Вакансии

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why Kimchi? Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any LLM you pick. Kimchi Studio Studio is where your team's agents work together: a desktop app that brings autonomous coding agents, model orchestration, and your entire toolchain into one collaborative UI. Multiple agents on separate branches side by side with native git worktree support. Every agent action visible, diffable, and undoable. Local first on your machine, remote sessions when you need them. You'll own features end to end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. You might be a fit if… You've personally driven a complex product feature from idea to shipped, and you can tell that story with receipts. You're a full-stack engineer: TypeScript where the product lives (Electron/React UI, Node services) and Go where the backend lives. Strong in one, ready to go deep in the other, and honest about which is which. You have deep debugging and performance instincts: when the app janks or a query slows down, you find the cause through query profiles and flame graphs. You care about UX, speed, and polish. In a desktop app every millisecond is visible, and you push back when something feels wrong. Bonus: shipping Electron apps at scale (updates, code signing, multi-platform builds), Kubernetes internals, or building your own AI workflows and harnesses at home. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Portuguese Brazilian speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Portuguese Brazilian speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Portuguese Brazilian , and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Portuguese Brazilian and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Arabic speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Arabic speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Arabic, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Arabic and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Romanian speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Romanian speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Romanian, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Romanian and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Russian speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Russian speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Russian, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Russian and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Turkish speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Turkish speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Turkish, and your judgment shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Turkish and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Задачи: — разработка и обучение ML-моделей, систем инференса, численных вычислений, оптимизация производительности и 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; — разработка и проверка ML-моделей, training pipelines, inference-систем и вспомогательной инфраструктуры; — реализация компонентов моделей, data pipelines, систем оценки и численных методов; — создание воспроизводимых программных процессов с использованием Python и инструментов командной строки. Требования: — степень магистра или PhD; — опыт использования coding agents с Python в рабочем процессе; — уровень английского языка C1. Условия: — 15 часов в неделю; — оплата $80–$150 в час; — полностью удалённая работа с гибким графиком, специалист самостоятельно выбирает дни и часы работы, включая выходные при желании.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE SECURITY PLATFORM TEAM The Infrastructure Security team provides and supports the primitives that enable engineering to securely build applications and meet compliance obligations, while abstracting away the underlying complexity for the best possible developer experience. Our work centers on workload identity and authorization: how internal applications authenticate to each other and to the services they depend on, and how that access is granted and enforced. We're replacing static secrets with short-lived identity credentials, bringing identity-based authentication to the services engineers use every day, and unifying how authorization is managed across the company. We're a platform engineering team with a security mission. We measure success by the security outcomes we enable and by how much engineers enjoy building on what we ship — the secure path should be the easiest path. WHO WE'RE LOOKING FOR - A platform builder. You love building infrastructure that other engineers rely on every day, and you sweat the developer experience details that make adoption effortless. - Fluent in service-to-service auth. You know authentication and authorization deeply: JWTs, X.509 certificates, and when to reach for each. - A systems thinker. You reason carefully about bootstrapping, circular dependencies, availability, and failure modes, especially for infrastructure that everything else depends on. - A pragmatic migrator. You know that shipping the primitive is half the job. You can drive adoption across many teams, meet them where they are, and retire the legacy path. - A strong partner to engineering. You build trust with engineers by understanding their priorities and making security frictionless. - Excited about AI. You're embracing AI and automation to scale platform work and reduce toil. - Curious and humble. You ask the basic questions, enjoy untangling complex systems, and bring others along with you. RESPONSIBILITIES - Build workload identity infrastructure. Make short-lived identity credentials a default part of every application's runtime environment, in partnership with application platform owners. - Bring identity-based authentication to internal services. Work with the owners of major internal dependencies to support identity certificates, make them the golden path for newly onboarding applications, and drive migration of existing ones. - Eliminate static secrets. Replace all static passwords and service tokens with short-lived identity credentials, and build identity-authenticated egress proxies and API abstractions that inject and automatically rotate managed secrets for the external dependencies that still require them. - Unify authorization. Build a single interface and framework through which authorization policies are centrally managed and enforced. QUALIFICATIONS - 5+ years of experience in software engineering, with a focus on security-related platform, infrastructure, or distributed systems. - Strong working knowledge of secrets management, fine-grained authorization, and workload identity systems. - Familiarity with the Kubernetes ecosystem and authentication/authorization technologies such as JWTs, X.509 certificates, PKI, cert-manager, SPIFFE/SPIRE, and OPA. - Experience building and operating production infrastructure that other teams depend on, with attention to availability and failure modes. - Proven ability to drive cross-team adoption of platform capabilities or lead large-scale migrations. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the Security team The Security team at WorkOS is responsible for keeping the data and identities of hundreds of millions of users secure. Security is fundamental to our products, and customer trust is the foundation of our success. We are a highly collaborative group with a strong engineering mindset. Our security program is shaped by hands-on experience attacking and defending systems, and applying lessons from across the industry. We embrace the latest advancements in practices and tooling that make modern security teams effective. We are comfortable in code and collaborate often with engineering to create products that are secure by default. Who we’re looking for - Risk-focused and pragmatic. You excel at identifying and reasoning about security risk in real-world contexts. You prioritize ruthlessly, always asking: what's the most effective way to reduce risk right now and in the long term? - A builder who can break things. You're comfortable reading and writing code, and you have a passion for deeply understanding the products you secure. You think like an attacker to find subtle, high impact vulnerabilities and like a defender to design pragmatic, effective mitigations. - A strong partner to engineering. You build trust with engineers by understanding their priorities, making security frictionless, and finding ways to make the secure path, the easiest path. - Excited about AI. You're embracing AI and automation to scale security and reduce toil. - Curious and humble. You ask the basic questions, enjoy untangling complex systems, and bring others along with you. Responsibilities - Lead secure design efforts. Partner with engineering teams on secure design and code reviews. Identify and prioritize risks early in the product lifecycle. - Build secure by default systems. Develop paved paths that systemically reduce risk and make secure development the easiest path for engineers. - Perform offensive security testing. Conduct penetration tests and code audits on new and existing products from an adversarial lens. - Improve our security tooling. Integrate and improve our static analysis, supply chain security, and vulnerability management capabilities across engineering pipelines. - Operate our responsible disclosure program. Run and improve our program by furthering automation, validating submissions, and coordinating remediation. - Improve our products. Write and ship code to remediate vulnerabilities in production systems and improve the security posture of WorkOS products. - Work directly with customers. Help build our customers' trust by directly engaging with their security-related questions and concerns. Qualifications - 5+ years of experience in a security engineering or security-focused software engineering role. - Ability to execute across a wide range of security functions such as security assessments, penetration testing, responsible disclosure, security tooling integration, etc. - Familiarity with and experience using common industry tooling. - Proven ability to identify vulnerabilities in software, demonstrated through CVEs, bug bounty, blog posts, or prior work experience. - Strong written and verbal communication skills, particularly in partnering with engineering teams. - Comfortable reading and writing code, and able to effectively leverage AI during the process. - Bonus: Experience in the authentication and identity domain. - Bonus: Experience writing production level code, especially developing security features. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States- Janesville, Wisconsin Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: Oversees the integrity of inventory and restocking of items in inventory. Processes repairs for stock; puts away stock; timestamps repair parts; pulls parts; delivers component parts to technicians for repairs. Controls inventory and material from vendors keeping within established department budget; proposes changes to stock levels and reorder levels for effective inventory management; analyzes inventory records. Processes requisitions; monitors stock levels and parts; enters order and stocking data in tracking program; receives purchase orders and stocks items; checks on status of orders expedites late material orders. Maintains cross-reference system for optimal usage; tracks and updates nonconforming parts. Works closely with department managers/supervisors to assure areas stay within budget. Assist with inventory problem resolution; oversees the integrity of inventory and resolves discrepancies; participates in semi-annual physical inventory; works with Accounting and auditors to assure accuracy.  Controls inventory and material from vendors keeping within established department budget. Participates in available training devoted to purchasing professionalism and to acquire supervisory and management skills. Sources and evaluates vendors who can supply plant level services Oversees the follow-up of past due orders and performs activities to reduce POE and invoice grief. Establishes and maintains an aggressive cost reduction program, reporting results to department management. Assists Customer Service agents and Operations personnel with system parts transactions. Places claim with OEM’s to replace defective parts under warranty. Participates in Service/Quality Initiative; continually improves processes; quantitatively monitors processes.  Completes required quality core classes and uses skills and techniques presented.  Uses the Core Values in work environment.  Adheres to company/customer safety procedures. Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: Associate's degree (A. A.) or equivalent from two-year college or technical school; or equivalent combination of education and experience. Ability to read and comprehend simple instructions, short correspondence, and memos; write simple correspondence; effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization; add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals; compute rate, ratio, and percent and to draw and interpret bar graphs; apply common sense understanding to carry out instructions furnished in written, oral, or diagram form; deal with problems involving several concrete variables in standardized situations. Desirable KSAs: Must be a team player, organized, self-motivated and able to prioritize. Must have outstanding people and communication skills to interact with other team members, customers, and management. Competencies: Personal Discipline Communications Customer Focus Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear.  The employee is occasionally required to sit.  The employee must occasionally lift and/or move more than 50 pounds.  The employee is regularly required to use close vision and color vision.  The employee is occasionally exposed to outside weather conditions and risk of electrical shock.  Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Transparancy $17 — $21 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: Atlanta, GA (Hybrid) The Position CallRail is looking for a Senior Product Manager to own one of our most important integration domains — either our ad platform integrations (Google Ads, Microsoft Advertising, Meta) or our CRM integrations (Salesforce, HubSpot, and the vertical systems our customers run their businesses on). These integrations are where CallRail's data becomes real value for customers: closing the loop between a phone call and the ad that drove it, or pushing conversation intelligence into the system a sales team actually works in. You'll lead the strategy for your domain and own that surface end to end, and partner with the other integrations PM on the shared patterns — data sync, authentication, webhooks, and third-party APIs — so the portfolio stays coherent. Your integrations are also the foundation other teams build on — including Voice Assist , where what our AI agents can do for a customer depends directly on what your integrations can read and write. We're looking for someone who is genuinely AI-fluent — both in how they work and in what they build. The integration landscape is changing fast: platforms are exposing agent-accessible interfaces, customers expect setup and mapping to be intelligent rather than manual, and the PMs who move fastest are the ones using AI as a daily tool rather than a talking point. You don't need to be an ML engineer. You do need to reach for AI first and have opinions about where it helps and where it doesn't. This role suits a self-motivated PM who thrives at both setting product direction and rolling up their sleeves to deliver results with engineering. What You'll Do Own your integration domain Define and own some of our largest core integrations, aligning them with business goals, customer needs, and strategic partnerships. Take the integrations customers already depend on past MVP — fill functional gaps, expand data coverage, and make them genuinely good rather than merely connected. Own how customers experience your domain: how they discover, connect, configure, and troubleshoot the integrations you're responsible for. Lead discovery with customers, partners, and internal teams to validate problems before scoping solutions. Lead the strategy Lead the product strategy for your integration domain — synthesizing input from Partnerships, business strategy, and customer signal into a clear point of view, and driving alignment on it across the org. Partner with the other integrations PM on the shared design patterns every integration inherits — data sync, authentication, webhooks, and third-party APIs — and make sure the next integration is cheaper to build than the last. Stay current with partner platform roadmaps and the shifting privacy and measurement landscape, and bring a point of view on what it means for our customers. Bring AI into the product Identify where AI meaningfully improves the integration experience — intelligent field mapping, automated setup and diagnostics, enriched data pushed into partner systems, self-healing syncs — and build the case for what's worth investing in. Shape how CallRail's integration data is consumed by AI agents and assistants, as customers increasingly expect their systems to be queryable and actionable by AI rather than only by humans. Know the difference between an AI feature that holds up in production and one that demos well, and be willing to say so. Prioritize and measure Monitor success metrics, product health, and user feedback, and use them to continuously refine your domain. Make the call on sequencing net-new work against fixes and migrations, and be able to explain that call to anyone who asks. Keep the unglamorous half of integration work — bugs, migrations, reliability — visible and scheduled rather than invisible and endless. Cross-functional Partner with other product teams whose features depend on your integrations — most often Voice Assist , where the quality of a CRM or scheduling integration directly determines what our AI agents can actually do for a customer. Treat your domain as a platform other teams build on, and sequence your roadmap accordingly. Work closely with Product Design on the integration experience — setup and authentication flows, field mapping, error and reconnection states — where most of the design difficulty is in making genuinely complex configuration feel simple. Write clear, actionable epics, user stories, and acceptance criteria with real technical context and edge cases identified up front. Partner with Marketing, Sales, and Customer Experience on launches, enablement, and adoption of new integrations. Close the loop with Support — turn ticket patterns into prioritized work, and give them answers and workarounds in the meantime. Represent the integrations domain in planning cycles, executive updates, and cross-functional initiatives. What You'll Need 5+ years of product management experience , with 2+ years focused on integrations, partner ecosystems, or platform-oriented work. Demonstrated AI fluency in your day-to-day practice. You use AI tools to accelerate research synthesis, competitive analysis, spec drafting, data exploration, and prototyping — and you can speak specifically about what you've changed in how you work, not just which tools you've tried. A track record of shipping B2B SaaS integrations end to end—CRMs, ad platforms, marketing automation, analytics, or communication tools. Martech experience is preferred. Strong technical fluency. You read API documentation comfortably, reason about data models and auth flows, and scope edge cases with engineers without needing a translator. Deep API design experience isn't required, but you need to know this territory well enough to make good calls about rate limits, sync behavior, and failure modes. Proven ability to manage complex product surfaces across partner APIs, webhooks, OAuth, and data syncing. Experience building product surfaces that other product teams depend on — negotiating roadmaps with peer PMs, making commitments you can keep, and saying no in a way that keeps the relationship intact. Ability to prioritize clearly across business goals, customer needs, and technical feasibility, and to explain your reasoning to both engineers and executives. Comfort working directly with Support, Sales, and Marketing — turning their signal into prioritized work and keeping them informed without being asked twice. Experience in Agile teams working closely with engineers and designers. We flex to optimize how the team works best together. Excellent written and verbal communication skills. Integration decisions live or die by how well they're documented. Familiarity with tools we use: Jira, Confluence, Miro, Looker, Fullstory, Figma. Nice to Have Hands-on experience with ad platform measurement — offline conversion imports, value-based bidding, consent and privacy changes, and how signal loss affects attribution. Hands-on experience with CRM data models and lifecycle — lead and contact objects, custom fields, activity logging, and the realities of syncing into a customer's existing workflow. Experience shipping an AI-powered feature to production and owning its quality, cost, and evaluation over time. Experience with MCP, agent frameworks, or designing APIs intended for AI consumption. Experience in marketing tech, communications tools, or call tracking ecosystems. Background working with public APIs and/or developer experience tools. Working With AI at CallRail AI is core to how our product team operates, and we expect it to be core to how you operate. We use Claude across discovery, spec writing, data analysis, prototyping, and internal tooling, and we're actively building AI capabilities into the product itself. In this role you will: Use AI daily as a working tool — clustering support tickets to find the real bug patterns, drafting and pressure-testing specs, exploring integration data, and building throwaway scripts and prototypes to answer questions faster than a meeting could. Build your own leverage rather than waiting for it — writing Claude skills, agents, and internal workflows that make you and your team faster. Think about CallRail's platform as something AI agents will consume, not just humans. MCP servers, agent-friendly API design, and tool-calling patterns are increasingly part of what a modern integrations platform is expected to offer, and you'll help shape our point of view there. Stay genuinely current. The tooling changes every few months, and we want someone curious enough to keep up and pragmatic enough to know when a new tool actually helps. We're looking for evidence that you've already changed how you work because of these tools — not just enthusiasm about them. If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

Location: London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering 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. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. 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: London Workplace: Hybrid Employment type: Fixed-term contract ABOUT OPENAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence (AGI) benefits all of humanity. We push the boundaries of AI capabilities while prioritising safety, responsible use, and human needs. Our mission requires a team that represents a diversity of perspectives, voices, and experiences. ABOUT THE TEAM Like every team at OpenAI, the Marketing team contributes directly to our mission of responsible and widespread AI adoption. The EMEA B2B Marketing team translates global priorities into regionally relevant programmes that drive awareness, consideration, pipeline, adoption, and long-term customer trust. We partner closely with Sales and GTM, Product Marketing, Developer Marketing and Relations, Field and Executive Marketing, Content, Customer Marketing, Partner Marketing, Comms, Creative, Media, Marketing Operations, and regional leadership. ABOUT THE ROLE We are hiring an FTC B2B Influencer Marketing Lead, EMEA to build and scale OpenAI’s influencer marketing capability across knowledge workers (KW), business decision-makers (BDMs), and developer audiences. You will own the strategy and hands-on delivery across multiple European markets (working closely with in-market comms & marketing team), with the UK, France, and Germany as the first priorities. You will develop local creator networks, translate regional and global priorities into market-relevant programmes, and build a portfolio that balances sustained creator relationships with high-impact moments around products, campaigns, and events. This is a zero-to-one builder role as much as an ecosystem and operating-model role. You will create the capability from the ground up: building on the early foundations we have in place, you will be responsible for defining the strategy, securing internal alignment, building the creator and agency network, establishing the operating model, and proving what works before scaling it. You will work with existing agencies, identify and onboard new specialist partners where we have capability or market gaps, partner with PHD to amplify the strongest influencer content, and create the goals, processes, reporting, and success measures needed to run the programme with speed, quality, and accountability. You will partner closely with the B2C influencer lead to define and evolve the measurement framework. IN THIS ROLE, YOU WILL - Own the EMEA B2B influencer marketing strategy across KW, BDM, and developer audiences, setting clear audience, market, channel, investment, and outcome priorities. - Build a credible bench of developer creators, technical educators, open-source voices, AI builders, and community leaders across Europe, and design programmes that genuinely help developers learn, evaluate, and build. - Develop differentiated creator plans for the UK, France, and Germany, balancing regional consistency with local language, culture, platform behaviour, regulation, and audience expectations. - Source, evaluate, and build durable relationships with creators who have genuine authority with our priority audiences. Own outreach, briefing, negotiation, contracting, content development, activation, and relationship management. - Design curated creator programmes and high-value experiences that deepen relationships over time—such as briefings, product access, learning sessions, roundtables, community moments, and co-created formats—turning the strongest creators into long-term strategic partners rather than one-off campaign participants. - Build an always-on creator portfolio alongside launch, event, and campaign activations, choosing the right mix of tutorials, product demonstrations, thought leadership, executive content, social posts, newsletters, podcasts, video, and community formats. - Work with existing influencer and marketing agencies to raise the quality and pace of delivery. Identify capability gaps and lead the selection, onboarding, and management of new specialist agencies, including developer-native and market-specific partners. - Partner closely with our media agency to build paid amplification strategies for high-performing creator content, including audience targeting, usage rights, creator whitelisting where appropriate, testing, optimisation, and clear organic-versus-paid performance readouts. - Partner with our Performance Marketing and Growth teams to develop bespoke influencer content that drives measurable performance and business growth. - Operationalise the end-to-end influencer process across intake, creator discovery, due diligence, brand-safety review, scopes of work, contracting, approvals, disclosure and compliance, content calendars, asset management, localisation, paid rights, and post-campaign learning. - Set programme and campaign goals upfront. Build a measurement framework that connects creator activity to meaningful audience and business outcomes rather than relying on vanity metrics. - Define and report a balanced scorecard by audience and objective, including qualified reach, audience relevance, engagement quality, content completion and saves, traffic, product education, developer activation, adoption signals, and pipeline influence where measurement is appropriate. - Establish regular reporting and performance reviews with clear recommendations on which creators, formats, platforms, markets, and investments to scale, improve, or stop. - Manage budgets, agency scopes, creator fees, usage rights, and production investment, making disciplined trade-offs and improving efficiency over time. - Partner with Product Marketing, Developer Marketing and Relations, Comms, Creative, Legal, Privacy, Brand, Media, regional marketers, and GTM teams to ensure content is technically accurate, locally relevant, compliant, and useful to the audience. - Bring creator and community insight back into OpenAI, helping teams understand emerging voices, platform shifts, audience questions, content opportunities, and risks across the European influencer ecosystem. WHAT SUCCESS LOOKS LIKE - OpenAI has a strong, trusted network of B2B and developer creators across Europe, with meaningful depth in the UK, France, and Germany. - Priority creators progress from individual activations into sustained, mutually valuable partnerships, supported by curated programmes and experiences that increase trust, product understanding, and advocacy over time. - Developer influencer marketing becomes a repeatable growth and education channel, supported by a healthy pipeline of credible creators and technically valuable content. - Teams and agencies use a clear, efficient operating model with defined ownership, faster approvals, strong compliance, reusable tools, and fewer one-off processes. - Organic creator programmes and PHD-led paid amplification work as one system, with transparent performance, learning, and investment decisions. - Leadership has a reliable view of goals, spend, creator health, market coverage, results, and the programme’s contribution to audience and business outcomes. YOU MIGHT THRIVE IN THIS ROLE IF YOU - Have 8+ years of experience in influencer marketing, creator partnerships, B2B content, developer marketing, or an adjacent discipline, including substantial ownership of influencer programmes. - Are deeply plugged into the European creator economy and bring an existing network of relevant creators, agents, managers, platforms, and specialist agencies—particularly in technology, AI, SaaS, developer tools, or adjacent categories. - Have a proven track record of building influencer programmes for developer or highly technical audiences. You understand the difference between broad technology reach and genuine developer credibility. - Have taken an influencer or creator programme from zero to one, moving from an ambiguous brief to a working strategy, partner ecosystem, operating model, measurement framework, and repeatable programme. - Have built curated creator programmes and experiences that develop long-term strategic partnerships, with evidence that sustained relationship-building improved content quality, creator loyalty, audience trust, or business impact. - Can also develop effective creator strategies for knowledge workers and business decision-makers, matching the creator, message, format, and platform to the audience and commercial objective. - Have operated across multiple European markets and understand how to adapt strategy and execution for the UK, France, and Germany. Fluent English is required; French and/or German is a strong advantage. - Have directly managed agencies and creator partners, including selection, onboarding, briefing, negotiation, contracting, production, usage rights, paid amplification, and performance management. - Understand the mechanics and economics of organic and paid creator distribution, and can partner effectively with a media agency to turn strong content into scaled, measurable campaigns. - Are analytically strong and comfortable setting goals, designing measurement approaches, reading performance data, and making clear recommendations when attribution is imperfect. - Combine strong editorial and technical judgement with operational rigour. You can protect creator authenticity while maintaining accuracy, brand safety, compliance, and message integrity. - Are both strategic and hands-on: comfortable setting the direction, building the system, finding the creator, improving the brief, resolving an approval issue, and getting the programme live. - Build trust quickly across creators, agencies, marketers, technical teams, and senior stakeholders, and communicate clearly when priorities, evidence, or trade-offs are contested. - Are energised by AI and motivated to help developers, businesses, and knowledge workers across Europe understand and adopt transformative technology responsibly. WORKPLACE & LOCATION This fixed-term role is based in London with three days per week in the office. Regular travel across Europe, particularly to France and Germany, will be required.

Location: EMEA; European Union Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role Kimchi is building products at the frontier of how engineering organizations adopt and operate AI — across AI coding and agents, inference, model orchestration, governance, and the infrastructure that makes all of it work reliably at scale. This is a highly dynamic space. Customer expectations, technology capabilities, competitors, and even the problems worth solving are changing quickly. That means we’re looking for a Senior Product Manager who is exceptionally good at working before the problem is well defined. You won’t inherit a neat backlog of customer requirements and execute against it. You’ll be expected to explore emerging problem spaces, talk to customers, understand technology shifts, connect weak signals, form hypotheses, and decide which problems are important enough for Kimchi to solve. A large part of the job is turning ambiguity into clarity while operating in a dynamic greenfield environment. You’ll work closely with engineering, design, customers, and GTM to take promising opportunities from an initial insight through validation, 0→1 product development, adoption, and iteration. What we're looking for: Significant experience owning software products end-to-end, with the judgment and independence expected from a Senior Product Manager. Strong 0→1 experience. You have personally taken products or significant product areas from an unclear opportunity through discovery, validation, launch, and iteration. A track record of navigating ambiguity. You can give examples where neither the problem nor the solution was obvious at the beginning and explain how you created clarity. Excellent problem selection and product judgment. You don’t just solve problems well; you are deliberate about deciding which problems are worth solving in the first place. Experience working in greenfield, rapidly changing, or emerging domains where information is incomplete and plans frequently need to change. Strong customer discovery skills. You can go beyond what customers ask for and uncover the underlying problem, context, and behavior. Strong analytical thinking. You are comfortable combining qualitative evidence, product data, market signals, and technical constraints to make decisions. Strong written and verbal communication. You can simplify complex topics without oversimplifying the underlying problem. Experience working closely with highly technical engineering teams and enough technical curiosity to understand the systems you are building. A bias toward experimentation and learning rather than large upfront plans. Comfort making decisions with imperfect information and changing your mind when new evidence emerges. Hands-on use of modern AI tools in your own work. You should be actively exploring how LLMs and agents change both the products we build and the way product work itself gets done. What would make you stand out: You don’t need to check every box, but we’d be especially interested if you have experience with one or more of: Developer tools or products built for software engineers AI/ML products, LLM infrastructure, AI agents, or AI-powered developer tools Infrastructure, platforms, APIs, or technically complex B2B products Products where the primary challenge was discovering product-market fit rather than optimizing an established product Early-stage startups or new product initiatives inside larger companies Enterprise products where you have had direct access to customers during discovery and product development Responsibilities: Identify problems worth solving. Explore customer needs, usage data, technology shifts, competitive products, and market signals to determine where Kimchi should invest. Turn ambiguity into product direction. Take broad or poorly understood opportunities and structure them into clear problems, hypotheses, assumptions, and experiments. Lead 0→1 product development. Move from an insight or hypothesis to a real product that customers can use, learn from, and ultimately depend on. Validate before scaling. Find the fastest way to test whether a problem matters and whether our proposed solution creates meaningful value. Be equally comfortable investing further or killing an idea when the evidence says we should. Make hard prioritization decisions. There will always be more interesting opportunities than we can pursue. You’ll decide what deserves attention now, what can wait, and what we should deliberately not build. Work directly with customers. Run discovery, observe workflows, understand underlying motivations and constraints, and distinguish individual requests from broader problems. Partner deeply with engineering and design. Shape solutions collaboratively. Understand enough of the technology to explore possibilities and trade-offs with strong technical teams. Define what success means. Establish the customer and business outcomes we expect, determine how to measure them, and use evidence to guide subsequent decisions. Drive adoption, not just launches. Stay accountable after something ships. Understand whether customers are discovering it, using it repeatedly, getting value from it, and why. Communicate clearly. Write concise product narratives, one-pagers, PRDs, and decision documents that make complex problems understandable and align teams around what matters and why. We are a distributed team, so exceptional writing skills are essential for every member. Help shape Kimchi itself. This is still a rapidly evolving product and organization. You’ll influence not only individual features, but how we think about the product, our customers, and the market. What’s in it for you? Competitive salary Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. Rain operates around the world and services global businesses and platforms with embedded financial products and services. We work with some of the biggest businesses in the world and serving them means servicing their end users around the world. Getting there usually means expanding our licensing coverage either through direct force projection or through strategic partnerships. Once we’re in a market this work transitions to getting our products and services up and running to ship local products. Market Expansion is a high impact, small, SWAT-like team that owns launching local financial products in each of our target geographies. We like to work in person and we work on every market Rain decides to enter. As part of this team, you will go exotic places, meet exotic people, and build exciting products. The team is, by definition, heavily cross functional requiring team members to work with Product, Legal, Compliance, and Go To Market. We are accountable for the outcome, not for the project plan. The model is deliberately temporary in each market. A launcher deploys into a market, launches the product, hires and hands over to a local GM, and moves to the next one. A market launch is a complex project that runs 3 to 12 months, touches around twelve cross functional capabilities and more than ten internal functions. If you want a clean, independent role inside one function, this is not for you. If you want to be personally accountable for making an impact on one of the fastest growing financial technology companies, keep reading. What you’ll do - Be Global: Spend significant time, in person, in each market you launch. - Be Autonomous: Own a market launch end to end, from the point the entry decision is made to the point the business runs without you. - Operate Across the Company: Work with our legal team to manage the local regulatory and legal processes for licence expansion or transfer where we go direct. - Define and execute the operationalization strategy for each market, meaning the specific decisions about how Rain's technology, team and systems get deployed in the local market. - Identify and solve blockers to quick market launch. - Coordinate and drive a 100 day plan for each market, including the workstream owners, the sequencing, the reporting cadence, and the escalation path when a workstream slips. - Identify and hire the key local roles, usually a country lead and their first two or three hires, and ramp them up / coach them through the first few weeks at their roles. - Detect what is missing before it becomes a problem. Additional licences, gaps and remediations that nobody has scoped. - Own and improve the playbook. You are likely to succeed if you have: - Background: roughly 5 to 7 years of experience in strategy consulting, private equity operations, or an operating role in a regulated fintech or payments business. - Communication skills: you can independently write high-quality formal documents, and represent Rain in high-stakes meetings (e.g., with regulators, investors, partners, customers…). - Business and tech acumen: can work through complexity across different workstreams (e.g., pricing, tech, legal, compliance) identifying what matters in a context full of noise. - Project management experience: you have driven complex projects to completion, particularly when task owners don’t directly report to you. - Practicality and effectiveness: you get things done quickly despite challenges, and are able to deliver a high amount of output when required. - Intellectual curiosity: you are eager to go deep into technical topics, particularly when the response is not obvious. - Desire to travel: you are interested in spending significant time in person in the target markets to launch the product, hire a local team, and solve problems. - Location: you are based in New York or Madrid, or have a willingness to relocate. - Languages: you speak native / fluent English. Bonus attributes: - Direct experience with regulatory approval processes, market expansion, post-merger integration, on either side of the table. - Experience in payments, card issuing, e-money or banking, whether at an operator, a regulator, an adviser or a network. - Having expanded a business into a new geography, including taking a product or a programme live in a new jurisdiction. - Knowledge of the payment / crypto regulatory landscape for payments and digital assets. - Familiarity with stablecoins and how onchain tech interacts with traditional payments. - Additional languages, particularly Spanish, Portuguese, Chinese or Arabic. - Experience building a function from scratch, including hiring the team who came after you. Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

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. This is an opportunity to bring your ideas to life, to create your games, in an enjoyable and benign working environment among gaming lovers. Your games will be published by the worldwide leader in this field. You will get the chance to join a newly created small studio, focusing on creating and testing new hyper casual game prototypes to be published by Voodoo. You will have autonomy, a strong impact on the ideation, and a unique opportunity to reach hundreds of millions of players. You will take an innovative approach to gameplay ideas/features and give them their own spin.  ROLE With this role, you will be core to the company by contributing daily to important decisions with a multidisciplinary team of passionate and talented people. Flesh out the details of a game's design, oversee its testing, and revise the game in response to player feedback. Thanks to your creativity and your teamwork, let’s entertain millions of people with your hit games. Our studios are looking for people who bring their own ideas and are always willing to compromise to move forward. - Support the Art director in the ideation and execution of the game’s vision. - Develop and optimize UX flows of new and existing features. - Create and maintain a comprehensive UI Style Bible and reusable component libraries. - Create high-quality 2D assets (menus, HUDs, buttons, icons, etc) and ensure optimal performance across mobile devices. - Work with Game Designers and the Product Team to ensure UI supports gameplay and accessibility goals. - Iterate quickly based on team feedback and live user data. - Propose creative ideas to boost player engagement and improve the user experience. - Nice to have: experience designing and implementing high-quality, scalable UI systems in Unity. PROFILE - 3–5 years of UI art experience in mobile games - Proficient in Figma and Photoshop - Comfortable handling the implementation of UI and assets into Unity. - Experience building and maintaining UX/UI framework libraries within a game project - Comfortable using AI tools to accelerate prototyping and asset creation - Proactive mindset — able to identify product needs, source references, and drive solutions independently - Strong portfolio showcasing excellent UI art, visual polish, readability, and attention to detail. - Strong understanding of layout, composition, color, typography, visual hierarchy, iconography, and readability. - Ability to work independently in a small team, organize your own work, and move features forward without heavy process. - Nice to have: Experience creating UI animations, transitions, interaction feedback, or other motion design for game interfaces. - Experience working with multiple stakeholders and driving alignment around the visual quality and direction of UI. - Strong collaboration and communication skills. - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work - Passion for mobile games. BENEFITS • Best-in-class compensation • Other benefits according to the country you reside

Location: Munich Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who we're looking for:AI Consultant to help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses.The role is based in Munich, Germany.Key Responsibilities:Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases.Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility.Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails.Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities.Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows.Prepare agent specifications and solution documentation that enable delivery teams to implement successfully.Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption.Support customer presentations and executive discussions around AI strategy.Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices.Required Skills & Competencies:Strong skills in business analysis, process design, value mapping, and discovery.Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations.Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role.Hands-on experience designing or launching AI-powered solutions or AI agents.Experience translating business requirements into solution designs.Experience working with enterprise customers and multiple stakeholders.Excellent executive communication and presentation skills.Strong analytical and systems thinking.Excellent spoken and written German and English.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Remote - US About MariaDB Are you ready to shape the infrastructure for a groundbreaking cloud database platform? MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. MariaDB Cloud is revolutionizing the way businesses manage their data in the cloud. We're on a mission to provide a seamless, powerful, and user-centric Database-as-a-Service (DBaaS) solution that sets new industry standards. MariaDB Cloud is a Multi-cloud Database-as-a-Service platform offering, specializing in managing MariaDB, one of the most popular open-source relational database systems. MariaDB Cloud is more than just a database; it's a comprehensive and innovative platform that delivers continuous availability, autonomous operation, and serverless capabilities. We're redefining the database experience to make it more accessible, intuitive, and efficient than ever before. The Opportunity About the Role We are seeking a Senior Software Engineer to join a small, high-ownership team building robust cloud infrastructure for our globally deployed relational database engine. You will design and implement the application layers, business logic, and API workflows at the intersection of data management, cloud operations, and relational database services—critical components that enterprise applications depend on for correctness, performance, and governance. This is a hands-on, end-to-end role. You will lead features from whiteboard to production: owning implementation, writing clean and scalable code, and leveraging deep expertise in cloud orchestration to ensure robust deployment across multi-cloud environments. Proficiency in Terraform is essential for managing our complex infrastructure and ensuring reproducible deployments. Our team is small by design, offering high individual impact and direct visibility into engineering strategy. The ideal candidate has scaled infrastructure across multiple cloud providers and approaches every challenge with an ownership mindset—shipping production-grade systems that set new industry standards. Key Responsibilities 8+ years of experience in software development with deep expertise in distributed systems and cloud-native architecture. Proven track record of designing and operating multi-cloud infrastructure at scale across AWS, GCP, and Azure. Advanced proficiency in Terraform for Infrastructure as Code (IaC) and complex cloud orchestration. Expertise in containerization and orchestration using Kubernetes and Docker in production-grade environments. Experience building and maintaining robust CI/CD pipelines for automated, scalable deployments. Strong command of Go or Python for developing cloud-native applications, controllers, and automation tooling. BS/MS in Computer Science or a related technical field. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Knowledge of MariaDB server is a plus. Required Qualifications Experience 5+ years of professional software development experience, with at least 2 years focused on data-intensive applications, database-adjacent features, or enterprise software. Demonstrated end-to-end ownership of a non-trivial production feature or module: you have taken something from functional specification through implementation to production. Hands-on production experience deploying, debugging, and managing application services across at least two major public clouds (AWS, Azure, GCP). Experience building or integrating with vector databases, embedding pipelines, semantic search, or retrieval-augmented generation (RAG) systems. Prior work building LLM-based applications or workflows using AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or equivalent). Technical Skills Strong proficiency in Python for AI application development, alongside high proficiency in at least one backend language (such as Go, Java, or C++). Deep, practical application of relational databases: writing complex SQL, structural indexing, query optimization, transactions, and schema design. Experience implementing temporal data models, event-driven tracking, audit logs, or utilizing system-versioned tables. Solid understanding of application security fundamentals: authentication, authorization, RBAC, row-level security, and multi-tenant data isolation at the application layer. Proficiency with modern application monitoring tooling: structured logging, distributed tracing (OpenTelemetry), and functional alerting. Experience designing and implementing REST and/or gRPC APIs used by external consumers or frontend systems. Preferred Qualifications Experience contributing to or maintaining open-source projects in the database, AI/ML application, or agent-tooling ecosystem. Hands-on experience developing MCP servers or integrating A2A (Agent2Agent) protocols into production systems. Familiarity with agent memory frameworks such as Mem0, Graphiti, or Letta. Experience leveraging graph databases or multi-hop graph traversal (Neo4j, Kuzu, FalkorDB, or similar) within applications. Background with in-memory data grids or semantic caching systems (Redis or similar) to optimize AI token usage. Experience packaging applications for on-premises or air-gapped deployment environments, including regulated infrastructure. Knowledge of MariaDB or MySQL application development, system-versioned tables, or temporal SQL. Location & Job Info Full-Time - Remote - US Why Join Us Compensation The annual anticipated U.S. base salary range for this full-time position is $141,000-$185,000. Actual salaries may vary and fall outside of this range depending on factors such as a candidate’s qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than the job description as posted. Salary is one component of MariaDB’s total rewards package.  We provide a competitive benefits package. Additional benefits includes health insurance, life, and disability insurance, funds toward professional development resources, Flexible Paid Time Off (FPTO), paid holidays, 401(k), and parental leave, a massive degree of flexibility and freedom, just to name a few! Salaries for candidates outside the U.S. will vary based on local compensation structures. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB, we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.