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Location: Pakistan; Philippines; Mexico; Colombia; Argentina; India 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, SaaS platforms, and digital-first businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to impactful, real-world products. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a fast-growing performance marketing agency that helps direct-to-consumer (DTC) brands scale profitably through Paid Media, Conversion Rate Optimization (CRO), creative strategy, and conversion-focused publisher networks. Acting as an extension of their clients’ in-house growth teams, they specialize in rapid testing, high-converting funnels, and data-driven experimentation to drive measurable revenue growth. Job Summary We’re hiring a highly execution-focused Front-End Engineer with a strong direct response mindset to help launch and optimize landing pages, advertorials, and conversion funnels for high-growth DTC brands. This role is ideal for someone who thrives in fast-paced environments, understands how paid traffic and landing pages work together, and can rapidly bring ideas from concept to live deployment. You’ll work closely with paid media, creative, and growth teams to build high-converting customer journeys that improve conversion rates and revenue performance. Key Responsibilities Build and launch landing pages, advertorials, and publisher-style pages across multiple DTC brands. Rapidly execute experiments and A/B tests to improve conversion rates (CVR) and revenue per visitor (RPV). Translate rough creative direction into polished, conversion-focused page experiences. Collaborate closely with paid media teams to align messaging, offers, and funnel strategy. Implement and QA tracking using GA4, Google Tag Manager, Hotjar, Microsoft Clarity, and other analytics tools. Optimize page structure, layouts, hooks, and offers based on performance data. Ensure pages are mobile-optimized, fast-loading, and conversion-focused. Assist with direct response copywriting for headlines, hooks, advertorials, and funnel messaging. Continuously iterate on page performance through testing and rapid deployment cycles. Help create scalable internal processes and systems for faster page launches and experimentation. Requirements Proven experience building direct response landing pages and advertorials for paid traffic campaigns. Strong understanding of conversion-focused design and copywriting principles. Experience with Webflow, Shopify, Replo, or similar landing page builders. Working knowledge of HTML/CSS and basic JavaScript. Experience with CRO and experimentation tools such as VWO, Convert, or similar platforms. Familiarity with GA4, Google Tag Manager, Hotjar, or Microsoft Clarity. Understanding of funnel structures including pre-sell pages, landing pages, upsells, and checkout flows. Experience working in agency or startup environments with rapid iteration cycles. Ability to work independently and execute quickly with minimal hand-holding. Strong attention to detail and ownership mindset. Basic understanding of SEO/AEO best practices is a plus. Familiarity with paid media ecosystems such as Meta Ads and Google Ads is preferred. Benefits 💰 Competitive salary based on experience and seniority 🌎 Fully remote role with flexible working hours 🚀 Work on impactful, user-facing products with a global reach 📈 Clear career progression in a high-growth tech environment 🎯 Collaborative, product-driven culture with strong engineering standards 🤝 Direct placement with the client—no outsourcing layers

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: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE 💭 We’re hiring a Brand Designer to lead the evolution and execution of the WorkOS brand across our website and digital ecosystem. You’ll work closely with the Creative Director and cross-functional partners to create scalable, beautiful, and performant web experiences that shape how developers and enterprise customers experience WorkOS online. You’ll also help guide the continued growth of our UI design system and overall digital design quality. You’ll join a close-knit, down-to-earth team that cares deeply about craft, creativity, and collaboration. While your primary focus will be owning web experiences, including the homepage, product pages, launch weeks, campaign microsites, and event experiences, you’ll also have opportunities to contribute to broader brand initiatives across digital and physical formats. This is a rare opportunity to take ownership over the digital expression of a fast-growing, design-forward company. RESPONSIBILITIES ✔️ - Lead the design and evolution of the WorkOS website and broader digital ecosystem, including marketing pages, launch weeks, campaign experiences, and event sites - Partner closely with designers, developers, marketers, and leadership to elevate the quality and consistency of all digital experiences - Evolve and maintain a scalable UI design system across web and product marketing surfaces - Translate complex technical concepts into intuitive, elegant, and developer-friendly experiences - Create cohesive visual and interaction patterns that strengthen the WorkOS brand across every digital touchpoint - Continuously improve design quality through user feedback, experimentation, analytics, and evolving best practices - Ensure all experiences are responsive, accessible, performant, and thoughtfully implemented across devices - Leverage modern AI-assisted design and production tools where appropriate to accelerate workflows and exploration while maintaining a high standard for craft and quality - Occasionally support broader brand initiatives including campaign creative, social assets, print collateral, and event branding - Stay current on modern web design systems, interaction patterns, and emerging digital trends QUALIFICATIONS 🌟 - 5+ years of experience designing high-quality web and digital experiences, with a portfolio demonstrating strong visual craft and systems thinking - Strong understanding of responsive design, accessibility, UX best practices, interaction design, and modern web standards - Experience owning or shaping web experiences and digital design systems across a brand or product ecosystem - Proficiency in Figma, Adobe Creative Suite, AI tools, and modern digital design workflows - Strong balance of creativity, usability, and systems thinking - Ability to design within a clean, minimal, and technical visual language aligned with the WorkOS brand aesthetic - Strong skill in communicating complex technical or product concepts in approachable and user-friendly ways - Experience collaborating closely with developers and working within front-end implementation workflows (HTML/CSS familiarity is a plus) - Familiarity with motion design, interaction systems, and modern web animation patterns - Deep curiosity and fluency with emerging AI-powered creative tools, with a proactive approach to experimenting, learning, and integrating new workflows without compromising quality or craft - Excellent communication and organizational skills in a fast-paced, remote-first environment Nice-to-Haves - Experience working on technically complex products, SaaS platforms, or developer-focused tools - Practical front-end development experience (HTML/CSS) - Experience using analytics, experimentation, or A/B testing to inform design iteration - Experience helping scale the digital presence of a fast-growing technology brand Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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: Remote, Worldwide; Remote Workplace: remote We are seeking an experienced and highly skilled Language Expert – Urdu (Pakistan) to join our team. The ideal candidate will possess a strong linguistic background, expertise in the Urdu-Pakistan language, and the ability to lead projects with a focus on quality and efficiency. The Language expert will oversee linguistic tasks, manage quality assurance, and provide mentorship to linguists while ensuring the delivery of high-quality language services. The applicant should be native Pakistani National who understands the Language in-depth, knows the cultural nuances of the language and have excellent command over English-US, both verbal and written. Responsibility Here is a non-exhaustive list of main tasks for this role: Linguistic tasks : Perform LQA reviews , adhering to quality guidelines and production timelines. Handle arbitrations and drive linguistic consensus for optimal results. Perform glossary and TM updates within Smartling environment, following the guidelines provided by the quality team. Handle Client review (from non-linguists) feedback exchange and implementation. Process linguistic feedback from QA testing and implement changes as needed. Provide linguistic and cultural consultation as requested by the client. Quality Management tasks : Liaise with Language Specialist and translation teams (via emails & meetings) to share constructive feedback and drive overall language quality improvement . Liaise with client stakeholders (via emails & meetings) to discuss linguistic matters and offer consultation in a clear & well-substantiated manner. Maintain reference materials , training documentation and meeting notes . Answer linguistic queries adhering to outlined query management processes. Proactively monitor language quality performance via LQA report, take action to address issues in a timely manner, and flag quality risks to the quality team. Work on internal and external RCAs and QIPs , as instructed by the quality team. Proactively assess and suggest asset improvements , considering their impact on end users as well as the associated effort (time & cost). Critically prioritize and track QM tasks based on urgency, impact and client needs, adhering to relevant guidelines and designated time allocation. Education, Skills and Experience Education: A Bachelor’s degree in Linguistics, Translation Studies, Language Arts, or a related field. Experience: Minimum 5 years of professional experience in translation, localization, or linguistic services. At least 2 years of experience as a Language Lead or in a Senior Linguist position. Language Skills: Native or near-native proficiency in Urdu-Pakistan, with excellent command of English (additional language proficiency is a plus). Technical Skills: Familiarity with translation and localization tools (e.g., CAT tools, TMS systems). Strong knowledge of linguistic quality assurance processes. Soft Skills: Exceptional attention to detail and problem-solving skills. Excellent communication and leadership abilities. Ability to work collaboratively in a multicultural environment. Preferred Qualifications: Experience working in the localization/translation industry for global Music Service provider. Knowledge of Pakistani cultural and regional linguistic nuances. Certification in translation or localization tools is an advantage. Must: The candidate must be flexible to work on any type of content (Including sensitive content), music, video, genre, domain etc.

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: Warsaw Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Graphics Programmer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities To maintain and extend our proprietary engine on its VFX related part (particle simulation, materials, post-process effects, rendering/lighting pipeline). Work closely together with Art/VFX department, to implement visual effects of topnotch quality and extending our library of existing VFX components. Debug and optimize code to hit quality and performance targets Document code features. Requirements Thorough knowledge of C++. Strong technical background (bachelor’s degree or comparable experience). Good spoken/written English. Passion for making and playing great games. Experience with modern graphics APIs like DirectX 12, Vulkan, Metal. Experience with a wide range of CPU and GPU profiling tools. Experience with particle system algorithms, including GPU particle implementations. Excellent knowledge of shading languages and experience with writing complex GPU algorithms using shading languages. Multi threading should be second nature. Excellent software design and problem-solving skills. Excellent software debugging skills. You are a team player and willing to take responsibility. This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity. Nice to Haves C# experience Previously shipped game/console titles is a strong plus What we Offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

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: Japan Workplace: remote Contract type: Freelance Language: Japanese (Japan) Estimated volume: 8 - 10 hours Start date: The project runs on a weekly basis.    We are looking for qualified raters to support a project focused on evaluating personalized search and location recommendations. This role involves rating the relevance and usefulness of suggested places based on personalized results and defined project guidelines.   𝗜𝗳 𝘆𝗼𝘂’𝗿𝗲 𝘀𝗼𝗺𝗲𝗼𝗻𝗲 𝘄𝗵𝗼: ✅Notices when recommendations actually make sense 🧠Thinks critically about usefulness, intent, and context 🖥️Cares about accuracy in digital experiences   This project is built for you.   What you will do: Review search queries with results personalized based on your activity history Evaluate suggested places (e.g., restaurants or locations) related to places you’ve previously visited Rate whether the suggested places are relevant and useful Follow project guidelines and complete tasks accurately Requirements: To be located and have the right to work in Japan. An existing, actively used Gmail account with prior usage history on Google Maps. Participation is limited to maximum three project rounds. Please note that the task request will be dynamic and we will be providing you with a heads-up as soon as possible once there is a project round available for you. Please note: This project requires opt-in, consent-based access to limited elements of your activity history. A consent form will be provided for you to review and sign before participation. Please note that the consent form and its terms may be subject to change as project requirements evolve. A desktop or laptop computer is required to complete the application and onboarding process. Mobile devices are not supported.

Location: China Our Client Our client is a Singapore-based multinational food and beverage company specializing in the production and distribution of instant beverages, particularly coffee mixes and non-dairy creamers. With a strong presence across Asia, Eastern Europe, and other emerging markets, the company focuses on delivering affordable, mass-market products while continuously optimizing cost efficiency and product formulations. Its operations are supported by manufacturing facilities, including in Malaysia, and it actively competes with Chinese producers by exploring innovations in ingredients and production processes to maintain competitiveness in pricing and quality. Key Responsibilities Conduct a comprehensive analysis of existing non-dairy creamer product formulations, focusing on cost structure, ingredient composition, and performance. Identify opportunities to optimize formulation and reduce production costs while maintaining or improving product quality. Provide insights into China-based manufacturing practices, including cost advantages, sourcing strategies, and formulation techniques. Recommend alternative ingredients, suppliers, or processes to improve cost competitiveness against Chinese producers. Work closely with internal teams (R&D, production, and business) to implement improvements and validate results. Deliver clear, actionable reports and recommendations to senior stakeholders, including business leadership. Support ongoing product development or reformulation initiatives as needed during the engagement period. Participate in periodic on-site visits to the Malaysia facility to collaborate with local teams. Location & Travel Candidate can be based anywhere in China (to work remotely), with periodical travel to Malaysia (expenses covered). Requirements Minimum 10+ years of experience in food R&D or product development, specifically in non-dairy creamer or related powdered beverage products. Proven experience working within manufacturing environments in China, with strong understanding of local cost structures and competitive practices. Deep technical knowledge of formulation, ingredients, and processing for non-dairy creamer products. Demonstrated track record of cost optimization or formulation improvement projects. Ability to work in a consultative, advisory capacity and translate technical insights into business impact. Comfortable working on a contract/freelance basis with flexible engagement structure (e.g., monthly advisory or project-based). Willingness to travel to Malaysia periodically (expenses covered). Strong analytical and problem-solving skills, with the ability to work independently. English proficiency preferred but not a must.

Location: Norway; Finland; Sweden; Denmark 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 and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor English bilingual role, at least one of the following languages are required: Swedish / Norwegian / Danish / Finnish / Icelandic About the Company Our client is a well-established global B2B company operating within the renewable energy and sustainability sector. They provide a wide range of products and services to enterprise clients across international markets and have built a mature sales environment with strong internal processes, structured onboarding, and long-term growth opportunities. This role is ideal for a highly organised and client-focused Sales Development Representative who has experience supporting sales initiatives, managing client relationships, and driving commercial conversations within fast-paced environments. Job Summary We are seeking an experienced Sales Development Representative (SDR) with exposure to the renewable energy industry to support outbound sales efforts, account management activities, and customer engagement initiatives across international markets. The ideal candidate is highly organised, thrives in structured sales environments, and has experience balancing sales development, customer service, and client management responsibilities. Fluency in at least one Nordic language is essential for this role. Key Responsibilities Manage outbound sales outreach and prospect engagement activities. Build and maintain strong client relationships through proactive communication and account management. Support lead generation and sales pipeline activities using structured sales processes. Coordinate client follow-ups, meetings, and sales administration tasks. Deliver exceptional customer service throughout the client lifecycle. Maintain accurate CRM records and sales activity tracking using Salesforce and Salesloft. Collaborate closely with internal sales and customer success teams to ensure seamless client experiences. Handle multiple priorities and client accounts in a fast-paced global sales environment. Support business growth initiatives within the renewable energy sector. Requirements 2 - 3+ years experience as a Sales Development Representative, or similar sales/client-facing role. Exposure to the renewable energy, sustainability, clean tech, or energy sector. Fluency in at least one Nordic language (Swedish, Norwegian, Danish, Finnish, or Icelandic) is required. Strong client management and customer service skills. Experience with outbound sales, lead generation, and account management. Proficiency using Salesforce, Salesloft, or similar CRM and sales engagement platforms. Excellent organisational and multitasking abilities. Strong communication and relationship-building skills. Ability to work independently in a remote, structured environment. Comfortable managing multiple stakeholders and priorities simultaneously. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 📈 Clear career progression to Account Executive and beyond 🎯 Performance-based bonuses and incentives 🤝 Direct hire with global clients (not outsourced) 🧠 Ongoing training, mentorship, and sales development support

Location: Dhahran, Saudi Arabia Eram Talent is looking for an experienced Contracts Advisor with PMT (Project Management Team) experience to join our team in Saudi Arabia. As a vital part of the ERAM Group's recruitment division, you will provide expert contract management support for capital projects, ensuring compliance and efficient contract execution within the energy and infrastructure sectors. Responsibilities Draft, review, and negotiate contracts related to capital projects within the PMT framework Ensure adherence to contractual obligations, regulatory requirements, and company policies Collaborate closely with project managers, legal, finance, and procurement teams to manage contract lifecycle Identify, evaluate, and mitigate contractual risks Manage contract amendments, claims, and dispute resolution processes Monitor contract performance to ensure compliance and timely delivery Maintain accurate documentation and contract records throughout project phases Requirements Bachelor’s degree in Business Administration, Law, Engineering, Finance, Supply Chain Management, or a related field. 12+ Years of experience as a Contracts Specialist in Oil & Gas projects with strong Project Management Exposure. In-depth understanding of contract lifecycle management, from initiation and scope definition to execution and close-out. Familiarity with different contract types, including lump-sum, unit-price, and time-and-materials agreements. Knowledge of corporate governance frameworks and internal procurement procedures. Ability to prepare, review, and coordinate contract documentation through internal approval and execution workflows. Experience in contract administration, including performance monitoring, compliance tracking, and change control management. Proficiency in generating detailed reports, charts, summaries, and presentations to support budgeting, forecasting, and decision-making processes. Ability to work effectively in multidisciplinary teams and dynamic project environments Proficiency in contract management systems and project management tools