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Location: Odessa Workplace: remote CSM Ukraine is looking for self-motivated and skilled seafarers to join our expanding fleet of Columbia Shipmanagement.    JOB DESCRIPTION & QUALIFICATIONS   Responsible for navigation safety and voyage planning, including chart corrections and publications Assists Chief Officer in cargo operations, inspections, and safety duties Responsible for the safety equipment and Voyage plan of the vessel. Holder of valid COC (STCW Reg II/1) with verification. Holder of valid STCW certifications required for the position. Good communication and leadership skills. Fluent in written and spoken English language. Experience with multicultural working environment. Safety culture and mindset.   VESSEL'S SPECIFIC REQUIREMENTS   Minimum experience requirements: 12 months in Rank with the same type/size of vessel. Experience in trading area USA and Australia is recommended   CONTRACT TERMS & CONDITIONS   Contract Duration [6 months +/- 1 months] Contract Benefit: competitive salary Terms and condition as per CBA applicable Free Internet onboard and wellbeing support   You may include with your application any reference, specific job qualification, and your availability date.   Looking forward to welcoming you in the Columbia Group Family.

Location: Tokyo Workplace: hybrid Field Marketing Manager｜Job Description English follows Japanese   ポジション概要 日本市場におけるField Marketing戦略の企画・実行をリードするポジションです。 業界イベント、カンファレンス、セミナー、ウェビナー、ラウンドテーブル、顧客向けイベント、パートナーイベントなど、さまざまなリアル・オンラインのマーケティング施策を通じて、ブランド認知の向上、リード獲得、顧客エンゲージメント、Pipeline創出、Revenue Growthに貢献します。他チームと連携し、ターゲット顧客に適した施策を企画し、実行から効果測定・改善まで一貫して担当します。本ポジションの勤務地は日本・東京です。     ABOUT US（会社概要）   Xsolla（エクソラ）は、ビデオゲーム業界が抱えるさまざまな課題を解決するために設計された、強力なツールとサービスを提供するグローバルなコマース企業です。インディーからAAAタイトルまで、あらゆる規模の開発会社が、資金調達、配信、マーケティング、マネタイズにおいてXsollaと提携しています。「ゲームの未来を信じる」という理念のもと、Xsollaは、ゲーム開発者により多くの機会とリソースを提供し続けることを使命としています。本社は米国カリフォルニア州ロサンゼルスにあり、商取引の記録管理を担う企業（Merchant of Record）として、これまでに1,500社以上のゲーム開発者が、より多くのプレイヤーにリーチし、ビジネスの成長を実現するサポートを行ってきました。Xsollaは、収益化の多様な選択肢と成功への道筋を提供し、開発者が“ゲームを楽しむ”ために必要なすべてを支援しています。詳しくはhttps://www.xsolla.com をご覧ください。      Field Marketing Manager, Japan   Position Overview We are looking for a Field Marketing Manager, Japan to lead the planning and execution of field marketing initiatives that drive brand awareness, customer engagement, lead generation, pipeline creation, and revenue growth in the Japanese market. This role will manage a broad range of field marketing activities, including industry events, conferences, seminars, webinars, roundtables, customer events, and partner programs. The ideal candidate will go beyond simply organizing events. They will understand why an initiative matters, who we need to reach, what business outcome we want to achieve, and how we measure success.　This role is based in Tokyo, Japan     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and have helped over 1500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. RESPONSIBILITIES（職務内容） 1. Field Marketing Strategy 日本市場におけるField Marketing戦略・年間計画の策定 Global / APAC Marketing戦略とJapan Business Strategyとの連携 ターゲット業界、企業、顧客セグメントに基づいたField Marketing施策の企画 Event、Seminar、Webinar、Roundtable、Customer Eventなどのチャネルを組み合わせたIntegrated Campaignの企画 Field Marketing活動のKPI設定と継続的な改善 2. Events & Experiences 業界カンファレンス、展示会、セミナー、Networking Eventなどの企画・運営 Xsolla主催イベントおよび外部イベントへのスポンサーシップの企画・管理 イベントの目的設定、ターゲット設定、コンテンツ企画、集客、当日の運営、Follow-upまでの一貫した管理 イベントパートナー、Agency、Vendorとの調整・管理 Speaker、Customer、Partnerなどのステークホルダーとの調整 イベント後のLead Follow-upおよびSalesとの連携 3. Demand Generation & Pipeline Eventを活用したLead GenerationおよびPipeline Creation Pre-event / During-event / Post-eventのCampaign設計 MQL、SQLなどのBusiness KPIのトラッキング イベント参加者を継続的なCustomer Journeyにつなげる施策の設計 4. Content & Thought Leadership イベントやセミナーのテーマ・コンテンツ企画 Customer、Partner、Industry Expertとのコンテンツ制作 Panel Discussion、Roundtable、Executive Sessionなどの企画 日本のゲーム業界におけるXsollaのThought Leadership強化 Global / Regional Contentの日本市場向けローカライズ、翻訳等 5. Customer & Partner Marketing 既存顧客・パートナー向けイベントの企画 Customer Success Stories、Case Study、Customer Panelなどの企画 Key AccountとのRelationship Buildingを支援するExecutive Eventの企画 Strategic Partners、Industry Organizationsとの共同マーケティング Japan Gaming EcosystemにおけるXsollaのNetworkとVisibilityの向上 6. Budget & Vendor Management Field Marketing / Event Budgetの計画・管理 Event SponsorshipおよびVendor / Agencyの選定・交渉・管理 予算配分の最適化 Global / RegionalのBudget ProcessおよびApproval Processへの対応 1. Field Marketing Strategy Develop and execute the Field Marketing strategy and annual plan for the Japan market. Align Japan Field Marketing activities with Global / APAC Marketing strategies and Japan business objectives . Plan Field Marketing initiatives based on target industries, companies, and customer segments. Develop integrated campaigns combining events, seminars, webinars, roundtables, customer events , and other channels. Define KPIs for Field Marketing activities and continuously improve performance. 2. Events & Experiences Plan and execute industry conferences, trade shows, seminars, networking events, and other customer-facing experiences. Plan and manage Xsolla-hosted events and external event sponsorships . Manage the entire event lifecycle, including defining objectives and target audiences, content planning, attendee acquisition, on-site execution, and post-event follow-up. Coordinate and manage event partners, agencies, and vendors. Coordinate with key stakeholders, including speakers, customers, and partners. Manage post-event lead follow-up and collaborate closely with Sales. 3. Demand Generation & Pipeline Drive lead generation and pipeline creation through event and Field Marketing activities . Design and execute pre-event, during-event, and post-event campaigns . Track key business KPIs, including MQLs and SQLs . Design initiatives that connect event attendees and engagement to an ongoing customer journey . 4. Content & Thought Leadership Develop themes and content for events, seminars, and other customer-facing programs. Create content in collaboration with customers, partners, and industry experts. Plan and execute panel discussions, roundtables, executive sessions , and other thought leadership programs. Strengthen Xsolla's thought leadership and visibility within the Japanese gaming industry . Localize and translate Global / Regional content for the Japanese market. 5. Customer & Partner Marketing Plan and execute events and engagement programs for existing customers and partners. Develop Customer Success Stories, Case Studies, Customer Panels , and other customer-focused initiatives. Plan executive-level events that support relationship building with key accounts . Develop joint marketing initiatives with strategic partners and industry organizations . Strengthen Xsolla's network, visibility, and presence across the Japan gaming ecosystem . 6. Budget & Vendor Management Plan and manage the Field Marketing and Event budget . Select, negotiate with, and manage event sponsors, vendors, and agencies . Optimize budget allocation based on business priorities and performance. Manage and comply with Global / Regional budget and approval processes . QUALIFICATIONS（応募要件） 応募要件 5年以上のB2B Marketing / Field Marketing / Event Marketing経験 Technology、Gaming、SaaS、Platform、FintechなどのB2B企業での経験があることが望ましい カンファレンス、展示会、セミナー、Networking Event、Roundtableなどの企画・運営経験 Event / Field MarketingをLead Generationにつなげた経験 Marketing Budget、Agency、Vendor、Event Sponsorshipの管理経験 複数のStakeholderを巻き込み、プロジェクトを推進できる高いコミュニケーション能力 戦略立案だけでなく、自ら手を動かして実行できるHands-onな姿勢 言語 日本語：ネイティブレベル 英語：ビジネスレベル以上 求める人物像 自ら考え、主体的に行動できる方 「イベントを開催すること」ではなく、Business Impactを考えてMarketing施策を設計できる方 変化の多い環境でも柔軟に対応できる方 複数のプロジェクトを同時に管理し、優先順位をつけられる方 社内外のさまざまなStakeholderと良好な関係を構築できる方 データを見ながら施策を改善できる方 新しいアイデアや方法を積極的に試せる方 Qualifications 5+ years of experience in B2B Marketing, Field Marketing, or Event Marketing. Experience in B2B companies within Technology, Gaming, SaaS, Platforms, Fintech, or related industries is preferred. Proven experience planning and executing conferences, trade shows, seminars, networking events, roundtables, and other customer-facing programs. Proven experience leveraging Event / Field Marketing to generate leads and contribute to business growth. Experience managing Marketing Budgets, Agencies, Vendors, and Event Sponsorships. Strong communication and stakeholder management skills, with the ability to engage multiple stakeholders and drive projects forward. A hands-on mindset, with the ability to not only develop strategies but also execute initiatives independently. Languages Japanese: Native-level proficiency English: Business-level proficiency or above Ideal Candidate Profile We are looking for someone who: Thinks independently and takes ownership of their work. Designs marketing initiatives with a clear focus on business impact, rather than simply organizing events. Can adapt flexibly to a fast-changing environment. Can manage multiple projects simultaneously and effectively prioritize tasks. Can build and maintain strong relationships with a wide range of internal and external stakeholders. Uses data and performance insights to continuously improve marketing initiatives. Is proactive in testing and adopting new ideas, approaches, and tools. The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws including the Act on the Protection of Personal Information (APPI), Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: United Kingdom; Moldova We need someone who understands data deeply and uses Python to wrangle it — not a platform engineer, not a pure pipeline builder, but a data specialist who's comfortable with research, investigation, and the unglamorous work of making messy energy market data actually usable. You'll spend significant time on tasks like: mapping BM units to power plants and fuel types, reconciling legacy data formats with current ones, ensuring consistency between different Elexon message types, and cleaning time-series data (outliers, gaps, overlaps). Some of this requires genuine investigation — cross-referencing sources, making judgment calls, documenting edge cases. There's no API that solves these problems for you. Python is your primary tool (Pandas, Numpy, standard libraries) to minimise manual effort, but you should be comfortable that some detective work is unavoidable. If you find satisfaction in truly understanding a dataset's structure and quirks — rather than just piping data through and hoping for the best — this role is for you. Data Mapping and Research • Map BM units from Elexon to their corresponding power plants, substations, and fuel types — combining API data, public registers, and manual research • Map substations to ETYS zones and grid supply points • Build and maintain reference/master datasets that link identifiers across disparate sources (Elexon, National Grid ESO, TEC register, etc.) • Document mappings, assumptions, and known limitations clearly for downstream users Data Reconciliation and Consistency • Reconcile legacy data formats with current formats (e.g., historical operational data stored in different schemas or granularities) • Ensure consistency between different Elexon message types — understand the market data structure well enough to know why BOALF, BOD, and DISBSAD might not perfectly align and how to handle it • Investigate discrepancies between data sources and determine authoritative values Data Cleaning and Quality • Clean time-series data: detect outliers (price spikes, meter errors), fill gaps appropriately, resolve overlapping or duplicate timestamps • Develop reusable Python-based cleaning routines that can be applied across datasets • Understand why data quality issues occur (settlement reruns, late submissions, format changes) not just patch them Pipeline Development (Supporting the Above) • Write and maintain Python data grabbers for energy market APIs • Build dbt models to transform raw data into clean, analysis-ready datasets • Orchestrate workflows via GitHub Actions • Design PostgreSQL schemas that reflect your understanding of the domain Requirements • Strong Python skills for data work — you're fluent with pandas, comfortable writing clean, testable code, and can build reusable data processing logic. This is not an Excel role. • Solid SQL skills — complex queries, window functions, CTEs in PostgreSQL • Experience with messy, real-world data — you've done reconciliation, cleaning, or mapping work before and understand it's not always automatable • Methodical and detail-oriented — you notice inconsistencies and want to understand root causes • Good documentation habits — you know that undocumented mappings and assumptions are technical debt • Self-directed — you can own ambiguous problems, do your own research, and communicate findings clearly Nice to Have • Experience with energy, utilities, or market data (any geography) • Familiarity with UK energy markets, Elexon data, or grid operations • dbt experience for transformation pipelines • Exposure to time-series data challenges (irregular timestamps, gaps, restatements) Highly Desirable — Agentic AI Coding Experience We value candidates who can build software using agentic AI coding systems. This is fundamentally different from using code completion tools or chat-based assistants. Not What We're Looking For • Platform/infrastructure engineers who prefer to stay above the data layer • People who expect clean, well-documented data as input • Those uncomfortable with research, ambiguity, or "manual" investigation work Practicalities • Remote-first with async collaboration (Slack, GitHub, documented decisions) • Core overlap with UK business hours expected (at least 4 hours daily) • Competitive compensation based on location and experience Benefits Plenty of opportunities for learning and professional growth B2b contract with a paid vacation

Location: Los Angeles, United States; California City, United States LBC Mortgage is expanding its lending division and is actively seeking an experienced Hard Money Loan Officer to join our high-performing team. We are looking for a driven, knowledgeable sales professional with direct experience in Hard Money / Private Lending . This is a results-focused role designed for someone who understands investor financing and knows how to close deals efficiently. About LBC Mortgage LBC Mortgage is a well-established mortgage brokerage committed to delivering tailored financing solutions to real estate investors and borrowers. As we continue to grow our lending portfolio, we are building a strong team of professionals who understand the urgency, complexity, and opportunity within the Hard Money space. Key Responsibilities Work directly with real estate investors seeking hard money financing Structure and present loan solutions based on LTV, ARV, and deal strength Manage the full loan lifecycle from lead intake to funding Build and maintain strong relationships with investors and referral partners Consistently meet and exceed monthly production goals Required Qualifications Proven experience in Hard Money lending (required) Strong understanding of real estate investment transactions Ability to analyze deals and assess risk quickly Excellent communication, negotiation, and closing skills Self-motivated and performance-driven What We Offer Competitive compensation structure Uncapped commission potential Strong operational and underwriting support Growth opportunities within a respected mortgage brand Access to consistent deal flow If you are experienced in hard money lending and ready to grow within a dynamic mortgage company, we would love to connect. Apply today and join the LBC Mortgage team!

Location: Los Angeles, United States; California City, United States LBC Mortgage is expanding its lending division and is actively seeking an experienced Hard Money Account Executive to join our high-performing team. We are looking for a driven, knowledgeable sales professional with direct experience in Hard Money / Private Lending . This is a results-focused role designed for someone who understands investor financing and knows how to close deals efficiently. About LBC Mortgage LBC Mortgage is a well-established mortgage brokerage committed to delivering tailored financing solutions to real estate investors and borrowers. As we continue to grow our lending portfolio, we are building a strong team of professionals who understand the urgency, complexity, and opportunity within the Hard Money space. Key Responsibilities Work directly with real estate investors seeking hard money financing Structure and present loan solutions based on LTV, ARV, and deal strength Manage the full loan lifecycle from lead intake to funding Build and maintain strong relationships with investors and referral partners Consistently meet and exceed monthly production goals Required Qualifications Proven experience in Hard Money lending (required) Strong understanding of real estate investment transactions Ability to analyze deals and assess risk quickly Excellent communication, negotiation, and closing skills Self-motivated and performance-driven What We Offer Competitive compensation structure Uncapped commission potential Strong operational and underwriting support Growth opportunities within a respected mortgage brand Access to consistent deal flow If you are experienced in hard money lending and ready to grow within a dynamic mortgage company, we would love to connect. Apply today and join the LBC Mortgage team!

Location: South Africa; Philippines; Morocco; Mexico; Argentina; Colombia 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 Engagement: Independent Contractor About the Company Our client is a growing hospitality group managing a portfolio of boutique hotels, charming Bed & Breakfasts, and premium short-term rental apartments. Their focus is on delivering exceptional guest experiences through personalized service, operational excellence, and seamless technology-driven hospitality management. They are seeking an experienced and highly organized Guest Relations & Bookings Manager to oversee guest communications, reservations, and operational coordination across multiple properties and booking platforms. Job Summary As the Guest Relations & Bookings Manager, you will take full ownership of the guest journey — from handling inquiries and reservations to managing guest issues and ensuring smooth check-ins across hotels and short-term rental properties. This role is ideal for a hospitality professional with strong experience in both traditional hotel operations and short-term rental management systems. You should be confident managing multiple booking channels, resolving guest concerns efficiently, and working independently in a fast-paced remote environment. Key Responsibilities Serve as the primary point of contact for guests before, during, and after their stay, ensuring prompt and professional communication across multiple channels. Manage guest requests including early check-ins, special accommodations, access support, and property-related inquiries. Handle guest complaints, urgent issues, and after-hours support with professionalism and efficiency. Coordinate with housekeeping, maintenance teams, local hosts, and on-site hotel staff to resolve operational and guest-related concerns. Monitor and respond to guest reviews across Airbnb, Booking.com, Expedia, Google Reviews, and other booking platforms. Manage reservations, calendar availability, and rate synchronization using Guesty and Uplisting. Oversee listings and inventory across Airbnb, Booking.com, Expedia, and direct booking channels. Process cancellations, booking amendments, no-shows, and rebooking requests accurately while adhering to company policies. Prevent overbookings and efficiently manage room and apartment allocations across the portfolio. Handle OTA disputes, guest claims, and chargeback cases professionally and effectively. Support pricing optimization and occupancy management using revenue and dynamic pricing tools. Ensure smooth guest check-ins, turnovers, and day-to-day operational workflows across all properties. Maintain accurate guest records, reports, reservation documentation, and administrative systems. Improve and maintain SOPs, operational processes, and automated guest messaging workflows. Assist with operational improvements and system optimization initiatives to enhance efficiency and guest experience. Requirements 2+ years of experience in hospitality, guest relations, or booking management. Proven experience managing both hotels/B&Bs and short-term rental properties. Advanced hands-on experience with Guesty and Uplisting. Strong understanding of OTAs including Airbnb, Booking.com, and Expedia Group. Experience handling OTA disputes, cancellations, and guest resolution processes. Excellent written and verbal English communication skills. Highly organized, proactive, and capable of managing multiple properties independently. Comfortable working fully remote while strictly aligning with UK business hours. Experience using hotel channel managers such as SiteMinder. Familiarity with dynamic pricing tools such as PriceLabs or Beyond Pricing. Experience with hospitality automation tools and workflow optimization. Background in luxury hospitality, boutique hotels, or premium guest services. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Mexico; Colombia; South Africa; Argentina; Pakistan About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a high-ticket coaching, consulting, and implementation company working with founders and CEOs of digital marketing agencies scaling toward seven and eight figures. The business provides strategic consulting while also building acquisition systems directly for clients, including funnels, paid media infrastructure, sales systems, automation, and operational workflows. Job Summary We are hiring a Senior GoHighLevel Specialist / Technical Operations Consultant to own technical builds across client launches and internal systems. This is a hands-on role for someone with deep GoHighLevel expertise, strong automation and integration skills, and real experience building AI-powered workflows. You will build pipelines, funnels, automations, AI agents, attribution systems, and integration layers across GoHighLevel and third-party tools. This role is ideal for someone who can find problems, design clean solutions, build independently, and document everything to a high standard. Key Responsibilities Build and manage GoHighLevel accounts, pipelines, funnels, campaigns, workflows, and automations. Create workflow automations using Zapier, Make, direct webhooks, and API integrations. Build and integrate AI agents using tools such as Cassidy, Custom GPTs, OpenAI, Anthropic, n8n, LangChain, or similar platforms. Connect GoHighLevel with tools such as Stripe, Slack, Calendly, Fathom, ClickUp, and other business systems. Design clean attribution systems from ad click to booked call to closed deal. Troubleshoot technical issues across client accounts and internal systems. Identify workflow inefficiencies and proactively suggest better technical solutions. Document every build clearly through SOPs, Looms, process notes, and technical documentation. Collaborate with media buyers, account managers, technical operators, and leadership teams. Requirements 3+ years of hands-on GoHighLevel experience, including pipelines, funnels, campaigns, and automations. 3+ years of media buying or technical media operations experience. Strong experience with Zapier, Make, webhooks, APIs, and custom integrations. Experience with Meta Pixel, Conversions API, tracking, and lead-generation attribution. Direct experience building AI agents using Cassidy, Custom GPTs, OpenAI, Anthropic, n8n, LangChain, or comparable tools. Experience working with B2B digital marketing agencies or agency-side clients. Ability to read API documentation and solve technical problems independently. Coding or scripting ability in JavaScript, Python, or TypeScript is strongly preferred. Familiarity with ClickUp and Slack. Excellent written and spoken English for internal and client-facing communication. Strong SOP documentation skills. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Mexico; Argentina; Colombia; Guatemala; Brazil; 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 Engagement: Independent Contractor About the Company Our client is a US-based, fully remote telehealth and wellness company in its growth stage, specialising in hormone optimisation, peptide therapy, medical weight loss, and wellness therapies. The CEO leads three rapidly growing companies, making this a high-trust, high-impact support role with real ownership and growth potential. Job Summary We’re looking for a highly organised Executive / Virtual Assistant to provide direct support to a busy CEO. This role is ideal for someone who has supported founders or C-suite executives before and understands the importance of protecting executive time, managing competing priorities, and handling confidential information with maturity. You’ll own calendar management, inbox management, travel coordination, personal scheduling, daily admin preparation, and operational follow-through across multiple businesses. Key Responsibilities Manage the CEO’s calendar daily, reviewing every invite for accuracy, completeness, and priority. Own CEO inbox management twice daily, with a target of inbox zero by 10 AM EST and again by 5 PM EST. Schedule calls and meetings according to a clear scheduling priority framework. Process SMS requests from the CEO and CEO’s spouse at set times during the day. Prepare and maintain the daily Admin Meeting agenda using the company’s structured format. Coordinate end-to-end travel logistics, including flights, hotels, transport, itineraries, calendar blocking, and Trip Files in Google Drive. Audit the CEO’s calendar six weeks ahead every Friday to identify gaps, conflicts, and upcoming priorities. Coordinate closely with the CEO’s spouse on family, personal, and household scheduling. Manage gifting, company purchases, personal appointments, and ad hoc admin tasks. End each day by clearing lingering emails, compiling the next-day to-do list, and sending content ideas. Requirements Proven experience as an Executive Assistant, Virtual Assistant, or CEO Assistant. Direct experience supporting a founder, CEO, or C-suite executive. Strong calendar management skills, including time zones, batching, scheduling logic, and protecting executive time. Excellent inbox management discipline and ability to make decisions confidently. Strong discretion and confidentiality when handling sensitive personal and business information. Advanced Google Workspace skills, especially Gmail, Calendar, Drive, Docs, and Sheets. Experience using Slack for daily communication. Strong travel booking and itinerary management experience. Exceptional attention to detail and proactive follow-through. Comfortable supporting executives across multiple businesses, brands, or projects. Experience in telehealth, wellness, healthcare, or health-adjacent industries is a plus. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates The Business Officer plays a pivotal role in ensuring the smooth execution of business operations within the organization. Reporting to the Business Officer Lead and closely working with Core Lab directors and Labs staff for the smooth running of business, non-technical operations of Core Labs. The business officer will oversee and manage end-to-end business and admin operations and will proactively offer solutions to problems and anticipate risk or concerns. The Business Officer will be responsible for a number of Core Labs but will operate in a larger eco-system with other VPR functions and will serve as absence cover when required by other business officers to ensure operations continuity. Responsibilities Manage and coordinate day-to-day business operations and administrative tasks. Manage administrative support for Core Labs operations and staff. Coordinate travel, visitor gate passes, transportation, and logistics. Support recruitment activities, interview scheduling, and onboarding of new hires. Process procurement requests, shopping carts, and vendor registrations. Handle invoices, reimbursements, and follow up on payments with finance teams. Maintain office supplies inventory and coordinate operational requirements. Prepare quotations, contracts, and maintain business documentation. Liaise with internal departments and external vendors for operational support. Support financial reporting and ensure accuracy of operational data. Provide operational coverage during absences and support process improvements. Requirements Bachelor’s degree in Business Administration, Science, Engineering, or related field. Minimum 4 years of experience in administration, business operations, or finance roles. Good knowledge of Microsoft Office Suite. Familiarity with SAP, Ariba, or similar financial/procurement systems. Strong communication and organizational skills. Ability to multitask and work with multiple stakeholders. Good problem-solving and analytical abilities. Professional level of English communication. Experience with financial and procurement systems is an advantage.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building something ambitious, and we believe our most important advantage is our people. This role sits at the foundation of that belief. You'll help shape how Ramp identifies, evaluates, and hires world-class engineering talent, with a particular focus on the engineers at the center of what we're building next. This is a craft role. You'll own pipelines end-to-end, partner directly with our Engineering leadership, and be accountable for the quality of the people we bring through the door. We're looking for a Technical Recruiter who treats hiring as a discipline. Someone who cares as much about candidate experience and calibration as they do about closing. You won't just be working off a req list. We're looking for someone who can take ambiguous or high-level direction from engineering leadership and turn it into a sharp, targeted search, knowing exactly who they want before the role even opens. You'll be expected to have strong opinions on talent, defend them with evidence, and push back on stakeholders when the bar is at risk. Recruiting at Ramp is owned end-to-end, not handed off. This role requires someone who stays close to the candidate, close to the hiring manager, and close to the work, so context never gets lost between hand-offs. What You’ll Do - Partner closely with our Engineering leadership and hiring managers to deeply understand the requirements of each role and how it fits into the organization - Manage full-cycle recruiting for multiple, complex searches across our Engineering organization, owning every stage from first touch to signed offer - Build deeply targeted sourcing strategies. Know the companies, the teams, and the individual engineers worth pursuing before opening a search - Partner with our sourcing team to iterate on creative strategies for talent pipelines and competitor mapping - Run candidate process with urgency and care. Same-day follow-up, next steps booked before you hang up, no candidate left chasing us - Manage pipeline activity, maintain data integrity, and proactively share data-centric updates with internal stakeholders. Spot funnel issues early and bring evidence to calibration conversations, not just gut - Drive offer processes for candidates, including extending offers, negotiations, closing candidates, and generating offer letters - Act as a strategic advisor, not a req-filler. Anticipate hiring needs, shape strategy alongside engineering stakeholders, and translate abstract asks into concrete target lists, comp frameworks, and close plans - Lead initiatives that raise the bar on how technical recruiting operates at Ramp, including interview loops, interviewer training, scorecards, and other cross-functional efforts that increase hiring quality and speed - Build excellent relationships across the recruiting team and your engineering client groups What We’re Looking For - 5+ years of full-cycle technical recruiting/sourcing experience in a similar role at a high-growth technology company or startup - Demonstrated track record hiring for deeply technical engineering roles. You can hold a credible conversation with a hiring manager about the work, not just the title - You build and use AI across every stage of the recruiting process, from how you find candidates to how you screen, calibrate, and close them. You're a sourcer at heart, don't wait for inbound, and treat your tooling as part of the craft - Excellent written and verbal storytelling communication skills - Ability to influence at various levels in an organization, anchoring on data-driven decision-making - Operationally strong, detail-oriented, and comfortable navigating ambiguity in a fast-moving environment - Genuine care for the candidate experience. You believe how someone is treated through the process is as much a reflection of Ramp as the offer itself BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - UK WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies - Native French Speaker How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation & Benefits: - We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. - Annual salary range: $225,000-$350,000 OTE USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York City, NY; San Francisco, CA; 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 As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to help shape the cultural norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. Responsibilities: Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through your insights and recommendations Develop hypotheses, apply rigorous causal inference methods – controlled experiments, synthetic controls –  and analyze the results in order make actionable recommendations Investigate anomalies, conduct root cause analyses, and provide data-driven insights to guide priorities and inform decisions Define core metrics, build measurement frameworks, and maintain core reporting to evaluate success Build statistical models, optimization frameworks, and simulations to automate decision-making and operational processes Present complex technical analyses and recommendations to both technical and non-technical stakeholders Establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow You may be a good fit if you have: 7+ years of experience in data science or analytics roles Deep expertise with Python, SQL, and data visualization tools Expertise with experimental design, causal inference, statistical modeling, and A/B testing frameworks, particularly in high-scale technical environments Highly effective written communication and presentation skills A track record of translating complex data into clear, actionable insights for both technical and business stakeholders A bias for action and ability to thrive in ambiguous, fast-moving environments where you must create clarity and drive forward progress A passion for the company’s mission of building helpful, honest, and harmless AI Some experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem 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: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, England Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for a Senior Account Executive, UK Government who will play a critical role in building and scaling Figma’s presence within Government organisations. This is a specialist position focused on developing a new and strategic segment, requiring a highly experienced seller with deep domain expertise, strong executive relationships, and the ability to operate in an early-stage market. This role currently sits within the Enterprise segment and represents a unique opportunity to establish and grow Figma’s Government business from an early foundation. What you’ll do at Figma: Own and build Figma’s Government (Public Sector) pipeline and book of business, focused on establishing initial traction and long-term growth Create and execute a GTM strategy for Government accounts, identifying priority agencies and opportunities Build and nurture relationships with senior stakeholders and decision-makers across Government organisations Apply discovery-led, value-based selling to align Figma’s platform with complex public sector needs and procurement processes Develop and execute strategic account plans, driving multi-threaded engagement across departments and functions Navigate long, complex sales cycles, including compliance, procurement, and regulatory considerations Partner closely with cross-functional teams to position Figma effectively, drive deal progression and ensure successful adoption and expansion Lay the foundation for a scalable Government business, contributing to future team build-out as the segment grows We’d love to hear from you if you have: Significant experience selling into Government / Public Sector accounts A proven track record of building new business in greenfield or early-stage markets Experience managing complex enterprise sales cycles (6+ months) with multiple stakeholders Strong ability to engage and influence executive-level buyers Consistent performance in pipeline generation and net new business development While it’s not required, it’s an added plus if you also have: Experience navigating public sector procurement frameworks and compliance processes Background selling technical or platform-based solutions Ability to operate independently in a foundational, first-hire environment Demonstrated success in scaling new segments or markets over time At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; Lithuania; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade.   THE OPPORTUNITY - Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation. - Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs. - Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments. - Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks. - Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows. - Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend. - Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure. - Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves. - Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts. - Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety.   WHAT YOU BRING - 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms. - Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization. - Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging. - Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems. - Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows. - Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost. - Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations. - Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows. - Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical. - Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership.   NICE TO HAVES - Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization. - Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms. - Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management. - Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems. - Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues. - Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure. - Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: London, UK 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's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-call) Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium) Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 7+ years of software engineering experience, including time as a technical lead setting direction for a team Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads. Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collaborate with cloud providers on required features and escalations Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++) Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on Strong written and verbal communication; comfort building consensus with internal stakeholders Preferred qualifications Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents) Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments) Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF 12+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects 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: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK 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's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health Support the growth of engineers around you through technical mentorship and coaching Minimum qualifications Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure) Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform. Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems Ability to build alignment across senior stakeholders and communicate effectively at all levels Preferred qualifications 10+ years of software engineering experience, including time as a technical lead setting direction for a team Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes) Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like) Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield) Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS) Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows) Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £485,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol; Nicosia Workplace: hybrid The Role:  We are seeking a motivated and curious Junior Corporate Services Systems Engineer to join our Systems Engineering team. In this role, you will play a key part in the day-to-day maintenance, administration, and support of our cloud systems and services.  This is an excellent opportunity for someone eager to kickstart their career in IT operations, gain hands-on experience with modern cloud infrastructure, and learn from experienced engineers in a collaborative environment. The main responsibilities of the position include: Manage and administer multi-cloud subscriptions (PaaS/SaaS) across Microsoft Azure and other providers, overseeing implementation, capacity planning, and performance monitoring. Resolve complex technical issues by providing Level 2 and Level 3 troubleshooting, incident management, and service-level tracking. Oversee the Microsoft Entra ID (Azure AD) environment , including Conditional Access, identity protection, group management, and Single Sign-On (SSO) integrations. Manage Microsoft 365 Enterprise products (SharePoint, Teams, compliance tools) and administer Intune MDM for Windows, Mac, iOS, and Android endpoints. Enforce role-based access controls (RBAC) by maintaining the Enterprise Access Control Matrix. Partner with Information Security to research and deploy system hardening solutions, conduct routine security audits, and identify vulnerabilities. Deploy automated patch management solutions for Microsoft and third-party software, including executing emergency patching procedures. Liaise with external partners and cross-functional teams to design, deliver, and document new IT solutions that support business growth. Mentor and train the IT Service Desk team , creating detailed documentation and work instructions to elevate overall support quality. Main requirements: BSc/MSc in Information Technology or any other relevant degree At least 2 years of ex perience in a Systems Administration or relevant position Strong team player, good communications skills Strong analytical and troubleshooting skills Ability to cope with stress and meet deadlines Ability to multitask and prioritise Problem solving and critical thinking skills Self-motivated, proactive and efficient Deep understanding of the following: Security Hardening & Patch Management Cloud Systems Management: Azure Mobile Device Management (MDM) Windows & MacOS Microsoft 365 Products Scripting Skills Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.