Вакансии

Location: Remote Poland At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team Affirm’s Communications team builds and modernizes the highly available platform that delivers billions of customer messages reliably and on time across the customer journey. As a senior backend engineer, you will shape multi-region, multi-tenant infrastructure, APIs, and vendor integrations that help product teams communicate with customers at scale. What you’ll do You will own and deliver quarterly technical goals for the Communications area, collaborating with teammates to solve ambiguous, open-ended problems across messaging infrastructure. You will design and evolve reliable backend services for high-volume communications across multi-region, multi-tenant environments, including orchestration, delivery, preferences, templates, and observability. You will collaborate with product management, design, analytics, security, and engineering partners throughout the product lifecycle, articulating technical constraints and balancing customer impact, risks, and trade-offs. You will design, implement, and operate resilient integrations with external messaging vendors, balancing reliability, latency, cost, and compliance. You will proactively identify and solve project, process, technology, or business issues that affect scalability, developer experience, and operational resilience. You will support the operations and availability of your team’s services by defining service-level objectives and metrics, improving alerting and incident response, and participating in on-call efforts. You will foster quality and ownership by improving design, testing, code review, rollout, and operational standards, and advocating for them through writing and tech talks. You will help develop talent on your team by providing feedback, mentorship, and technical direction, and leading by example. On-Call Rotation - There would be an on-call rotation for this role as a requirement. What we look for You have 5+ years of experience in software development or engineering, with a deep understanding of system design and architecture. Proficiency in modern programming languages such as Python, Kotlin, or similar. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, DynamoDB, and Kubernetes. You have experience designing multi-region, multi-tenant platforms with strong isolation, scalability, failure recovery, and data-consistency guarantees. You have experience integrating with third-party communications or messaging vendors and designing abstractions that account for different capabilities, rate limits, and failure modes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. You are proficient with AI-assisted development tools and apply sound judgment to validate their outputs. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Total rewards We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future. In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits. Base Pay Grade - N 308,000 zł  -  428,000 zł Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills. In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially. Equity Grade - 4 (awarded in US Dollars) Affirm Holdings, Inc. Equity Grade example Equity grade: 4 New hire equity: $32,000-$48,000 Annual Refresh: $10,000 Reward equity: $0-$150,000 Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month. In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include: Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge. Comprehensive private healthcare through Lux Med's Platinum package. A MultiSport card to support your health and well-being. Learning and development programs to help you grow professionally. Family healthcare support through Maven and parental leave support through Parentaly. Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members. Financial well-being support through Northstar, with unlimited access to Certified. Financial Advisors and planning tools at no cost to you. Employee Resource Groups (ERGs) that foster connection and inclusion. Eligibility for creative tax benefits, subject to applicable law, role, and company policy. Location - Remote Poland The majority of our roles can be located anywhere in Poland. **This job description is not a contractual document, and is not intended to have binding force.** #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote Spain At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team Affirm’s Communications team builds and modernizes the highly available platform that delivers billions of customer messages reliably and on time across the customer journey. As a senior backend engineer, you will shape multi-region, multi-tenant infrastructure, APIs, and vendor integrations that help product teams communicate with customers at scale. What you’ll do You will own and deliver quarterly technical goals for the Communications area, collaborating with teammates to solve ambiguous, open-ended problems across messaging infrastructure. You will design and evolve reliable backend services for high-volume communications across multi-region, multi-tenant environments, including orchestration, delivery, preferences, templates, and observability. You will collaborate with product management, design, analytics, security, and engineering partners throughout the product lifecycle, articulating technical constraints and balancing customer impact, risks, and trade-offs. You will design, implement, and operate resilient integrations with external messaging vendors, balancing reliability, latency, cost, and compliance. You will proactively identify and solve project, process, technology, or business issues that affect scalability, developer experience, and operational resilience. You will support the operations and availability of your team’s services by defining service-level objectives and metrics, improving alerting and incident response, and participating in on-call efforts. You will foster quality and ownership by improving design, testing, code review, rollout, and operational standards, and advocating for them through writing and tech talks. You will help develop talent on your team by providing feedback, mentorship, and technical direction, and leading by example. On-Call Rotation - There would be an on-call rotation for this role as a requirement. What we look for You have 5+ years of experience in software development or engineering, with a deep understanding of system design and architecture. Proficiency in modern programming languages such as Python, Kotlin, or similar. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, DynamoDB, and Kubernetes. You have experience designing multi-region, multi-tenant platforms with strong isolation, scalability, failure recovery, and data-consistency guarantees. You have experience integrating with third-party communications or messaging vendors and designing abstractions that account for different capabilities, rate limits, and failure modes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. You are proficient with AI-assisted development tools and apply sound judgment to validate their outputs. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Pay Grade - N Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). ESP base pay range per year: €86,000 - €122,000 Additional benefits include: • Flexible Spending Wallets for tech, food and lifestyle • Away Days - wellness days to take off work and recharge • Learning & Development programs • Parental benefits • Employee Resource & Community Groups Location - Remote Spain We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; 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 is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team 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: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Участие в профессиональных тренингах — Поддержка внеклассных мероприятий — Подготовка учеников к участию в региональных мероприятиях Требования: — Опыт работы в школе — Умение преподавать на казахском и русском языках

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: Germany Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role As a Sales Engineer, you will be part of our fast growing Go To Market organization and will play a crucial role in expanding our business and ensuring our clients understand and utilize our technology to its full potential. Your work will have a direct impact on our bottom line and customer satisfaction Requirements: Based in Germany (or open to relocation) Proven Sales Engineer experience in cloud, AI, or related tech fields. Exceptional presentation skills for conveying complex ideas in a compelling manner. In-depth knowledge of cloud tech, Kubernetes, and AI/ML concepts. Successful track record in building client relationships and exceeding sales goals. Excellent communication, negotiation, and problem-solving skills. Willingness to travel as needed. Fluency in scripting languages (Python, Bash, Powershell, etc.). Fluency in German Responsibilities : Guide sales teams with technical expertise to ensure clients grasp the value of our products. Conduct captivating product demonstrations, simplifying complex technology for diverse audiences. Customize and deliver persuasive presentations tailored to meet client needs. Evaluate client technical needs, proposing solutions and collaborating with technical teams for customization. Stay ahead of market trends, competitors, and customer needs to keep our solutions relevant and competitive. Represent Cast AI at conferences and trade shows, networking with potential clients and gathering market insights. What’s in it for you? Competitive salary. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Premium health insurance. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote

Vivid is looking for a Key Account Manager to grow and retain SME accounts, deepen client relationships, manage pipelines, and negotiate pricing.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Pontassieve, Italy Keller Executive Search is recruiting for a permanent HR opportunity with an established company in the wine and hospitality sector. Based in Tuscany, our client brings together agricultural, production, commercial and guest-facing operations within an international environment. The business is investing in leadership capability, employee development and a strong, sustainable workplace culture. This is not a conventional HR position. The successful candidate will be a coach-first culture and organisational development partner, working closely with executives, managers and frontline supervisors to strengthen leadership practices, feedback, performance conversations and employee development. You will also lead recurring culture, engagement and performance-development programmes from diagnosis through implementation and measurable follow-through. Reporting to the HR Director with an international dotted-line relationship, you will join a lean HR team and retain meaningful generalist responsibilities. The opportunity suits someone who combines behavioural-science expertise and credible leadership coaching with practical Italian HR knowledge. With broad access to leaders and teams across multiple Tuscan sites, this role offers tangible influence and a potential long-term pathway towards senior HR leadership. Key Responsibilities Build sustained one-to-one coaching relationships with executives, managers and frontline supervisors, including leaders senior to the role holder Coach leaders on feedback, goal setting, career development, performance management and formal employee conversations Lead culture and organisational development programmes from diagnosis and design through implementation, evaluation and improvement Manage recurring employee-listening and performance-development cycles, including survey preparation, launch, reporting and follow-through Translate survey findings into practical, leader-owned departmental action plans and monitor delivery Facilitate leadership, talent and capability discussions across operational and corporate teams Conduct training needs analysis and coordinate development programmes, vendors, e-learning and evaluation within budget Support succession planning and talent-calibration discussions, linking outcomes to development actions Provide accurate first-line generalist HR guidance to managers, applying Italian employment law and relevant collective agreements Support HR reporting, employee-cost budgeting, forecasting and workforce data analysis Provide recruitment and union-meeting support when required without displacing the role's coaching focus Maintain a visible presence across sites and incorporate health, safety and quality principles into daily work Additional Information Hybrid pattern: office attendance Tuesday through Thursday, with Monday and Friday generally used for home working or site travel Travel: approximately 50-60% across Tuscany and 10% outside Tuscany Permanent, full-time position working 40 hours per week The role has no direct reports and reports to the HR Director, with an international dotted-line relationship Requirements Essential Demonstrated end-to-end ownership of culture, engagement or organisational development programmes, including implementation and measurable follow-through Sustained one-to-one coaching experience with managers and leaders, including senior leaders and frontline supervisors Practical HR generalist or HRBP experience covering employee advice, performance processes and HR casework Sound working knowledge of Italian employment law, with the judgement to manage or escalate formal matters appropriately Expert proficiency in Italian and strong professional English, spoken and written A degree in psychology or a related behavioural or organisational field, or an accepted equivalent combining relevant education with substantial coaching practice Relevant HR experience combining organisational development, talent, learning or culture work with hands-on generalist responsibilities Intermediate proficiency in Excel, PowerPoint and Word, plus experience using HR systems and handling people or survey data accurately Availability for permanent, full-time employment and willingness to follow the required hybrid and site-travel pattern Preferred Leadership coaching certification supported by applied coaching experience Experience operating in an international matrix or internationally owned business Experience engaging production, agricultural, plant, hospitality or other multi-site workforces Hands-on experience with Workday or another HRIS Experience supporting succession planning, HR budgets, recruitment or union relationships Background in a mid-sized organisation or similarly lean HR operating model Ideal Candidate Profile You are a credible, psychologically informed HR professional who can challenge and support senior leaders while earning trust across operational teams. Constructive, adaptable and practical, you combine coaching skill with disciplined execution and are equally comfortable facilitating a leadership conversation, interpreting survey data or advising a manager on an Italian HR matter. Benefits Base salary of EUR 60,000 to EUR 70,000 annually, depending on experience, with flexibility up to EUR 75,000 for an exceptional candidate Short-term performance incentive plan Paid leave and employment provisions in accordance with the applicable collective agreement Relocation assistance may be considered for the right candidate Potential long-term development pathway towards senior HR leadership Agency statement Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Employment Opportunity Statement Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, nationality, age, disability, genetic information, or any other characteristic protected under EU law and the laws of the respective EU member states. Commitment to Diversity Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. We recognize and celebrate the cultural diversity across EU member states. Reasonable Accommodations Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities, in accordance with EU Directive 2000/78/EC and national laws of EU member states. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information For client positions, compensation information will be provided in accordance with applicable EU and national laws. When required by law, salary information will be included in job postings or provided during the recruitment process. We are committed to pay transparency and equal pay for equal work, in line with EU Directive 2006/54/EC and national laws on pay equity. Compliance with Laws Both Keller Executive Search and our clients comply with EU laws, directives, and regulations, as well as national laws of EU member states governing non-discrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on any protected characteristic under EU law and the laws of EU member states. This includes, but is not limited to, harassment based on race, ethnic origin, religion, sex, sexual orientation, gender identity or expression, nationality, age, disability, or genetic information. Data Protection and Privacy We process personal data in compliance with the General Data Protection Regulation (GDPR) and applicable national data protection laws. For more information about how we collect and process personal data for recruitment and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Pay Equity Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable EU and national laws. Working Time and Leave We comply with EU Directive 2003/88/EC concerning certain aspects of the organization of working time, as well as national laws of EU member states regarding working hours, rest periods, and leave entitlements. Health and Safety We are committed to providing a safe and healthy work environment in accordance with EU Framework Directive 89/391/EEC on Safety and Health at Work and relevant national laws of EU member states. Works Councils and Employee Representation We respect the rights of employees to form and join works councils and other forms of employee representation in accordance with EU Directive 2009/38/EC and national laws of EU member states. Country-Specific Declarations While this policy provides a general framework applicable across the EU, it's important to note that specific employment laws can vary significantly between EU member states. To ensure full compliance with local regulations, we make the following provisions: 1.     Local Law Compliance: In addition to EU-wide regulations, we comply with all national laws and regulations of the specific EU member state where the employment takes place. 2.     Country-Specific Addenda: For each EU country where we operate, we maintain country-specific addenda to this policy. These addenda outline any additional requirements, protections, or procedures mandated by national law that go beyond or differ from EU-wide standards. 3.     Language Requirements: In countries where local law requires that employment policies be provided in the local language, we will make available a properly translated version of this policy and its country-specific addendum. 4.     Notification of Applicable Laws: During the recruitment process, candidates will be informed of the specific national laws that apply to their potential employment, in addition to EU-wide regulations. 5.     Regular Updates: We commit to regularly reviewing and updating our country-specific addenda to reflect any changes in national employment laws. 6.     Precedence of National Law: Where national law provides greater protection or additional rights to employees beyond what is outlined in this general EU policy, the national law will take precedence. 7.     Specific Declarations: Where required by national law, we will make specific declarations regarding matters such as: Pay transparency and gender pay gap reporting Working time arrangements Collective bargaining agreements Data protection and privacy measures Whistleblower protection mechanisms Any quota systems for underrepresented groups in employment 8.     Access to Information: Employees and candidates can request information about the country-specific policies applicable to their employment or potential employment by contacting assistance@kellerexecutivesearch.com . Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information In accordance with EU and national laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate within the EU. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location within the EU.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire a Junior Compliance & AML Officer to join our team to monitor and ensure compliance with all applicable laws, regulations, and standards. Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options. Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide. Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development. Join the Tigers! What does the job look like? The Junior Compliance & AML Officer will have the opportunity to: Monitor the activities of the Company's, including websites, customer communications, live chats, marketing materials, and operational processes, to identify and address potential compliance issues. Maintain up-to-date knowledge of relevant regulatory requirements and provide practical compliance advice and guidance to internal departments. Support client onboarding by conducting Know Your Customer (KYC) checks, Anti-Money Laundering (AML) screening, due diligence, and risk assessments. Review and investigate alerts relating to potentially suspicious activity and escalate cases to the Anti-Money Laundering Compliance Officer (AMLCO), where appropriate. Assist in developing, reviewing, and maintaining internal compliance policies and procedures, including the Anti-Money Laundering (AML) Manual. Assist with regulatory enquiries and requests, internal audits, and ad hoc compliance reviews across the Group. Support the delivery of staff training and provide guidance on AML/CFT risks, obligations, and awareness. Provide ongoing day-to-day compliance support to internal stakeholders, ensuring a sound understanding of applicable regulatory obligations and best practices. Perform any other ad hoc compliance and AML-related duties as assigned by the Head of Compliance or Senior Management. What will you need to be able to do the job? Academic background in Law, Business, Finance, Economics, or a related field. At least one year of relevant professional experience is required. CySEC certification will be considered an advantage. Candidates who do not currently hold the relevant certification but demonstrate a strong willingness to learn and develop will be supported by the Company in obtaining the AML and/or Advanced CySEC certification. Strong work ethic, with the ability to take initiative, work proactively, and demonstrate a high level of responsibility. Fluency in both Greek and English, with excellent verbal and written communication skills. Excellent presentation skills and the ability to communicate information clearly and effectively. Ability to work independently while also contributing effectively as part of a team. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. What to expect from our recruitment process: First interview with TA and Head of the Department Final interview with top management Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis

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: Germany Job Description: Our Client, a Data & AI strategy and implementation firm is looking for a Senior/Principal Consultant to join their team. This role is key in the technical delivery of high-quality data management solutions for our customers. The Senior Consultant will work directly with clients, leading them through discovery, supporting design and implementation of scalable solutions. This position represents a combination of technical expertise, and ability to interact with customers, ensuring that solutions meet business requirements and deliver strategic value. Expertise in Master Data Management, Data Quality and Data Governance best practices from architectural and functional perspective is of key importance for this role, as well as hands-on experience in configuration of data management products, educating and providing guidance to clients. What You Will Do: Advisory Communicate with business and technical stakeholders to gather requirements, business needs, and strategic objectives Educate stakeholders on technical and functional capabilities of the implemented software platforms, share best practices and drive decision making process Prepare and conduct discovery workshops on specific topics to business and technical stakeholders Map business requirements to technical capabilities, help to adjust customer expectations and support them with recommendations Translate technical information appropriately to different levels of the client organization. Solution Design and Documentation Document requirements, user stories and test plans Develop and document design for solution features including data models, quality, data access rules, workflows and user interfaces and data integration mappings Development and configuration leadership Configure the most critical components of the solution Validate development done by other team members, develop testing and deployment plans Provide oversight during development/configuration activities, testing and production deployment to the rest of the project team, developers and consultants. Pre-Sales Support Prepare customer presentations, proofs of concept, visual materials, and other tools for client presentations for business development purposes Contribute to proposal and statement of work documentation by defining and defending needed scope of work, project approach and effort. Who You Are: Advanced German and English speaker Highly focused on detail and results, with the ability to work with minimal supervision. Demonstrated ability to build relationships with multinational technical team members Advice and guide customer, demonstrate technical expertise and functional knowledge Proactive identifier and communicator of technical risks Demonstrated interest and ability to identify and assist in the sale of new project opportunities Confident to tackle new business or technical challenges. Disciplined curiosity: interest in asking "why" and synthesizing important findings into alternatives and recommendations Excellent oral and written communicator Able to travel to customer locations as needed What You Bring: More than 4 years of experience in the implementation of data management solutions or data management modules of enterprise grade ERP/CRM systems. Preferably - Master Data Management solution implementation using one of the following technologies: Informatica MDM, Stibo Step, Reltio, SAP MDG, TIBCO / Orchestra Experience as a Configuration Specialist and Functonal Consultant Experience driving discovery and design workshop, advisory meetings Experience in SQL development, Java Script and REST API development Experience in data modeling in both customer and product/material data domains Experience in data platforms and analytics (Databricks, Snowflake, etc.) Knowledge of data governance principles and frameworks Experience in integration/migration SAP ERP (ECC and S/4 Hana) Deep understanding of use cases for one or many industries What We Offer: Fast Track to Solution Architect / Managing consultant in growing regional organization Customers are Fortune 500 corporate environments, and project work can occur in groups at customer sites or remotely in small teams.

Location: South Africa; Nigeria; Jamaica; Pakistan; Philippines; Costa Rica About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Job Summary Are you a high-energy communicator who thrives in a fast-paced, high-volume sales environment? We are looking for a remote Sales Development Representative (SDR) to join a world-class culinary education team. Ranked among the Top 3 culinary schools in the USA, this organization empowers everyone from aspiring chefs to business owners through American Culinary Foundation-approved training. As an SDR, you will be the bridge between a student's culinary dreams and their professional reality. You will drive $1.3M in annual revenue by re-engaging past leads and qualifying new prospects, playing a pivotal role in a mission that has already transformed the lives of over 1,400 graduates. Key Responsibilities Execute 150+ outbound calls per day within HubSpot to identify potential students and book qualified meetings. Manage a high-touch outreach strategy for fresh leads, including 1–2 calls daily for the first two weeks, supplemented by strategic texts and emails. Re-engage and nurture older leads to reignite their interest in culinary school and secure appointments. Maintain a minimum show rate of 80% by confirming appointments and solidifying prospect buy-in. Achieve a 25% minimum "live call" closing ratio to hit monthly revenue targets of $108,600+. Track all sales activity meticulously in the CRM and provide daily reports on projections and progress. Participate in daily 9:00 AM MST Zoom huddles to align on goals and strategy. Requirements Proven experience in a high-volume sales environment, specifically making 150+ outbound calls per day. Mastery of CRM software (HubSpot experience is highly preferred). Exceptional communication skills with the ability to build rapport quickly with diverse age groups and backgrounds. A results-oriented mindset with a track record of meeting or exceeding aggressive KPIs and revenue targets. Self-disciplined and capable of maintaining high activity levels in a fully remote work environment. Previous experience in admissions, education sales, or the hospitality industry. Familiarity with organic and paid marketing lead generation methods. A passion for the culinary arts or vocational training. Benefits 💰 Competitive salary 🌎 Fully remote offshore work environment 📈 Long-term stability and salary increase milestones 🎯 Performance-based incentives tied to clear revenue targets

Location: Canada; United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the Company Our client is a high-growth data intelligence and strategic research consultancy that helps organizations turn complex information into measurable business value. Specializing in data activation and platform implementation, the team bridges the gap between technical architecture and commercial strategy. They serve high-stakes industries including financial services, healthcare, and retail by building governed data solutions that drive confident, evidence-led decision-making. Operating with a senior-led model, the firm prioritizes business outcomes over technology checklists, utilizing deep expertise in research design and engineering to solve critical challenges. The team is built on a culture of platform honesty and bounded delivery, moving away from traditional staffing pyramids toward a more focused, impactful approach. This is an opportunity to join a specialized group of practitioners dedicated to transforming how modern enterprises utilize data to achieve clarity and results. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a high-octane Sales Executive to lead a critical expansion phase for a premier digital marketing agency. Having dominated the automotive and collision repair space, the team is now scaling into new verticals. We need a full-cycle closer who thrives in the "zero-to-one" phase—someone who can hunt, consult, and close high-value retainers while leveraging modern AI tools to outpace the competition. This is an opportunity to report directly to GTM leadership and shape the growth trajectory of a fast-moving, distributed agency. Key Responsibilities Execute the full sales cycle from proactive lead generation and outbound prospecting to discovery, proposal, and closing. Identify and penetrate new market verticals, translating the agency's proven success in automotive into fresh industries. Conduct deep-dive discovery sessions to understand client pain points and pitch complex, multi-channel marketing retainers. Manage a clean and rigorous pipeline within HubSpot, ensuring all data is accurate and actionable. Collaborate with the creative and performance teams to ensure proposals are feasible and aligned with client goals. Integrate AI tools into your daily workflow to accelerate prospecting, personalize outreach, and streamline administrative tasks. Requirements Location: Must be based in the United States or Canada. Agency Experience: Proven track record selling professional services within a digital marketing agency environment. Full-Cycle Expertise: Demonstrable experience running the entire sales process; we are looking for a closer, not just an SDR or account manager. Proven Performance: A history of hitting or exceeding quotas with specific revenue numbers to back it up. Tech-Forward: You are an early adopter of AI tools and can articulate how you use them to gain a competitive edge. Digital Literacy: Deep understanding of the digital marketing landscape, including performance marketing, SEO, and creative strategy. Sales Hygiene: Disciplined CRM habits (HubSpot preferred) and a structured approach to pipeline management. Benefits 💰 Competitive salary and uncapped commission structure 🌎 Fully remote work environment 🚀 Career growth and leadership opportunities 📈 Long-term stability in a growing market 🎯 Performance-based incentives and bonuses

Location: Jeddah, Saudi Arabia Eram Talent, a division of ERAM Group, is seeking a skilled Architect to join our team in the Oil & Energy industry. As an independent Talent Acquisition Consultancy, Eram Talent is dedicated to providing outstanding recruitment solutions that satisfy the needs of our clients. With a global reach and network, we specialize in attracting high-potential professionals with sophisticated skills from various industries, including Oil & Gas, Petroleum, Infrastructure, Energy, Water, Transportation, Science & Technology, and Health Care. Responsible for designing architectural works in accordance with the project requirements and international standards in projects. Prepare layout and interior designs for new construction projects, alterations, and redevelopments. They use their specialist construction knowledge and high-level drawing skills to design buildings that are functional, safe, and sustainable. Requirements Bachelor's degree in Architecture Minimum of 5 years of relevant professional experience. Experience in residential projects and high-end finishes Local market and supply chain Proficient in AutoCAD and presentation tools. Strong design, visualization, and detailing skills. Good understanding of construction methods and materials. Excellent coordination and communication skills. Ability to manage multiple tasks and deadlines Excellent communication skills A strong imagination and the ability to think and create new ideas and dimensions Sound analytical skills, accuracy, and attention to detail Good design and drawing skills

Location: Kazakhstan; Armenia; Uzbekistan; Serbia ETG Marketing Hub serves as the central gateway for all marketing activities across ETG’s brands and external channels. We are now launching a new business line — the ETG Marketing Network — enabling advertising placements with leading travel and adtech partners (including display, CTV, mobile, metasearch, social, influencer marketing, and more). Powered by ETG’s rich travel data and booking-level measurement, this network delivers high-impact marketing opportunities. In this role, you will take the network from strategy and pilot projects through to recurring sales and scalable growth. Responsibilities: Strategy and roadmap. Define positioning, priority markets, channels and partners, and set out the stages: pilot, recurring sales, scaling, automation. Partner network. Source, evaluate and onboard adtech/DSP, metasearch, CTV/mobile/social and influencer platforms, including niche and closed inventory. Lead negotiations and manage partner relationships and quality. Monetization model. Structure terms with partners (revenue share, commission, additional margin), model unit economics and own the P&L of the business line. Offers and packages. Package external channels into clear products, including bundles with ETG inventory, and define pricing. Data and measurement. Together with the data, legal and product teams, define how ETG data and audiences are used in external channels, and set up measurement down to bookings. Ensure compliance with data regulations (GDPR and regional rules). Sales together with the Marketing Hub team. Support the sales team: prepare case studies, materials and pitches, and join key deals with hotels, DMOs, airlines and rail operators. Campaign launch and management. Build the process from brief to reporting (media planning, launch, optimization, reporting) and decide what we do ourselves and what we delegate to partners. Internal partners. Work closely with ETG’s marketing and direct supply teams (who interface with hoteliers and hospitality partners), leveraging their expertise and relationships both as routes to new clients and as sources of valuable market insights. Team Development: Begin as a hands-on contributor driving pilot projects and early-stage partnerships. As the business line develops, take the lead in building out a specialist team (including campaign/account managers, analysts, and partnership managers) to support further growth and scale. Requirements 3+ years in adtech/Business Development/partnerships on the side of platform, network, DSP, or agency, with proven deals and negotiations Solid grasp of programmatic and performance metrics (CPA, ROAS, attribution, etc.) at a level sufficient to evaluate partners and verify results personally Clear strategic thinking: defining positioning, packaged offers, pricing, growth roadmap Hands-on: initiating partnerships, running campaigns, supporting sales teams, owning processes and P&L Fluency in English; additional languages are a plus Preferred Qualifications: Experience launching new business lines or products from scratch, especially in settings with limited budget or resources Prior experience in the travel or hospitality industry Benefits Fully remote work; flexible working schedule. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: Dubai, United Arab Emirates We are currently looking for a strong Senior SMM Manager based in Dubai with exceptional visual taste, high content awareness and strong experience in UAE market. We work with global premium and luxury brands (including Bentley, Trussardi, Elie Saab, and others). Key Responsibilities: • Develop content strategies and editorial guidelines across all group brands. • Manage 4+ accounts across multiple platforms (Instagram, LinkedIn, etc.). • Align key content directly with the agency CEO. • Build and optimize internal SMM workflows independently - no micromanagement. • Track channel metrics using specialized SMM analytics tools and platforms to continuously optimize performance. Requirements • Dubai-based experience is required. • Agency background working with diverse clients and products. • Experience in Real Estate or Luxury segments is a strong plus. • Figma proficiency: Practical skills to create or quickly modify layouts, design social media grids, and prepare brief templates for design teams. • Practical experience with SMM analytical platforms. • Languages: Fluent English, Russian would be a plus. • Process-oriented mindset: Ability to build workflows from scratch. • Growth Ambition: High potential and motivation to step into a Team Lead role. Portfolio Requirements: • Agency cases across diverse niches and products. • Strong visual aesthetics and high-end content examples. • Results in Premium or B2B segments are a big plus. Benefits • Competitive salary package. • UAE Residency Visa & Medical Insurance. • Paid annual leave. • Fast career growth within a high-profile, growing company.