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Location: Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role will be based in Poland, and you need to be residing in the country already. As an Engineering Manager, you'll lead software engineers building and scaling critical platforms that power the OLX engineering ecosystem. You'll combine strong people leadership with enough technical depth to guide major projects, shape technical direction, and help the team solve complex platform challenges. This is not a generalist Engineering Manager role. Previous experience leading an engineering team in a Platform environment is mandatory. We need someone who understands what it means to build platforms for other engineers and the unique challenges that come with balancing developer experience, reliability, scalability, standardisation, and team autonomy. You'll capture requirements, shape ambitious but balanced project scope, lead technical initiatives, and partner across teams to solve technical problems and ensure smooth adoption and implementation of platform solutions. Our Platform environment is a mix of software engineering, APIs, distributed systems, infrastructure, DevOps, scalability, and reliability.  We're looking for someone who can operate at both levels: developing people and leading a Platform team, while providing the technical and organisational leadership needed to make the platform successful. What you will be doing: Lead by example and manage a team of talented engineers, providing technical guidance, mentorship, and career development support; Collaborate with cross-functional teams, including data science and data engineering managers, and product managers to define project goals, scope, and deliverables; Drive the end-to-end development process, from design to implementation and deployment, ensuring high-quality and scalable solutions (with controlled cost); Identify and prioritize technical initiatives, considering ROI, scalability, and performance requirements; Implement modern software development practices, including agile methodologies, continuous integration, and deployment, to ensure efficient and effective project delivery; Collaborate with stakeholders to gather and analyze requirements, ensuring that the platform meets customer needs and provides an exceptional user experience; Foster a collaborative and inclusive team culture, promoting knowledge sharing, innovation, and continuous improvement. What you have: Bachelor's or Master's degree in Computer Science or a related field; Track record of proven people management experience (3+ years) focused on developing and growing people; 5+ years of professional experience in software development. Proven experience in designing and developing large-scale, high-traffic systems; Familiarity with microservices architecture and container orchestration (e.g. Docker, Kubernetes, Streaming architectures); Strong knowledge of data structures, and software design patterns; Good understanding and ideally successful application of AI/ML; Experience with modern software development practices, such as agile methodologies, continuous integration, and deployment; Excellent problem-solving skills and the ability to work effectively in a team environment; Proficient in English, with strong verbal and written communication skills. Our benefits: Monthly salary and an annual bonus (20%) Training and conference budget, and free access to Udemy courses A benefits package with 300 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more IP rights’ costs - 60% 100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw) At OLX, we unlock value in our people. We invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training and leadership behaviors a focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world. We also unlock value for our stakeholders. We are proud of the positive contribution we make to our planet, by enabling more conscious consumption and helping the world make the most of its limited resources through more efficient trade. And last but not least, we love to unlock value for our customers. Every single month, over 300 million people use our platforms to easily, safely, and conveniently find their perfect home, buy or sell a car, find a great job, sell things they no longer need, or strike a great deal on something they need. And we help thousands of entrepreneurs and businesses find their customers too. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer. About the job This position will be part of a team of talented engineers within our Commerce Platform Team, who build services and products that operate at a massive scale. This platform is central to Twilio's core business as it is responsible for managing the billing lifecycle and payment experience for our customers, while also acting as a gateway for discovering and selling our products. Billing is going through a transformational journey, and we are introducing new and exciting capabilities. The engineer in this role will be part of a team that focuses on the control plane, billing experience and account lifecycle management. The successful candidate will design, build, and operate core billing platform services that help transition our platform and our customers to the next generation architecture. These services work for all Twilio customers, regardless of their scale and billing complexity. The ideal candidate will build high-quality, innovative and fully performing software that complies with high levels of coding standards and technical design. This is to build and integrate services that continuously improve our ability to provide products to customers while simultaneously delivering industry leading availability. We do this by leveraging technologies that include AWS cloud infrastructure and APIs, Apache Kafka, Rest APIs (OpenAPI compliance), while also building our own services. Responsibilities In this role, you’ll: Improve your knowledge of highly available and scalable distributed systems and use this knowledge to build new features into our platform. Design, implement, and operate both new features on our current services as well as new services that will be built from scratch. Leverage your excellent communication and written skills to articulate the "why" of the solution you are proposing, and have a good understanding of your team’s priorities and the customer impact. Troubleshoot and fix operational issues and have the opportunity to improve the troubleshooting procedures and tools. Execute full software development life cycle (SDLC). Develop flowcharts and documentation to identify solutions. Write well-designed, testable code. Document and maintain software functionality. Troubleshoot, debug and upgrade existing systems. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! As a Commerce Platform engineer, you will design and build core platform services, REST APIs and take part in transitioning our platform to next generation architecture. We run on AWS cloud infrastructure and use AWS cloud data store, EKS, Glue, Kafka, Aurora RDS etc. *Required: 5+  years of work experience building highly scalable products. 5+ years of programming experience in object-oriented language  (Java or similar) with clean code practices. Expert knowledge in Object-Oriented Programming with a successful track record. Experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. Experience working closely with our Product team to understand requirements and help to define technical work for the team. Experience working with stakeholders at all levels - be able to dive into the nuts-and-bolts of how things work as needed. Experience with relational and non-relational databases. Experience delivering high levels of observability and proficiency in improving early warning systems, for example: has worked with Grafana/DataDog/Prometheus. Collaborating with internal/external teams/engineers and fostering an inclusive environment, where all points of view are welcomed and encouraged. Own and lead multiple domains of the platform (microservices, REST APIs, infrastructure) from inception to deployment and maintenance, while making best in class technical decisions that impact the success of the company. Familiarity in Cloud Solutions, AWS, Kubernetes/EKS, CI/CD pipelines, Testing & Automation. Self driven - you take complete ownership of your tasks and champion efforts to get your tasks to completion. Clear written and spoken communication skills. Degree in Computer Science or a related field, or equivalent work experience. Desired: Experience with on-call support for mission-critical customer systems. Experience optimizing and debugging complex SQL queries. Experience working on customer-facing applications. Good debugging skills on production systems. Proficient in Linux and containerization with Kubernetes. Nice to have skills: gRPC, Python, Typescript, React, Apache Kafka. Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Limassol; Nicosia Workplace: hybrid The Role:  Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals? We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production. The main responsibilities of the position include: Lead the design, development, and delivery of high-impact data science and machine learning solutions. Translate complex business challenges into structured analytical approaches and scalable data products. Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability. Contribute to technical decisions and best practices across the data science lifecycle. Review and validate data preparation, feature engineering, model selection, experimentation, and documentation. Support the deployment and operationalization of machine learning models in batch and real-time environments. Present analytical insights and recommendations to technical and non-technical stakeholders. Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards. Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management. Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions. Contribute to improving team processes, technical standards, and project delivery methodologies. Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives. Main requirements: University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field. At least 5 years of experience in a similar role. Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis. Strong Python programming skills with the ability to write clean, maintainable, and production-ready code. Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs) . Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly . Good knowledge of SQL and statistical analysis. Excellent analytical thinking and problem-solving skills. High attention to detail and commitment to delivering high-quality solutions. Strong communication skills with the ability to explain technical concepts to non-technical audiences. Excellent verbal and written communication skills in English. A collaborative mindset, curiosity, and a passion for continuous learning. What would be considered as an advantage: Exposure to Natural Language Processing (NLP). Experience working with NoSQL databases. Knowledge of software engineering best practices. Experience working in Unix/Linux environments. Basic understanding of AWS services and cloud-based machine learning environments. Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Texas, United States GoMining is building the next generation of the Bitcoin economy. Our infrastructure powers one of the world's largest Bitcoin mining ecosystems, operating industrial-scale data centers that support millions of users globally. We're looking for an experienced Head of DC Operations to lead our data center operations across Texas, ensuring maximum uptime, operational excellence, and continuous infrastructure improvement. This is a senior leadership role for someone who combines strong technical expertise with operational management, team leadership, and a continuous improvement mindset. Responsibilities: Data Center Operations - Own day-to-day operations across Bitcoin mining data centers in Texas. - Ensure maximum uptime, operational stability, and performance across all facilities. - Develop and improve operational standards, processes, and KPIs. - Monitor operational health and proactively resolve issues affecting production. Infrastructure & Maintenance - Oversee preventive and corrective maintenance programs. - Ensure efficient operation of power, cooling, networking, and mining infrastructure. - Coordinate hardware deployment, repairs, replacements, and capacity expansion. - Drive continuous improvements in infrastructure reliability and operational efficiency. Team Leadership - Lead and develop local operations managers, technicians, and maintenance teams. - Establish clear performance expectations and accountability. - Build scalable operational processes as the organization grows. - Foster a strong safety-first and performance-driven culture. Operational Excellence - Analyze operational metrics and identify opportunities for optimization. - Improve equipment availability, energy efficiency, and maintenance planning. - Manage incident response and post-mortem processes. - Ensure compliance with company standards and local regulations. Cross-functional Collaboration - Partner with Engineering, Infrastructure, Procurement, Finance, and Product teams. - Support expansion projects, new site launches, and operational scaling. - Coordinate with hardware vendors and external contractors. Requirements - 8+ years of experience managing large-scale data center, industrial, or critical infrastructure operations. - 3+ years leading operational teams in a management role. - Strong understanding of mission-critical infrastructure, including electrical systems, cooling, networking, and hardware operations. - Experience managing multiple teams, vendors, and operational KPIs. - Proven track record of improving operational efficiency and reliability. - Strong analytical and problem-solving skills. - Excellent communication and leadership abilities. - Ability to travel between data center locations when required. - Fluent English. Nice to have - Experience in Bitcoin mining or HPC (High Performance Computing) operations. - Experience with large-scale electrical infrastructure. - Background in industrial manufacturing, energy, cloud infrastructure, or hyperscale data centers. - Experience managing multi-site operations. - Knowledge of safety and compliance standards for industrial facilities. Benefits - Opportunity to lead critical infrastructure powering the Bitcoin economy. - Work with a fast-growing international technology company. - High level of ownership and decision-making authority. - International team with a remote-first culture. - Competitive compensation package. - Long-term career growth within GoMining.

Location: Riyadh, Saudi Arabia Muller's Solutions is seeking an experienced Service Delivery Manager to lead and oversee managed IT services across Service Desk, Field Support, and Inventory Management functions. The ideal candidate will ensure high-quality service delivery, drive operational excellence, manage distributed teams, and maintain strong stakeholder relationships while meeting agreed SLAs and KPIs. Key Responsibilities Drive SLA and KPI achievement and provide regular service performance reports to senior stakeholders. Lead and govern Service Desk, Field Support, and Inventory Management teams. Coordinate managed service delivery across multi-vendor and cross-functional teams. Manage team scheduling and workforce planning for shift-based operations. Develop and execute individual development plans for team members. Ensure effective incident, problem, and escalation management through structured governance. Identify opportunities to improve service delivery processes and operational efficiency. Build and maintain strong relationships with internal and external stakeholders. Communicate effectively with technical teams, business users, and senior management. Lead operational problem-solving initiatives and drive continuous service improvement. Requirements Bachelor's degree in Engineering, Information Technology, Computer Science, or a related field. ITIL V4 Foundation Certification (Mandatory). Proven experience managing 30+ member managed service teams across multiple locations. Experience managing shift-based IT support operations . Strong knowledge of IT Service Management (ITSM) processes and best practices. Hands-on experience with ServiceNow or similar ITSM platforms. Expertise supporting endpoint technologies, including: Laptops and desktops Mobile devices Meeting room and collaboration systems Experience coordinating services across multi-vendor environments. Strong leadership, people management, and coaching skills. Excellent stakeholder management and communication skills. Strong analytical, problem-solving, and decision-making abilities. Ability to drive operational excellence and continuous improvement initiatives.

Location: Guangzhou, China The Company Our client was founded in 2009 and is headquartered in San Francisco. They describe themself as a “Retail Maximization Company,” focused on helping retailers, brands, and CPG companies improve digital revenue, customer experience, operational efficiency, and technology modernization. Their core positioning is highly retail-specialized rather than being a general-purpose IT services company. They emphasize deep expertise in: retail commerce, omnichannel systems, supply chain technology, AI and data platforms, experience design, cloud modernization, digital engineering, performance engineering, eCommerce migration, and upgrades. The Role As a FlexPLM Support Engineer, you will provide functional and technical support for the client's Product Lifecycle Management (PLM) platform, ensuring smooth day-to-day operations and continuous improvement of the system. You will work onsite at the client's office in Guangzhou while collaborating closely with distributed engineering teams across China, India, and the United States. This role offers the opportunity to work on enterprise-scale retail technology platforms supporting global product development processes. This position is ideal for someone with strong PLM expertise, excellent problem-solving skills, and the ability to work effectively in a cross-functional, international environment. Key Responsibilities Provide day-to-day support for the client's FlexPLM platform and related PLM modules. Troubleshoot production issues and provide timely resolutions for business users. Support multiple Product Lifecycle Management modules, including: Line Sheet Management Bill of Materials (BOM) Materials Management Sample Management Participate in system configuration, functional implementation, testing, and production support. Gather business requirements and translate them into technical or functional solutions. Perform business process analysis and process mapping to improve system efficiency. Support integrations with enterprise systems using web services and APIs. Write, optimize, and troubleshoot SQL queries in Oracle databases. Contribute to system documentation, knowledge sharing, and continuous improvement initiatives. Requirements Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. At least 7 years of overall IT experience. 3–5 years of hands-on experience with Product Lifecycle Management (PLM) platforms. Experience supporting FlexPLM (Version 11 or above) is highly preferred. Candidates with experience in other enterprise PLM platforms are also encouraged to apply. Strong understanding of retail product development processes, including: Line Sheet Management BOM Management Materials Management Sample Management Experience with PLM configuration, functional implementation, business analysis, testing, production support, and requirements gathering. Knowledge of FlexConnect/TRC is an advantage. Strong understanding of FlexPLM Type Manager and its underlying data model is preferred. Experience with: SQL (Oracle) JavaScript Java JSP XML JSON REST and SOAP web services Strong analytical and troubleshooting skills. Excellent communication and stakeholder management skills. Fluent Mandarin and English (spoken and written) are mandatory. Experience within the retail, footwear, fashion, consumer products or software industry is highly preferred. Candidates currently based anywhere in China who are willing to relocate to Guangzhou are welcome to apply.

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Sharjah, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Malé, Maldives Our Client is a well-established Restaurant group running successful and award-winning restaurants in Dubai. Currently, they are looking for Bartenders to join their team in Dubai. Responsibilities Prepare alcohol or non-alcoholic beverages for bar and restaurant patrons Interact with customers, take orders, and serve snacks and drinks Assess customers’ needs and preferences and make recommendations Mix ingredients to prepare cocktails Plan and present bar menu Check customers’ identification and confirm it meets the legal drinking age Restock and replenish bar inventory and supplies Stay guest-focused and nurture an excellent guest experience Comply with all food and beverage regulations Requirements Proven working experience as a Bartender Excellent knowledge of mixing, garnishing, and serving drinks Computer literacy Knowledge of a second language is a plus Positive attitude and excellent communication skills Ability to keep the bar organized, stocked, and clean Relevant training certificate Benefits As per market standards.

Location: San Francisco, CA | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring a Field Marketing Lead dedicated to the Public Sector Industry — one of the fastest-growing customer segments we serve, and one we believe will define how the next generation of AI-native companies adopts and builds with Claude. You will own the field marketing strategy and end-to-end execution for Public Sector audiences in the US, partnering closely with our Public Sector Sales teams. This is a builder role. Field Marketing at Anthropic is a small, scrappy team and the Public Sector is an area of growth for the business — there is no existing playbook for you to inherit. You will design the event calendar, build the integrated digital programs, develop the necessary partnerships, and create the playbooks that scale across our Public Sector motion. Responsibilities Develop and activate the US Public Sector field marketing strategy end-to-end — planning, calendar, execution, and measurement. Design and run public-sector-appropriate event formats — agency roundtables, mission-focused briefings, tech demo days, industry days, and executive breakfasts — that comply with government ethics and gift rules while building trusted relationships with program and procurement stakeholders Plan the field calendar around the government fiscal year — building demand programs that peak ahead of federal year-end (September 30) and state budget cycles, and capitalize on use-it-or-lose-it spending windows Own presence at anchor public sector events — from sponsorship strategy to speaker placement and on-site execution Build co-marketing programs with the public sector channel ecosystem — distributors, resellers, systems integrators, and contract-vehicle holders — including joint events, teaming-oriented content, and partner-sourced pipeline Partner closely with Public Sector Sales and BDRs on pre-event targeting, during-event engagement, and post-event follow-up to convert attention into pipeline Build operational playbooks (Demo Day activation kit, hackathon kit) that the Field Marketing team can scale across regions and segments Establish baseline metrics, dashboards, and ROI reporting for all Public Sector field programs Be the face of Anthropic in the Public Sector ecosystem — credible with strategic partners and agencies Minimum qualifications Direct Public Sector-segment experience — you have built and run programs targeting the Public Sector as your primary audience, not as an enterprise field marketer who occasionally touches Public Sector End-to-end ownership of field marketing events and programs, hands on in both strategy and execution - this is a 0-1 building role with very little foundation in place Repeat success across multiple companies — we are looking for a pattern of impact, scaling field or demand generation programs in different environments, not a single-company tour (however strong the brand) 0-to-1 builder DNA — you've built a field marketing motion from scratch (or rebuilt one), and you also have scaled-company tenure that grounds you operationally Tight sales alignment — you've worked shoulder-to-shoulder with AEs and BDRs on account targeting, pre-event outreach, and post-event follow-up Operational rigor — you can stand up vendor management, registration, follow-up workflows, and ROI dashboards without being asked Technical credibility — you can review technical event content, brief technical speakers, and hold your own with founder/CTO audiences Preferred qualifications 10+ years across Field Marketing, Demand Generation, ABM, and Events at B2B technology companies Experience working inside of a Public Sector organization that went through a rapid growth phase, or a blend of Public Sectors and scaled technology companies. AI/ML field marketing experience Existing relationships with public sector associations and research institutions Visible thought leadership in the Public Sector ecosystem or developer ecosystem Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or Washington, D.C. office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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 — $400,000 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. 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; Amsterdam; Warsaw; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Software Engineer, Network Automation - Data Center Fabrics, you will help design and build systems for operating large-scale networks within our data centers. You will apply deep networking expertise to leaf-spine architecture, automation, testing, and production troubleshooting across Ethernet switching, IP routing, BGP, EVPN/VXLAN, and VRFs. This is a hands-on role for a networking expert who is also comfortable building production software. Go and Kubernetes experience are helpful but not required; strong engineering fundamentals and network automation experience matter more. WHAT YOU WILL DO - Design and evolve leaf-spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi-tenant AI infrastructure. - Translate data-center fabric requirements and safety properties into clear APIs, data models, validation, and automation. - Build reliable control-plane software that reconciles desired and observed network state. - Design safe change workflows with validation, dry runs, atomic updates, observability, and failure recovery. - Integrate with data-center switch operating systems and management APIs while maintaining vendor-neutral abstractions where practical. - Participate in the on-call rotation, troubleshoot active data-center network incidents, restore service, and turn root causes into lasting improvements. - Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization. - Develop lab and production tests and turn operational lessons into better software and architecture. WHAT WE’RE LOOKING FOR - Deep hands-on experience with Ethernet switching, IP routing, BGP-based leaf-spine fabrics, EVPN/VXLAN, and VRF-based multitenancy. - Strong judgment around fabric underlay and overlay design, scale, convergence, isolation, and failure modes. - Experience building or operating production network automation, including desired state, idempotency, concurrency, observability, and recovery. - Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. - Experience with southbound network APIs and structured configuration, such as REST, gNMI/OpenConfig, or NETCONF. - Hands-on experience with major data-center network operating systems, such as Cumulus Linux, Arista EOS, SONiC, Junos, or NX-OS. - Strong diagnostic skills using routing and EVPN state, packet captures, counters, telemetry, and logs. - Clear, pragmatic communication and a collaborative approach to technical leadership. NICE TO HAVE - Experience reading, reviewing, or contributing to Go code. - Familiarity with Kubernetes controllers, operators, CRDs, reconciliation, or Kubebuilder. - Experience with physical or simulated network labs such as containerlab, NVIDIA Air, EVE-NG, GNS3, or similar environments. - Experience with high-performance Ethernet, RoCE, InfiniBand, HPC, or large-scale GPU infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Mexico City, Mexico Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a Law Enforcement Liaison and Blockchain Investigator, you will have a crucial role in connecting advanced blockchain technology with the efforts of law enforcement. Your expertise in blockchain analytics will be vital in decrypting complex virtual currency transactions, assisting in the discovery and prevention of financial crimes. This position requires a unique combination of technical knowledge, analytical skills, and a profound understanding of the blockchain ecosystem. Your role will require more than just analyzing data. You will also be responsible for converting complicated blockchain data into practical intelligence for law enforcement agencies. To stay ahead of the latest trends in virtual currencies and blockchain technology, you must take a proactive approach. This will ensure that our strategies and tools are always at the forefront of the industry. As part of this job, you will be responsible for detecting potentially illegal activities such as money laundering, fraud, and other financial crimes within blockchain networks. Your efforts will assist law enforcement agencies in their investigations and will be crucial in shaping the future of virtual currency security measures. Your work will have a direct impact on public safety and legal enforcement. In this role, you will be working in a collaborative environment where you will interact with different stakeholders such as law enforcement officers, cybersecurity experts, legal professionals, and management. This position provides a unique opportunity to make a significant impact in the fast-changing world of blockchain technology while adhering to the highest standards of legal and ethical compliance. Responsibilities: Employ state-of-the-art blockchain analytics tools to analyze virtual currency transactions. This includes tracing transaction histories, identifying patterns, and uncovering illicit activities within blockchain networks. Act as a primary point of contact for law enforcement agencies. Provide detailed, understandable reports and insights on blockchain activities to assist in criminal investigations. Efficiently respond to and action incoming requests from law enforcement. This involves gathering relevant data, conducting thorough analyses, and delivering timely and accurate information. Enhancing law enforcement's understanding of patterns and indicators of illicit activity on the blockchain. Stay abreast of the latest developments in blockchain technology, virtual currency trends, and regulatory changes. Apply this knowledge to enhance analytical methods and tools. Interdepartmental Coordination: Work closely with other departments, such as legal and compliance, to ensure adherence to regulatory requirements and company policies. Bachelor’s or Master’s degree in Criminal, Business Management, Finance, Computer Science, or a related field. Proven experience with blockchain analytics, preferably Chainalysis, TRM Labs or Elliptic. Deep and proven understanding of cryptocurrency transaction patterns and potential indicators of criminal activity. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to translate complex technical information into understandable terms for law enforcement personnel. Experience working with law enforcement agencies is highly desirable. Ability to work independently and as part of a team in a fast-paced environment. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Edinburgh, Scotland About the Role iCapital is seeking a Client Delivery Advocate Analyst to join the Data Solutions team. This individual must be comfortable working in a dynamic, performance-driven, fast-paced environment, and is committed to delivering a high-quality, accurate product on a time-sensitive basis. Daily activities will be diverse, from setting up and maintaining software applications, to assisting clients with issues, special projects, sales calls, and helping with all the non-related tasks associated with building an innovative company. The role is a mix of finance and technology. Responsibilities Financial Reporting and Data Aggregation tools. Analyze and explain portfolio performance results. Conduct account level reconciliation, including research and resolution of all breaks, cancels, and corrects. Analyze private equity and hedge fund statements for input into system. Consolidate data from multiple sources and custodians. Provide accurate and timely statements and data entry. Generate reports as needed. Work with clients and partners to resolve data issues. Develop and strengthen client relationships via client on-boarding, client account setup, training, day-to-day support and issue management. Maintain software maintenance, system setup and configuration which includes new client setup, new financial account and asset set-up and classification. This assists in data feed management, creating custom reports based on client-specific needs, liaise with the vendor partners for enhancements, and system data issues. Work with the team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications. Establish operational effectiveness through the development, adoption of policies, procedures, and controls. Qualifications Bachelor's degree with a concentration in finance, computer science, statistics, mathematics, data science, or a similar field Excellent customer relations skills Foster and maintain effective relationships Proactively assess and act upon client and company needs Well-organized and self-motivated with the ability to prioritize tasks and meet deadlines Highly attentive to detail and accuracy while maintaining an organized approach to duties and responsibilities Comfortable with technology, software tools and applications and able to learn new software quickly; Strong MS Excel and PowerPoint skills, basic knowledge of database concepts, and any type of programming and a working knowledge of Photoshop, HTML design, or similar tools Knowledge of liquid investments such as Equities, Bonds, ETFs, Mutual Funds, SMA/UMA, alternative investments, performance reporting calculations and methodologies, portfolio management and rebalancing, as well as how RIA investment advisors ’work Critical thinker that possesses strong-problem-solving skills and can summarize information clearly and concisely, both written and verbally Devotion to collaboration and ability to thrive in a team environment while working independently We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office 4 days a week with the flexibility to work remotely 1 day - Friday. For additional information on iCapital, please visit https://www.icapital.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Pasig City, Philippines Job Description: Help guide report strategy, help determine important safety concerns and review medical and medical safety content that will be included or discussed in the report, including but not limited to safety signals, health authority requests, safety-related literature, adverse event case reviews, benefit-risk assessments, and overall medical assessments and conclusions. Work in collaboration with contributing team members, particularly with the reports assigned to the Global Risk Assessment and Safety Physician. Review all stages of the report that are assigned during the report authoring process, record their recommended revisions, and indicate completion of their reviews in the corresponding systems. Key Responsibilities: Provide medical and scientific judgment in the evaluation of data pertaining to the efficacy and safety of Client products including, but not limited to, PBRER-PSURs and benefit-risk evaluations Review and contribute to strategy discussions, including determination of the important safety concerns and review of draft/final data, HA feedback topics, signals, and benefit-risk evaluation. Coordinate with Global Risk Assessment and Safety Physicians regarding PBRER steps and hand-offs and collaborate with other members of the report authoring team. Review the drafts and final reports as assigned and provide feedback, which may include pre-initial, drafts, drafts, final drafts, and final reports as assigned. Qualifications: Requirement: Licensed Medical Physician Experience in Drug Safety and Pharmacovigilance (PV) Concepts, regulatory requirements, research principles, and safety data analysis. 1-3 years of experience in pharmaceutical regulations and R&D processes. Technical Skills: the ability to analyze, interpret, and present complex data in a concise and understandable scientific manner, both orally and in written format, is essential. Attention to detail: diligence in record-keeping and records organization, ability to manage high workload and critical issues, computer literate and proficiency in MS Office applications. Internal and external networking skills: strong collaborative and interpersonal skills, results-oriented and ability to independently create and deliver, ability to thrive in a global, cross-functional environment. Data entry experience desired. Accountability for delivery of results. Decision making and problem-solving skills. Proactive approach/uses own initiative. Manages own work, able to prioritize, plan and organize work assignments and work under strict timelines Ability to follow guidelines, working practices etc. Experience of working with SOP/WI preferred

Location: Remote-Friendly, United States 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 Anthropic Anthropic's mission is the responsible development and maintenance of advanced AI for the long-term benefit of humanity. We are a safety-focused AI company working to build reliable, interpretable, and steerable AI systems. As our compute infrastructure scales to support frontier model training and deployment, we are building a world-class team to design, deliver, and operate the physical facilities that make that possible. About the Role We are looking for a Principal Data Center Architect with deep expertise in Civil, Structural, and Architectural (CSA) design to join our growing infrastructure team. This role is the technical owner for the physical building fabric of Anthropic's AI compute facilities — from the earliest site feasibility studies and test fits through reference design development, design partner oversight, and construction delivery. As Anthropic scales its data center program across multiple sites in the United States and internationally, you will set the civil, structural, and architectural standards that govern how our facilities are designed and built. You will work directly with design-build partners, AE firms, and internal mechanical, electrical, and IT infrastructure teams to ensure our facilities are optimized for high-density AI workloads, constructable on aggressive timelines, and replicable across a growing portfolio. This is an owner's engineer role — you are the technical authority, not a consultant. You will be expected to make binding design decisions, identify problems before they reach the field, and drive standardization across a pipeline of concurrent projects globally. What You'll Do Own the civil, structural, and architectural reference design standards for Anthropic's data center portfolio, establishing repeatable design elements deployable across multiple sites and jurisdictions Lead front-end test fits and site feasibility studies, evaluating structural approaches, site constraints, utility interfaces, and code compliance to inform site selection and design direction Review and approve CSA deliverables from design-build partners and AE firms at each design stage (SD, DD, CD, IFC), including drawings, structural calculations, specifications, and geotechnical reports Integrate CSA design with mechanical, electrical, plumbing, fire protection, and IT infrastructure teams to produce coordinated designs that support high-density AI compute and direct liquid-cooling systems Drive site and campus planning to maximize compute density, optimize construction phasing, and align physical layout with IT and operational requirements Partner with the construction and delivery team to provide technical oversight during construction, resolve field issues, and support commissioning activities Evaluate and develop relationships with design partners, structural engineering subconsultants, and prefabrication / modular vendors; define qualification and performance standards Establish and maintain facility support area standards — logistics staging, loading, maintenance access, and operational support spaces — scaled for hyperscale deployments Identify modular and prefabricated construction opportunities that reduce schedule, cost, and design risk across the project pipeline Manage review cycles and coordinate across internal and external stakeholders to resolve design conflicts and keep projects moving on aggressive timelines Travel to project sites globally for design reviews, construction audits, and commissioning milestones (up to 40%) What We're Looking For Required 10+ years delivering mission-critical facility infrastructure, with at least 6 years directly in hyperscale or large-scale data center CSA design Deep technical expertise across civil site development, structural design, and architectural programming for industrial or mission-critical facilities Demonstrated experience as an owner's engineer or lead technical authority — setting standards, approving deliverables, and managing external design teams Proficiency with applicable building codes and standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdictional requirements across multiple geographies Experience with high-density compute environments, including structural and architectural accommodation of direct liquid-cooling systems, overhead busway, and dense rack deployments Track record of driving design standardization and developing repeatable reference designs across a multi-site portfolio Ability to evaluate and red-line structural calculations, civil site plans, and architectural construction documents for accuracy, completeness, and constructability Experience coordinating across MEP disciplines and IT infrastructure teams in a fast-paced, multi-project environment Clear and direct communication with both technical and non-technical audiences; ability to make and defend design decisions with incomplete information Preferred Licensed Professional Engineer (PE) in civil or structural engineering, or licensed architect (AIA / RA) Experience with prefabricated and modular construction strategies for data center applications Familiarity with geotechnical risk assessment and foundation design for large industrial facilities LEED accreditation, Uptime Institute AOS/M&O certification, or equivalent mission-critical credentials International project delivery experience (Europe, Asia-Pacific, or other regions) Experience reviewing design packages in Autodesk Construction Cloud, Revit, or Navisworks 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 — $405,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Cloud Network and Infrastructure Engineer is responsible for designing, implementing, securing, and optimizing the Bank's hybrid infrastructure across Amazon Web Services (AWS) and on-premises environments. The role ensures the availability, reliability, performance, scalability, and security of enterprise infrastructure while supporting business-critical systems, cloud adoption, disaster recovery, and operational excellence. This role is ideal for someone who has strong expertise in cloud infrastructure, enterprise networking, systems administration, and infrastructure security, with the ability to manage hybrid environments in a fast-paced financial services organization. What You Will Do Design, deploy, administer, and support AWS cloud infrastructure, including compute, networking, storage, identity, monitoring, backup, and security services. Manage on-premises infrastructure, including Windows and Linux servers, virtualization platforms, storage, firewalls, switches, wireless infrastructure, and data center environments. Configure and maintain secure hybrid connectivity between AWS and on-premises environments using VPN, Direct Connect, routing, DNS, load balancing, and network segmentation. Monitor infrastructure performance, availability, capacity, and security using appropriate monitoring and alerting tools. Support business-critical applications through proactive incident management, troubleshooting, and root cause analysis. Implement and maintain infrastructure security controls, including IAM, access management, patch management, vulnerability remediation, encryption, logging, and firewall administration. Develop and maintain backup, disaster recovery, high availability, and business continuity solutions. Automate infrastructure provisioning and operational tasks using scripting and Infrastructure-as-Code (IaC) tools. Maintain infrastructure documentation, architecture diagrams, asset inventories, configuration baselines, and operational procedures. Participate in change management, incident management, problem management, audit activities, and compliance remediation. Optimize infrastructure and cloud costs through resource utilization reviews and capacity planning. Collaborate with Security, Applications, Database, Service Desk, and Business teams to deliver reliable infrastructure services. Requirements What You Bring Educational Qualification Bachelor's degree or Higher National Diploma in Computer Science, Information Technology, Engineering, or a related discipline. Professional Certifications AWS Certified Solutions Architect (Associate or Professional). AWS Certified SysOps Administrator. CCNA or CCNP. CompTIA Network+ or Security+. Microsoft Certified (Azure Administrator), VMware, Linux, or equivalent certifications. ITIL Foundation certification is an added advantage. Experience Minimum of 3–5 years of experience in Cloud, Network, Systems, or Infrastructure Engineering roles. Hands-on experience managing AWS cloud infrastructure and enterprise on-premises environments. Experience supporting hybrid cloud infrastructure within financial services, fintech, banking, or other regulated industries is an added advantage. Professional Competencies Strong knowledge of AWS services, including EC2, VPC, IAM, S3, RDS, CloudWatch, CloudTrail, Route 53, ELB, Auto Scaling, AWS Backup, and Systems Manager. Strong networking knowledge covering TCP/IP, routing, switching, VLANs, VPNs, DNS, DHCP, NAT, firewalls, wireless networks, and network security. Experience administering Windows Server, Linux, Active Directory, virtualization platforms, storage, backup, and patch management. Knowledge of infrastructure automation using PowerShell, Bash, Python, Terraform, CloudFormation, or similar tools. Strong understanding of infrastructure security, access controls, vulnerability remediation, hardening, encryption, logging, and compliance. Experience with infrastructure monitoring, capacity planning, incident response, performance tuning, and root cause analysis. Excellent analytical, troubleshooting, communication, and stakeholder management skills. Strong ownership mindset with attention to detail and the ability to work effectively under pressure. Ability to collaborate across Infrastructure, Security, Applications, Audit, and Business teams while driving continuous improvement. This Role Is Ideal For You If: You enjoy designing, managing, and optimizing cloud and hybrid infrastructure. You are passionate about cloud technologies, networking, and infrastructure security. You enjoy troubleshooting complex technical issues and improving system reliability. You thrive in highly available, mission-critical environments. You enjoy automating infrastructure and improving operational efficiency. You work well across cross-functional teams and can effectively manage multiple priorities. You May Not Enjoy This Role If: You prefer purely application development over infrastructure and platform engineering. You are uncomfortable responding to production incidents or participating in on-call support. You dislike troubleshooting complex infrastructure and networking issues. You are not interested in security, compliance, or operational governance. You prefer highly repetitive work with limited opportunities for continuous improvement. Benefits What's In It For You Opportunity to build and manage enterprise-grade cloud and hybrid infrastructure in a leading fintech organization. Hands-on experience with modern AWS technologies, automation tools, and enterprise networking solutions. Exposure to large-scale infrastructure modernization and cloud transformation initiatives. Opportunity to collaborate with Security, Product, Engineering, and Operations teams on business-critical platforms. Continuous learning, professional certifications, and career development opportunities. Competitive compensation and the opportunity to solve complex, real-world technology challenges.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 As a Technical Recruiter at Anthropic, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Key Responsibilities Develop and execute strategic recruiting plans to identify and source highly qualified candidates Partner with technical and non-technical hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Implement recruiting processes and programs such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic’s employer brand to showcase our mission, culture, and values to candidates Provide an exceptional candidate experience throughout the recruiting process Minimum qualifications Deep full lifecycle recruiting experience, with substantial time supporting technical engineering organizations Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design Sound independent judgment on candidate quality, and the ability to independently partner with multiple hiring managers are complex searches Genuine interest in Anthropic's mission and in the role a strong security function plays in achieving it Preferred qualifications Experience recruiting at a high-growth technology, AI, or machine learning company Working knowledge of the security credential landscape and clear judgment about where those credentials carry signal and where they do not Experience hiring for engineering, incident response, threat intelligence, insider risk, or physical security Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent Comfort using LLMs to accelerate sourcing, research, and market mapping 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: $240,000 — $295,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at very large scale. 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. 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: United States, Los Angeles, 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. Join the award-winning studio that created God of War Sony Santa Monica Studio is looking for QA Sr Analysts to assist in the development testing of our internal projects on the PS5 platform. The QA Sr Analyst is responsible for the execution of high-level/critical test coverage management in support of their assigned projects. The general purpose of this job is to provide a dedicated resource to provide testing expertise for their assigned area of focus and operating as the most experienced, cognitive focused and productive testers on the project. Attention to detail is a critical requirement of the role, as is a highly communicative, amicable, team focused and mature demeanor. We value talent, self-motivation, and team spirit. In turn, we provide an environment with a large degree of freedom, autonomy and growth opportunities. Responsibilities Perform developer support tasks to assist with entry to mid-level development work for your assigned department or area Perform preventive testing support on developer workflows, tools and testbeds to support embedded testing efforts Perform high-level/critical scripted and exploratory test coverage using different testing techniques on assigned projects Perform issue reporting, research, analysis, confirmation and support resolution on assigned projects Perform specialized testing and support requests for your assigned area of focus and/or department Maintain a strong knowledge of the project design and scheduling changes to support QA test effectiveness, focus and reporting Assist in the management of project databases for assigned titles Assist in the planning, tasking, and execution of all operational testing for assigned projects Assist in the execution of project operational reporting and day to day communication Assist in updating test plans and incorporate them into the software testing process Assist in QA administrative and support requests Assist in collaborating work across disciplines within the internal/external development team to help drive project to completion Assist in diagnosing errors and breakdowns in development pipeline and perform technical support as needed Actively develop and improve skill set and abilities by keeping aware of QA industry trends and techniques Minimum Requirements 2+ years in Test or Analyst or equivalent position and successfully shipped at least 2 global, large-scale titles on current generation PlayStation platform(s)Experience with Maya software and toolsets Excellent technical learning agility Excellent understanding of SDLC Excellent gameplay skills Excellent critical analysis skills Excellent communication, organizational, time management, and interpersonal skills Experience with current generation PlayStation platforms and peripherals Experience in quality assurance/control testing Experience in foundation level testing techniques Experience with JIRA database and add-on systems Proficiency in test case design and traditional QA/QC methods Passion for video games Preferred Experience BS Cognitive Science, Computer Science, Communications, BA in Project Management, Business Intelligence, or QA related field Successful completion, certification and application of ISQTB® Foundation Level CTAL or equivalent #LI-SMS #LI-MC1 Avoid Recruitment Scams/Phishing Attempts: Please be aware that any official outreach in response to your application will always be done from a @sony.com email address . Always make sure to double check the spelling on Sony is correct and the characters have not been replaced with any numbers/symbols before replying. Anyone using an email that is not @sony.com is not affiliated with us and should be reported either via the platform they are contacting you on or directly to your email service as a phishing attempt/scam. At SIE, working with our partners, 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 individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $27.22 — $40.87 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 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.