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Location: Berat, Albania Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a highly proactive and detail-oriented Senior Project Manager to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities Ensure that project is delivered within scope, by carefully managing scope changes Ensure project is delivered on time and within budget, by carefully managing project schedule and costs Work towards meeting defined Customer Satisfaction criteria to ensure a high customer satisfaction score at the end of the project, therefore positively contributing to Facilization’s Customer NPS. Ensure project deliverables meet the set qualitative criteria In collaboration with Team Leaders, maximize efficiency on resource utilization to positively contribute on Productivity/Profit per Employee (PPE) ratio Bachelor’s Degree in a relevant field (e.g. Computer Science, Business Administration, Finance) or equivalent experience PMP or other project management certifications are a plus Proven experience in project management Experience with project management tools Background in financial or banking sector is an advantage

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.   Processing 2+ million daily interactions between adjoe's reward engine and its global publisher network The Supply Integrations team builds and operates the services that ensure every user reward is calculated, verified, and delivered, whether that means firing a cryptographically signed HTTP callback in milliseconds or transferring loyalty points through a partner's OAuth-secured payment API. Every callback that lands on time is a reward delivered, a publisher retained, and revenue protected. The team's production surface spans a set of services connecting adjoe to a global publisher network. S2S Payout Callbacks deliver real-time reward notifications with 40+ configurable parameters, secured by per-publisher cryptographic signatures. The Payout Adapter integrates directly with enterprise partner payment systems, handling OAuth2 flows, mTLS, HMAC signatures, and retry logic to guarantee delivery. Our External Statistics API aggregates data from Druid, Athena, and DynamoDB into self-serve publisher dashboards and daily reports. All of this is backed by Go microservices communicating over Kafka and SQS, with state managed in DynamoDB and MySQL, processing over 2 million interactions every day without missing a beat. YOUR MISSION & WHO WE ARE LOOKING FOR - Production Golang Systems Expertise: You bring 5+ years of backend development experience, including at least 3 years writing Go in production distributed environments. You will build and maintain our +99% Go microservice architecture—interfacing with our TypeScript/React frontend—to reliably handle 2+ million daily publisher interactions and scale beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming: You have hands-on experience designing asynchronous microservice communication using event buses like Kafka, SQS/SNS, and Kinesis. You will build pipelines to collect billions of daily API events and aggregate them into our data lake for sub-second querying. - High-Scale Data & API Optimization: You understand database internals and low-level web standards (HTTP protocol, Encoding, Regular Expressions). You will optimize queries across hundreds of terabytes of data across DynamoDB, MySQL, Druid, and Athena to reduce API response times and expose transparent, well-documented open APIs to enterprise partners. - Data Science & Algorithmic Integration: You quickly grasp complex technical topics and applied mathematics. You will partner directly with our Data Science team to translate and integrate machine learning algorithms into adjoe’s core application, optimizing real-time ad targeting. - Collaborative Technical Communication: You communicate fluently and precisely in spoken and written English. You will actively participate in peer code reviews and technical knowledge sharing across an international backend engineering team. - Plus: Infrastructure & Cloud Tooling: Hands-on experience with Terraform (Infrastructure as Code), Docker containerization, or serverless infrastructure. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Санкт-Петербург Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег. Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста  * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Будет преимуществом опыт работы в компаниях: Россельхозбанк, Росбанк, Совкомбанк, ГазпромБанк Яндекс, Ozon, Wildberries, Деловые Линии, ВТБ, Альфа-Банк, Тинькофф Банк, МТС, Билайн, Мегафон, Ростелеком. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

Location: Ukraine; Poland; Spain; Portugal; Germany; Romania At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a Staff Architect (Senior Solution Architect) to join us as part of our team. About the project: PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights /Company profiles / Workflow & efficiency / Many more. Our Tech Stack & Focus Areas Java, Spring, React, Typescript, Apache Beam, Flink, LangGraph, GCP/AWS, K8s Work Environment Flexible schedule with participation in team ceremonies and cross-functional collaboration. Time zone: Europe/Kyiv. As a qualified expert, You will: Translate high-level business initiatives into concrete architectural vision and technical standards, collaborating closely with Product and Engineering to design cost-efficient, scalable solutions that maximize customer value Devise technology and architecture solutions that propel engineering excellence across the organization, simplify otherwise complex problems, and address the “-ilities” (portability, usability, maintainability, scalability, recoverability, availability, extensibility, and security) Author AI-ready solution specifications as a part of the design lifecycle, actively participating in AI-enabled workflows and continuously integrating modern tools into the architectural process Drive system evolution toward well-defined target and transition (interim) states, utilizing robust system diagrams to convey clear, actionable execution paths for engineering teams Describe technical context in intuitive ways for different audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with senior stakeholders Drive system innovation by leveraging AI as a core enabler, prototyping high-impact capabilities to prove technical feasibility and steer future-ready architectural directions Learn constantly, including in available cloud managed services (PaaS/SaaS/IaaS), libraries, frameworks and platforms (commercial and open source) Propose pragmatic, organized, and balanced technical decisions in areas such as build vs. buy, now vs. later, and refactor vs. rebuild Provide and oversees high-level estimates for scoping non-trivial feature Coach engineering teams, grow their level constantly and enable them making high-quality autonomous decision in the software design We’re looking for you if you have 7+ years of hands-on software development experience with strong core engineering principles 3+ years of experience in designing complex software architectures for the multi-stack environment (e.g., Java, C#, Python microservices, data analytical systems, AWS/GCP/Azure) Exceptional written and verbal communication skills, acting as a trusted partner to both Product Management and Engineering - capable of articulating technical vision clearly to any audience while actively listening and synthesizing feedback to refine solutions A strong, disciplined approach to architectural decision-making, systematically evaluating technical trade-offs, risks, and technology pros/cons to deliver resilient, cost-effective platform solutions Proven capability to manage stakeholder expectations, build cross-organizational alignment, and articulate technical trade-offs to business and engineering leadership Practical experience designing data solutions across relational databases, distributed caching, replication, and enterprise search engines (e.g., PostgreSQL, MS SQL, Redis, Elasticsearch) Experience architecting on major cloud platforms (e.g., AWS, GCP, or Azure) using containerization and orchestration technologies like Docker and Kubernetes Prior experience in pre-sales, technical discovery, or solution consulting is considered a strong plus Hands-on experience driving AI enablement initiatives and architecting agentic AI systems (e.g., multi-agent frameworks, LLM orchestration) is considered a strong plus English — Upper Intermediate or higher; Ukrainian — fluent. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview Steps: Interview with the recruiter Technical Interview Manager Interview HR BP Interview Final сlient Interview.

Location: Yerevan, Armenia Position Summary We are looking for an experienced Senior Automation QA Engineer to join our Quality Engineering team. In this role, you will be responsible for ensuring the quality, reliability, and performance of our products by designing, developing, and maintaining scalable automation solutions. You will work closely with Software Engineers, Product Managers, and QA Engineers while contributing to automation strategy, quality improvements, and engineering best practices. Responsibilities Develop, maintain, and improve backend automated tests using C#/.NET Develop and maintain frontend automated tests using Playwright (JavaScript/TypeScript) Design and execute automated API, UI, integration, and regression test suites Validate REST APIs, WebSocket services, and database data Design, execute, and maintain performance and load tests using JMeter Create, maintain, and manage test data for automation and testing activities Collaborate closely with Manual QA Engineers and Software Engineers throughout the SDLC Participate in test planning, estimation, test strategy, and test case design Maintain and manage test cases using TestRail Track defects and collaborate with development teams using Jira Utilize AI tools to improve QA processes, productivity, and test automation workflows Create and maintain AI helper agents to support testing activities Continuously improve automation frameworks, testing processes, and quality standards Requirements 3+ years of experience in Automation Quality Assurance Strong understanding of QA processes, SDLC, and STLC Experience working in Agile/Scrum environments Strong analytical, problem-solving, and debugging skills Ability to work independently and collaboratively within cross-functional teams Proficiency in technical English Mentorship experience is considered a plus Technical Skills Strong experience with C#/.NET for backend automation Hands-on experience with Playwright using JavaScript or TypeScript Strong understanding of Object-Oriented Programming (OOP) principles Experience with automation frameworks such as NUnit or MsTest Hands-on experience with REST API and WebSocket automation Strong SQL knowledge, including complex queries, joins, and data validation Experience with JMeter for performance and load testing Experience with API testing tools such as Postman Experience with debugging/proxy tools such as Charles Proxy or Fiddler Good understanding of Git version control Experience with TestRail or similar test management systems Experience with Jira or similar project management tools Experience using AI tools (e.g., ChatGPT, GitHub Copilot, Claude, Gemini) in QA processes Experience creating and utilizing AI helper agents for QA activities

Location: United States, Los Angeles, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment is seeking an experienced and collaborative Regional Security Manager to lead physical security operations across the Americas (AMER) region. Reporting to the Director, Global Security Operations, this role will oversee a team responsible for regional security programs, incident response, crisis support, and operational readiness across SIE offices, studios, and events. The ideal candidate brings strong operational leadership, sound judgment, and the ability to build trusted partnerships across a global organization. This position plays a key role in helping create safe, secure, and resilient environments for employees, visitors, and business operations. What You’ll Do Regional Security Leadership Lead and support a regional team of security professionals across the AMER region. Partner with global security teams to help maintain consistent standards, processes, and operational practices. Contribute to the development and execution of regional security strategies aligned with business priorities. Use metrics and operational insights to evaluate effectiveness and identify opportunities for improvement. Support budget planning, resource management, and vendor oversight within the security function. Physical Security Operations Oversee physical security programs, policies, and procedures across offices and studio locations. Conduct risk assessments and coordinate security reviews to identify and address potential vulnerabilities. Collaborate with internal stakeholders and external partners to strengthen site security and emergency preparedness. Manage third-party security providers to ensure quality service delivery and alignment with organizational expectations. Provide guidance and operational support to regional sites on security best practices and compliance. Incident & Crisis Response Lead or support responses to workplace security incidents and safety-related matters. Partner closely with Workplace, Legal, HR/People, and other teams to support investigations and incident management. Prepare clear documentation, reporting, and recommendations following incidents or security reviews. Support emergency planning activities, tabletop exercises, and preparedness initiatives. Coordinate response efforts during significant incidents impacting employees, facilities, or operations. Event Security Support security planning and operational readiness for PlayStation events, activations, and executive engagements. Conduct event-related risk assessments and coordinate appropriate security measures. Provide on-site leadership and incident management support during key regional events. Collaboration & Communication Build strong partnerships with teams across HR, IT, Workplace, Legal, and other business functions. Communicate regularly with leadership regarding security priorities, risks, and operational updates. Maintain relationships with industry peers, security organizations, and external partners to stay informed on emerging trends and best practices. What We’re Looking For 8+ years of experience in physical security, corporate security operations, investigations, law enforcement, military, intelligence, or a related field. Demonstrated experience managing security initiatives across multiple locations or regions. Strong leadership and people management skills, including coaching and team development. Ability to assess complex situations, make informed decisions, and communicate effectively during incidents. Excellent collaboration and stakeholder management skills across diverse teams and functions. Experience managing vendors, contractors, or third-party security providers. Familiarity with crisis management, emergency response, and event security operations. Flexibility to support occasional evening/weekend work and regional travel as needed. Preferred Qualifications Experience in technology, gaming, entertainment, or other fast-paced global organizations. Industry certifications such as CPP (Certified Protection Professional) or similar credentials. Bachelor’s degree in Criminal Justice, Security Management, Emergency Management, Business, or a related field — or equivalent professional experience. Location: This position can be based in one of our California offices, including San Mateo, San Diego, Aliso Viejo, or Los Angeles. * Hybrid role with an expectation to work in-office on average 2 days per week #LI-GM1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,700 — $226,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sony Interactive Entertainment is seeking an experienced and collaborative Regional Security Manager to lead physical security operations across the Americas (AMER) region. Reporting to the Director, Global Security Operations, this role will oversee a team responsible for regional security programs, incident response, crisis support, and operational readiness across SIE offices, studios, and events. The ideal candidate brings strong operational leadership, sound judgment, and the ability to build trusted partnerships across a global organization. This position plays a key role in helping create safe, secure, and resilient environments for employees, visitors, and business operations. What You’ll Do Regional Security Leadership Lead and support a regional team of security professionals across the AMER region. Partner with global security teams to help maintain consistent standards, processes, and operational practices. Contribute to the development and execution of regional security strategies aligned with business priorities. Use metrics and operational insights to evaluate effectiveness and identify opportunities for improvement. Support budget planning, resource management, and vendor oversight within the security function. Physical Security Operations Oversee physical security programs, policies, and procedures across offices and studio locations. Conduct risk assessments and coordinate security reviews to identify and address potential vulnerabilities. Collaborate with internal stakeholders and external partners to strengthen site security and emergency preparedness. Manage third-party security providers to ensure quality service delivery and alignment with organizational expectations. Provide guidance and operational support to regional sites on security best practices and compliance. Incident & Crisis Response Lead or support responses to workplace security incidents and safety-related matters. Partner closely with Workplace, Legal, HR/People, and other teams to support investigations and incident management. Prepare clear documentation, reporting, and recommendations following incidents or security reviews. Support emergency planning activities, tabletop exercises, and preparedness initiatives. Coordinate response efforts during significant incidents impacting employees, facilities, or operations. Event Security Support security planning and operational readiness for PlayStation events, activations, and executive engagements. Conduct event-related risk assessments and coordinate appropriate security measures. Provide on-site leadership and incident management support during key regional events. Collaboration & Communication Build strong partnerships with teams across HR, IT, Workplace, Legal, and other business functions. Communicate regularly with leadership regarding security priorities, risks, and operational updates. Maintain relationships with industry peers, security organizations, and external partners to stay informed on emerging trends and best practices. What We’re Looking For 8+ years of experience in physical security, corporate security operations, investigations, law enforcement, military, intelligence, or a related field. Demonstrated experience managing security initiatives across multiple locations or regions. Strong leadership and people management skills, including coaching and team development. Ability to assess complex situations, make informed decisions, and communicate effectively during incidents. Excellent collaboration and stakeholder management skills across diverse teams and functions. Experience managing vendors, contractors, or third-party security providers. Familiarity with crisis management, emergency response, and event security operations. Flexibility to support occasional evening/weekend work and regional travel as needed. Preferred Qualifications Experience in technology, gaming, entertainment, or other fast-paced global organizations. Industry certifications such as CPP (Certified Protection Professional) or similar credentials. Bachelor’s degree in Criminal Justice, Security Management, Emergency Management, Business, or a related field — or equivalent professional experience. Location: This position can be based in one of our California offices, including San Mateo, San Diego, Aliso Viejo, or Los Angeles. * Hybrid role with an expectation to work in-office on average 2 days per week #LI-GM1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,700 — $226,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Palo Alto, California, United States 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 model 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 practical 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 inference 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 queuing, 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 for 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 engineers 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 skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including 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. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD 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: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities : Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves : A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice - to - have s : First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD 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: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD 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.

Задачи: — Разработка программного обеспечения для учета торговых транзакций и расчета позиций в инвестиционном фонде. — Работа в команде Middle Office для трансформации бизнес-процессов, предоставление инвестиционным командам точной и своевременной информации о сделках, позициях, прибыли и производительности. — Создание сложных финансовых систем для предоставления данных в реальном времени о производительности и оценке финансовых активов. Требования: — Высшее образование в области компьютерных наук или аналогичной области. — Опыт программирования не менее 8 лет, из них минимум 5 лет на Java (Java Core и многопоточность). — Опыт работы с Kafka и/или другими системами обмена сообщениями в реальном времени. — Опыт с распределенными кэш-технологиями, такими как Memcached, Ignite. — Опыт разработки распределенных, масштабируемых и ресурсоемких приложений. — Экспертные знания SQL и запросов к базам данных. — Сильные аналитические способности, умение самостоятельно изучать код и проводить обратное проектирование. — Умение работать как самостоятельно, так и в кросс-функциональных командах. — Желательно опыт работы с AWS. — Приветствуется опыт или знания в финансовой сфере, включая транзакции, позиции, управление прибылью и производительностью. — Опыт в финансовых услугах обязателен. — Знание Python будет плюсом. Условия: — Гибкий режим работы: удаленно или гибридный. — Возможность работать удаленно из Грузии, Сербии, Испании, Кипра, Армении, Португалии или Польши, либо гибридно в Кракове или Лимассоле. — Медицинская страховка для сотрудников в Польше и на Кипре, а также 50% покрытие страховки для супругов и детей. — 24 дня оплачиваемого отпуска. — 10 дней оплачиваемого больничного. — 50% компенсация расходов на профессиональное обучение, образование и конференции. — Помощь с релокацией в Польшу или на Кипр, включая билеты на самолет, оплату аренды жилья на первый месяц для сотрудника и официальной семьи. — Поддержка в оформлении визы, разрешения на въезд и вида на жительство. Локации: Испания, Грузия, Сербия, Польша, Кипр, Португалия, Армения.

Location: United States Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Singapore; Australia Workplace: Remote About the team The Cloud Scaling team is dedicated to implementing robust capabilities within the ClickHouse cloud environment. We seek exceptional software engineers to develop and maintain the infrastructure to transform ClickHouse into a fully functional serverless database solution. Collaborating closely with the core database team, we are actively working on evolving ClickHouse into a cloud-native database system. Additionally, we engage with other cloud teams to drive continuous improvements in cloud infrastructure for enhanced performance and scalability. What will you do? - Build a cutting-edge cloud-native database platform on top of the public cloud. - Work on our in-house Kubernetes operator to support seamless infrastructure management. - Improve the metrics pipeline and build systems to generate better statistics and recommendations. - Work closely with our ClickHouse core development team and other data plane teams, partnering with them to support infrastructure use cases as well as other internal infrastructure improvements. - Architecting and building a robust, scalable, and highly available distributed infrastructure About you: - 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems. - Production experience with programming languages like Go, C++ or Java - You are not a stranger to PagerDuty On-call, debugging things in production and are a strong problem-solver - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g., EC2). - Experience with Data Storage, Ingestion, and Transformation (Spark, Kafka or similar tools). - You are passionate about solving data problems at Scale. - Experience working with distributed systems - You have excellent communication skills and the ability to work well within and across engineering teams. #LI-Remote   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Участвовать в процессах разработки страховой платформы Impulse, обеспечивающих короткий time-to-market, высокий уровень качества, надежность, безопасность и производительность разрабатываемых решений; — Участвовать в выборе инструментов и технологий разработки с последующим их внедрением. Требования: — Опыт коммерческой разработки на Java от 3 лет; — Опыт работы со стеком: Java 8-17, Spring, Hibernate, PostgreSQL, Apache Kafka, Prometheus, OpenAPI, Swagger, Grafana, Liquibase; — Понимание методологий разработки, принципов ООП и шаблонов проектирования; — Опыт командной работы; — Знание методик Scrum. Условия: — Профессиональное развитие в команде экспертов; — Возможность работать в составе крупной компании, лидере страхового рынка; — Полное соблюдение норм Трудового Кодекса РФ; — Полностью "белая" конкурентная зарплата, премии; — График работы 5/2 (удаленный формат работы) или гибридный график с офисом ст. м. Киевская; — Корпоративные скидки на страховые продукты (авто страхование, ВЗР и т.д.); — Корпоративные скидки на фитнес, магазины-партнёры, книги и др.; — Подключение к ДМС после успешного прохождения испытательного срока; — Электронная библиотека с более чем 3000 книг на самые актуальные темы.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role Vercel is hiring a Senior Integrated Campaigns Manager to architect and lead the global, multi-channel campaigns that drive awareness, adoption, and pipeline for Vercel's platform and developer tools. You will report to the Head of Strategic Events & Integrated Demand Generation and own Vercel's integrated campaign motion. You'll translate product and business priorities into cohesive campaign narratives that resonate with developers, technical decision-makers, and enterprise buyers, then orchestrate the cross-functional machine that brings them to life. Working alongside Product Marketing, Growth, Digital, Field Marketing, Strategic Events, and Sales, you'll unify individual channel efforts into a single integrated motion. Every campaign you run will blend developer-first storytelling with enterprise-grade messaging and span the full funnel from first touch to closed revenue. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Own the end-to-end strategy, planning, and execution of Vercel's global integrated campaigns, from big-idea development through channel activation, measurement, and iteration. Translate product and business priorities into campaign narratives and messaging architectures tailored to distinct audiences: developers, full-stack teams, product leaders, and enterprise buyers. Orchestrate multi-channel programs across paid, owned, and earned channels in partnership with Growth, Digital, and Performance Marketing, ensuring every touchpoint ladders up to a unified story. Partner with Strategic Events and Field Marketing to extend campaigns into trade shows, regional events, and developer meetups to create experiences that reinforce the campaign narrative in person. Align with Sales and BDR leadership so campaigns fuel outbound motions with the right messaging, content, and follow-up plays that convert. Build and maintain the global campaign calendar, managing dependencies, sequencing, and regional alignment across functions and time zones. Define success metrics upfront, then measure, report, and optimize by running structured experiments across creative, messaging, channels, and audience segments. Mentor and guide campaign best practices across the marketing org, raising the bar for how Vercel plans and ships integrated programs. What you need 7+ years of B2B marketing experience, with 3+ years leading integrated or demand generation campaigns — within developer tools, cloud infrastructure or other technical SaaS products. A proven track record of owning global, full-funnel campaigns end to end, with clear pipeline and revenue impact you can point to. Deep understanding of developer audiences and the nuances of marketing technical products without dumbing them down. A strong storyteller who can shape a campaign narrative and hold it consistent across every channel and region. Exceptional program management skills: you can coordinate across regions, time zones, and a dozen stakeholders without dropping threads. Data-fluent, with hands-on experience defining KPIs, building reporting, and using performance data to make optimization calls. Comfortable operating with autonomy in a fast-paced, high-growth environment where priorities evolve quickly. Bonus if you Have marketed directly to developer communities or run technical content programs. Have launched campaigns supporting AI, cloud, or infrastructure products. Have worked in both high-growth startups and large-scale enterprise organizations. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $150,000 - $207,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation. 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: We are seeking passionate, proactive, and results-driven Senior PPC Specialist who is excited to contribute to a fast-growing and innovative company, drive lead generation and brand awareness paid campaigns for Creatio, develop and execute a data-driven growth marketing strategy for our campaigns globally. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated. Team composition: This role sits within the Digital Marketing // PPC Team and reports directly to the Digital Strategist. Responsibilities: Campaign Management & Optimization: Create, manage, and optimize all digital advertising campaigns, including but not limited to Facebook, Instagram, Google, and LinkedIn. Make decisions about optimizing and stopping campaigns, and coordinate these decisions with stakeholders. Strategic Planning: Plan and schedule marketing campaigns across different channels and regions. Collaborate with internal teams to develop and execute campaigns effectively, and provide recommendations on personalization and optimization strategies. Data Analysis & Reporting: Create and deliver reports of KPIs. Measure, monitor, and communicate key metrics, and analyze the effectiveness of campaigns across channels to maximize results and adjust campaign structure when needed. Paid Ads Strategy Development: Identify new approaches and strategies for paid advertising. Coordinate with management on strategy planning and execution, and implement AI-driven insights to improve ROI and campaign efficiency. LLM Ads: Launch and optimize advertising campaigns on ChatGPT and other LLM platforms. Requirements: Proven experience managing LinkedIn, Google Ads, Search Campaigns, Google Display, Microsoft Advertising, Facebook, and other paid media channels. Experience with A/B testing and Google Ads experiments. Strong proficiency in Google Analytics (GA4). Experience in the B2B or software development industry is highly preferred. Ability to launch campaigns from scratch, including pixel implementation and conversion setup. Data-driven analytical mindset with a keen eye for detail and a focus on optimization. Strong collaboration skills with digital, content, and design teams. Strong project management skills to handle multiple campaigns simultaneously, including media planning, budgeting, and financial requests. Proficiency with analytics and optimization tools such as Keyword Planner, plus advanced Excel skills (PivotTables, VLOOKUP, and similar functions). Experience working with CRM systems and the ability to work with large data sets to extract meaningful insights. Hands-on experience in performance analysis and lead generation funnel tracking. Experience in market research, competitor analysis, and user feedback analysis, with a proven ability to plan and execute full-funnel acquisition strategies. Knowledge of managing advertising campaigns on AI platforms such as ChatGPT and other LLMs. Nice to have: Google Tag Manager expertise and experience managing YouTube. What you should 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: Ukraine Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.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:We are seeking passionate, proactive, and results-driven Senior PPC Specialist who is excited to contribute to a fast-growing and innovative company, drive lead generation and brand awareness paid campaigns for Creatio, develop and execute a data-driven growth marketing strategy for our campaigns globally. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table.Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated.The role is based in Ukraine.Team composition:This role sits within the Digital Marketing // PPC Team and reports directly to the Digital Strategist.Responsibilities:Campaign Management & Optimization: Create, manage, and optimize all digital advertising campaigns, including but not limited to Facebook, Instagram, Google, and LinkedIn. Make decisions about optimizing and stopping campaigns, and coordinate these decisions with stakeholders.Strategic Planning: Plan and schedule marketing campaigns across different channels and regions. Collaborate with internal teams to develop and execute campaigns effectively, and provide recommendations on personalization and optimization strategies.Data Analysis & Reporting: Create and deliver reports of KPIs. Measure, monitor, and communicate key metrics, and analyze the effectiveness of campaigns across channels to maximize results and adjust campaign structure when needed.Paid Ads Strategy Development: Identify new approaches and strategies for paid advertising. Coordinate with management on strategy planning and execution, and implement AI-driven insights to improve ROI and campaign efficiency.LLM Ads: Launch and optimize advertising campaigns on ChatGPT and other LLM platforms.Requirements:Proven experience managing LinkedIn, Google Ads, Search Campaigns, Google Display, Microsoft Advertising, Facebook, and other paid media channels. Experience with A/B testing and Google Ads experiments.Strong proficiency in Google Analytics (GA4).Experience in the B2B or software development industry is highly preferred.Ability to launch campaigns from scratch, including pixel implementation and conversion setup.Data-driven analytical mindset with a keen eye for detail and a focus on optimization.Strong collaboration skills with digital, content, and design teams.Strong project management skills to handle multiple campaigns simultaneously, including media planning, budgeting, and financial requests.Proficiency with analytics and optimization tools such as Keyword Planner, plus advanced Excel skills (PivotTables, VLOOKUP, and similar functions).Experience working with CRM systems and the ability to work with large data sets to extract meaningful insights.Hands-on experience in performance analysis and lead generation funnel tracking.Experience in market research, competitor analysis, and user feedback analysis, with a proven ability to plan and execute full-funnel acquisition strategies.Knowledge of managing advertising campaigns on AI platforms such as ChatGPT and other LLMs.Nice to have: Google Tag Manager expertise and experience managing YouTube.What you should 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. Who We’re Looking For: We are seeking passionate, proactive, and results-driven Senior PPC Specialist who is excited to contribute to a fast-growing and innovative company, drive lead generation and brand awareness paid campaigns for Creatio, develop and execute a data-driven growth marketing strategy for our campaigns globally. The ideal candidate is someone who thrives in a dynamic environment, embraces challenges as opportunities, and is motivated to bring fresh ideas to the table. Most importantly, we’re looking for individuals who share our values, believe in collaboration, and want to be part of a workplace where creativity, accountability, and ambition are celebrated. Team composition: This role sits within the Digital Marketing // PPC Team and reports directly to the Digital Strategist. Responsibilities: Campaign Management & Optimization: Create, manage, and optimize all digital advertising campaigns, including but not limited to Facebook, Instagram, Google, and LinkedIn. Make decisions about optimizing and stopping campaigns, and coordinate these decisions with stakeholders. Strategic Planning: Plan and schedule marketing campaigns across different channels and regions. Collaborate with internal teams to develop and execute campaigns effectively, and provide recommendations on personalization and optimization strategies. Data Analysis & Reporting: Create and deliver reports of KPIs. Measure, monitor, and communicate key metrics, and analyze the effectiveness of campaigns across channels to maximize results and adjust campaign structure when needed. Paid Ads Strategy Development: Identify new approaches and strategies for paid advertising. Coordinate with management on strategy planning and execution, and implement AI-driven insights to improve ROI and campaign efficiency. LLM Ads: Launch and optimize advertising campaigns on ChatGPT and other LLM platforms. Requirements: Proven experience managing LinkedIn, Google Ads, Search Campaigns, Google Display, Microsoft Advertising, Facebook, and other paid media channels. Experience with A/B testing and Google Ads experiments. Strong proficiency in Google Analytics (GA4). Experience in the B2B or software development industry is highly preferred. Ability to launch campaigns from scratch, including pixel implementation and conversion setup. Data-driven analytical mindset with a keen eye for detail and a focus on optimization. Strong collaboration skills with digital, content, and design teams. Strong project management skills to handle multiple campaigns simultaneously, including media planning, budgeting, and financial requests. Proficiency with analytics and optimization tools such as Keyword Planner, plus advanced Excel skills (PivotTables, VLOOKUP, and similar functions). Experience working with CRM systems and the ability to work with large data sets to extract meaningful insights. Hands-on experience in performance analysis and lead generation funnel tracking. Experience in market research, competitor analysis, and user feedback analysis, with a proven ability to plan and execute full-funnel acquisition strategies. Knowledge of managing advertising campaigns on AI platforms such as ChatGPT and other LLMs. Nice to have: Google Tag Manager expertise and experience managing YouTube. What you should 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: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams. A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team. What You'll Be Doing Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility Delivering product and technical presentations to potential and existing customers Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape Driving product conversations based on need and problems with customers Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material What Makes you a Great Fit: 5+ years of technical pre-sales experience Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products You love solving technical challenges and thrive on bringing creative solutions to our customers You should have a technical mindset and a desire to grow technically. Must be located in Sweden Bonus Points For: Experience with Open Source technologies, or in the Metrics/Monitoring space is an advantage Experience with sales methodologies like MEDD(P)ICC is a plus Compensation & Rewards In Sweden, the OTE (On-Target Earnings) compensation range for this role is SEK 1,286,000 - SEK 1,544,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .