Вакансии

Location: Poland OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy INFUSE is looking for a Senior DevOps Engineer to own and evolve our AWS infrastructure, CI/CD pipelines, and observability stack. You will bridge cloud engineering and software development across our entire product suite, including production LLM products and legacy systems requiring modernization. We need a proactive technical partner to lead our transition to EKS and GitHub Actions, enforce zero-trust security baselines, and mentor engineering teams along the way. As part of our dynamic team, your responsibilities in this role will include: Design, build and run secure AWS infrastructure (EC2 with Docker Compose, EKS) with Terraform and Ansible ; move suitable workloads from EC2 to EKS Build and maintain CI/CD in GitHub Actions ; move remaining Jenkins jobs to GitHub Actions Keep new and existing services at our security baseline: Cloudflare proxy with WAF and rate limiting, origins open only to Cloudflare, SSM access, no public SSH, least-privilege IAM, secrets rotation, regular patching and rebuilds, no containers running as root Own monitoring, alerting and logs on our standard stack ( Grafana, OpenTelemetry, Sentry ); on-call, incident response, post-incident reviews Own backups and regular restore tests Control AWS cost: tags, rightsizing, removing unused resources, estimates for new projects Regularly review the infrastructure we run, find risks and waste, and come with a plan without waiting for a ticket Take over infrastructure that is undocumented or run by contractors; document it and bring it under IaC, CI/CD and our standards Join new projects at kickoff: review hosting design, estimate cost, prepare infrastructure for the production-readiness review Work with internal teams and contractors ; set and enforce standards; mentor other engineers. Our ideal candidate possesses the following skills: 5+ Years in DevOps / SRE: Proven background operating mission-critical production environments, including 3+ years of hands-on experience running AWS at scale IaC & CI/CD Mastery: Expert with Terraform , highly proficient with Ansible , and experienced in designing production workflows with GitHub Actions Containerization & Kubernetes: Strong production experience with Docker and Kubernetes (specifically managed AWS EKS and Helm ) Production Security & Incident Management: Hands-on practice with platform hardening, zero-trust patterns, automated secrets management, system patching, and Cloudflare WAF/proxy configuration. Comfortable with on-call rotations, incident response, and executing verified backup restore drills English proficiency at B2 level or higher . What Else We Expect & Value: Application Ecosystem Familiarity: Experience supporting Node.js and Python microservices paired with PostgreSQL and Redis, as well as web stacks (WordPress, Nginx, PHP-FPM, MySQL) behind Cloudflare Modern Observability: Practical setup and maintenance of Grafana , Prometheus , and OpenTelemetry pipelines Core Scripting & Systems: Deep fluency in Linux administration, Bash , and Python scripting. Collaborative Leadership: Ability to effectively manage, document, and standardize work across internal teams and external contractor groups. AI-Augmented Workflow: Daily experience leveraging modern AI developer tools and agents ( Claude Code preferred ) to accelerate engineering output. Proactive & Autonomous Mindset: A self-starter who actively audits environments, catches vulnerabilities before they become outages, and brings actionable proposals to the table. Nice to have: Kafka (MSK), Jenkins, ClickHouse, Backstage, Sentry, Langfuse, SonarQube/Trivy/gitleaks, Cloudflare Zero Trust, AIOps, leading a small DevOps team, AWS/CKA certifications. What we offer: Fully remote work format Schedule: Monday–Friday, 2 PM – 11 PM Eastern European Time (including 1 hour break) A collaborative, innovation-first environment that values initiative and experimentation Paid time off and sick leave Reduced working hours on Fridays during the summer Days off on US national holidays and your birthday. Hiring process: Interview with Recruiter Technical Interview Interview with Hiring Manager Offer. If you meet these criteria and are excited about contributing to our team, we encourage you to apply. We look forward to meeting you! 👋

— Develop AI-based software solutions for the legal sector. — Automate complex legal workflows end-to-end.

Location: Сочи Мы команда направления Disrupt внутри СверхТеха. Занимаемся разработкой AI-продуктов и MVP. Мы ищем технического лидера, который будет помогать запускать новые продукты и MVP внутри СверхТех: от идеи и прототипа до первых тестов с пользователями. Это роль для человека, который умеет не только писать код или собирать демо, но и организовывать команду вокруг гипотезы, быстро проверять продуктовые решения и доводить инициативы до понятного результата. В фокусе задачи - работа со студентами, молодыми предпринимателями и проектными командами на территории Сириуса в Сочи. Нужно будет помогать им формулировать идеи, собирать MVP, использовать современные agentic systems вроде Codex, Claude, Cursor и других AI-инструментов, а также сопровождать техническую сторону разработки. Обязанности ### Обязанности * создание и тестирование новых продуктов и MVP внутри СверхТех для команды Disrupt * помощь командам в прохождении пути от идеи до рабочего прототипа: постановка гипотез, выбор технологий, сборка MVP, первые тесты * организация работы студентов и молодых предпринимателей: распределять задачи, помогать с приоритизацией, поддерживать темп команды * проведение и организация хакатонов, проектных интенсивов и продуктовых спринтов на территории Сириуса в Сочи * техническая поддержка по вопросам разработки продуктов: архитектура, backend/frontend, AI-инструменты, интеграции, прототипирование * помощь при внедрении agentic development-подхода в работу команд: Codex, Claude, AI-IDE, автоматизация разработки, быстрые эксперименты * участие в оценке идей, MVP и команд: техническая реализуемость, скорость проверки, качество результата, потенциал развития. Требования ### Требования * опыт разработки с использованием agentic systems: Codex, Claude, Cursor, ChatGPT, AI-агенты от 5 лет * опыт создания собственных продуктов, pet-проектов, стартапов, внутренних MVP или R&D-прототипов от 5 лет * опыт организации и управления небольшой командой: ставить задачи, держать фокус, помогать менее опытным участникам двигаться быстрее * понимание современной разработки, API, веб-продуктов, баз данных, AI-инструментов и быстрого прототипирования * способность объяснять сложные технические вещи простым языком студентам и начинающим предпринимателям. ### Будет плюсом * опыт работы в DS/ML, LLM, RAG, AI agents или прикладных AI-продуктах * опыт запуска собственных продуктов или участия в стартапах * опыт организации хакатонов, акселераторов, образовательных программ или проектных школ * опыт наставничества студентов, junior-разработчиков или молодых предпринимателей * понимание продуктовой разработки: пользовательские интервью, MVP, метрики, тестирование. Условия ### Условия * гибридный формат работы из офиса в г. Сочи (Сириус) * годовой бонус и ежегодный пересмотр * ДМС с первого дня + стоматологию и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Zurich, Switzerland 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. Role Summary Nebius Token Factory is building production-grade inference for open-source, customer, and internally optimized models. This role owns the path from model artifact to fast, reliable, cost-efficient endpoint. The work sits at the intersection of model internals, inference engines, serving architecture, benchmarking, and production deployment. What You Will Do Own a platform-level optimization pillar such as quantization, speculative decoding, KV -cache optimization, engine selection, or long-context serving. Create reusable evaluation, benchmarking, and rollout frameworks across multiple model families. Provide technical direction to MLEs, Applied Scientists, GPU kernel engineers, and infrastructure engineers on shared performance goals. Optimize LLM and VLM endpoints for latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, or similar systems. Build and productionize model-compression workflows, including quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. Build reproducible benchmark harnesses for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Partner with GPU kernel engineers and platform engineers to diagnose bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Write clear design docs, performance reports, rollout plans, and customer-facing technical explanations. Required Qualifications Strong Python and PyTorch engineering skills. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference systems. Practical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or equivalent internal systems. Strong understanding of transformer inference bottlenecks, including KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to reason quantitatively about latency, throughput, quality, utilization, and cost tradeoffs. Strong communication skills and ability to collaborate with research, kernel, infrastructure, product, and customer teams. Preferred Qualifications Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant, or related techniques. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or other inference acceleration methods. Experience with agentic workloads, including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. CUDA or Triton familiarity, even if the role is not primarily a kernel-engineering role. Open-source contributions to vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, KServe, or related projects. 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: Remote Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE This is a hands-on technical role. You will join during a period of high growth for the IT team as the company expands its headcount, global footprint and opens new offices. You will work closely with the Security and Operations teams to keep our endpoints, offices, networks, and SaaS tools secure, while making sure people stay as productive as possible with the tools we have. You'll own and deliver technical projects across identity, endpoint management, office infrastructure, automation, and compliance, helping us build scalable IT systems that support the company as it grows. REQUIREMENTS - Strong hands-on background in IT Engineering, Technical Operations, or a DevOps-adjacent role, with an automation-first mindset and experience managing enterprise scale IT systems - Strong knowledge of identity and access management technologies (SAML, SCIM, OIDC) with tools such as Okta and Google Workspace - Expertise with Mobile Device Management tooling (e.g. Jamf, Kandji, Fleet) across a device fleet. - Scripting skills (Python, Bash, or similar) with a proven track record of automating compliance checks, device configuration, and other IT security tasks. - Experience managing office network equipment (e.g. Cisco Meraki, Ubiquiti), including office buildouts. - Proven ability to maintain compliance with SOC 2 / ISO 27001 (or similar) standards, paired with a friendly, end-user-focused attitude. - Prior experience in a high-growth or startup environment. BONUS - Experience implement corporate security controls / previous security role experience - Strong hands-on experience with VPNs, firewalls, and secure network environments, including modern practices such as Zero Trust networking. - Experience with OSquery and Santa - Terraform or other infrastructure as code experience. - Open source contributions (e.g. a tool you built to automate something). LOCATION This role is remote but if you prefer, you can work from our offices in London, Warsaw, New York or San Francisco. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a Founding ML Engineer at Senior or Principal level to lead the transition of Newton, Aghanim’s AI product for partners, from proprietary model APIs to models we control. Newton already runs in production on frontier models. You’ll own the model layer end to end: data collection, evaluation, post-training, serving, and rollout. The goal is to preserve the quality partners rely on while reducing cost, improving speed, and keeping partner data within our infrastructure. You’ll work closely with the product to understand its behavior and partner expectations, then independently define the technical approach and priorities. Decisions about training, routing, and model replacement should be backed by production data and evaluations. KEY RESPONSIBILITIES - Build production data pipelines that capture versioned instructions, tool calls, outputs, costs, and outcomes, with anonymization, partner-level deletion, and expert corrections. - Develop benchmarks, regression tests, and code-based and LLM-judge evaluators using real Newton runs to measure factual accuracy, tool use, answer quality, cost, and latency. - Compare frontier and open-weight models, route tasks to suitable models, and identify where prompting, distillation, or post-training delivers the best results. - Train and adapt models using distillation, SFT, LoRA/QLoRA, and DPO on accepted trajectories and expert feedback; use RL where simpler approaches fall short. - Deploy models behind Newton’s existing interface, validate them through shadow runs, and manage rollout based on quality benchmarks and serving economics. Tech stack: Python, TypeScript, SQL, self-hosted Langfuse, TRL / Unsloth / Axolotl or managed training platforms, vLLM, serverless GPUs, GCP / Modal; open-weight models including Qwen, Gemma, DeepSeek, and GLM. REQUIRED QUALIFICATIONS - Hands-on experience post-training LLMs and shipping them to production using SFT, LoRA/QLoRA, DPO, and distillation. - Experience building evaluation systems from production data, including offline benchmarks, regression and behavior tests, and code-based and LLM-judge evaluators. - Understanding of agentic systems, including tool calling, multi-step trajectories, structured outputs, and the impact of changing the underlying model. - Practical experience serving models with vLLM or similar tools, quantization, and GPU deployment, including latency, cold-start, and cost tradeoffs. - Strong production Python and SQL skills, with enough TypeScript proficiency to modify product code and instrumentation independently. - Ability to understand product behavior and user expectations, translate them into measurable quality requirements, and decide when training is justified. - Experience independently owning a technical area, setting priorities, and working across an unfamiliar codebase and its design documents. - Regular use of AI coding agents, with a clear approach to verifying their output. PREFERRED QUALIFICATIONS - Experience migrating a production product from proprietary model APIs to self-hosted or open-weight models. - Experience with RL for LLMs, particularly GRPO with automatic verifiers. - Familiarity with Langfuse, Braintrust, or similar tracing and evaluation tools. - Experience with GCP, including Vertex AI, Cloud Run GPU, and BigQuery. - Interest in game monetization and analytics. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Remote About us OpenZeppelin is the security standard onchain finance is built on. Founded in 2015, our mission is to accelerate the world's transition to an open financial system, built on open standards and secured by rigorous research. Our open-source Contract Libraries have facilitated over $35 trillion in onchain value and are used by 10 of the top 10 tokenized money market funds and 9 of the top 10 stablecoins by market cap. We combine AI-native security tooling with deep research and a decade of audit expertise to support leading institutions and crypto-native teams shaping the next generation of digital assets like DTCC, Fidelity, Coinbase, Uniswap, Aave, the Ethereum Foundation, and many more across the full secure development lifecycle. Please note: Always refer to OpenZeppelin's official job page for the most accurate information about our open roles, as we have seen multiple third party job sites posting inaccurate information. The Marketing Team The Marketing Team at OpenZeppelin drives awareness and adoption across every product and service we ship, from the flagship OpenZeppelin Contracts Libraries to security audits, developer tooling, and solutions for financial institutions. Working hand-in-hand with Product, Design, Sales, and Open Source Engineering, the team owns messaging, go-to-market strategy, content, and events that position OpenZeppelin as the security standard for onchain finance. What you'll be doing As OpenZeppelin’s Lead Product Marketer for Financial Services, you will own how we position, launch, and sell our solutions to banks, asset managers, and financial market infrastructures. You will lead the go-to-market for new institutional solutions, from positioning through launch and adoption, and make sure Sales has what it needs to win. You will work AI-native by default: building the workflows, agents, and tools that let you research faster, create better content, and give Sales assets that adapt to every account instead of going stale. You will Own positioning and messaging for our institutional solutions, defining value propositions, differentiators, and messaging by use case and buyer persona. Lead product launches for new institutional solutions, from launch plans and timelines through announcement, assets, and post-launch adoption. Enable Sales with AI-native assets: sales kits, pitch narratives, one-pagers, battlecards, and evaluation materials built to be customized per account and kept current, not static decks. Run AI-powered competitive and market intelligence by building workflows that track competitors, regulatory developments, and industry news, and turn them into actionable insights for Sales, Product, and leadership. Build use-case and solution pages directly in our CMS, explaining clearly what we offer, who it is for, and why it matters. Support early adopter and design partner programs, shaping the materials and narrative that turn institutional interest into qualified opportunities. Contribute to institutional content, including research reports, thought leadership, and newsletter topics, using AI workflows to research, draft, and repurpose efficiently. Create light social media content when valuable content or launches go live, in coordination with the wider Marketing team. Close the loop with the product owners by bringing customer and market feedback into roadmap and packaging discussions. Measure what matters by defining launch and adoption metrics and reporting on results. Location All positions at OpenZeppelin are 100% remote, however you should be located between UTC-5 and UTC+2 to be seriously considered for this position. You have 3+ years in product marketing at companies selling to institutions: financial services, digital asset service providers, or blockchain companies with an institutional customer base. A proven track record of marketing to banks, asset managers, or market infrastructures at a company that actually won their business. You already know what these buyers want, how they evaluate, and what makes them move. An AI-native way of working. You build and use AI workflows daily for content creation, research, competitive monitoring, and sales assets, and can show examples of what you’ve built. A solid understanding of digital asset and tokenization use cases, such as tokenized deposits, money market funds, repo, and stablecoins. Exceptional writing skills, with the ability to make complex technical and regulatory topics clear and credible for senior audiences. Experience working closely with Sales and Product to turn strategy into assets that are actually used in deals. Strong project management skills and comfort working through compliance and approval processes. A self-driven, collaborative mindset that thrives in dynamic environments. Nice to have Experience in product marketing for services (security, consulting, or professional services), not only software products. Experience building web pages through a headless CMS such as Sanity. Familiarity with blockchain technology and smart contract development. Experience running beta, pilot, or design partner programs. Experience with HubSpot or similar marketing automation tools. Logistics: Our interview process takes place on Zoom and tends to consist of the following stages: Recruiter Interview (30-45 min) Hiring Manager Interview (60 min) Team Interview (45 min) Leadership Interview (30 min) Paid, take-home work test (Lasting up to 10 days) Reference checks Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance. Benefits Meet your teammates at company gatherings around the world 😎 Enjoy the flexibility of fully remote work 🌎 Take the time you need with flexible time off 🏝 Grow your family with 8 weeks of paid leave for primary caregivers, 4 weeks for secondary caregivers, and a one-time $3,600 baby bonus 💙 Build your ideal home office with up to $500 in equipment support 🪑 Stay covered with medical insurance 🏥 Keep growing with learning and development opportunities 🧠 Get a monthly stipend for your preferred co-working space 💻 At OpenZeppelin , we are an equal opportunity employer and we value different perspectives. We are committed to building a diverse workforce. This includes but is not limited to gender, race, sexual orientation, religion, national origin and other characteristics that make each one of us unique. In this uniqueness, we find the most value. Come join us! Use of AI as part of the recruiting process As part of OpenZeppelin’s recruitment process, we may use automated tools, including artificial intelligence, to assist in reviewing applications and assessing candidate qualifications. These tools are used to support our People team by identifying relevant skills and experience, and are not used to make decisions solely by automated means. All hiring decisions involve human review. Any personal data provided as part of your application will be processed in accordance with OpenZeppelin’s Data Privacy Notice . If you have questions about this recruitment process or would like to request human review of your application, please contact us at talent@openzeppelin.com.

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Collaborate with Product Managers and Delivery Leads to define, refine, and prioritize product requirements Gather, analyze, and document business requirements, user stories, acceptance criteria, and business processes Conduct stakeholder interviews, workshops, and user feedback sessions to understand business and user needs Translate requirements into well-structured Jira epics, features, user stories, and tasks Work closely with UX/UI Designers to define user journeys, personas, workflows, and usability requirements Collaborate with engineering and data teams to clarify requirements and support iterative Agile delivery Support the design and validation of AI-powered workflows, including agentic AI interactions and business processes Create and maintain product requirements, process documentation, and knowledge-base materials in Confluence Partner with QA teams to define test scenarios, acceptance criteria, and validation approaches Collect, analyze, and manage user feedback, enhancement requests, and product improvement opportunities Support product releases, user adoption, rollout, and change management activities Maintain a well-structured and prioritized product backlog in collaboration with stakeholders What we expect : 3+ years of experience as a Business Analyst working on software development or digital product delivery projects Experience working in the Life Sciences, pharmaceutical, biotechnology, healthcare, or biomedical research domains Practical experience supporting the delivery of AI-powered applications or solutions Strong understanding of Agile methodologies, including Scrum and/or Kanban. Hands-on experience with Jira and Confluence Proven experience gathering, analyzing, and documenting business requirements, user stories, and acceptance criteria Experience collaborating with cross-functional teams, including Product Management, UX/UI, Engineering, and QA Experience supporting the end-to-end software development lifecycle, from discovery and requirements gathering through testing and release Strong analytical thinking and ability to translate complex or ambiguous business needs into clear, actionable requirements Experience facilitating workshops, stakeholder interviews, and requirements review sessions Excellent communication, documentation, and stakeholder management skills Strong English communication skills Nice to have : Experience working on Agentic AI, or Generative AI (LLM-based) applications Understanding of AI concepts and technologies, including Retrieval-Augmented Generation (RAG), knowledge graphs, semantic search, and metadata management Experience delivering data-centric products, such as data catalogs, data discovery platforms, or scientific knowledge management solutions Familiarity with clinical data management concepts, including real-world data (RWD) and real-world evidence (RWE). Understanding clinical data governance, privacy regulations, and compliance requirements, including GDPR and HIPAA, in the scope of development of AI solutions. Ability to interpret and integrate molecular, clinical, and diagnostic data to support research and healthcare applications. Experience supporting multiple products or workstreams simultaneously We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

-Разрабатывать функциональное ПО проекта на основе подробного технического задания, программировать внутреннюю логику работы и производить рефакторинг в случае необходимости. -Автоматизировать генерацию отчетов и парсинг данных.

Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs $500M+ per year in ad spend and has grown 5× since March. The AI marketing engineer role involves owning the client's marketing targets and improving metrics by automating media buying. Задачи: — Onboard clients by connecting their full-funnel data and ad accounts, setting business context including unit economics, P&L, products, geos, funnels, and media buying playbook. — Adapt and build automation skills and rules from Plurio's catalog or create new ones as needed, backtesting on historical data before deployment. Rules are deterministic SQL with campaign logic and guardrails. — Explain agent decisions and methodology changes to clients' Heads of UA and CMOs, assist marketers in running the agent, and handle discussions about spend and KPIs. — Standardize successful approaches into reusable templates and methodologies for future clients. Требования: — Managed approximately $500K+/month in ad spend hands-on on one or multiple channels (Meta, Google, TikTok). — Deep understanding of buying mechanics: account structure, optimization events, creative testing thresholds, scaling, burnout, budget allocation, attribution windows. — AI-native with experience automating parts of buying via rules, scripts, or skills in Cursor, Claude, or platform APIs. — Systems thinking: ability to logically chain goals, plan roadmaps, and clearly explain processes. — Client-facing experience communicating with Heads of UA, defending ideas with data and experiments, and maintaining relationships. — Ability to convert proven results into templates and methodologies for scaling. — Strong English communication skills. Условия: — Competitive base salary plus performance bonus based on client results. — Two grades hiring: Middle ($72,000–$96,000/year) and Senior ($102,000–$126,000/year) on-target earnings, gross. — Remote work worldwide within timezones up to UTC+5. — Provided laptop, software, and AI tools including Cursor, Claude, Codex, and shared AI infrastructure. — 50% coverage of relevant educational costs. — Vacation: two weeks twice a year plus holidays. — Employment via Deel contract. Процесс отклика: — Apply via the "Apply for this role" button on the linked page with social media and contacts. — Recruiter contacts within two days. — Calls with leadership and CPO including background, methodology, compensation, math, and AI mechanics. — Presentation of a built project. — Offer.

Location: San Francisco Bay Area, California; Los Angeles, California; Berkeley; Oakland; Daly City; San Mateo; Palo Alto, California; San Jose Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship How we hire Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion. We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.

Location: New Jersey; New York; Connecticut Workplace: hybrid At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production. Then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter, without the layers, politics, and long wait for impact of a firm with a hundred thousand people. 350+ builders, 100+ customers in production, led by our founders since 2010, offices across North America, LATAM, and EMEA Why Provectus? Frontier access. Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process, not a vendor running a project alongside it. Embedded is not staff augmentation. Autonomous . You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy maintenance grind, not a single stack. Craft & growth. Build beside senior FDEs on a Claude certified team, with a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive. You are the one who builds it Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously You won’t start from zero. Provectus builds industry Blueprints, working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands on today and intend to stay that way Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly Shipped GenAI/LLM systems to production, not demos, not notebooks. You’ve handled the parts that get hard after the prototype works You evaluate. You have built or owned an eval suite for a nondeterministic system, and you can explain what you measured and why Strong engineering fundamentals. Dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack Cloud native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits Presales experience. Credible with senior stakeholders: you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job Hands on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses) Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production IaC depth: AWS CDK, CloudFormation, Terraform Open source contributions or public writing on applied AI What We Offer: Full time On site visits to client’s facilities and our office in NYC once a week Unlimited Vacation policy Generous health, vision, and dental insurance 401(k) matching plan Base salary $180k to $250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data No Visa sponsorship We’re real: A person reads your application. We filter out AI generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We’d be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Cofounder & CEO How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: New York City Metropolitan Area; New Jersey; New York; Manhattan, New York; Massachusetts; Connecticut; Brooklyn, New York Workplace: remote About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.  Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.  Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: USA Workplace: Remote SENIOR TECHNICAL TRAINER — AI / DEVOPS Remote, worldwide · Freelance course project with a path to full-time We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps, cloud, Kubernetes and AI. Its courses are built around real labs, not slides, and taught by practising engineers who are great on camera. We’re looking for a DevOps engineer who loves teaching to create and present a course on AI for DevOps: how engineers use AI agents and modern AI tooling in real infrastructure work. This role suits you if you already teach as part of what you do: you’ve published courses on Udemy, Pluralsight or YouTube, written a book, worked in DevRel, run workshops, or regularly speak at meetups and conferences. How it works - It starts with one paid course project. You can do it alongside your current job. There’s no fixed weekly-hour requirement, just a delivery plan you agree on together. A typical project takes around 3 months. - The goal is long-term. The team is growing its internal trainer pool, and the first project is how both sides find out if it’s a fit. After that, it can lead to a full-time role or more course projects. - A fixed fee per course is agreed upfront, based on course length and topic complexity. Fees are competitive, and advanced topics and exceptional instructors are paid accordingly. Payment is made on delivery of the completed course. - Fully remote with flexible hours. Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team. What you’ll do - Shape the course with the curriculum team: sections, lessons, and hands-on labs. - Write lab specs that a dedicated labs team builds, then test them. - Write and narrate short, story-driven video lessons (about 6 minutes each). You’re welcome to use AI to draft, but the final script should sound like you. - Record demo and lab-solution walkthroughs. - Work through structured editorial feedback, especially on your first section. Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching. What we’re looking for - Hands-on DevOps foundations: Linux, containers, Kubernetes, a major cloud, CI/CD, IaC. You build and run infrastructure yourself. - Real, current use of AI in your engineering work: AI agents, coding assistants, LLM-based automation. Deep AI specialisation isn’t required, but curiosity and staying current are. - Excellent spoken and written English. All courses are scripted, narrated and delivered in English, so you need clear, natural, easily understood English and confidence on camera. - A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring you’ve done because you enjoy it. - The ability to explain complex topics simply, with empathy for beginners. - Clear, engaging spoken English and confidence on camera. - Openness to an established teaching methodology and to editorial feedback. Nice to have - Published online courses or a book. - Conference talks, a growing YouTube channel or blog, or community roles (CNCF Ambassador, AWS Community Builder, Microsoft MVP, etc.). - Kubernetes (CKA/CKAD/CKS, Kubestronaut) or AWS/Azure certifications. How to apply Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.

Location: Warsaw, Poland; Serbia; Romania On behalf of AdTech Client #1 , SD Solutions is looking for a Senior AI Engineer to join Gen AI team within the Apps Engineering Group in Tel Aviv. You will join a team that is developing Nexxen's next-generation Conversational Agents, designed for seamless integration across our platforms. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Develop and implement innovative AI-driven solutions to advance platform capabilities. Work closely with different stakeholders, including developers, product managers, and business operations, to align goals and outcomes. Lead the development of Conversational Agents, from concept design to production deployment. Explore and research advanced AI technologies and integrate with external APIs and services. Lead and mentor other developers, providing guidance and expertise on complex projects. Requirements: BSc in Computer Science or related degree. 6+ years of experience in building customer-facing full-stack applications. 2+ years of hands-on experience with Python- a must! Deep understanding of large language model (LLM) core concepts and usage, including prompting and reasoning strategies - a must! Proficiency with SQL and NoSQL databases Experience in designing agentic workflows- an advantage Experience with Node.js, particularly Nest.js Experience with Langchain or Langraph - an advantage Excellent spoken and written English skills. Proactive, collaborative mindset with a passion for impacting engineering teams, products, and customers. About the company: A large-scale advertising technology company building audience intelligence and campaign automation tools for brands, agencies, and publishers across multiple digital channels. The platform processes vast data volumes to enable programmatic decisions and measurable business outcomes at a global level. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas About the role The Demand Planning team sits at the intersection of traffic forecasting, infrastructure strategy, and operational execution. We predict when, where, and how many servers to deploy across Cloudflare's global edge so that customers' traffic stays in-region and they never have to think about infrastructure. This is not a reporting role — it is a planning and engineering role that requires you to build the models, own the data, and translate forecasts into real deployment decisions. As a Capacity Engineer, you will own one or more planning regions end-to-end with light supervision. That means maintaining the models, catching problems before they become incidents, working directly with hardware sourcing and infrastructure teams, and contributing to the data pipelines that feed your planning work. You will be the point of contact for your region — not someone who supports a more senior planner, but someone who runs the work. This is a role for someone with 3-5 years of experience who is ready to operate with real ownership and is actively growing toward full autonomy. You will work alongside senior peers who set team-wide standards, and you will be expected to contribute to cross-regional consistency — not just execute within your own lane. You will also work fluently with AI tooling, including OpenCode AI and MAS agent workflows, as a normal part of how planning gets done on this team. Why Cloudflare/ Why This Team Cloudflare's network spans hundreds of cities and carries a meaningful fraction of global internet traffic — the planning decisions this team makes have direct consequences at that scale. The Demand Planning team is in an active transition from manual planning toward intelligent, automated, AI-augmented capacity systems, and this role puts you at the center of that shift. You will work on problems that are genuinely hard, with teammates who take the craft seriously, in a team small enough that your work is visible and your contributions matter from day one. What you'll do - Own one or more edge planning regions end-to-end, producing deployment recommendations with minimal supervision - Maintain and continuously improve regional planning models, incorporating new traffic patterns, hardware generations, and infrastructure changes - Build and maintain data pipelines that feed regional planning — using BigQuery, Python, and Jupyter notebooks to query, explore, and validate planning data - Work directly with hardware sourcing, DCS, and infrastructure teams to translate forecasts into actionable deployment plans - Proactively identify capacity risks in your region and surface them before they require escalation - Use OpenCode AI and MAS agent tooling as a standard part of your daily planning workflow - Contribute to cross-regional consistency efforts alongside peers — shared methodology, shared standards - Participate in planning reviews and communicate forecast outputs clearly to non-technical stakeholders Desirable Skills, Knowledge, and Experience: - 3-5 years in an analytical, planning, or technical infrastructure role - Working SQL proficiency — comfortable querying and joining datasets in BigQuery to answer planning questions - Python proficiency — data analysis, scripting, and automation of planning workflows; comfortable working in Jupyter notebooks as a day-to-day analysis environment - Comfort working with large infrastructure datasets and translating them into decisions - Clear written and verbal communication — you can explain a capacity recommendation to a finance partner or a network engineer without losing either of them - Demonstrated ability to own a workstream end-to-end with light supervision What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: London Workplace: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact As our Senior Product Marketing Manager, you'll be leading go-to-market for Mollie's online payments product space. This is our core product offering and includes cards, Klarna, pay by bank and other products. You'll translate product capabilities and roadmap into positioning and coordinated marketing activity, connecting product strategy with execution across marketing, sales, and customer success. A key and evolving focus of this role is Agentic Commerce, an emerging area involving AI facilitated shopping that requires deep technical knowledge and strategic partnerships with entities like Visa and Mastercard. You'll play a central role in building thought leadership and developing tools such as Generative Engine Optimization to support merchants navigating this space. This role is particularly exciting because it ensures Mollie's core products are successfully brought to market and aligned with what customers actually need. By turning customer insight into strategic marketing initiatives, you'll directly support Mollie's commercial success. What you'll ship - Go to market plans built with product teams, covering technical product understanding, value and benefits, positioning, value propositions, USPs, ICPs, use cases, and messaging - Coordinated launch activity across channel teams, bringing GTM plans to life in the market - A launch framework covering foundations, pre-launch, launch, early momentum, proof points, and ramp-up - Briefs, asset lists, and competitor research that support each launch - Project timelines kept current as product readiness or market events shift - Coordinated alignment between product and go-to-market teams when roadmap dependencies or external industry timing affect launch dates What you'll bring - 5+ years of marketing experience, at least 3 of those in product marketing - End-to-end go-to-market planning experience, including ICP definition, positioning, and launch timelines - Experience in the online payments space or related areas, such as working with partners like Shopify. Prior fintech or payments exposure helps you ramp up quickly, but a strong technical product background from another vertical can also work - Strong messaging and positioning skills, with the ability to craft compelling value propositions and clear differentiation - Technical fluency, able to translate product specs, roadmaps, and integrations into GTM-ready language, with comfort using data platforms such as Looker, HubSpot, or other BI tools - Experience researching competitors and industry trends, running customer interviews or surveys, and using analytics tools to measure performance and shape strategy - Proven cross-functional project management - Strong presentation skills for internal decks and training Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com/ is really like. AI at Mollie We believe in Always Be Shipping, and AI brings https://jobs.mollie.com/ai-manifesto that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: Dallas 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 We are looking to hire a Deal Operations Analyst to support Harvey AI’s growing global sales organization. This role sits at the center of quote-to-cash execution, partnering closely with Sales, Deal Desk, Finance, and Legal to ensure deals are accurately structured, approved, and closed. This is a hands-on operational role for someone who enjoys being close to the deal flow, solving process issues in real time, and helping scale systems and workflows as the business grows. WHAT YOU'LL DO - Review, validate, and process customer orders to ensure accuracy, compliance with pricing and contracting policies, and readiness for booking and billing - Support Sales reps with Salesforce (SFDC) opportunity management, quoting workflows, and deal hygiene - Manage and triage a Deal Operations ticketing queue, ensuring timely responses and clear communication with stakeholders - Act as a frontline support resource for SFDC and CPQ-related questions from Sales - Assist with CRM and CPQ enhancements, including: - gathering and drafting business requirements - supporting user acceptance testing (UAT) and QA - helping roll out new workflows, fields, or guardrails - Contribute to sales and deal desk enablement, including documentation, process guides, and training support - Identify recurring issues or inefficiencies in quote-to-cash processes and surface recommendations for improvement WHAT YOU HAVE - 2-4+ years of experience in Sales Operations, Deal/Order Operations, Revenue Operations, or Order Management - Strong attention to detail and comfort working with complex deal structures - Working knowledge of Salesforce (SFDC) as a CRM, including opportunity and quoting workflows - Exposure to CPQ tools (e.g., Salesforce CPQ, DealHub, Ironclad CLM, or similar), with a basic understanding of how pricing and approvals are operationalized - Experience managing or working within a ticketing or queue-based support model (e.g., Zendesk, Jira, Salesforce cases, or similar) - Prior involvement in CRM/CPQ projects or enhancements, such as documenting requirements, participating in testing, or supporting system rollouts - Ability to communicate clearly with Sales, Finance, Legal, and Operations stakeholders - Comfortable operating in a fast-paced, evolving environment where processes are still being defined COMPENSATION $108,300 - $148,950 USD 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-TM1 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