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Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Executive for the Northeast region, you'll drive GitLab's enterprise growth by helping some of the area's most influential organizations adopt, implement, and expand their use of our AI-powered DevSecOps platform. You'll focus on strategic enterprise accounts, guiding customers through complex digital and DevSecOps transformations and driving pipeline generation that translates into measurable Net ARR and long-term expansion. In this role, you'll act as a key connector between customer stakeholders and GitLab's field organization so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong enterprise portfolio across your territory, create repeatable sales motions, and consistently forecast and report on deal progress and account health. What you'll do Drive strategic growth by leading GitLab's enterprise accounts across the Northeast, serving as a trusted technology advisor to industry leaders in your territory. Orchestrate winning sales strategies by bringing together Solutions Architects, Customer Success experts, Sales Development, Channel & Alliances, and other technical specialists to deliver transformative, AI-powered DevSecOps solutions. Shape the future of software development by crafting innovative solutions that align GitLab's platform with customers' long-term vision, compliance needs, and business objectives. Build deep, strategic partnerships by mastering your customers' industry landscape, success metrics, and growth trajectories so you can position GitLab as their indispensable technology ally. Design and execute strategic account plans, including opportunity mapping, stakeholder alignment, and multi-threaded engagement, to expand GitLab usage within new and existing major accounts. Lead end-to-end customer journeys from initial discovery through evaluation, negotiation, and successful implementation, ensuring a consistent, high-quality experience at every stage of the sales cycle. Champion continuous improvement by contributing to forecasting and pipeline reviews, conducting sophisticated win/loss analyses, and sharing strategic insights that refine our go-to-market approach. Prepare and deliver compelling customer-facing and internal presentations, proposals, and recommendations that clearly communicate value, business outcomes, and the path to long-term partnership with GitLab. What you'll bring Experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Background selling into large, strategic enterprise accounts in the Northeast United States, with the ability to build trusted C-level and senior stakeholder relationships across business and technical teams. Knowledge of the Northeast enterprise market, including key industries, buying centers, and decision-making dynamics, with the ability to build and nurture a relevant professional network. Ability to drive new business acquisition and expansion within enterprise accounts through consultative, multi-stakeholder sales motions that lead to sustainable, long-term customer partnerships. Experience collaborating with channel and strategic partners to generate pipeline, co-sell, and support successful customer adoption. Effective communication and interpersonal skills, with the ability to lead account strategy, influence internal and external stakeholders, and remain calm under pressure. Ability to work in line with GitLab's values, use GitLab and Salesforce in your daily work, and travel as needed while following company travel policies. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive focused on the Northeast, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across the Northeast region. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $110,800 — $186,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Vulnerability Management Engineer to join our team! About the Role The Vulnerability Management Engineer drives risk-based vulnerability and exposure management across infrastructure, applications, cloud services, endpoints, and software dependencies. The role combines vulnerability data, asset and configuration intelligence, application-security testing, threat intelligence, and AI-assisted analysis to determine whether vulnerabilities are reachable, exploitable, and likely to represent an imminent organizational threat. Key Responsibilities Correlate threat intelligence and vulnerability findings with asset inventory, software configuration, system configuration, application testing, network exposure, ownership, and business criticality. Assess exploitability and reachability rather than relying on vulnerability severity alone. Incorporate exploit prediction, known exploitation, open-source threat intelligence, adversary activity, and environmental context into prioritization. Determine whether exposure requires immediate incident response or remediation under established operational objectives. Use AI-assisted workflows to ingest and correlate vulnerability intelligence against the organization's actual technology configuration while independently validating conclusions. Partner with Red Team to validate practical exploitability of significant vulnerabilities. Identify compensating controls such as configuration changes, access restrictions, segmentation, or filtering when immediate patching is impractical. Automate vulnerability ingestion, analysis, prioritization, remediation tracking, mitigation, and verification where appropriate. Qualifications Experience with enterprise vulnerability or exposure management. Strong understanding of infrastructure, applications, cloud, containers, networking, and software dependencies. Experience interpreting vulnerability intelligence and assessing practical exploitability. Knowledge of risk-based prioritization techniques including CVSS, exploit prediction, known-exploitation intelligence, and environmental context. Experience correlating vulnerability, asset, configuration, SAST, DAST, SCA, endpoint, or related security data. Experience with scripting, automation, or data analysis. Familiarity with continuous exposure management, attack-path analysis, AI-assisted analysis, or automated mitigation is preferred. Strong understanding of OWASP Top 10, MITRE ATT&CK, MITRE D3FEND, and STRIDE. Familiarity with OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, MITRE ATLAS and MAESTRO. At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role You will lead the design and implementation of large-scale, production-grade distributed systems that power AI features for millions of daily users. You'll own the architecture decisions that keep our systems flexible, cost-effective, and robust, direct strategy for distributed systems, and manage technical debt across the AI Products estate. Beyond architecture, your impact lies in lifting the technical capability of the entire AI Products team. You will champion engineering excellence, mentor junior engineers, and collaborate across Xero to enhance data usability - applying modern AI research, including Large Language Models, only once it can be engineered into reliable, production-grade systems. The team You will join the AI Products group, a diverse team of scientists, engineers, product managers, and analysts within our broader Data & Science division. As a Machine Learning Engineer, you'll partner closely with Applied Scientists to build the interfaces and harnesses that safely and reliably transition models from research into production. Together, this collaborative team reduces toil and delivers beautiful, data-driven insights for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - 5+ years building and operating production Python (or equivalent language) services at scale - this is a software engineering role first; strong system design and coding proficiency are non-negotiable - A track record of owning services or pipelines in production, including operational/on-call responsibility, incident response, and managing technical debt over time - Deep understanding of distributed processing principles (Spark, Dask, or similar) alongside strong SQL capabilities - Demonstrated experience integrating ML models or LLM-based features into production systems - you don't need a research background, but you should be comfortable working alongside Applied Scientists to productionize their work - Familiarity with ML tooling such as MLFlow, TensorFlow, or PyTorch, and data orchestration tools like Airflow or Prefect, is valued but production engineering depth matters more than research exposure - Nice to have: prior experience applying or fine-tuning LLMs in a product context, though this is not a substitute for the core software engineering bar above Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Red Team Security Engineer to join our team! About the Role The Red Team Security Engineer continuously validates whether vulnerabilities, configurations, identities, applications, infrastructure, and AI-enabled systems can be exploited by realistic adversaries. The role combines traditional offensive security with AI-assisted and agentic adversary emulation to validate exposure and continuously improve defensive controls. Key Responsibilities Emulate external attackers, malicious insiders, compromised identities, and autonomous adversarial agents. Validate whether vulnerabilities and configuration weaknesses identified are reachable and practically exploitable. Develop and execute realistic attack paths across web applications, APIs, cloud infrastructure, identity systems, endpoints, and other enterprise services. Use AI-assisted and agentic techniques for reconnaissance, vulnerability analysis, attack-path discovery, and controlled offensive testing. Test AI applications and agents for prompt injection, tool abuse, excessive privilege, identity compromise, and other emerging attack classes. Validate compensating controls and mitigations before or after deployment. Conduct purple-team exercises with Security Analytics and Security Operations to validate telemetry, detection, and response effectiveness. Translate offensive findings into actionable improvements to architecture, configuration, detections, and response capabilities. Qualifications Experience in red teaming, penetration testing, adversary emulation, or offensive security engineering. Strong web, API, cloud, identity, operating-system, and network security fundamentals. Experience validating practical exploitability and developing realistic attack paths. Strong understanding of MITRE ATT&CK and modern adversary techniques. Familiarity with OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, and MITRE ATLAS. Scripting or software-development experience. Experience safely using automation or AI-assisted techniques in offensive-security workflows. Experience assessing cloud-native or AI-enabled systems, conducting purple-team exercises, or simulating autonomous adversaries is preferred. At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: 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 largest and fastest-growing infrastructure fleets in the industry — 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 one of Anthropic’s largest areas of spend. 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. Utilization improvements are worth enormous sums at our scale. 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 exabyte 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: 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 Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — 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 one of Anthropic’s largest areas of spend. 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. Utilization improvements are worth enormous sums at our scale. 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 exabyte 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: Mexico City, Cuauhtémoc, Mexico Working at Bitso We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and drive rapid progress inside and outside of our organization. To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy. Your Purpose As an Onboarding Operations Analyst, you will be responsible for supporting the customers registration and onboarding process within Bitso Business. You will actively manage the workflow for account registration, ensuring efficiency and compliance while contributing to strategic improvements that enhance scalability. Your insights will play a key role in enabling Bitso Business accounts to become fully operational. Collaborating cross-functionally, you will optimize workflows, streamline processes, and ensure the seamless execution of daily operations. Your role will be essential in identifying bottlenecks, improving system performance, and driving continuous enhancements across our platform. Also, you are going to be responsible to give support to customers with issues related with access to their accounts, 2FA reset, data updates and so on. Location Mexico City Reports To Business Operations Manager What You Will Do Review and process customer applications for Bitso Business accounts, ensuring all required documents are submitted and validated. Identify inefficiencies in the onboarding process and suggest improvements. Work with tech teams to automate manual processes for faster customer activation. Coordinate with KYB, Compliance, Legal, Fraud, and Tech teams to resolve onboarding issues. Ensure seamless communication between internal teams to accelerate approvals. Assist customers with onboarding-related questions and troubleshoot registration issues. Provide guidance on documentation requirements and eligibility criteria. Track key onboarding metrics such as approval rates, processing times, and bottlenecks. Provide insights to improve efficiency and enhance customer experience. Proactively identify areas for enhancement and contribute to operational strategies. Give support after the account onboarding, with issues related to the accounts access, the activation of new products, data updates… Qualifications 2+ years of experience in an Operations Analyst or similar role. Strong analytical skills and experience with ticket service tools (e.g., Jira, Zendesk). Ability to identify inefficiencies and propose effective solutions to improve processes. Experience tracking threads and customer requests via Slack or email Capability and great communications skills to manage support meetings with customers when necessary. Experience in working with cross-functional teams and managing multiple stakeholders. Knowledge of the cryptocurrency or fintech industry is a plus . Excellent organizational, communication, and time management skills. Ability to adapt in a fast-paced environment and work with evolving priorities. Who We Are With over 10 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products. We are here to make a lasting impact on our customer’s lives and we do so by embracing our core values: Be Human: we delight our customers through great products, deep care and true empathy. We are humble and we take pride in understanding the views of others to help us see the full picture. Drive Change: we're fearless pioneers committed to unlocking the crypto revolution for humanity. We move fast, take risks and work together to drive lasting impact. Choose Bold Honesty: we seek the truth, especially when it’s uncomfortable, in our teams, products and business reality because that will uncover where we need to focus. Be an Owner: our sense of urgency makes us have a bias towards action, where we prioritize exceptionally and are wise in allocating our time to ensure we always deliver creative and innovative results. Learn more about our culture and values . Compensation & Benefits At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products. So for those willing to commit, adapt and pioneer the most important change of the century we offer: Me Time program , including unlimited paid time off. Employee Stock Option program. Extended Family Leave policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave. Premium health, dental and life Wellness platform. Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!

Location: Limassol, Cyprus We are looking for a PSP Operations Specialist to help manage day-to-day payment operations and resolve payment-related issues. You will work closely with our Head of PSP, Support team, developers, and payment providers to investigate failed transactions, coordinate issue resolution, and ensure smooth payment processing. This is a great opportunity for someone with initial experience in fintech, payments, or customer support who wants to develop their expertise in payment operations. Key Responsibilities Monitor payment transactions and investigate failed, declined, or delayed payments. Help the Support team resolve payment-related questions and customer complaints. Check transaction statuses, payment logs, and provider responses to identify potential issues. Communicate with payment providers to investigate problems and follow up on their resolution. Coordinate with developers and other teams to resolve payment-related issues. Track open requests, provide status updates, and escalate complex or critical incidents. Identify recurring payment issues and share findings with the team. Assist with payment performance monitoring, operational reports, and internal documentation. Support operational tasks related to new merchants and payment methods. Manage relationships with Service Providers Requirements Around 1 year of experience in fintech, payment operations, customer support, or a similar role. Basic understanding of payment processing and willingness to learn about PSPs and payment methods. Good analytical skills and attention to detail. Comfortable working with Excel or Google Sheets. Good communication skills and ability to coordinate with different teams. Proactive approach to problem-solving and ability to follow tasks through to completion. Fluent in Russian and strong written English skills for day-to-day communication with international payment providers and partners. Nice to Have Experience in a fintech company or payment service. Basic knowledge of card payments, APMs, or local payment methods. Familiarity with transaction statuses, decline codes, or payment logs. Experience with CRM, ticketing systems, or operational tools. What we offer Full relocation support and working visa sponsorship Competitive salary Days off when you need them What awaits you Working in a small and fast-paced Scrum team A practical role where you can influence how we work with data No bureaucracy - we focus on practical solutions and common sense Pleasant colleagues and a healthy internal culture A non-toxic environment with respect for work-life balance (we turn off Slack during vacations) You don't need to know everything about payment operations from day one. We value curiosity, attention to detail, and a willingness to learn.

Location: Philippines Role Summary We are seeking experienced, detail-oriented Referral & Authorization Coordinators to join our growing Cardiology practice. Unlike a general front desk position, this is a dedicated specialist role that owns the complete lifecycle of office visit referrals and prior authorizations—from initial intake to final scheduling and resolution. Working independently within Epic EMR , you will verify patient insurance eligibility, navigate HMO/PPO authorization rules, coordinate directly with referring provider networks, and keep patients informed throughout the clearance process. Requirements Key Responsibilities Full Lifecycle Referral Management: Receive, triage, and manage high-volume cardiology referral intakes; track requests from initial receipt through authorization approval and closure. Prior Authorization Processing: Submit, track, and secure prior authorizations specifically required for cardiology office visits and specialist consultations in accordance with payer guidelines. Insurance Verification & Eligibility: Conduct comprehensive insurance eligibility, copay, coinsurance, and network benefit verifications across Medicare, Medicaid, and commercial carriers (HMO, PPO, POS). Provider & Patient Coordination: Communicate efficiently with referring physician offices to obtain missing clinical documentation; reach out directly to patients to outline coverage details and next steps. Epic EHR Workqueue Navigation: Maintain daily management of referral workqueues in Epic, ensuring accurate data entry, precise status updates, and meticulous clinical documentation. Payer Escalations & Denial Follow-Up: Proactively contact insurance representatives to resolve authorization delays, clarifying medical necessity documentation to prevent service delays. Highly Preferred Qualifications Epic EMR Expertise: Direct hands-on experience using Epic (specifically Referral and Authorization Workqueues). Enterprise Background: Experience operating within a large medical group, health system, or enterprise clinical setting. Language Skills: Bilingual English/Spanish (required for 2 of the 4 available openings). Specialty Experience: Prior experience in a Cardiology practice or multi-specialty group. Payer Diversity: Exposure to Medicare Advantage, state Medicaid programs, and major commercial payers.

Location: Colombia About the Role We're hiring an Ops & Marketing Project Manager to be the organization backbone of a small, fast-moving team. Plans get made in Slack, work gets briefed in Notion, and the gap between those two is where things quietly die. You're the person who closes that gap. This role sits primarily on the operations side of our home fragrance brand. You'll own wholesale operations end to end, and you'll be the one keeping product development, inventory, and production moving: chasing suppliers, holding timelines, building the project boards, and making sure nothing sits waiting on an answer nobody asked for. You'll also own the marketing calendar and the project flow behind it. Our marketing team moves fast across website, paid, email, and creator work, and it needs someone who makes sure that once something is decided it has an owner, a date, a dependency map, and someone chasing it. You're not deciding what we launch. You're the person who knows the status of everything, without being asked. We're an AI-forward company, and this is an AI-forward role. Claude is part of how this team works every day, not a side experiment. We expect you to build your systems, SOPs, trackers, and reporting with AI in the loop, and to keep finding the places where it takes busywork off your plate and off the plates of the people around you. You don't need a technical background. You do need real curiosity and the willingness to make it part of how you work. What You'll Do Own wholesale day to day: processing orders, charging payments, creating shipments and inbounds, and the customer service that comes with it Create 3PL orders for suppliers, samples, and anything else needed Write the SOPs as you go, so the function can be handed to a dedicated coordinator over time. Designing your own replacement here is part of the job, not a threat to it Product Development, Inventory, and Production Supplier follow-up, cost comparisons, timelines, and project boards across new products and packaging Stay closely on top of production status and timelines, and flag slippage early enough that we can do something about it Support inventory operations and learn the fundamentals of production from the team, with room to take on more here over time The Marketing Calendar Own a single calendar across brands and channels: website, paid creative, email and SMS, creator and UGC, promotions, and product launches Hold the dates. Work backwards from the launch date rather than forwards from today, so creative, approvals, and builds land in the right order Turn strategy into briefed work. When a plan arrives as ten line items with five names attached, you break it into owned tasks with real dates and confirm who has what Catch collisions before they cost a day: duplicate briefs, two designers on the same asset, work blocked on an approval nobody requested Run the weekly cadence. What shipped, what slipped and why, and what's at risk next week, published without being asked for it Systems, Notion, and AI Own Notion as the system of record for these areas: structure, templates, status hygiene, and getting people to actually use it Build real systems where only informal structure exists today, then keep them alive. A board nobody updates is worse than no board Use AI to build and run those systems, from drafting SOPs and briefs to pulling together reporting and tracking what's outstanding Keep creator and partnership records, contracts, and payments accurate and moving, in step with finance and the partnerships team Requirements What We're Looking For Exceptional organization. This is the single most important quality for this role 3+ years managing multiple concurrent projects across teams Operations experience in e-commerce, consumer brands, wholesale, or supply chain Direct marketing experience, ideally owning or running a marketing calendar across channels You already use AI seriously in your own work, and you can show us how. We care more about how you think with it than which tools you've touched Hands-on Notion experience. You've built databases and views that other people relied on, not just filled in someone else's Experience working inside a CRM and keeping it clean and current (Folk, HubSpot, Salesforce, Klaviyo, or similar) Strong follow-through. You're persistent with suppliers, vendors, and teammates until you get an answer The instinct to surface problems early, with a recommendation attached Strong written communication. Most of this job happens in writing, across time zones Strong English communication skills Strong Excel and Google Sheets skills, and comfort across Word, PowerPoint, and Google's suite of tools Nice to Have Wholesale or B2B operations experience, including basic customer service Familiarity with Shopify, Cin7, Klaviyo, or Figma Experience with product development or packaging timelines Benefits 💰 Competitive salary in USD 🕒 Flexible working schedule 🌎 100% remote, long-term career opportunity

Location: Serbia; Estonia; Montenegro; Kazakhstan FREEDOM FINANCE TECHNOLOGIES is a Cyprus-based fintech company and part of the international financial holding Freedom Finance. We develop and maintain trading and banking IT products, as well as the holding’s IT infrastructure worldwide. Our team currently consists of 170 professionals.  Over the past three years, we have grown fourfold and continue to actively expand our team. Since 2009, we have been developing our core product - a trading system for brokerage operations in the stock market. More than 700,000 users across 41 countries use our applications. We are expanding our IT Infrastructure team and are looking for a Network Engineer to support, develop, and modernize our corporate office network. Our office network is built around a centralized FortiGate core located in the data center and managed by a dedicated team. At the office level, we primarily use MikroTik and Ubiquiti equipment. We are looking for someone who can bring consistency and order to the network infrastructure by improving segmentation, implementing high availability, automating monitoring, and keeping documentation up to date. Key Responsibilities: Network Operations & Development Administer and develop the office network infrastructure (primarily MikroTik, with Ubiquiti deployed in several locations). Network Optimization Reconfigure network segmentation across all office locations, optimize the existing infrastructure, and eliminate bottlenecks. High Availability Design and implement high-availability solutions for network equipment and WAN connectivity. Monitoring & Automation Deploy network monitoring systems and introduce additional services to simplify network administration. Documentation & IP Address Management (IPAM/Wiki) Maintain and update the corporate knowledge base (Wiki), keep network diagrams for major office locations current, and manage the organization's IP address space (IPAM). New Office Deployments Remotely prepare and configure network equipment for new office openings. Collaboration Work closely with Internet service providers (ISPs) and the team responsible for the data center network core. Troubleshooting Diagnose and resolve incidents related to network infrastructure and associated services. Requirements Strong MikroTik Expertise Hands-on experience configuring, routing, and troubleshooting MikroTik RouterOS environments. Experience with Ubiquiti Solid understanding of configuring and managing UniFi and Edge product lines. Strong Networking Fundamentals In-depth knowledge of TCP/IP, the OSI model, routing, VLANs, VPNs, firewalls, and NAT. Practical experience designing and supporting high-availability environments, including link redundancy and load balancing. Linux Administration Solid experience with Ubuntu Linux, including network service configuration and basic server administration. Documentation Skills Experience with IP address management solutions (NetBox, phpIPAM, or similar) and maintaining network documentation and diagrams (Confluence, Notion, draw.io, Visio). Monitoring Systems Experience deploying, configuring, and customizing monitoring platforms such as Zabbix, Prometheus/Grafana, Nagios, or equivalent solutions. English — B2 (Upper-Intermediate) or higher Ability to communicate effectively in written English with external vendors and colleagues. Most day-to-day communication is conducted in English. Self-Driven & Organized Ability to work independently, take a structured approach to problem-solving, and maintain well-organized infrastructure and documentation. Excellent written and verbal Russian is essential for this role Nice to Have Experience with IP telephony, including Asterisk administration and configuration. Relevant certifications such as MTCNA, MTCRE, CCNA, or equivalent. Understanding of FortiGate architecture and operation to collaborate effectively with the data center networking team. Basic automation skills using Bash, Python, or Ansible to streamline routine operational tasks. Benefits Fully remote work. Daytime and evening working hours according to the Moscow time zone. A service contract with a Cyprus-based company. Fixed monthly salary in euros. Paid annual leave of 21 working days. Paid sick leave. Public holidays: New Year holidays until January 4–6, plus May 1–2 or May 8–9. One additional paid day off per month. Coverage of professional training courses related to your area of work. Coverage of participation in professional online conferences. Training on products and processes. A genuinely comfortable and professional working environment. Opportunities to grow and develop alongside the company and its products.

Location: Limassol, Cyprus Freedom24 is a trusted online broker with expertise in the US, European, and Asian stock markets, registered in Cyprus, and offers a broad range of services in the financial markets. Freedom Team is a union of highly qualified professionals on the market, bursting with vibrant energy and pioneer ideas. All of us are goal-oriented with a strong belief in teamwork power built on the strength of each of us. We work in a fast-paced environment and within cross-functional teams. We are dedicated to achieving the best possible result, and no one thinks he doesn’t make a change. If you feel like you’re a good fit for us and we are a good fit for you, go ahead and check this position out. About the Role We are looking for a Head of Budget & Cost Control to lead our budgeting and cost control function. Reporting to the CFO, you will manage the company-wide budgeting process, track how budgets are spent and drive cost efficiency across the business. You will lead the budgeting and cost control team and give management accurate, timely financial insight. 1. Budget Planning & Management Implement and improve budgeting methods for operational, investment (CAPEX) and financial budgets in line with the company's financial policies. Prepare and consolidate the company-wide budget, including forecasts, scenario analysis and investment models. Run the full planning cycle: set tasks, define timelines and make sure deadlines are met. Develop, update and maintain internal policies and procedures for budgeting and cost control. 2. Budget Control Run monthly variance analysis (actual vs. plan), find the root causes and recommend specific actions. Monitor budget limits and escalate overspends. Support the automation and digitalization of budgeting and cost control processes using ERP and BI tools. 3. Cost Control & Optimization Carry out regular cost reviews and efficiency assessments for departments, projects and products. Identify and propose initiatives that improve efficiency and reduce operating costs. Implement cost-reduction initiatives and track and report the savings achieved. Monitor compliance with budget and financial policies and procedures. 4. Financial Analysis & Reporting Prepare management reports for senior management. Build financial models and assess the profitability of projects and capital investments. Provide analysis to support the company's long-term financial strategy. 5. Team Leadership Lead and develop the budgeting and cost control team. Mentor team members, assign responsibilities and evaluate performance. Requirements Must-have Degree in Economics, Finance, Accounting or a related field. More than 5 years of experience in budgeting, controlling, FP&A or financial management (an audit background is welcome); 2–3 years managing a team. Strong hands-on budgeting experience: operating budget, CAPEX/OPEX and cash flow. Solid management accounting and variance analysis skills. Strong financial modeling skills and advanced Excel. Experience with a major ERP system (e.g. SAP, Oracle or 1C), invoice management systems (e.g. SAP Concur, Coupa or Emburse) and a BI tool (Power BI or Tableau). Clear communicator, confident presenting to senior management. Highly organized, with strong attention to detail. Nice-to-have ACCA, CIMA or CPA (completed or in progress). Experience in financial services companies (e.g. investment firms, asset managers, banking, payments or fintech). Experience with 1C and SAP Concur specifically. Knowledge of ABC/ABM or driver-based budgeting. Knowledge of IFRS. Experience setting up budgeting processes from scratch. Benefits Work in a modern office in the center of Limassol with an open-minded and professional team; Relocation package, including reimbursement for flights and accommodation for 1 month; Visa sponsorship for the employee and their family members; The company covers 50% of the annual cost of the health plan, which the employee can choose with any insurance company; Company-provided life insurance; 21 working days of paid vacation; 12 additional days off per year, provided by the company; Paid sick leave; Team-building activities, corporate events, football and volleyball clubs, sports events, and challenges.

Location: Russia You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. Best Relationship– Winter 2024 Leader Americas Winter 2024 Best Results – Winter 2024 Best Usability – Winter 2024 About the Role: As a Product Marketer for DBSync, you will play a pivotal role in crafting and executing marketing strategies to drive the acquisition, adoption and success of our software products. This role requires a good understanding of data operations and management practices, and familiarity with SaaS apps, databases and data clouds. You will be responsible for creating compelling messaging and campaigns that resonate with our target audience of technical professionals. Job Responsibilities: Craft and deliver product messaging focused on data replication and Change Data Capture (CDC) solutions through various channels, including webinars, videos, and educational content. Comfortably present and host webinars and videos to educate customers on our product capabilities and benefits. Analyze market trends, customer behavior, and competitor offerings to inform marketing strategies. Collaborate with cross-functional teams to create go-to-market plans for new product launches, feature updates, and demand generation. Define target customer segments, value propositions, and distribution channels. Create a wide range of marketing collateral, including product demos, data sheets, whitepapers, blog posts, and videos. Develop presentations, and training materials to empower the sales team with product knowledge and value propositions. Plan and execute marketing campaigns that generate leads and drive customer engagement. Use data and analytics to track campaign performance, ROI, and other relevant metrics. Support account-based marketing (ABM) initiatives and foster growth through customer advocacy. Skills and Qualifications: Bachelor’s degree in computer science, engineering, or related field; MBA with specialization Overall professional experience: 3–5 years, with a strong preference for backgrounds in Strategy, Marketing, or Technology. Min. 2-3 years of experience working in SaaS companies Good technical acumen with good communication skills General understanding of SaaS apps, cloud platforms (Snowflake, Azure, AWS, Redshift), and databases (MySQL, SQL Server, PostGreSQL) Experience working with Salesforce and D365+ is good to have Prior experience in technology consulting or enterprise technology marketing is highly desirable. Exceptional written and verbal communication skills, with the ability to distill technical concepts into clear and engaging messaging. Strong technical aptitude and understanding of DataOps, data management practices, databases, and data clouds. Experience in hosting webinars, creating videos, and delivering technical presentations. Proficiency in marketing tools, analytics platforms, and CRM systems. Strong project management skills and ability to collaborate across cross-functional teams. Job Location: Eastern Europe (Remote) Work Shift: U.S Shift (8:00 AM CST to 5:00 PM CST)

Location: Houston, United States EnerMech is a global provider of specialist engineering, technical and integrated services to the energy and infrastructure sectors. With operations across multiple international markets, we deliver innovative solutions that help our clients improve operational efficiency, safety and asset performance. Our services include mechanical, electrical and instrumentation solutions, lifting and inspection services, and specialist industrial services, including nitrogen and pressure testing operations. At EnerMech, we are committed to delivering operational excellence through our highly skilled workforce, strong safety culture and focus on quality. We offer opportunities to work on challenging projects alongside experienced professionals in a dynamic, safety-focused environment. Key Responsibilities Operate nitrogen pumping equipment safely and efficiently at various job sites. Set up, monitor and shut down nitrogen pumping units in accordance with operational procedures. Monitor pumping pressures, flow rates and equipment performance during operations. Conduct pre-operational and post-operational inspections of nitrogen pumping equipment. Perform routine maintenance and basic troubleshooting to ensure equipment reliability. Ensure compliance with all company HSE policies, client requirements and safety procedures. Maintain accurate pumping logs, operational records and service reports. Carry out equipment rig-up, pressure testing and rig-down activities. Communicate effectively with supervisors, team members and clients regarding job requirements and operational activities. Participate in toolbox talks, risk assessments and ongoing safety training. Requirements Minimum of 3 years' experience as a Nitrogen Pump Operator, preferably within the oil & gas industry. Proven experience operating high-pressure nitrogen pumping equipment. Strong understanding of nitrogen pumping operations, pressure control and flow rates. Ability to inspect, maintain and troubleshoot nitrogen pumping equipment. Knowledge of nitrogen handling procedures and associated safety risks. Experience in equipment rig-up, pressure testing and rig-down. Ability to work independently and as part of a field operations team. Strong commitment to safety, reliability and operational efficiency. Good communication skills and a proactive, hands-on approach. CDL (Commercial Driver’s License) is preferred.

Location: Serbia; Montenegro; Georgia; Armenia Libertex Group Overview Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview We are looking for a Junior Payments Analyst who will help monitor payment activity, reconcile transactions, handle payment-related queries, and coordinate with payment service providers (PSPs). Working alongside experienced colleagues, you will develop practical knowledge of online payments and take ownership of clearly defined operational tasks. This role is suited to someone early in their career who enjoys working with numbers, pays attention to detail, and follows tasks through to completion. You will receive guidance on our systems and procedures, with support available for complex or unfamiliar situations. Responsibilities Check PSP balances daily and flag funding needs to the team. Monitor payment performance, help investigate transaction issues, and perform daily reconciliations. Process routine manual settlements, refunds, and financial adjustments in line with internal procedures and approval requirements. Handle payment-related requests from internal teams, including transaction tracing, refund enquiries, and requests for Acquirer Reference Numbers (ARNs). Monitor shared payment inboxes, respond to routine queries, and route requests to the appropriate teams, following up where required. Coordinate with payment providers on operational issues, account documentation, and routine updates. Track PSP notifications, including technical changes, payment limits, country availability, and contractual notices, and share relevant information with the appropriate colleagues. Collect monthly fee information, reconcile invoices, and prepare regular reports. Manage assigned tasks and recurring responsibilities through to completion, keeping task records up to date and meeting agreed deadlines. Communicate promptly about blockers, potential delays, and changes in workload, and ask for guidance or additional tasks when needed. Requirements Experience in payments, finance operations, reconciliation, or a related support role is an advantage, but is not essential. Comfortable working with numbers and checking data accurately. Working knowledge of Microsoft Excel, including formulas, filters, and basic data analysis. Good written and spoken English for day-to-day communication with colleagues and external providers. Good organisational skills, with the ability to manage routine tasks, follow up consistently, and meet agreed deadlines. A responsible and proactive approach: you keep track of your assigned areas, ask questions when something is unclear, and raise issues early. Clear and responsive communication, including keeping colleagues informed of progress and expected follow-up times. Willingness to learn, follow established procedures, and seek support for unfamiliar or complex cases. A degree in Finance, Mathematics, Economics, or a related field is a plus. Benefits Quarterly bonuses based on Company performance Medical Insurance Plan with coverage for the employee and their immediate family from day one (Montenegro based) 24 working days of annual leave Corporate events and team building activities Udemy Business unlimited membership & language training courses Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: Paris, France Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the client Our client is a leading player in the online gaming and betting industry, operating one of the largest poker and sports betting platforms in Europe. Their platform serves hundreds of thousands of active users monthly and relies on highly scalable, real-time distributed systems designed to handle massive traffic volumes with high availability and low latency. The company combines strong technical excellence with a fast-moving product environment and offers engineers the opportunity to work on complex distributed architecture challenges at scale. About the Role We are looking for an experienced Senior Backend Engineer to join the Poker engineering team and contribute to the d e sign, development , and optimization of highly scalable microservices powering a large-scale real-time gaming platform. You will work on distributed, event-driven systems handling high-throughput traffic and real-time messaging workloads, while collaborating closely with infrastructure, frontend, data, and security teams. This role is ideal for engineers passionate about backend architecture, scalability, distributed systems, and high-performance platforms. Contract : PERMANENT - CDI Model : Onsite, 4 days week! Location : Paris, France (75007) Hiring Process: 4 interviews - HR screening, 2 Technical Interviews, Final Meeting and Offer Discussion NOTE: high preference for candidates who attended CPGE scientifiques — Classes Préparatoires aux Grandes Écoles scientifiques. Key Responsibilities Design and evolve the architecture of distributed backend systems Develop highly available and scalable microservices Build and maintain APIs and data models Work on real-time event-driven systems with high throughput requirements Implement unit, integration, and end-to-end testing Participate in code reviews and technical discussions Deploy and maintain services in AWS environments Monitor, troubleshoot, and optimize platform performance Contribute to architecture and technical documentation Collaborate with Frontend, Data, Infrastructure, Security, and Product teams Requirements Significant experience in developing back-end services on a high-traffic platform (10K+ req/s) Significant experience with load balancing, high availability, scaling, caching, database, and storage issues Proficiency in event-driven distributed architectures Proficiency in Redis or Kafka (data structures, pub/sub, streams, pipelines) Proficiency in relational databases (MySQL or PostgreSQL), modeling, optimization, transactions, and locks Knowledge of JavaScript and the Node.js ecosystem is desirable (microservices rely on Node.js) Knowledge of the cloud environment DevOps culture (CI/CD, Docker, Observability) Mandatory academic background from CPGE scientifiques (Maths Sup / Maths Spé) Benefits Permanent full-time contract (CDI) 4-day work week Profit-sharing and participation programs Company restaurant On-site gym facilities Long-term growth opportunities Modern engineering culture focused on scalability and innovation

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for a detail-oriented Business Analyst – AI Evaluation Specialist to support a project focused on assessing and comparing chatbot responses. You will evaluate multiple AI-generated outputs against defined business requirements and quality criteria, analyze business processes, and deliver structured assessments that help improve the accuracy and usefulness of AI systems. The ideal candidate combines strong business analysis, data interpretation, requirements documentation, and critical evaluation skills with the ability to communicate clear, evidence-based conclusions. Key Responsibilities Gather, analyze, and document business requirements, stakeholder expectations, and project objectives. Compare multiple chatbot responses and assess their accuracy, relevance, completeness, and alignment with defined evaluation criteria. Conduct structured evaluations and provide clear, evidence-based final assessments of AI-generated outputs. Translate business requirements into functional specifications, evaluation criteria, and actionable documentation. Analyze workflows, business processes, and data to identify gaps, inefficiencies, and improvement opportunities. Create reports, dashboards, process maps, and other project documentation. Support project planning, testing, implementation, and user acceptance testing (UAT). Collaborate with technical teams and business stakeholders to ensure project requirements are understood and met. Track project progress, risks, dependencies, and key performance indicators (KPIs). Present findings, insights, and recommendations to support informed decision-making. Maintain consistent evaluation quality and meet project deadlines and task completion targets. Requirements Bachelor's degree in Business Administration, Finance, Computer Science, or a related field. At least 3 years of professional experience as a Business Analyst or in a similar analytical role. Strong analytical thinking, problem-solving, and decision-making skills. Proficiency in Excel and experience with SQL, Power BI, Tableau, or comparable analytical and reporting tools. Experience gathering requirements, documenting functional specifications, and mapping business processes. Strong attention to detail and the ability to compare complex information against defined criteria. Excellent written communication, reporting, and documentation skills. Ability to collaborate with cross-functional teams and manage multiple priorities independently. Willingness to work five days per week, including weekends when required, with two weekdays off during the project.

Location: Barcelona, Spain; Warsaw, Poland; Limassol, Cyprus Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE* , we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. About the Role We are looking for a detail-oriented Accounting Specialist to join our Finance team. In this role, you will be responsible for bank reconciliations, processing supplier invoices, resolving discrepancies, and supporting month-end closing activities. You'll help ensure accurate financial records and smooth day-to-day accounting operations. Key Responsibilities Bank reconciliation Import bank statements and reconcile all company bank accounts to the general ledger on a daily or weekly basis. Investigate and resolve unmatched transactions, suspense items and discrepancies, posting corrections with proper support. Monitor ageing of open items and escalate anything unresolved after 10 days. Accounts payable and invoice processing Receive supplier invoices from all channels and register them accurately in the ERP. Check each invoice for correct legal entity, VAT details, amounts, bank details and potential duplicates. Route invoices to budget holders for approval and follow up on delayed approvals. Reconcile supplier statements and resolve differences. Respond promptly and professionally to supplier queries on invoices and payments. Month-end procedure Support the month-end close with AP accruals, reconciliations and schedules. Provide documentation for internal and external audits. Requirements Degree in accounting, finance or economics (completed or currently in progress), or an equivalent professional qualification. At least 1.5 years of experience in bank reconciliation, accounts payable or general accounting. Solid understanding of double-entry bookkeeping, VAT and invoice compliance rules. Hands-on experience with an ERP or accounting system. Exceptional attention to detail and a persistent, analytical approach to resolving discrepancies. Ability to manage a high volume of transactions and meet deadlines. Fluent in English and Russian (proficiency in additional languages is considered an asset). What We Offer Opportunity to shape the future of fintech solutions within a growing company. A collaborative and supportive team environment. English / Spanish classes. Opportunity to receive reimbursement for work-related training/courses. * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.