scale is the core of the role. You’ll set company-wide standards for CI/CD and GitOps, and run Kubernetes on AWS in production. You’ll also keep the platform available, observable and resilient under real payment traffic. You’ll work closely with the Security and engineering teams, and you’ll help bring AI-driven tooling into how we build and operate systems. What You'll Be Doing Platform reliability. Keep the platform available, resilient and fast. Take part in incident management and the on-call rotation, and run blameless post-incident reviews. Infrastructure. Design, build and run our multi-region, multi-account AWS landscape and the EKS clusters on it. Manage infrastructure as code with Terraform, and manage AWS resources from Kubernetes with AWS Controllers for Kubernetes (ACK). CI/CD and GitOps strategy. Define company-wide CI/CD standards and design reusable pipeline templates. Maintain pipelines across 20+ repositories, and roll out GitOps and progressive delivery (canary, blue/green) with Argo CD. Governance and guardrails. Build security and compliance guardrails into the platform and delivery pipelines, together with the Security team. Observability. Improve monitoring, logging and alerting with VictoriaMetrics, Grafana, Loki, Zabbix, Splunk and PagerDuty. Define SLOs, SLIs and error budgets for critical services. Toil reduction. Build internal tooling and self-service so engineers do less manual work. AI in operations. Find and adopt AI-driven tools for delivery and operations, such as failure prediction and automated root cause analysis. Documentation. Write and maintain configuration standards, runbooks and architecture designs. Qualifications You Bring Extensive, hands-on production experience with AWS. This is our most important requirement. You have designed and run real workloads on EKS, VPC networking, IAM, EC2, RDS, S3 and related services. Experience with GCP or Azure is welcome too, but strong AWS skills are what we need most for this role. Proven experience designing and operating multi-region and multi-account AWS environments. This is mandatory, not a nice-to-have. It includes AWS Organizations, cross-account IAM roles, Transit Gateway or VPC peering, cross-region replication and disaster recovery. 5+ years running production Linux systems, with at least 3 of those years on Kubernetes in production (Docker, Helm) 4+ years designing and running CI/CD at scale with GitLab, Jenkins or GitHub Actions Strong hands-on experience with GitOps and infrastructure-as-code: Argo CD, Terraform Experience managing AWS resources through Kubernetes with AWS Controllers for Kubernetes (ACK) Experience with observability at scale: custom metrics, instrumentation, log aggregation (Loki or similar) and alerting Scripting or programming skills in Python, Go or Bash Working knowledge of PostgreSQL, MongoDB, RabbitMQ, Nginx and Apache Understanding of distributed systems, and experience working in Agile (Scrum) teams Strong written and spoken English A real interest in AI tools and how they can improve engineering work Nice-to-Have: Experience with high-availability, high-volume web services (payments or fintech is a strong plus) Experience running infrastructure in regulated environments under PCI DSS, SOC 2 or ISO/IEC 27001, including taking part in audits and putting the required controls in place A track record of practising SRE with SLOs, SLIs and error budgets eBPF-based observability (Cilium, Hubble, Pixie or similar) Certifications such as AWS DevOps Engineer – Professional or CKA/CKAD A self-directed work style and a habit of automating away recurring work We offer: Attractive monthly salary paid in line with experience Vacation, sick, and paid holidays Flexible working hours Full-time: 5/2 Modern workplace with all necessary equipment A team of top international professionals to learn from Multicultural working environment 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.