Вакансии

О ПРОЕКТЕ Европейская финтех-компания с подтвержденным PMF масштабирует свою крипто-вертикаль. Есть живой продукт, отличная выручка и амбициозные планы по захвату рынка. Ищут лидера, который возьмет на себя полный P&L и превратит перспективное направление в доминирующего игрока. ВАШИ КЛЮЧЕВЫЕ ВЫЗОВЫ — Ownership: Полная ответственность за стратегию и доходы (P&L) крипто-вертикали. — Scaling: Масштабирование кошелька и карточных продуктов на новые рынки. — Product Leadership: Прямое влияние на роадмап и внедрение новых фич. — Growth: Поиск новых точек роста и оптимизация юнит-экономики. ЧТО МЫ ЖДЕМ ОТ ВАС — Crypto Expert: 4+ года опыта работы с криптокартами и/или кошельками в B2C сегменте. — In-house Experience: Опыт построения продукта изнутри (in-house роли). — Business Mindset: Умение мыслить цифрами, видеть рынок и принимать быстрые решения. — Leader: Способность вести за собой команду и отвечать за конечный результат. ПОЧЕМУ ЭТО КРУТО? — Impact: Максимальный уровень самостоятельности и влияния на глобальный бизнес. — Global: Работа в сильной международной команде без границ. — Reward: Очень конкурентное вознаграждение и пакет бенефитов, соответствующий уровню.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Report to: CTO The Role As Director / Senior Director of Platform Software Engineering, you will own the software platform that powers every Nex Playground in the world — from the moment a family unboxes the device through years of daily play. You will lead end‑to‑end across PlayOS (our Android‑based device OS) and cloud services: OS that gives hardware life, OTA updates that reach a growing global fleet, the Play Pass subscription engine, and the compliance infrastructure that lets us launch in new countries with confidence. You will drive architectural direction, set engineering standards, and grow a high‑performing team. You'll stay hands‑on when it counts most and know when to let your leaders lead. The Mindset First‑principles, customer‑obsessed, decisive. Perseveres to the highest standards and challenges assumptions. Resilient through production incidents, coachable at every level. Grows engineers into owners and leaders. Empathetic, leads with trust, gives tough feedback, builds a culture of accountability. Executes with discipline — insists on engineering excellence to deliver reliable, secure outcomes at scale. Success Looks Like Millions of Playgrounds worldwide, reliably updated over the air. PlayOS that delights families from first unbox through years of daily play — across every market Nex enters. Standards that let the team ship fast with confidence. Strong leaders in your team across device and cloud who own outcomes independently. The platform behind every game, every feature, every market launch. Key Responsibilities Platform & Team Leadership Set platform software strategy in partnership with Product Design and company leadership Build a high‑performing engineering team — raise the engineering bar, grow engineers into owners and develop strong leaders Build Nex's in‑house platform engineering capability and DevOps practices, evolving from external partnerships to Nex‑led development PlayOS Delivery Implement OS platform roadmap — balancing new capabilities with system health, performance, security, and compliance Guide the hardest trade‑offs across architecture, compatibility, and hardware integration Drive international compliance — children's privacy (GDPR, COPPA) and localization for every new territory Cloud & Services Establish standards across cloud services, OTA pipelines, and the Play Pass subscription platform Ensure reliability, security, privacy, and operational excellence as the fleet scales globally Set high standards for observability, incident response, and continuous improvement Must Have Experience leading teams delivering operating systems and cloud services in production at scale Proven people leadership: hires and builds high-performing teams, develops managers, and coaches individuals through clear feedback, growth plans, and high standards Strong technical judgment across device software and cloud systems — hands‑on when it matters Track record raising the bar on quality, reliability, security, privacy, and compliance Significant flexibility working across global timezones Nice to Have Experience with subscription or commerce platforms Familiarity with reliability practices (SLOs, observability, incident response) Experience with consumer privacy regulations (GDPR, COPPA, or equivalent) in a shipped product Experience with connected devices and fleets Experience building products for kids or families Experience with hardware‑software integration and lifecycle support #LI-Onsite We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Japan; South Korea About the company Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms. Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring. Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps. About the role Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects. Language pairs currently needed: English <> Korean Japanese into English Korean <> Chinese (Simplified and Traditional) Korean <> Japanese Japanese <> Chinese (Simplified and Traditional) The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads. Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance. Requirements Responsibilities Responsible for all aspects of subtitle file creation, depending on assignment, whether Conforming, Timing and Spotting, Translating or Proofreading/QC’ing of subtitle files using Pixelogic proprietary cloud based subtitling software Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications Handle rejections/make corrections in files Remain current with industry trends, and adapt to evolving client requirements Maintain the confidentiality of sensitive content. Requirements: Minimum of 2 years of translation and/or proofreading experience required Attention to detail and accuracy Must have demonstrated ability to accomplish work on a rigorous schedule (on-time delivery and flexible working hours) Ability to follow technical / style guide for multiple client content types

Location: Morocco; Côte d'Ivoire; Haiti; Senegal 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 high-growth startups, logistics platforms, and technology-driven businesses. Unlike traditional outsourcing models, you are placed directly with a client as an in-house team member, contributing to meaningful business growth. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a French-speaking Sales Development Representative to drive outbound prospecting and lead generation within the logistics and supply chain sector. This is a high-impact remote sales role where you will engage with decision-makers, qualify opportunities, and build a strong pipeline for the sales team. This role is ideal for someone with strong outbound sales experience, excellent French communication skills, and a passion for logistics, SaaS, or B2B sales. Key Responsibilities Conduct high-volume outbound prospecting via cold calls, email campaigns, and LinkedIn outreach Identify and qualify potential clients within the logistics, freight, and supply chain industries Engage with French-speaking decision-makers and articulate the company’s value proposition Schedule qualified meetings and demos for Account Executives Maintain accurate records of outreach and pipeline activity in CRM systems (e.g., Salesforce, HubSpot) Collaborate closely with marketing and sales teams to refine messaging and targeting strategies Consistently meet or exceed KPIs related to activity levels and pipeline generation Requirements Fluent in French and English (spoken and written) 3+ years of experience in Sales Development, Lead Generation, or B2B outbound sales Experience selling in logistics, freight, supply chain, or SaaS is highly preferred Strong cold calling, email outreach, and objection-handling skills Proficiency with CRM tools such as HubSpot, Salesforce, or similar platforms Self-motivated with the ability to work in a fast-paced, remote environment Excellent communication and interpersonal skills Benefits 🌎 Fully remote role with a flexible work environment 🚀 Work with a fast-growing logistics tech company expanding across Europe 📈 Clear career progression into Account Executive or senior sales roles 🎯 Performance-driven culture with structured onboarding and ongoing training 🤝 Direct placement with the client—no outsourcing layers

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Runway’s Legal team is looking for a Litigation Counsel to help manage Runway’s litigation and dispute resolution work day-to-day, with strategic guidance from the Associate General Counsel, Litigation. You’ll work on a broad docket of litigation and pre-litigation matters, advise business stakeholders on litigation risk, and help to build out the litigation function as the business scales. You’ll join a lean team where everyone carries real responsibility, and you may have the opportunity to pitch in on a variety of other legal domains to support the team. You’ll work at the cutting edge of a highly technical and rapidly evolving area of the law, navigating challenges that are shaping the future of the industry. This role reports to the Associate General Counsel, Litigation. WHAT YOU’LL DO - Manage litigation, third-party process, dispute resolution, and regulatory requests involving the company. This spans everything from helping Runway develop its strategy on cutting-edge legal questions to owning all in-house-side discovery execution - Manage outside counsel across all stages of litigation, with a focus on case strategy and the quality of written advocacy - Build, improve, document, and execute repeatable processes for the areas above to help the litigation function operate efficiently and effectively at scale - Advise key stakeholders on litigation risk, aligning legal strategy with business priorities - Field day-to-day requests from legal team members and cross-functional partners who want your litigation perspective on their commercial, product, and other legal work - Partner with Runway’s Customer Support Team to advise on and help resolve small disputes and escalations - Monitor regulatory and policy developments relating to generative AI, and advise our AI safety, product, and engineering teams on them as appropriate - Dive into the technical aspects of the product and industry to learn them inside and out, and use that knowledge to inform your advice to the business - Support the team in other legal domains, which may include employment, trust & safety, policy, commercial, privacy, and IP WHAT YOU'LL NEED - A J.D. and admission in good standing with at least one state bar - 5+ years of dedicated litigation experience (can include clerkships) - Litigation experience in some combination of copyright, class action, securities, and regulatory matters - Deep knowledge of complex civil litigation practice and procedure, including discovery and federal and state court rules - A track record of running litigation matters, including developing case strategy, managing discovery, drafting and editing briefs, gathering information efficiently and preparing witnesses for depositions - A working knowledge of the key legal issues in Runway’s industry - Excellent written and oral communication skills. This includes giving practical, clear, and commercially sensible advice, and advocating for a position while staying open-minded - Sound judgment under pressure and strong business acumen - The ability to manage multiple workstreams, prioritize effectively, and consistently deliver results - A strong sense of ownership, both in the highest-level strategic work and in smaller day-to-day tasks - Creative problem-solving, low ego, curiosity, and a bias for action NICE TO HAVE - In-house experience (particularly at a technology company) - Experience with emerging technologies, particularly generative AI and copyright litigation - Familiarity with Runway and the generative AI video industry - Excitement about generative AI, and the motivation to become a leading expert in the legal landscape governing a rapidly innovating industry Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is looking for a driven, strategic, and entrepreneurial Sales Development Manager to lead and scale a team of SDR team in New York. This person will be responsible for building a high-performing team that generates pipeline across leading law firms, professional services organizations, and in-house legal teams. You will own hiring, onboarding, coaching, and performance management while partnering closely with Sales, Marketing, and RevOps to build a scalable pipeline generation engine. You'll also help shape Harvey's go-to-market strategy by refining targeting, messaging, and outbound programs that resonate with the North American legal market. If you're excited by the idea of building teams, developing talent, and driving impact at a fast-growing AI company transforming legal work, we'd love to meet you. WHAT YOU'LL DO - Own pipeline performance: Drive the SDR team's contribution to pipeline generation across inbound and outbound channels, ensuring strong alignment with sales targets. - Build and scale the team: Hire, onboard, and develop a high-performing SDR team, helping establish the structure, operating cadence, and performance standards for the New York market. - Coach and develop SDRs: Deliver hands-on coaching through regular 1:1s, call reviews, and deal strategy sessions to accelerate rep development and performance. - Design onboarding and enablement: Partner with GTM enablement to create onboarding and ongoing training programs that ramp SDRs quickly and build strong product, industry, and prospecting expertise. - Partner cross-functionally: Collaborate closely with Sales, Marketing, and RevOps to improve lead routing, campaign effectiveness, and pipeline conversion. - Refine targeting and messaging: Continuously test and improve outbound strategies, messaging, and account targeting based on ICP fit and performance insights. - Leverage data and tools: Use platforms such as Salesforce, Salesloft, LinkedIn Sales Navigator, Gong, and ZoomInfo to track team performance and optimize workflows. - Build a strong team culture: Foster a high-performance culture grounded in ownership, learning, and collaboration. WHAT YOU HAVE - 4+ years of experience in SaaS sales or business development, with at least 1–2 years of direct SDR or BDR leadership experience. - Proven success in building and managing pipeline-generating teams in a high-growth, outbound-focused environment. - Deep understanding of modern sales development tools (e.g., Salesforce, Salesloft, LinkedIn Sales Navigator, Gong). - A data-driven mindset with the ability to analyze team performance, uncover insights, and iterate quickly. - Experience building SDR processes from scratch—comfortable in ambiguity and excited to be the architect of something new. - A coaching-first leadership style: you invest in people, celebrate wins, and hold high standards with care. - Excellent communication skills and executive presence—both internally and externally. - Passion for AI, innovation, and the transformation of knowledge work—especially in professional services and legal. - Ability to influence tech stack decisions—develop recommendations and drive implementation. - Prior experience selling into legal or professional services firms is a plus but not required. COMPENSATION $220,000-$240,000 80/20 OTE DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

О РОЛИ Вакансия подразумевает позицию «мини-CEO» с полной ответственностью за развитие крипто-вертикали внутри компании. Продукты уже приносят выручку и имеют высокие метрики ретеншна. В ближайших планах — запуск Crypto IBAN и проработка концепта трейдинга в рамках регулируемого поля Евросоюза. ОСНОВНЫЕ ЗАДАЧИ — Полное владение P&L крипто-вертикали и управление юнит-экономикой. — Стратегическое развитие существующих продуктов (кошелек, карты). — Запуск и масштабирование новых направлений (Crypto IBAN, Trading). — Формирование команды и операционное управление процессами роста. — Взаимодействие со смежными департаментами для достижения бизнес-целей. ТРЕБОВАНИЯ К КАНДИДАТУ — 5+ лет опыта в B2C сегменте (Fintech / Crypto). — 4+ года профильного опыта работы с криптокартами или криптокошельками. — Обязателен опыт работы на стороне продукта (In-house роли). — Глубокое понимание крипто-рынка и умение работать в рамках финансового регулирования. — Сильные лидерские качества и предпринимательское мышление. УСЛОВИЯ РАБОТЫ — Роль с высоким уровнем влияния на успех компании и продукта. — Работа в быстрорастущем сегменте с подтвержденным рыночным спросом. — Высокое фиксированное вознаграждение и бонусы за достижение KPI. — Удаленный формат работы в сильной международной команде.

Location: Kazakhstan; Mongolia; China; Russia About the company Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms. Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring. Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps. About the role Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced Kazakh subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects. The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads. Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance. Requirements Responsibilities Responsible for the creation and QC review of SDH subtitle files using Pixelogic proprietary cloud based subtitling software Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications Handle rejections/make corrections in files Remain current with industry trends, and adapt to evolving client requirements Maintain the confidentiality of sensitive content. Requirements: Native speaker of Kazakh with a strong command of English Familiarity with additional languages is a valuable plus At least 2 years of experience in subtitling translation and/or proofreading is essential Exceptional attention to detail and commitment to accuracy Proven track record of meeting tight deadlines with flexibility in working hours Skilled at adhering to technical guidelines and style guides across diverse client content

Location: South Africa; Poland; Romania; Portugal; Czechia 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 Job Summary We are hiring a Senior Media Buyer with deep expertise in paid advertising and performance marketing. This is a high-impact remote role where you will manage and scale multi-platform campaigns, optimize ad performance, and drive revenue growth. Ideal for candidates experienced in handling large ad budgets and delivering consistent ROI. Key Responsibilities Plan, launch, and manage high-budget paid media campaigns across Meta (Facebook/Instagram), Google Ads, TikTok, and other platforms Analyze campaign performance and optimize for key metrics such as CPA, ROAS, and conversion rates Conduct audience research, A/B testing, and funnel optimization Collaborate with creative teams to develop high-converting ad creatives and copy Monitor and allocate advertising budgets efficiently to maximize returns Generate performance reports and present insights to stakeholders Stay updated on platform changes, trends, and best practices in digital advertising Requirements 4+ years of experience in media buying or performance marketing Proven track record managing ad budgets of $50,000+/month Strong expertise in Meta Ads Manager and Google Ads Experience with TikTok Ads and other emerging platforms is a plus Proficiency in analytics tools (Google Analytics, Hyros, Triple Whale, etc.) Strong understanding of conversion tracking, attribution models, and funnels Data-driven mindset with excellent analytical and problem-solving skills Experience working with eCommerce or lead generation clients preferred Excellent communication skills and ability to work remotely with global teams 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: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: India About the company Pixelogic Media Partners, LLC, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms. Pixelogic Media provides technology solutions to the entertainment industry. We are responsible for helping Hollywood Studios and content owners to get their content to global audiences by providing all language services including scripting, subtitling, access services and dubbing. Our products and services span the digital spectrum, from enhanced extras packages promoting digital purchase to physical disc authoring. Our clients include major Hollywood studios and dozens of independent studios. To date, we’ve delivered thousands of titles to iTunes, Google, Netflix, Amazon, and others. We’ve created a large percentage of iTunes Extras titles available on the App Store, developed the specification of and delivered the first Cross-Platform Extras titles, authored more than eight-thousand DVDs, two-thousand Blu-rays, as well as award-winning tablet and mobile apps. About the role Due to increased demand for localized content in the APAC region, Pixelogic is looking for experienced Odia/Oriya, Gujarati and Kannada subtitling translators and QCers to establish a professional, high-performing collaboration as part of our language services department with the end goal of servicing our clients’ end-to-end projects. The ideal candidate will be highly motivated, possess a flexible attitude, and adapt quickly in a fast-paced environment. In addition, they must be able to work as part of a team that deals with changing priorities and workloads. Due to the sensitive nature of the delivery schedule, time flexibility is of paramount importance. Requirements Responsibilities Responsible for the creation and QC review of SDH subtitle files using Pixelogic proprietary cloud based subtitling software Leverage in-house glossary tool for consistency across products as well as follow client style guide specifications Handle rejections/make corrections in files Remain current with industry trends, and adapt to evolving client requirements Maintain the confidentiality of sensitive content. Requirements: Native speaker of Odia/Oriya, Gujarati, or Kannada with a strong command of English Familiarity with additional languages is a valuable plus At least 2 years of experience in subtitling translation and/or proofreading is essential Exceptional attention to detail and commitment to accuracy Proven track record of meeting tight deadlines with flexibility in working hours Skilled at adhering to technical guidelines and style guides across diverse client content

Location: Romania; Georgia; Albania; North Macedonia; Serbia; Bulgaria 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 Job Summary We’re hiring a Technical SEO Specialist with a strong growth marketing mindset and UX awareness to optimize website performance, improve organic visibility, and enhance user journeys. This role goes beyond traditional SEO—you’ll be responsible for analyzing technical SEO metrics, identifying conversion bottlenecks, and improving on-site experiences. The ideal candidate has hands-on experience with Webflow , understands how websites are structured, and can collaborate effectively with developers—even if they are not actively coding. Key Responsibilities Conduct comprehensive technical SEO audits (site structure, crawlability, indexing, Core Web Vitals) Analyse and optimise user journeys and conversion funnels to improve engagement and lead generation Monitor and report on key SEO performance metrics (traffic, rankings, bounce rate, conversions) Identify and fix technical issues affecting SEO performance (redirects, broken links, site speed, metadata) Work within Webflow to implement on-page SEO improvements and optimise page structure Collaborate with developers and designers to enhance UX and site performance Execute growth marketing experiments (A/B testing, landing page optimisation, content improvements) Implement and optimise internal linking strategies and site architecture Stay updated with SEO trends, algorithm changes, and best practices Requirements 2–5+ years experience in Technical SEO or similar role Strong understanding of SEO tools (e.g., Ahrefs, SEMrush, Google Search Console, GA4) Experience working with Webflow CMS (highly preferred) Solid knowledge of website structure, HTML/CSS fundamentals, and on-page SEO principles Experience analysing user behaviour, funnels, and conversion data Familiarity with UX/UI best practices and CRO (Conversion Rate Optimisation) Strong analytical mindset with the ability to turn data into actionable insights Ability to collaborate with developers and communicate technical recommendations clearly Experience in growth marketing or performance-driven environments is a strong plus Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 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: Amsterdam, Netherlands; Germany; London, United Kingdom; Poland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior Software Systems Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system. In this position, you will be responsible for: Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation. We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). It would be a plus if you have: Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. Background in Software-Defined Networking (SDN) and experience with HPC cluster networking . Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow , and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We offer competitive salaries ranging from $170k-$300k + equity based on your experience. We conduct coding interviews as part of the process. #LI-LH2 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for an experienced Security Architect Manager to lead our cybersecurity architecture function, with a strong focus on Kubernetes security, cloud infrastructure, cloud-native architectures, and secure software development. The role is responsible for defining and implementing security architecture principles, designing secure cloud-native environments, and embedding security throughout infrastructure provisioning and software development lifecycles. The successful candidate will combine deep technical expertise in Kubernetes and cloud security with proven team leadership, architectural design, and cross-functional collaboration skills. They will work closely with Cloud Engineering, DevOps, R&D, Platform Engineering, IT, and Security teams to ensure that security is built into the organization’s technology foundations. Your responsibilities will include: Cybersecurity Architecture Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. Translate threat models, business requirements, and risk assessments into practical security controls. Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. Establish security controls for container orchestration platforms across development, testing, and production environments. Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management Develop technical security standards, architecture patterns, and security control baselines. Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. Define security requirements for identity, access, data protection, network security, workload isolation, and observability. Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. Track security findings and drive measurable improvements in the organization’s security posture. Team Leadership and Collaboration Lead, mentor, and develop a team of cybersecurity architects and security engineers. Define team strategy, technical priorities, delivery plans, and measurable performance indicators. Build effective partnerships with Cloud Engineering, DevOps, R&D, Platform Engineering, and other technology stakeholders. Communicate complex architectural risks and technical trade-offs to senior management and engineering leadership. Foster a culture of engineering excellence, automation, accountability, and continuous improvement. We expect you to have: 7+ years of experience in cybersecurity, security engineering, cloud security, or security architecture. 3+ years of experience managing technical teams or leading senior technical professionals. Strong practical knowledge of Kubernetes architecture and container security in production environments. Demonstrated experience securing cloud-native workloads and distributed systems. Strong expertise in AWS and/or Microsoft Azure security architecture. Hands-on understanding of Kubernetes RBAC, network policies, admission controllers, workload security, secrets management, and container runtime security. Experience with Docker or other container technologies, Kubernetes deployment workflows, and container registries. Strong understanding of cloud networking, IAM, encryption, key management, logging, and workload protection. Practical experience with Infrastructure as Code and automated security controls. Experience securing CI/CD pipelines and integrating security into software development processes. Knowledge of threat modeling, vulnerability management, security architecture reviews, and risk assessment methodologies. Proven ability to influence engineering teams and translate security requirements into scalable technical solutions. Excellent communication skills in English. Key Success Metrics Improved security posture and reduced attack surface across Kubernetes and cloud environments. Reduction in critical misconfigurations, excessive privileges, and recurring architectural vulnerabilities. Increased adoption of secure-by-design architecture patterns across engineering teams. Improved security coverage and automation across CI/CD pipelines and infrastructure provisioning. Reduced time to remediate critical security findings. Consistent implementation of Kubernetes and cloud security baselines. Improved collaboration between cybersecurity, cloud infrastructure, platform, and development teams. Development of a high-performing cybersecurity architecture team. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York, NY (HQ) Workplace: OnSite 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. Explore our Engineering Blog https://builders.ramp.com & Emerging Talent https://builders.ramp.com/emerging-talent Blog to learn more about how we build at Ramp and what it’s like to start your career here. ABOUT THE ROLE Ramp is, at its core, an engineering company. We’re looking for backend engineering interns (12 or 16-week co-ops) excited to solve challenging technical problems and ship products used by real customers. You’ll work alongside experienced engineers and own meaningful projects from inception to production. We value strong technical fundamentals, high ownership, and people who learn quickly, whether or not they’re familiar with our stack. WHAT YOU’LL DO - Build performant, reliable, and scalable systems powering Ramp’s products - Own meaningful projects from design through launch - Solve problems across areas like payments, risk and fraud, financial infrastructure, data, and AI - Work closely with product and business teams to understand customer needs and improve our products - Contribute to engineering tools and systems that help Ramp scale WHAT YOU’LL NEED - Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later - Strong computer science and programming fundamentals - Track record of building and shipping high-quality products, features, or projects - Ability to turn ambiguous product and business problems into engineering solutions - Desire to learn quickly, take ownership, and work in a fast-paced environment NICE TO HAVES - Experience with or interest in Python and backend development - Familiarity with or desire to learn our stack, including Flask, PostgreSQL, Temporal, Elixir, and AWS - Interest in fintech, AI, or building products at scale COMPENSATION The monthly rate for this internship is $12,500 + a housing stipend. RAMP BENEFITS - Apple MacBook - Catered lunches and dinners in our NYC office Monday through Friday   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