Вакансии

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales. This is a full-time, fully remote position. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll D o Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking Fo r 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skill s Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is building the operating system for knowledge work, and we want people to be able to do substantive knowledge work from their phone. A great native app is what makes that possible. On Android, that means Notion should feel like it was built for the platform: fast to open, smooth to scroll, and reliable offline or on a spotty connection. We’re investing in a more native foundation for how people read, write, and edit in Notion. That lets users capture ideas in the moment, find answers across their workspace, manage tasks and projects, and work with teammates, with the speed, polish, and dependability people expect from the best apps on their phone. As an Android engineer, you’ll help build that native foundation, from how pages render and how people write and edit, to the navigation and app chrome people use every day, like Home, Search, and Inbox, along with the shared frameworks the rest of the app is built on. You’ll work across the Android stack, with chances to dig into our shared Rust layer and the AI tools we use for mobile development. Along the way, you’ll pair with experienced product and mobile AI engineers to find what slows the team down, try new Android capabilities, and help decide what ships in the app. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Ship the core Notion experience on Android: Build and polish the surfaces people use every day—opening and reading pages, writing and editing, navigating the app, and the Home, Search, and Inbox tabs—on a native Kotlin and Jetpack Compose stack that is fast to open, smooth to scroll, and dependable offline. - Build with product and design, and iterate fast: Partner with product managers and designers to turn ideas into shipped features, then use feedback and data to make them better. Use AI coding tools and agents to build, test, and investigate faster, while you stay accountable for review, validation, and quality. - By the end of your first year, own a core product area: Take a core part of the Android app, like Home, Inbox, or a piece of the editor, from idea to launch, and shape it into an experience that helps people do their life’s work from their phone. - Make the app feel fast and reliable: Find and fix issues in startup time, scrolling, typing latency, crashes, and memory use across the surfaces you own, and add the tests and monitoring that catch regressions before users do.   SKILLS YOU'LL NEED TO BRING - Solid Android fundamentals: You’ve built and shipped Android apps, through work, internships, or your own projects, and you’re comfortable with modern Android—Kotlin, Jetpack Compose, Coroutines/Flow, and Gradle. Experience with a large, modular codebase is a plus. - Care for native UI and performance: You enjoy making UI feel fast and smooth, and you’re curious about things like custom text rendering, complex lazy lists, or rich-text editing. Experience with performance profiling, realtime collaboration, or offline sync is a plus. - Product instincts: You care about how the app feels to use, not just how it works. You sweat the details of interactions and polish, and you use feedback and data to decide what to build next. - Thoughtful problem-solving and clear communication: You build a clear picture of the problem before jumping to a fix, you can explain trade-offs in writing, and you ask for help early when you’re stuck. Experience moving a hybrid or web-based surface to native, or building something from 0→1, is a plus. - AI-native, end-to-end engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective. Web experience (TypeScript, React, Node) is welcome but not required. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $168,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THIS JOB We're looking for a Head of Marketing Strategy & Operations to run the business side of marketing. Our marketing team went from two people to 25 this year, organized around four functions: product marketing, brand and consumer, enterprise, and growth. This is the first operations hire on that team. You'll own the marketing budget with Finance, run our planning cycle and operating cadence, keep hiring aligned with the plan, and partner directly with the CMO on how marketing sets priorities and tells its story to the executive team and the board. It's a role for someone who has sat close to a CMO and a CFO, likes turning ambiguity into a plan people can execute, and is comfortable building the function themselves before building a team. WHAT YOU'LL DO: Budget & Financial Operations - Own the marketing budget end to end with Finance: allocation across teams and channels, tracking against plan, forecasting, variance flags, and the tradeoff conversations that follow - Build the layer of visibility leadership needs (spend by team, channel, and program) on top of the spend-tracking tools we already have, so decisions get made with numbers - Run quarterly, half-year, and annual budget planning, and make marketing's case to Finance and the executive team - Own marketing's vendor and agency contracts end to end: evaluations, procurement, renewals, and a clear view of what we pay for and why Planning & Operating Cadence - Own marketing's planning cycle: translate company goals into marketing objectives, OKRs, and resourced plans, and keep them current as priorities shift - Bring a point of view. Pressure-test plans, frame the tradeoffs, and help the CMO decide where marketing places its bets - Design the lightweight processes and internal tools (planning, intake, reporting) that let a 25-person team operate like a much bigger one - Run the operating rhythm for the marketing leadership team: meetings, all-hands, team-wide readouts, agendas, decisions, and follow-through - Keep the marketing functions connected so plans, launches, and budgets move together Executive Partnership - Partner directly with the CMO on board materials, executive readouts, and strategy documents. Own first drafts and make them data-backed and on-message - Extend the CMO's reach across the team: surface risks early, chase decisions to closure, and keep priorities clear week to week - Represent marketing in cross-functional planning with Finance, Sales, and Product Hiring & Org Operations - Partner with Talent Acquisition and marketing leads on headcount planning, requisition tracking, and interview process, and keep hiring plans aligned with budget and org design - Standardize the basics across sub-teams (job descriptions, interview loops, scorecards) and help new leaders land well WHAT WE'RE LOOKING FOR: - 10+ years in marketing strategy and operations, business operations, strategic finance, management consulting, or a similar role supporting a CMO, GM, or business unit leader - You've owned a sizable marketing or departmental budget end to end and can talk about spend, forecast, and variance the way Finance does - You've built or run a planning cycle (annual or half-year, OKRs) and an operating cadence for a leadership team - You've drafted board or executive materials for a senior leader and know the difference between a readout and a narrative - Experience with headcount planning and hiring operations alongside a Talent team - You've run vendor evaluations and procurement alongside Finance and kept a clean view of contracts and renewals - Comfortable as an individual contributor. This is the first ops hire; you'll do the work before you have a team - You scope light and move fast. We plan in weeks, not quarters, and you build just enough process to keep a fast team aligned - You build trust quickly, from individual contributors to the C-suite - Bonus: you're comfortable building your own tools with AI. We use Replit to run Replit This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.   Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. Helix is our flagship Ad-Network team of around 60 top-tier engineers and data scientists spanning backend, mobile SDKs, data engineering, infrastructure, and AI. Helix has evolved beyond powering Voodoo's own gaming portfolio—our technology is now directly integrated into games from external, third-party publishers worldwide. Operating across millions of third-party devices in real-time bidding environments creates unique technical challenges around SDK performance, ultra-low latency, and intelligent automation. Within Helix, you’ll join the AdExperience squad—a focused team of Senior Product Managers, QA/Release Engineers, and five exceptional Senior Engineers specialized in backend and mobile SDK development. Together, you will push the boundaries of iOS SDK architecture and champion modern, agentic AI workflows to set new industry standards. ROLE We’re looking for a visionary and talented Senior iOS Engineer to join our dynamic, passionate, and committed to excellence team at the forefront of advertising technology! As a Senior iOS Engineer, you will drive the development of cutting-edge SDKs, influencing the experience of millions of users across diverse devices. A pivotal member of our engineering team, you will help shape the direction of our iOS technical efforts while serving as a high-impact, hands-on individual contributor. - Technical Vision & Code Standards: Guide the technical direction for our iOS projects. Drive innovation, establish architectural best practices, and ensure the highest standards of code craftsmanship across our codebase. - AI Usage & Agentic Workflows: Raise the bar in AI adoption across the team—actively integrating agentic workflows, LLMs, and AI-driven automation tools to solve complex challenges and elevate developer productivity. - Code Excellence: Craft robust, maintainable, and high-performance code that sets industry benchmarks as a senior hands-on individual contributor. - Collaborative Code Reviews: Actively participate in thorough code reviews, fostering a culture of continuous technical improvement and knowledge sharing within the engineering team. - Architectural Decisions: Make critical decisions regarding the architecture and technical stack of our iOS SDKs and applications to ensure long-term stability and scalability. - Quality Assurance: Guarantee the enduring quality and reliability of our iOS projects through rigorous testing, performance profiling, and continuous integration practices. PROFILE - 6/7+ years of experience in mobile software development. - 5 years minimum in Swift. - Strong proficiency and proactive mindset towards leveraging AI technologies (e.g., agentic AI, LLMs, AI coding assistants) to enhance software development efficiency and code quality. - Excellent problem-solving, critical thinking, and communication skills. - Demonstrated ability to make critical technical decisions independently. - Extensive experience in writing robust, maintainable, and high-performance Swift code. - Writing efficient unit tests, integration tests, and UI tests. - In-depth knowledge of iOS development tools, frameworks (SwiftUI, Combine, and CoreData), and best practices (MVVM, Protocols, Delegates). - Excellent level of spoken English. NICE TO HAVE - Previous experience in the AdTech industry or in mobile ads integration. - Experience with SDK development and a deep understanding of the challenges and opportunities in this space. - Experience in Objective-C, Kotlin, Node. - Practical experience setting up or customizing AI developer agents and automated AI workflows. - Experience in optimizing App performance, reducing memory footprint, and decreasing package size. - Experience in deploying iOS frameworks on CocoaPods. - Experience in deploying iOS applications with CircleCI and Fastlane. - Working knowledge of remote APIs, concurrency, layouts, transitions, animations. OUR STACK ⧫ Xcode ⧫ Swift ⧫ Objective-C ⧫ SwiftUI ⧫ Combine ⧫ CoreData ⧫ GitHub ⧫ CocoaPods ⧫ CircleCI ⧫ AWS ⧫ AI Coding Tools & Agentic Workflows BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible. WHAT YOU'LL DO This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases. You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows. - Own the roadmap for a core area of the LangSmith platform. - Work with customers to understand their challenges and define new product features. - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly. - Help shape product strategy alongside our founders and leadership team. WHAT YOU'LL BRING - 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms. - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues. - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront. - Strong written and verbal communicator who can align cross-functional teams around a shared vision. NICE TO HAVE - Computer Science, Engineering, or equivalent technical background. - Previous experience at a high-growth startup or developer-focused company. - Hands-on experience building with LLMs, agents, or AI applications. - Annual salary range: $180,000-$240,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Paris Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. You'll join the Portfolio Games Team (PGT) within Live: a small, tech-first and AI-first team that manages and grows a catalogue of 40+ live mobile games played by millions of users worldwide, with many more titles being onboarded. We own the full lifecycle, from game health monitoring and A/B testing to ASO, release management and live operations. To do this at portfolio scale we are building Sophia, our in-house AI agent that already manages games, runs A/B tests and automates store work across dozens of games. Our goal is simple: take humans out of the repetitive loop so the team can focus on making the product better. ROLE We are looking for a freelance Technical Artist to bridge art and engineering in an AI-first studio. Our development side already moves fast with Sophia; art production is now the bottleneck. Your mission is to set up the conventions, tools and pipelines that let AI generate, check and integrate 2D and 3D assets across our portfolio with minimal human intervention. By Q1 2027 we want Sophia running full art and 3D flows end to end, and you will be key to getting there. You will work day to day with our dev lead and the engineer who owns our AI/Figma/Unity art workflows, and with the art team. - Define art conventions and standards (naming, structure, layout rules for UI, banners and store assets) so that assets can be produced and validated automatically, not hand-polished one by one - Build tools and scripts in art software (Maya, plus Photoshop/Illustrator where useful) that check and fix assets automatically, e.g. validating that 3D meshes are watertight, within poly budgets and correctly set up, so an AI agent can run them as part of a pipeline - Optimise 3D models and meshes (topology, polygon count, UVs, LODs) and textures (compression, sizes, atlases) for mobile, without sacrificing visual quality - Own the Unity import pipeline: import settings, asset post-processors and automation so assets land in our games correctly and consistently - Integrate AI generation tools (image, 3D, animation) into production workflows and evaluate new ones as they appear - Help scale animated assets (e.g. animated store banners and promo visuals) across many games through templates and automation rather than manual work - Debug and fix graphical and performance issues across mobile devices; support shaders, VFX and particles where needed - Document everything so the pipelines keep running and improving after setup PROFILE - 5+ years as a Technical Artist, ideally in mobile games - Hands-on experience using AI in art production (e.g. Scenario, Flux, 3D generation tools, ComfyUI or similar), and a mindset of automating rather than perfecting by hand - Strong understanding of 3D models and meshes and how to optimise them; you don't need to be a 3D modeller, but you know what makes a mesh production-ready - Strong Unity skills: asset import and optimisation, C# scripting for editor tools; Shader Graph/HLSL, VFX and particles are a plus - Experience building tooling for art software, in particular Maya (Python and/or MEL) - Solid grounding in Photoshop and Illustrator: the "art" in technical art matters to us - Good understanding of mobile constraints (performance, memory, draw calls, batching) - Autonomous, pragmatic and deadline-driven: you know when an asset is good enough and move on - Fluent written and spoken English NICE TO HAVE - Python scripting outside art tools (pipelines, batch processing, APIs) - Experience with AI coding tools (Claude Code, Cursor, Codex) and LLM-based agents - Figma, and experience with UI/store assets for mobile games (ASO) - Substance or similar texturing tools; GPU profiling

Задачи: — участие в проекте по обучению AI-моделей; — разработка и обучение моделей, системы инференса, численные вычисления, оптимизация производительности; — программирование на Python; — создание, решение, проверка и валидация сложных задач в области ML Engineering; — реализация или модификация ML-модели; — создание воспроизводимого процесса обучения или инференса; — оптимизация использования памяти или производительности; — поиск и исправление численных или системных ошибок; — проверка соответствия реализации требованиям по корректности и производительности. Требования: — опыт использования coding agents с Python в рабочем процессе; — степень магистра или PhD; — уровень английского языка C1. Условия: — 15 часов в неделю; — полностью удалённая работа (Global); — гибкий график, специалист самостоятельно выбирает дни и часы работы, включая выходные при желании; — оплата $80–$150 в час.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios Work with cloud providers on the hardware and platform features that our workloads depend on Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications Software engineering experience in Linux systems programming, kernel development, or another low-level area Strong programming skills in at least one systems language such as Rust, C, C++, or Go Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management Experience profiling and debugging performance issues at the system level Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications Experience building or operating a multi-tenant sandbox, serverless, or code execution platform Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code Experience with eBPF and kernel tracing tools Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) Experience with network isolation, high-performance networking, or building egress proxies and policy layers Experience with sandboxes for AI agents, computer use, or reinforcement learning environments Experience with GPU virtualization, accelerators, or performance work on machine learning workloads Prior experience as a technical lead or mentor Representative projects Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools Designing a network egress policy layer so agents can reach approved services without exposing secrets Running many thousands of parallel reinforcement learning environments with strong isolation between them Building tracing tools that attribute latency and resource use inside a running sandbox Reducing per-sandbox memory overhead to raise density on each host Hardening the runtime against escape attempts found in internal red-team exercises The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Определять и реализовывать стратегию DevOps и платформенной инженерии, согласовывая дорожную карту платформы с приоритетами компании, продукта и инженерии. — Руководить, наставлять и развивать команду через найм, управление эффективностью, карьерное развитие и планирование преемственности. — Устанавливать четкую ответственность, инженерные стандарты, операционные процессы и управление, формируя культуру ответственности, автоматизации, надежности, безопасности и постоянного улучшения. — Отвечать за архитектуру и эксплуатацию облачной инфраструктуры, Kubernetes, сетей, хранения и общих платформенных сервисов, улучшая масштабируемость, устойчивость, стандартизацию и простоту эксплуатации. — Применять инфраструктуру как код, политику как код, принципы автоматизации и контролируемых изменений, контролировать планирование емкости, оптимизацию затрат, выбор технологий и стратегические отношения с поставщиками. — Внедрять Cursor AI и агентскую автоматизацию в процессы обеспечения, CI/CD, релизной инженерии, наблюдаемости, устранения неполадок, планирования емкости и оптимизации затрат. — Создавать контролируемые механизмы самовосстановления, которые обнаруживают аномалии, определяют вероятные причины, выполняют утвержденные исправления, проверяют восстановление и учатся на результатах. — Обеспечивать инфраструктуру самообслуживания, возможности развертывания, повторно используемые инструменты, подготовленные пути и рабочие процессы с поддержкой AI, измеряя агентов по безопасности, точности, стоимости, аудиту, успеху исправлений и снижению ручного труда. — Определять и обеспечивать стандарты надежности, наблюдаемости и безопасности для инфраструктуры, CI/CD и платформенных сервисов, включая SLIs, SLOs, бюджеты ошибок, тестирование устойчивости, управление инцидентами, контроль доступа, секреты, шифрование, управление уязвимостями и безопасность цепочки поставок ПО. — Сотрудничать с командами продукта, инженерии, безопасности, комплаенса и IT для установления ограничений платформы, контроля рисков, аудиторских доказательств и границ ответственности, а также представлять показатели платформы, риски, потребности в инвестициях и прогресс на исполнительных встречах. Требования: — Опыт 10+ лет в DevOps, платформенной инженерии, инфраструктурной инженерии или SRE, включая сильный опыт эксплуатации облачной инфраструктуры, Kubernetes, инфраструктуры как кода, распределенных систем и высокодоступных сред. — Опыт 5+ лет руководства платформенными или DevOps-командами и внедрения практик инженерии с поддержкой AI в технической организации. — Продвинутый практический опыт использования Cursor Agent, Cursor CLI и Cloud Agents для проектирования, реализации, тестирования, обзора и документирования инфраструктуры, платформенных сервисов, операционных инструментов и автоматизации. — Опыт использования Cursor AI с Terraform, Kubernetes manifests, policy-as-code, управлением конфигурациями и платформенными репозиториями при соблюдении требований тестирования, рецензирования и контролируемых изменений. — Интеграция Cursor CLI или Cloud Agents в CI/CD рабочие процессы для обзора кода, генерации тестов, проверки конфигураций, проверок безопасности, документации, рефакторинга и устранения сбоев пайплайна. — Умение использовать Cursor AI для анализа телеметрии и операционного кода, улучшения инструкций, расследования инцидентов, генерации исправлений и разработки контролируемых механизмов самовосстановления с проверкой и откатом. — Навыки наставничества инженеров в эффективных рабочих процессах с Cursor и измерения внедрения по времени доставки, уровню сбоев изменений, покрытию автоматизации, операционному труду, качеству исправлений и удовлетворенности разработчиков. — Степень бакалавра в области компьютерных наук, инженерии, информационных технологий или смежной области либо эквивалентный практический опыт. Условия: — Полная занятость — Удалённый формат работы (UK, Poland, Bulgaria, UAE — Dubai, Portugal)

Location: United Kingdom (Hybrid) Workplace: Hybrid Most money apps talk at you. Cleo talks back ✨ We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process 💰 For everyone, whatever their background or balance. The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money. We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in. Follow us on LinkedIn https://www.linkedin.com/company/cleo-ai/ for new features and the occasional roast 🔥 MEET THE TEAM 👥 Here at Cleo we have ~35 Product Managers owning and running Squads across our Pillars. Product Management defines what Cleo builds and why it matters. From setting direction to prioritising what ships, Product ensures we’re solving the right problems for our users and the business. As we scale, this shifts from “managing a roadmap” to “shaping the long-term vision and impact of Cleo’s products.” ✨ ABOUT THE ROLE ✍️ We’re hiring a Senior Product Manager to own Cleo’s payment rails and money-movement roadmap - how customers bring money in, move it across Cleo products, and access it when they need it. You’ll define the future of direct deposit, internal transfers, and intelligent funding orchestration, working closely with Engineering, Risk, Compliance, and our banking and card partners. Key responsibilities - Own the roadmap for how customers move money into, around, and out of Cleo - direct deposit top-ups, internal transfers (card, EWA, secured credit card, Wealth products), and outbound movement. - Build deep fluency in US payment rails (ACH, FedNow, card network rails) and the interchange/cost structure underneath them; represent Cleo in shaping partner roadmaps with the likes of Marqeta and Mastercard. - Partner with banking and processing partners (e.g., TabaPay-type partners, partner banks) to orchestrate money movement - this is not a "we are the platform" role; it's about working fluently across multiple partners and rails. - Develop a point of view on stablecoin and crypto as a future rail for moving money in and out of Cleo, and bring that thinking into the roadmap. - Contribute to the intelligent funding orchestration vision - determining at the point of a transaction what funding source (EWA, BNPL, savings, checking) best serves the customer, with consent, and executing that agentically. - Set and communicate a clear narrative for why payment rails and money movement matter - this space is not well understood internally, and you'll need to make the case repeatedly to stakeholders who don't have payments backgrounds. - Maintain flawless execution and attention to detail on cash inflow/outflow while also building the longer-term vision. WHAT WE'RE LOOKING FOR 🕵️ Must-have - Deep, hands-on US payment rails experience (ACH, card networks, interchange economics) - recent and substantial, not adjacent. - Experience working across multiple payment partners/rails rather than as "the platform" itself - e.g., time at a card program, neobank, or fintech that works with partner banks and processors. - Comfort owning ambiguity and setting vision where none has been defined yet. - Strong narrative/storytelling ability paired with flawless execution. Nice-to-have - Fluency in crypto/stablecoin as a payment rail, with a point of view on where the industry is heading. - International payment rails exposure (e.g., UK), given Cleo's card expansion - explicitly lower priority than US rails depth. WHAT WE OFFER We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements. For the full breakdown on what's available in your location, visit our Candidate Hub https://meetcleo.notion.site/Cleo-Candidate-Hub-3b95c63b874580e9a068fdc6c8929ebf 👈 WHAT MATTERS Cleo's mission is to change the world's relationship with money. We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits. We're glad to make reasonable adjustments at any stage of the process. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Principal Product Marketing Manager, Competitive, you own GitLab's competitive point of view on AI and agentic software development and serve as the authority on our market differentiation. You consult regularly with sales, product teams, investor relations, industry analysts, and leadership on competitive strategy and roadmap implications while publishing external thought leadership. With deep experience in the modern SDLC and agentic tooling, you collaborate with developer advocacy and conduct primary market analysis to drive positioning, field assets, competitive plays, and partnership strategy. In your first year, you will establish a defensible AI and agentic narrative and an agile operating rhythm that turns market signals into action. Reporting to the Senior Director, Product & Solutions Marketing, you will operate with executive visibility and autonomy, measuring success by win rates, competitive displacements, and market leadership in the AI and agentic category. Some examples of projects: Define GitLab's differentiated position against AI-native entrants competing for the SDLC Publish thought leadership that shapes how the market frames agentic development Assess new entrants and share relevant market-shaping insights across the company Shape partnership strategy based on competitive footing Arm executives with competitive narrative for customer and board conversations What you'll do Own GitLab's competitive positioning for AI and agentic software development end to end, from primary landscape analysis through understanding of competitive tools and developer-level perceptions. And turn that into the narrative the field, analysts, and executives all use Own the operating rhythm that converts competitive signal into a position and action within days Give Product an opinionated read on what competitive movement means for roadmap sequencing, bringing evidence and a recommendation rather than a summary of what competitors shipped Build the compete assets, plays, and objection handling the field uses against named competitors, define the sales motion that moves win rate, then measure whether it did Partner with Growth and Campaigns on competitor displacement campaigns, accountable for their contribution to pipeline Brief Investor Relations, industry analysts, sales, and executive leadership with the same rigor, owning the competitive-landscape narrative with analysts and PMMs Raise the competitive bar across the PMM team Ability to travel if needed and comply with the company's travel policy What you'll bring Proven impact at the organizational and industry level Deep domain expertise in SDLC, DevSecOps, and agentic software development to engage technical buyers and executive audiences Track record of driving competitive positioning that delivers measurable win-rate impact Fluency in the AI/agentic coding landscape and competitor exposure areas Established thought leadership with industry recognition (speaking, publications, advisory roles) Experience briefing executives, investor relations, and industry analysts Ability to form and articulate a clear point of view quickly despite incomplete information Strong communication skills to translate complex technical concepts into clear narratives Practical experience using AI tools within your workflow Self-directed, data-driven mindset using win/loss insights to guide strategy About the team Product & Technical Marketing at GitLab is the engine behind how GitLab positions, launches, documents, and evangelizes its value proposition for enterprises worldwide. We connect GitLab's product capabilities to customers and prospects across technical personas and executive buyers, and we partner closely with Product Management, Product Design, Growth Marketing, Comms and Social, Field Enablement, Sales, and the broader go-to-market organization so what we build lands in market with clarity, impact, and relevance. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: UAE - Dubai Workplace: onsite 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Your mission As Data & Analytics Lead, your mission is to turn complex business and product questions into reliable, actionable answers. You will combine AI, data analytics, data engineering, and deep DeFi expertise to build a more intelligent and scalable approach to decision-making. You will use AI not just to accelerate existing analytics, but to rethink how we explore data, test hypotheses, identify patterns, and make insights accessible across the organization. You will be highly hands-on, with expert-level Dune capabilities and a strong understanding of DEXes, DEX aggregators, on-chain data, liquidity, routing, and market dynamics. What you’ll do Shape and build a self-service data and AI platform that enables teams to ask better questions, find better answers, and make better decisions. Create intuitive ways for teams to explore trusted data using AI, natural language, dashboards, and other analytical interfaces. Build AI-enabled workflows and agents that accelerate analysis, uncover insights, and reduce repetitive analytical work, ensuring AI-generated answers are grounded in trusted data, transparent, and verifiable. Turn complex and ambiguous business and product questions into structured analyses, clear insights, and actionable answers. Develop metrics and analytical frameworks that connect user behavior, product performance, on-chain activity, market dynamics, and business outcomes. Proactively identify trends, anomalies, opportunities, and risks, and establish standards for analytical quality, metrics, dashboards, and decision support. Design and evolve data architecture, models, pipelines, and transformations, integrating on-chain and off-chain data into reliable, scalable, and reusable data products. Ensure data is accurate, well-structured, documented, discoverable, and accessible to people and AI systems, with strong standards for quality, observability, maintainability, and performance. Use Dune at an expert level to investigate DEX aggregators, DEXes, swaps, liquidity, routing, users, protocols, and markets, building reusable on-chain datasets and analytical models. Combine blockchain, product, and business data to create a comprehensive view of users, ecosystem activity, and market dynamics, and continuously explore new data sources and analytical approaches. Who you are Deep understanding of DeFi and blockchain data, particularly DEXes and DEX aggregators, including swaps, liquidity, routing, transactions, events, traces, and smart-contract interactions. Expert-level Dune skills, with advanced SQL proficiency and demonstrated experience building sophisticated on-chain queries, datasets, dashboards, and analyses. Strong AI-native way of working, with advanced hands-on experience using Cursor to accelerate analytics and engineering, automate workflows, and build AI-enabled data solutions. Strong proficiency in Python for data analysis, data processing, automation, and AI-enabled workflows. Hands-on experience building and operating modern data platforms with ClickHouse and Airflow, including data modeling, pipelines, transformations, data quality, and observability. Proven ability to turn ambiguous business and product questions into structured hypotheses, robust analyses, and clear, actionable answers. Nice to haves Experience working directly within a DEX, DEX aggregator, DeFi protocol, or other data-intensive Web3 product. Experience working with raw multi-chain blockchain data, including decoding contracts, events, traces, and transactions. Experience applying statistical methods, experimentation, forecasting, or anomaly detection to product and business questions. A strong public track record in the DeFi data ecosystem, such as high-quality Dune dashboards, research, open-source contributions, or community analytics.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a VP of AI Transformation will be responsible for defining and executing Humanoid's enterprise-wide AI transformation strategy. This leader will establish the vision, operating model, governance framework, and execution roadmap required to enable AI adoption across all business functions. Working closely with the CEO, Executive Leadership Team, Business Transformation, IT, Engineering, and functional leaders, you will drive Humanoid's evolution into an AI-native company. You will lead the AI Transformation Office and oversee a cross-functional team, including AI Leads across Engineering, Business Operations, Back Office Functions, and Executive Operations. You will ensure that every AI initiative delivers measurable business value while maintaining the highest standards of security, compliance, governance, and operational excellence. This is a highly strategic leadership role with significant influence over the future operating model of the company. WHAT YOU'LL DO: AI Transformation Strategy - Define and execute Humanoid's enterprise AI transformation vision and roadmap. - Develop a company-wide AI strategy aligned with business objectives and growth plans. - Establish priorities, investment frameworks, and governance structures for AI initiatives. - Advise executive leadership on emerging AI opportunities, risks, and market developments. - Build an AI-first culture focused on innovation, productivity, and continuous improvement. - Drive the adoption of AI agents, intelligent automation, and AI-enabled workflows across the organization. AI Operating Model & Continuous Improvement - Own and evolve Humanoid's AI-Powered Continuous Improvement Flywheel. - Establish transformation governance, operating cadences, reporting mechanisms, and executive review forums. - Embed AI initiatives into business planning, capability maturity assessments, and operational reviews. - Identify, prioritize, and scale high-impact AI use cases across all functions. - Ensure successful pilots are translated into enterprise-wide capabilities. - Drive the development of AI-native ways of working across the organization. Enterprise AI Governance - Establish policies, standards, and controls for responsible AI deployment. - Define governance frameworks covering: - AI ethics and responsible AI - Security and cyber risk management - Data governance and privacy - Human-in-the-loop controls - Model evaluation and monitoring - Compliance and audit readiness - AI vendor and platform governance - Ensure all AI solutions align with corporate, legal, and regulatory requirements. Organizational Transformation & Change Management - Lead enterprise-wide AI adoption and change management programs. - Build AI literacy across leadership teams and employee populations. - Establish AI Champions networks and communities of practice. - Drive workforce enablement and behavioral change initiatives. - Foster a culture where AI augments human capabilities, accelerates decision-making, and improves productivity. Business Impact & Value Realization - Define KPIs and success metrics for AI transformation initiatives. - Measure and report: - Automation maturity - Productivity improvements - ROI of AI initiatives - User adoption - Quality and accuracy outcomes - Cost efficiencies - Operational performance improvements - Present transformation progress, outcomes, and strategic recommendations to the Executive Leadership Team and Board. Cross-Functional Leadership - Lead and mentor AI Leads and transformation teams across the business. - Partner closely with: - CEO and Executive Leadership Team - Business Transformation - Engineering - IT - Finance - HR - Supply Chain - Compliance - Cybersecurity - Align AI initiatives across functions to avoid duplication and maximize business impact. - Promote collaboration between technical and business teams. Innovation & External Ecosystem - Continuously evaluate emerging AI technologies, platforms, and market developments. - Build relationships with AI vendors, research institutions, industry partners, and startups. - Identify opportunities to create competitive advantage through AI. - Benchmark Humanoid against leading AI-native organizations and establish best practices. WHAT WE'RE LOOKING FOR - 10+ years of experience in business transformation, digital transformation, enterprise technology, AI strategy, or AI leadership roles. - Proven track record leading large-scale organizational transformation programs. - Deep understanding of artificial intelligence, machine learning, generative AI, agentic AI systems, automation, and enterprise AI platforms. - Experience designing enterprise operating models, governance frameworks, and transformation programs. - Strong understanding of business process transformation and continuous improvement methodologies. - Experience leading cross-functional initiatives involving business, technology, and operations teams. - Exceptional executive communication and stakeholder management skills. - Strong analytical, strategic, and systems-thinking capabilities. - Demonstrated ability to translate emerging technologies into measurable business outcomes. - Experience building AI adoption programs at enterprise scale. Nice to have: - Experience building AI Centers of Excellence (CoE) or enterprise AI programs. - Experience deploying AI agents and intelligent automation solutions at scale. - Background in robotics, advanced manufacturing, industrial automation, or deep-tech organizations. - Familiarity with Lean, Six Sigma, capability maturity frameworks, and operational excellence methodologies. - Experience with enterprise knowledge management and AI-driven decision support systems. - MBA or advanced degree in Engineering, Computer Science, Business, or a related field.   WHAT SUCCESS LOOKS LIKE: Within your first 12 months, you will have: - Established Humanoid's AI Transformation Office and governance framework. - Embedded AI maturity assessments into business capability reviews. - Delivered multiple AI initiatives with measurable business impact. - Built and operationalized an AI-first operating model across engineering and business functions. - Increased automation maturity across critical value streams. - Improved productivity through AI-enabled workflows and intelligent automation. - Created a sustainable AI adoption culture supported by governance, training, and continuous improvement. - Positioned Humanoid as one of the world's leading AI-native robotics companies. WHAT WE OFFER   - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), separate sick leave, and paid bank holidays and company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Build the iOS platform that helps engineers ship confidently. As Notion’s mobile team grows, we’re turning the first generation of mobile foundations into a durable platform: clearer architecture, ergonomic testing, dependable observability, and faster CI/CD. This role is broad—you’ll shape the iOS stack end to end, from shared frameworks and build systems to release quality, with opportunities to work across our shared Rust layer and AI infrastructure for mobile development. You’ll pair with mobile AI and core product engineers to understand friction, evaluate new iOS capabilities, and decide what should become part of the platform. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Make the iOS platform agent-ready: Give engineers and agents dependable ways to build, run, test, screenshot, and iterate through the app so mobile teams can move faster without lowering the quality bar. - By the end of your first year, define how iOS features are built: establish architecture and ship developer tools, then partner with product engineers to adopt them. - Raise the bar for iOS reliability and release quality: Improve the systems that catch regressions, prevent incidents, and help engineers understand issues quickly across builds, tests, observability, and CI/CD.   SKILLS YOU'LL NEED TO BRING - Deep iOS engineering experience at scale: You’ve helped build and deploy mobile applications used by millions, and understand the reliability, performance, and operational practices required at that scale. - Platform or infrastructure experience: You’ve worked below the product-feature layer on mobile CI/CD, testing platforms, build systems, developer tooling, or shared frameworks—and can turn recurring friction into durable systems. - Strong architectural judgment: You’re familiar with multiple approaches to iOS architecture and can explain the trade-offs clearly, choosing patterns that make features easier to build, test, and maintain. - Cross-functional influence: You can partner closely with product engineers, understand their pain points, and earn adoption for new platform APIs, workflows, and standards without relying on authority. - AI-native engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $168,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Решать сложную исследовательскую задачу на стыке probabilistic ML, sequential decision making и моделирования поведения агентов. — Моделировать поведение участников в стохастической многоагентной среде с частичной наблюдаемостью и использовать эти прогнозы для принятия решений в условиях неопределённости и ограниченного inference budget. — Проводить эксперименты и доказывать, почему новый подход лучше сильного baseline. Требования: — Опыт самостоятельной разработки или существенного улучшения ML/математических методов. — Умение работать с неопределённостью. — Опыт в одном или нескольких направлениях: RL / sequential decision making / POMDP / world models; probabilistic & Bayesian ML, latent-variable models, uncertainty estimation; behavior / opponent modeling, multi-agent systems; off-policy evaluation, importance sampling, doubly robust estimation, variance reduction; Monte Carlo / Markov models / stochastic optimization; algorithmic trading / HFT / pricing / decision systems с реальными ограничениями на latency. — Сильная математическая база, опыт собственных R&D-разработок и публикации либо сильный applied research опыт. — PhD будет плюсом, но не обязателен. — Важна способность подробно разбирать свой проект: проблема → baseline → ваша идея → альтернативы → эксперимент → измеримый результат. Условия: — Формат работы: remote. — Контракт от 3 месяцев. — Приоритетно full-time, но возможен part-time для сильных кандидатов. — Данные и вычислительная инфраструктура предоставлены, высокая исследовательская свобода. Стек для прототипирования: Python, PyTorch.

Задачи: — Возглавить техническое развитие NLP в AI-продукте с большими языковыми моделями в production. — Оптимизировать скорость, стоимость и стабильность inference больших LLM. — Работать с distributed inference на multi-GPU / multi-node инфраструктуре (32×H200 + AWS). — Заниматься training и post-training LLM, развитием agent architectures. — Оказывать техническое лидерство NLP/CV-команде с перспективой роста до Head of ML. Требования: — Production-опыт оптимизации LLM inference: SGLang / vLLM / TensorRT-LLM. — Опыт работы с distributed inference/training больших моделей: MoE, tensor/expert/pipeline parallelism, multi-node GPU. — Знания KV cache, attention kernels, batching, quantization, GPU profiling. — Опыт training/fine-tuning и post-training: RLHF, DPO или аналоги. — Уверенное владение PyTorch и Transformers. — Английский язык на уровне B2 и выше. Условия: — Около 70% времени hands-on engineering, без Project/People Management. — Работа удалённая. — Сильная команда и высокое вознаграждение.

Firebird is an international online travel company organizing trips to Europe for customers worldwide. The software development department focuses on internal products including several mobile apps: Rail Ninja (rail ticket booking), Firebird (online trip builder), Agora (partner app), and a hotel booking service. Responsibilities: — Work closely with back-end team for API integration. — Collaborate with front-end team to deliver high-quality code. — Participate actively in React Native development. — Conduct code reviews and apply best practices. — Collaborate with product managers, designers, BAs, and stakeholders. — Troubleshoot and resolve technical issues. Requirements: — Bachelor's degree in Computer Science, Engineering, or related field. — Strong experience in mobile app development focusing on React Native. — Proven team lead or supervisory experience. — Excellent communication and collaboration skills. — Strong problem-solving and adaptability in dynamic environments. — Familiarity with Agile methodologies and software development best practices. Technical Skills: — Proficiency in React, JavaScript, TypeScript. — Deep understanding and hands-on experience with React Native lifecycle, state management, navigation, rendering. — Solid knowledge of API integration, HTTP protocol, REST API, WebSockets. — Experience publishing apps to App Store and Google Play. — Experience with state management libraries (Redux, Redux-Saga, MobX). — Experience with mobile data storage libraries (MMKV). — Ability to style apps, build responsive interfaces for various devices. — Confident with Git, IDEs, debugging tools; understanding Git Flow. — Experience in testing, performance optimization, memory leak detection. — Understanding of architectural patterns. — Experience coding with AI agents (Claude Code, Cursor, Codex). Conditions: — Full-time remote position. — Salary up to $4500 gross per month based on interview results. Contact for application: olga.z@firebirdtours.com

Задачи: — Разработка production-ready AI, LLM и agent-based решений. — Управление полным циклом разработки AI: архитектура, реализация, тестирование, деплой и эксплуатация. — Интеграция компонентов на базе LLM с детерминированной логикой, Context Engineering и Harness Engineering. — Разработка Tool Calling Loops и подключение API, backend-сервисов и корпоративного ПО. Требования: — Минимум 3 года опыта создания и поддержки production AI приложений на базе LLM. — Не менее 3 лет практического опыта в Agentic Engineering, включая дизайн, реализацию, интеграцию, деплой и поддержку AI агентов. — Опыт разработки Tool Calling Loops и интеграции с API и backend. — Опыт интеграции LLM-компонентов с Context Engineering и Harness Engineering (минимум 1 год). — Знание MCP и корпоративных AI интеграций. — Опыт с RAG-решениями и разработкой LLM приложений. — Умение управлять полным циклом AI разработки. — Отличные коммуникативные навыки для взаимодействия с командами и бизнес-стейкхолдерами. — Наличие минимум 2 проектов с подтверждённым опытом коммуникации со стейкхолдерами. Дополнительные преимущества: — Знания в области AI governance, безопасности, комплаенса и защиты данных. — Опыт работы с инструментами мониторинга AI, такими как Langfuse, Arize и аналогичными. — Опыт с корпоративными AI экосистемами, AI шлюзами, управлением жизненным циклом prompt и governance моделей. — Понимание дизайна мультиагентных систем и оркестрации агентов. — Более 2 лет опыта с RAG и MCP серверами. — Знакомство с AWS и AWS Kiro. — Опыт внедрения AI guardrails и мер безопасности. — Знание CI/CD и практик автоматизированного тестирования. Условия: — Контракт до 31 декабря 2029 года с возможностью продления. — Полная занятость. — Полностью удалённая работа в пределах ЕС. — Требуемый уровень английского C1. — Старт как можно скорее.