We're looking for a Senior PPC Specialist to strengthen our team. Movavi is a global software company specializing in user-friendly photo- and video-editing software with over 20 products reaching users in over 200 countries. The main revenue streams come from the US, Europe, South Korea, and Latin America. The team operates primarily remotely with members worldwide. PPC is a key driver of the business, managing campaigns on Google, Bing, Naver, Yandex Direct, media ads, and paid social. The company is shifting to a data-driven approach, experimenting widely and testing new tools while maintaining profitable unit economics.
Задачи:
— Создавать рекламные кампании в Google Ads, Bing, Naver и других системах.
— Управлять кампаниями для роста ключевых показателей.
— Аудитировать рекламные кампании, искать точки роста, формировать планы, помогать с их реализацией и представлять результаты.
— Планировать и проводить эксперименты в платном продвижении для увеличения трафика и прибыли.
— Анализировать результаты.
— Разрабатывать аналитические инструменты и подходы для масштабирования привлечения трафика, роста целевых показателей и эффективности команды.
— Выбирать подход и масштабировать эффективное привлечение трафика в различных каналах: платный поиск, дисплей, программатика, платный соцмедиа и др.
Требования:
— Подтверждённый опыт работы PPC Lead в международной компании.
— Опыт управления кампаниями с фокусом на рост прибыли или аналогичные метрики.
— Обширный опыт использования автоматизации в управлении кампаниями, от оптимизаторов рекламы до аналитики данных.
— Экспертные знания глобальных и основных локальных систем контекстной рекламы, понимание новых инструментов и направлений их развития.
— Сильные аналитические навыки для интерпретации данных и принятия решений по оптимизации кампаний.
— Умение создавать стратегии развития рекламных инструментов и/или кампаний через тестирование гипотез и масштабирование успешных практик.
— Ориентация на результат и стремление превышать поставленные цели.
— Опыт продвижения платных приложений будет большим плюсом.
Условия:
— Возможность работать с глобальными рекламными кампаниями и передовыми инструментами продвижения.
— Прямой доступ к опыту команд роста крупнейших мировых рекламных систем.
— Прозрачность процессов и доверие — возможность видеть влияние своих действий на бизнес компании.
— Проактивная команда и поддерживающая рабочая среда, способствующая креативности и инновациям.
— Возможность работать из любой страны. Контракт подходит для визы цифрового кочевника.
Location: Korea
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
We’re seeking an experienced Engineering Program Manager to join Cohere’s customer-facing Engineering Program Management team. We need someone with curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine learning solutions. In return, you’ll have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform , Product and Go-to-Market teams, and be the “technical” voice of Cohere for the customer. You will get a chance to create extremely high-impact contributions to our fast-growing company, product and culture.
Please Note: This role is open to candidates based in Korea
As an Engineering Program Manager/ Technical Program Manager, you will:
- Communicate: Provide clear, timely, and objective communication across the tech organization, Cohere teams, leadership, and most importantly - our strategic customers and external partners.
- Optimize: Break down complex issues into strategies, driving engineering alignment with product, business, and marketing while fostering collaboration.
- Plan: Create and manage program/project schedules, identify dependencies, manage risks, and drive organizational alignment.
- Execute: Ensure on-time delivery, identify development needs, and establish checkpoints for status updates.
- Problem solve: Proactively identify and resolve issues, coordinate cross-functional dependencies, and prioritize impacts to schedule and product quality.
You may be a good fit if:
- You have at least 5 years of experience as an Engineering or Technical Program Manager, with at least 2 years in customer-facing technical delivery and operations focused on enterprise-grade AI software/solutions
- Knowledge or experience with LLM training or optimization would be a key differentiator
- You are problem-focused and making customers successful really excites you
- You are detail-oriented and extremely self-organized. You love enabling people and teams around you, and are excellent at capturing detailed notes/action items during highly technical meetings and tracking progress.
- You have a Bias for Action - you are very execution focused and you like getting things done.
- You have experience working with cross-functional teams to get technical products, services or solutions shipped to an internal or an external customer and can independently own tracking and reporting across multiple work-streams, with owners in different time-zones.
- You are comfortable holding leaders and individual contributors accountable. You can be assertive while remaining diplomatic. You are not afraid to follow up with people to ensure shipping within committed deadlines.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
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.
Technical Operations Support (TOS) Analyst
HYBRID: Aliso Viejo, CA
Contract, 12 months
As part of Sony Interactive Entertainment, GDFT is helping lead the cloud gaming revolution, delivering console-quality gaming experiences across televisions, consoles, mobile devices, and beyond.
The Technical Operations Support (TOS) team is a critical component of the operational foundation that enables GDFT to support a global cloud gaming platform at scale. The team provides frontline operational support for infrastructure, services, and internal processes that help ensure reliable delivery of world-class streaming experiences to players around the world.
As a Technical Operations Support Analyst, you will serve as a key operational partner responsible for handling support requests, maintaining operational processes, documenting procedures, and helping improve the efficiency of day-to-day operations. You will work closely with technical operations, engineering, and global support teams while developing foundational skills in cloud and datacenter infrastructure, operational support, troubleshooting, and process improvement.
Key Responsibilities:
Operational Support
Acknowledge, triage, and resolve support requests by following established Standard Operating Procedures (SOPs).
Perform routine operational tasks and maintenance activities while meeting service level agreement (SLA) commitments.
Escalate issues appropriately when incidents or requests fall outside established support procedures.
Support day-to-day operational activities required to maintain platform stability and service availability.
Monitor operational queues and ensure timely resolution of assigned work.
Documentation & Process Management
Create, update, and maintain SOPs, knowledge base articles, and operational documentation.
Ensure documentation follows team standards and remains accurate and up to date.
Contribute to process standardization efforts that improve consistency across operational activities.
Continuous Improvement
Identify recurring issues, repetitive tasks, and operational inefficiencies.
Provide feedback and recommendations for automation opportunities.
Partner with technical teams to improve workflows, tooling, and operational processes.
Contribute ideas that help reduce manual effort and improve team productivity.
Collaboration
Work closely with team leads, engineers, and global operational teams to support business objectives.
Participate in operational reviews, process improvement initiatives, and cross-functional projects.
Communicate clearly regarding ticket status, operational risks, and support activities.
Required Technical Experience (MUST)
1–3 years of experience in Information Technology, Technical Support, Operations Support, or a related field.
Foundational understanding of computer systems, operating systems, networking concepts, and troubleshooting methodologies.
Experience working with ticketing systems, service request management, or operational support processes.
Ability to follow documented procedures while maintaining attention to detail and accuracy.
Communication & Collaboration (MUST)
Strong written and verbal communication skills.
Strong organizational skills and attention to detail.
Ability to collaborate effectively within a team environment.
Demonstrated commitment to learning and professional growth.
Work Style (MUST)
Strong sense of ownership and accountability for assigned work.
Ability to manage multiple priorities in a structured environment.
Willingness to work flexible schedules, including evenings, weekends, and holidays, as business needs require.
Preferred Qualifications (WANT)
Experience with Linux operating systems and command-line tools.
Experience troubleshooting hardware, software, or infrastructure-related issues.
Familiarity with Jira, Confluence, ServiceNow, or similar ticketing and documentation platforms.
Exposure to cloud computing platforms such as AWS or Google Cloud.
Experience supporting operational environments that require adherence to SLAs.
Basic scripting experience using PowerShell, Bash, Python, or similar technologies.
Coursework, certifications, or training in Information Technology, Computer Science, Networking, or related disciplines.
Familiarity with monitoring, alerting, or observability tools.
Experience participating in process improvement or operational efficiency initiatives.
Candidate Profile - we
are looking for someone who:
Takes ownership of problems and follows through to resolution.
Demonstrates curiosity and a desire to continuously learn new technologies and operational practices.
Approaches work with discipline, consistency, and attention to detail.
Communicates clearly and professionally with teammates and stakeholders.
Enjoys identifying opportunities to improve processes and reduce repetitive work.
Works effectively in a fast-paced operational environment.
Maintains a positive, team-oriented attitude while handling competing priorities.
Success in This Role
Consistently meet operational support and SLA expectations.
Maintain accurate and high-quality operational documentation.
Develop strong troubleshooting and operational support skills.
Identify opportunities to improve operational efficiency.
Build foundational knowledge of infrastructure, cloud operations, and large-scale service environments.
Become trusted operational partners to engineering and support teams.
Why Join Us
This role provides a unique opportunity to gain hands-on experience supporting a global cloud gaming platform while developing technical and operational skills that can serve as a foundation for future growth in Technical Operations, Cloud Operations, Infrastructure Engineering, or Site Reliability Engineering.
You will work alongside experienced professionals, contribute to critical operational processes, and help support the technology that powers gaming experiences for players around the world.
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
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: Costa Mesa, United States
Our Client is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Our client is changing how military systems are designed, built and sold. The family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, they are committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
The
Air Dominance and Strike Aerostructures Engineering Team
is responsible for designing and analyzing advanced structural parts for Group 5 air vehicles and missile platforms. Air Dominance and Strike Structures Engineers own the full development lifecycle, from conceptual to detailed design and analysis of primary and secondary structures ensuring high-performance, resilient, and scalable mechanical systems that meet the demands of complex, contested environments.
WHAT YOU’LL DO:
Utilize first principle methods and design tools to develop new aircraft products
Own development of primary and secondary aircraft structural parts and assemblies (metallic and composite) from preliminary design through prototype manufacturing
Perform complex modeling and finite element analysis at the detailed component level, major assembly level, and aircraft level (analysis simulations to include strength, buckling, damage tolerance, and delamination)
Apply design for manufacturing concepts to create solutions that are cost effective and easy to manufacture at rate
Conduct trade studies and perform design and analysis research of complex engineering concepts to determine an optimal solution for weight, performance, manufacturability, cost, and/or schedule
Collaborate in a multidisciplinary environment to solve complex, open-ended problems with an emphasis on schedule and cost objectives
Coordinate work with mechanical systems, systems integration, aerodynamics, manufacturing, project engineering, and other team members
Onsite engineering support at manufacturing and integration sites
REQUIRED QUALIFICATIONS
B.S. in Aerospace Engineering or Mechanical Engineering, or equivalent experience
5+ years of experience in aerospace or related industry
Strong technical knowledge in core engineering principles, fundamental mechanics of composite materials, design, analysis, testing, and fabrication
Deep understanding of load paths, design practices, and hand calculations to design robust structurally efficient assemblies
Proven ability to design high performance structures and execute their fabrication
Self-directed, results oriented, and capable of working in a dynamic environment
Excellent time management, organizational, and communication skills
Ability to obtain and maintain US DoD Secret Clearance or higher
PREFERRED QUALIFICATIONS
Experience with clean sheet aircraft configuration
Siemens NX proficiency
Experience with fast paced prototype design and manufacture of uncrewed aircraft
Experience with high temperature materials selection
Broad experience across a range of aircraft programs
Hands-on experience with manufacturing
Practical aircraft knowledge (pilots license, A&P, etc.)
Задачи:
— Разработка и поддержка серверных приложений и RESTful API на Kotlin (Ktor или Spring Boot).
— Проектирование микросервисной архитектуры с паттернами межсервисного взаимодействия.
— Проектирование и оптимизация схем баз данных PostgreSQL/MongoDB, реализация кэширования (Redis).
— Интеграция брокеров сообщений (Kafka, RabbitMQ) для асинхронной и событийно-ориентированной обработки.
— Реализация аутентификации и авторизации (JWT, OAuth2), написание чистого и документированного кода.
— Контейнеризация приложений с Docker, оркестрация с Kubernetes, настройка CI/CD.
— Написание unit и интеграционных тестов (JUnit, MockK), оптимизация производительности.
— Взаимодействие с мобильными и фронтенд-командами по API контрактам, участие в код-ревью.
Требования:
— Опыт коммерческой backend-разработки на Kotlin от 3 лет.
— Глубокие знания Kotlin и практический опыт с Ktor или Spring Boot.
— Понимание REST API и опыт работы с PostgreSQL/MySQL и ORM.
— Практический опыт с Coroutines, Flow, брокерами сообщений (Kafka, RabbitMQ, Redis).
— Знание микросервисов, стратегий кэширования, контейнеризации (Docker, Kubernetes).
— Опыт работы с Git, CI/CD инструментами, тестовыми фреймворками (JUnit, MockK, Kotest).
— Базовые знания облачных платформ (AWS, GCP, Azure) и лучших практик безопасности.
— Сильные навыки решения проблем и умение работать в распределенной команде.
— Английский язык на уровне B2 и выше (письменно и устно).
Будет плюсом:
— Опыт с GraphQL, gRPC, event sourcing/CQRS.
— Знания Elasticsearch, serverless, распределенного трейсинга.
— Опыт с другими JVM-языками (Java, Scala), потоковой обработкой данных (Kafka Streams, Flink).
— Знакомство с поисковыми системами, MLOps, блокчейн-бэкендом.
— Вклад в open-source проекты на Kotlin или backend.
Условия:
— Удаленная работа, полный рабочий день, аутсорс/аутстафф.
— Географические ограничения: кандидаты из Египта, Индии, Пакистана и Афганистана не рассматриваются.
Location: Europe
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
ABOUT THE ROLE
Synthesia's long-term vision is to build the best human-interactive models: systems that don't just talk to people, but perceive and respond to them, reacting to a user's actions and emotions, not only their words. Today over 60,000 businesses rely on our platform, and the next leap in what we can offer them depends on models that combine text, audio, and video into a single real-time interactive experience.
As a Staff Research Engineer, you'll join the Voice team within our 40+ person R&D department, but your scope will extend well beyond voice. You'll help define and drive that broader vision across teams, proposing ambitious research directions and taking direct ownership of the design and implementation of its most critical components. You'll work directly with our voice lead and collaborate tightly with our video teams and other senior members of the org.
Concretely, you'll work on voice to voice models that produce text and voice simultaneously. Models that can reason, interrupt the user with back channeling and talk. Models that feel like you are having a natural conversation with, without the feeling of turn taking that is dominant in current speech to speech models. Your role would be to partner in defining a roadmap, implementing it and shipping the outcomes to product.
What you'll do
- Shape our roadmap to create new model capabilities and unlock new functionality for our customer base, on both short and long time horizons.
- Propose novel multi-modal system architectures (especially text and voice).
- Develop and evaluate streaming and conversational systems for low-latency, interactive voice-video synthesis.
- Design solutions that reinforce emotional expressiveness and natural interaction.
- Implement and bring designs to life, from pretraining through post-training.
- Integrate and test novel architectures (neural codecs, diffusion, flow-matching) to enhance realism and responsiveness.
- Define new evaluation metrics for conversational systems, including latency-aware and interaction-based measurements.
- Track the latest research in audio-visual diffusion, autoregressive models, neural codecs, and multimodal LLMs.
- Curate new datasets to complement existing data.
- Lead post-training initiatives like DPO, fine-tuning, and distillation to bring models to shipping quality.
- Ship models to production with optimised runtime to serve customers, and address their feedback thereafter.
YOU'LL THRIVE IN THIS ROLE IF YOU HAVE
- The ability to bring novel ideas and designs that advance the field of interactive multimodal systems.
- Strong understanding of generative modelling, ideally applied to sequential or multimodal data.
- Hands-on experience with large language models or similar transformer-based architectures.
- High proficiency in PyTorch, including distributed training and model optimization.
- A solid grasp of time-series modeling and tokenization, preferably in the context of audio, speech, or video.
- A demonstrated ability to prototype quickly, test hypotheses, and iterate efficiently.
- Proven experience training deep learning models end-to-end, from data preparation through evaluation.
- Strong general software engineering skills, enabling contributions to a large, shared research infrastructure.
PARTICULARLY RELEVANT EXPERIENCE
- Having shipped a generative model into a live product used at meaningful scale, not just published or prototyped it.
- Working on conversational or interactive systems where latency, responsiveness, and user experience were first-class constraints, not afterthoughts.
- Working on LLMs with large scale trainings leadings to models with decent reasoning capabilities
- Owning a research problem end to end: from architecture proposal through pretraining, post-training, and production deployment.
- Collaborating across modalities or teams (e.g. audio and video, or research and product) to ship a unified system.
BONUS POINTS FOR
- Experience with real-time or streaming architectures.
- Familiarity with state-of-the-art architectures in audio and speech generation, such as diffusion models, neural codecs, flow-matching models, or autoregressive decoders.
- Excellence in one or more of the following modalities: voice, text, video.
- Evidence of original research contributions, such as publications or open-source work at top-tier venues (e.g. NeurIPS, CVPR, ICML, ICLR, Interspeech).
Location: Worldwide
Workplace: hybrid
Job Opening: Chief Engineer – Cruise Ship
Vessel Type: 290 m Length, 85,000 GT / 335 m Lenght ,150,000 GT | Azipod Propulsion
Contract Type: Rotational
Location: Worldwide Itineraries
We are seeking a skilled and experienced Chief Engineer to join our cruise ship fleet.
Key Responsibilities:
· Ensuring preventive maintenance and repairing machinery, avoiding delays on sea passage or during the turnaround of the vessel. The Chief Engineer shall work closely with all departments in this respect;
· Reporting directly to the Master and the Technical Manager any matters affecting Quality, Safety & Health, Environmental protection and Energy Efficiency;
· Ensuring close liaison and cooperation with all department heads to facilitate smooth and efficient vessel operations;
· Ensuring that the Planned Maintenance System (PMS) is updated and operated in compliance with Company’s requirements;
· Ensuring that Engine Officers and Crew are familiar with the Company's Management System;
· Motivating the Engine Officers and Crew in executing their duties according to the Company's Management System;
· Ensuring that a robust Safety & Health culture and Environmental and Energy Efficiency awareness is encouraged and maintained;
· Providing the Master with a positive report prior to each departure, that the vessel is ready to proceed to sea, with respect to the main and auxiliary machinery and the responsibilities of the Engineering section;
· Ensuring close co-operation with the Staff Captain with particular regard to the safe loading of the vessel, stress and stability;
· Responsible for safe and efficient fuel oil, diesel oil and lube oil bunkering operations;
· Ordering spares and repairs (including dry-dock specifications) as required via the Technical Manager; Ensuring that activities are well planned, organized and safeguards established against all identified risks;
· Issuing appropriate orders and instructions in a clear and simple manner and verify that specified requirements are observed;
· Ensuring that corrective and preventive actions are implemented timely and effectively;
· Reviewing the Company’s Management System on a regular basis and reporting to the Master proposals for improvement.
· Furthermore, in accordance with the requirements of the Company’s environmental procedures the Chief Engineer is responsible for:
· Ensuring the Engineering Department is in compliance with all applicable environmental legislation and regulatory controls as well as Company’s Environmental & Energy Management System;
· Ensuring that all engine room personnel have appropriate training on environmental & energy policies and procedures, including but not limited to training on the operation and use of pollution prevention equipment, bilge and ballast pumps, Incinerator, Sewage Treatment Plant and Oily Water Separator (OWS);
· Ensuring that all engine room personnel have appropriate training to make entries in the Oil Record Book, the Garbage Record Book, the Engine Room Bilge, Oil Residue and Sludge Tank Sounding Log or any other logs required by the Company environmental procedures, or any other maritime environmental protection and energy efficiency requirements;
· Ensuring that the Incinerator, the Oily Water Separator (incl. the Oil Content Meter) the Sewage Treatment Plant and any other pollution prevention equipment installed onboard are operational and tested in accordance with the relevant Machinery Space Operation Procedures. Inform immediately the Technical Manager, the and the Designated Person Ashore (DPA) if there is a malfunction of the above listed equipment;
· Ensuring that the Chief Engineer’s handover notes include an environmental component and description of the current status of operation, maintenance, and repair, for the Incinerator, Oily Water Separator (OWS), Oil Content Meter (OCM) and any other pollution prevention procedures or equipment, the status of spare parts for the aforementioned equipment, and an estimation of the day-to-day bilge loads and accumulations; Entries in the handover report must be descriptive, not solely answers marked as “Yes” or “No” or “Good”;
· Ensuring that all Engine Room records, soundings and tank measurements are accurate and recorded truthfully. Rough notes, sounding logs and/or other documents used by engine room personnel to record tank soundings and monitor tank levels are maintained for one year, and such notes are dated even if managed on scrap paper;
· The completeness, accuracy and readiness of the Oil Record Book and authenticating the accuracy of each entry;
· Working closely with the Environmental & Energy Officer to communicate the Company’s environmental objectives and targets to the Engineering Department, encouraging their participation and contribution;
· Reporting to the Master, Technical Manager and the Designated Person Ashore (DPA) all instances where inadequate response associated with spare parts delivery, maintenance and repair or other factors, caused conditions leading to excessive production in shipboard waste streams;
· Ensuring that bunkering procedures are implemented and bunker samples and bunkering records are properly kept and maintained onboard as explained in the relevant Machinery Space Operation Procedures. Inform immediately the Master, Technical Manager and the Designated Person Ashore (DPA) if contaminated fuel is received onboard.
Qualifications & Experience:
•Valid STCW certification and Chief Engineer (Unlimited) license.
•Minimum 3 years’ experience as Chief Engineer on passenger vessels of equivalent tonnage.
•In-depth knowledge of Azipod propulsion technology and marine engineering systems.
•Strong leadership and team management skills, with the ability to motivate and lead a multinational crew.
•Proficient in English (spoken and written); additional languages a plus.
•Excellent problem-solving and troubleshooting abilities.
•Experience with energy efficiency measures and environmentally friendly technologies onboard.
This post is for active pooling recruiting. We are very happy to connect with interested candidates
Location: Poland
Workplace: remote
WELCOME TO OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
This role will be based in Poland, and you need to be residing in the country already.
As an Engineering Manager, you'll lead software engineers building and scaling critical platforms that power the OLX engineering ecosystem. You'll combine strong people leadership with enough technical depth to guide major projects, shape technical direction, and help the team solve complex platform challenges.
This is not a generalist Engineering Manager role. Previous experience leading an engineering team in a Platform environment is mandatory. We need someone who understands what it means to build platforms for other engineers and the unique challenges that come with balancing developer experience, reliability, scalability, standardisation, and team autonomy.
You'll capture requirements, shape ambitious but balanced project scope, lead technical initiatives, and partner across teams to solve technical problems and ensure smooth adoption and implementation of platform solutions. Our Platform environment is a mix of software engineering, APIs, distributed systems, infrastructure, DevOps, scalability, and reliability.
We're looking for someone who can operate at both levels: developing people and leading a Platform team, while providing the technical and organisational leadership needed to make the platform successful.
What you will be doing:
Lead by example and manage a team of talented engineers, providing technical guidance, mentorship, and career development support;
Collaborate with cross-functional teams, including data science and data engineering managers, and product managers to define project goals, scope, and deliverables;
Drive the end-to-end development process, from design to implementation and deployment, ensuring high-quality and scalable solutions (with controlled cost);
Identify and prioritize technical initiatives, considering ROI, scalability, and performance requirements;
Implement modern software development practices, including agile methodologies, continuous integration, and deployment, to ensure efficient and effective project delivery;
Collaborate with stakeholders to gather and analyze requirements, ensuring that the platform meets customer needs and provides an exceptional user experience;
Foster a collaborative and inclusive team culture, promoting knowledge sharing, innovation, and continuous improvement.
What you have:
Bachelor's or Master's degree in Computer Science or a related field;
Track record of proven people management experience (3+ years) focused on developing and growing people;
5+ years of professional experience in software development.
Proven experience in designing and developing large-scale, high-traffic systems;
Familiarity with microservices architecture and container orchestration (e.g. Docker, Kubernetes, Streaming architectures);
Strong knowledge of data structures, and software design patterns;
Good understanding and ideally successful application of AI/ML;
Experience with modern software development practices, such as agile methodologies, continuous integration, and deployment;
Excellent problem-solving skills and the ability to work effectively in a team environment;
Proficient in English, with strong verbal and written communication skills.
Our benefits:
Monthly salary and an annual bonus (20%)
Training and conference budget, and free access to Udemy courses
A benefits package with 300 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more
IP rights’ costs - 60%
100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw)
At OLX, we unlock value in our people. We invest in ourselves and each other to reach our full potential. We avoid bureaucracy and empower our teams to innovate; with opportunities, training and leadership behaviors a focus for all. Our commitment to inclusion ensures we listen to a diverse range of voices when making decisions. And, we combine the spirit and agility of a startup with our global scale and the backing of Prosus, one of the largest consumer internet groups in the world.
We also unlock value for our stakeholders. We are proud of the positive contribution we make to our planet, by enabling more conscious consumption and helping the world make the most of its limited resources through more efficient trade.
And last but not least, we love to unlock value for our customers. Every single month, over 300 million people use our platforms to easily, safely, and conveniently find their perfect home, buy or sell a car, find a great job, sell things they no longer need, or strike a great deal on something they need. And we help thousands of entrepreneurs and businesses find their customers too.
Diversity, Equity and Inclusion at OLX
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: Buenos Aires, Argentina; Ciudad de México, Mexico; Bogotá, Colombia; Moscow, Russia; Belgrade, Serbia; Caracas, Venezuela, Bolivarian Republic of
Workplace: remote
At
NOVACARD
, we’re redefining how people use credit. We are the
first interest-free and no-annual-fee credit card in Mexico
, designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to
$200,000 MXN in credit
, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.
About the Role:
We are looking for a strong Product Manager to lead the development and growth of our cash loans and credit lines portfolio for the Near Prime segment. You will be fully responsible for building and scaling these products, owning their P&L, and delivering a seamless customer experience across every touchpoint. This is a role for someone who can balance customer desirability, technological feasibility, and business profitability — turning constraints into competitive advantages. The role is mostly remote, with business trips when required.
Key Responsibilities:
Define product strategy and roadmap for Cash Loans and Credit Lines tailored to Near Prime customers, based on market analysis and competitive monitoring.
Design compelling value propositions that balance customer attractiveness with tech feasibility, regulatory constraints, and financial efficiency.
Own full product P&L and key performance metrics: time-to-yes, time-to-cash, activation and usage rates, balance per customer, profitability, vintage risk quality, and attrition. Initiate data-driven changes to meet target KPIs.
Architect end-to-end customer journeys, covering legal, financial, and technology layers to ensure seamless onboarding and lifecycle management — from acquisition and activation to active usage and retention.
Develop partnership integration concepts with online/offline retailers and other channels to drive customer acquisition.
Continuously analyze and improve unit economics (UE) for each product, increase customer segment LTV, and boost overall portfolio efficiency.
Build and manage end-to-end product management processes for the Cash Loans and Credit Lines stream. Define a success matrix for new products and initiatives.
Collaborate cross-functionally with risk, marketing, IT, finance, and legal teams (both locally and with headquarters). Collect and incorporate feedback from all stakeholders.
Drive continuous improvement of customer experience (CJM) through product and process optimization. Ensure new features and products meet cost, quality, and performance targets.
Key Requirements:
Solid experience in consumer lending (Cash Loans, Credit Lines, Credit Cards, PDL, or other unsecured credit) on the business or risk management side — mandatory.
Deep understanding of adjacent functions: risk management, marketing, and IT.
Strong upper-intermediate English (both spoken and written) — required for regular communication with international teams and HQ.
Powerful analytical skills, out-of-the-box thinking, and flexibility. Ability to work effectively in a fast-paced, multitasking environment.
Openness to new ideas, genuine desire to learn, advanced communication and soft skills.
What We Offer
Remote work format, with office/on-site options when needed.
Official employment under local labor law; contractor arrangements available for candidates from other countries.
Opportunity to shape a strategically important product line in an international fintech environment.
Data-driven culture where your decisions directly impact business growth and customer outcomes.
Autonomy to build processes from scratch and drive meaningful innovations in the Near Prime lending space.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
OUR MISSION
At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
ABOUT THE ROLE
As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments.
WHAT YOU'LL DO
- Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures.
- Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies.
- Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning.
- Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance.
- Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality.
- Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models.
- Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply.
- Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops.
WHAT WE'RE LOOKING FOR
- A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it.
- Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction.
- Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities.
- Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code.
- Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly.
- Excitement about grounding generative models in physical reality rather than pixels alone.
NICE TO HAVE
- Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL).
- Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations.
- Experience using world models for policy evaluation or synthetic data generation at scale.
- Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions.
- Experience optimizing generative models for fast inference.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.
WHAT YOU'LL DO
- Post-train policies via behaviour cloning and RL; own the full loop from data to deployment.
- Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage.
- Work closely with external partners to ensure steady supply of high-quality pretraining-scale data.
- Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes.
- Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining.
- Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference.
WHAT WE'RE LOOKING FOR
- 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it.
- Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference.
- Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies.
- Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code.
- Familiarity with modern software engineering practices.
- You document experiments clearly and communicate trade‑offs crisply.
NICE TO HAVE
- Robotics or autonomous driving experience.
- Experience applying RL to LLMs or robotics.
- Experience with VLA (vision-language-action) models.
- Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization).
- Publications at top-tier deep learning conferences or equivalent open‑source contributions.
- Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Poland (Remote)
About the Opportunity
We are looking for a dedicated and proactive VIP Relationship Manager (VIP RM) to join our Poland team.
As a VIP RM, you will play a key role in expanding our base of VIP clients with a focus on Poland. This role is focused on active traders, high-net-worth individuals (HNWIs), family offices,
prop trading
desks, and smaller corporate clients, driving our growth through partnerships and key client development in parallel to our institutional team, which, on the other hand, focuses on larger professional, enterprise and institutional clients.
What You'll Be Doing
Your primary goal will be to drive trading volume and maximize Assets Under Management (AUM) in the region through onboarding and retention of VIP clients.
Revenue and Product Strategy
Formulate a revenue strategy and optimization plan based on OKX's European product offerings
Collaborate closely with the product team to gather client feedback, identify optimization opportunities, and enhance relevant product features
Strategic Leadership and Partnerships
Work closely with local executive leadership to contribute to the company's overall strategic direction
Lead partnership efforts in Europe — identify suitable partners and execute negotiations to expand reach and revenue streams
Client Management and Growth
Manage relationships with HNWIs and key clients in Europe, ensuring positive customer experiences through proactive account management
Build long-lasting client relationships to secure referrals and originate new prospects, working with operations to address roadblocks
Compliance and Brand Advocacy
Oversee legal and compliance aspects, including regulatory adherence, client KYC/AML processes, and reporting
Serve as a brand ambassador, educating customers on OKX's full value proposition (trading tools to yield products), while escalating feedback to improve platform compliance and user experience
What We Look For In You
Core Qualifications
Bachelor’s degree in Business, Marketing, Finance, or a related field (or equivalent professional experience in fintech/crypto).
Fluency in English and Polish, with additional CEE languages (e.g., Russian, Ukrainian) considered a strong plus for regional client engagement.
Industry Expertise
5+ years of proven experience in VIP business development and account management within crypto, fintech, trading, or wealth management, ideally in Poland or CEE.
Track record of driving trading volume,
AUM
growth, and high-value client onboarding/retention in competitive markets like spot, margin, or derivatives trading.
Technical and Analytical Skills
Strong analytical skills to interpret market data, user behavior metrics, and performance dashboards for revenue optimization and product feedback loops.
Deep familiarity with crypto products (e.g., perpetuals, staking, Earn, fiat integrations) and trading platforms.
Soft Skills and Leadership
Exceptional communication, negotiation, and relationship-building abilities, with experience managing VIPs such as HNWI, family offices, proptrading desks.
Goal-oriented mindset with a history of exceeding KPIs in user acquisition, retention, and revenue targets through data-driven strategies.
Compliance and Market Knowledge
In-depth understanding of
MiCA
,
MFSA
, AML/KYC,
EDD
, and CEE financial regulations, including cross-border licensing and risk management.
Proven ability to collaborate with legal, product, and
ops
teams to mitigate compliance risks while enhancing client experiences.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Europe
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We are seeking an experienced and dynamic leader to build ElevenLabs' public sector business across Europe. The Public Sector Partnerships Lead will identify and build relationships with government institutions across Europe, bridging the gap between government and our GTM team to drive adoption of ElevenLabs' products and grow government into a strong, durable revenue stream for the company. The role also involves building strategic partnerships with policymakers, industry associations, and coalitions — including at the EU institutional level — as well as monitoring regulatory developments and supporting policy campaigns and impact initiatives.
In this role, you will:
Drive government adoption and revenue (primary)
- Identify government partnership opportunities across Europe — from healthcare and education to defence, transport, and other state-owned enterprises — and bridge the gap between government institutions and the GTM team to drive adoption and deployment of ElevenLabs' products.
- Build and maintain a wide network of relationships across European government institutions — spanning national ministries, agencies, EU institutions, and public sector bodies — not limited to regulatory or policy counterparts.
- Promote government adoption of ElevenLabs products and services in partnership with the GTM team.
Build strategic partnerships (secondary)
- Build and maintain strong relationships with policymakers, regulators, industry associations, and civil society groups — at both the national and EU level.
- Represent ElevenLabs at conferences and industry events, advancing the company's public policy goals.
Monitor and advise on policy (tertiary)
- Lead ElevenLabs engagement with government bodies and officials across Europe, with a focus on AI governance, safety, copyright, privacy, transparency, data protection, competition, and/or digital rights.
- Monitor, analyze, and advise on emerging regulations impacting the company — with particular attention to EU-level legislation (AI Act, GDPR, DSA/DMA) and its implementation across member states.
- Support the development of internal policies by our Legal, Safety, Security, and other teams.
- Provide strategic counsel to company leadership on regional policy trends and their business implications.
- Define and implement policy campaigns and impact initiatives that advance company objectives.
Who you are:
- You're genuinely interested in the future of AI and emerging technologies, bringing curiosity and enthusiasm to your role.
- You stay up-to-date on AI regulation and industry trends, and are eager to apply this expertise to cutting-edge products.
- You thrive in a fast-paced, dynamic startup environment, working cross-functionally with teams across the organization to support and scale a growing business.
- You're comfortable working independently and handling ambiguity, excelling in situations where you must make informed decisions quickly.
- You bring a proactive, solution-oriented approach to each project, focused on moving the business forward.
What you bring:
Primary requirements
- 10+ years' experience in public and private sector (in-house, firm) roles, with a track record of building relationships with government that led to commercial or technology-adoption outcomes — not solely policy or regulatory roles.
- A wide, current network of contacts spanning multiple European markets — across national ministries, agencies, and public sector bodies — as well as EU institutions (European Commission, European Parliament, Council). Depth in at least two major European markets is strongly preferred.
- Experience identifying and opening doors for technology partnerships with government institutions is strongly preferred.
- Experience navigating the multi-stakeholder landscape of EU policymaking — member state governments, EU institutions, and Brussels-based coalitions — is a significant plus.
Also required
- Strong knowledge of the European AI policy landscape, including the EU AI Act, GDPR, DSA/DMA, and broader themes of AI governance, safety, copyright, privacy, transparency, data protection, and competition.
- Demonstrated success in designing, advocating for, and influencing policy outcomes, as well as coalition building.
- Public policy experience across Europe.
- Exceptional written and verbal communication skills, including when briefing government officials and other policymakers.
- Fluency in English; additional European languages are a strong plus.
Location
This role is located in Europe.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: London, United Kingdom
Workplace: hybrid
EveryMatrix
is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide.
But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork.
Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.
We are looking for a dedicated Data Analyst to join our team in London!
About the job:
This is a rare opportunity to shape how data-driven decision-making works at scale across an iGaming CRM platform — both from the inside and for the operators who rely on it. As Data Analyst, you will sit at the intersection of product and commercial impact. You will define what “good” looks like for player engagement, build the analytical foundations that power our CRM platform’s insight layer, and work directly with operators to translate raw data into strategies that grow retention, lifetime value, and campaign performance. You will not just report on what happened - you will define what should be measured, why it matters, and how to act on it. This role is as much about influence and expertise as it is about analysis.
What You'll get to do:
Define the KPIs, metrics, and analytical frameworks that underpin our CRM platform’s reporting and intelligence capabilities.
Work closely with Product and Engineering to shape what data gets captured, how it is structured, and how it surfaces to end users.
Build and maintain dashboards, reports, and self-serve analytical tools that operators can act on directly.
Identify gaps in current data coverage and lead initiatives to close them.
Partner with operators to understand their retention and engagement challenges, and translate those into data-driven recommendations.
Develop scalable insight frameworks - benchmarks, cohort analyses, segment performance models - that can be applied across multiple operators simultaneously.
Produce regular insight packages that help operators understand player behaviour, campaign effectiveness, and growth opportunities.
Identify cross-operator patterns and trends that can inform product development and best practice guides.
Analyse campaign performance across the full lifecycle: targeting, delivery, engagement, conversion, and retention impact.
Define and evolve segmentation logic, player scoring models, and lifecycle stage definitions.
Establish A/B testing standards and support teams in designing, running, and interpreting experiments.
Build predictive indicators for churn, reactivation potential, and player value to support proactive campaign strategies.
Act as the analytical authority in cross-functional discussions with Product, Commercial, and Customer Success teams.
Present findings and recommendations clearly to both technical and non-technical audiences, including operator-side stakeholders.
Contribute to roadmap planning by surfacing data-backed opportunities and gaps.
What we’re looking for:
5+ years of experience in a Data Analyst or similar role.
Hands-on iGaming CRM experience is essential - you must have worked within an iGaming operator or platform environment, with a strong understanding of player behaviour, bonus mechanics, and retention marketing.
Deep understanding of CRM operations: campaign logic, segmentation, lifecycle marketing, and retention mechanics.
Strong SQL proficiency - you are comfortable building complex queries, data models, and analytical datasets from scratch.
Experience working with large-scale behavioural or transactional datasets.
Proven ability to define metrics and measurement frameworks, not just report against existing ones.
Experience building dashboards and self-serve reporting tools (e.g. Looker, Tableau, Metabase, or similar).
Comfortable working directly with external clients or operators, translating their business questions into analytical answers.
Strong written and verbal communication skills - you can tell a clear story with data.
Desirable:
Familiarity with A/B testing methodologies and experiment design.
Exposure to predictive modelling or working alongside data scientists on applied ML use cases (churn, LTV, propensity).
Experience with event-driven or streaming data environments.
Python or R for analytical scripting and automation.
Here's what we offer:
Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with us.
Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year.
Private medical insurance with the option to add dependants.
Monthly meal allowance.
Gym allowance.
Access to online learning platforms like Udemy for Business and a budget for external training.
Benefit from two Free Fridays each year, limited to one per quarter.
3 sick leave days per year, no doctor's note required.
Support for New Parents:
- 52 weeks of paid maternity leave, with 21 weeks being fully paid
- 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old.
At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!
EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.
Location: Boston, MA
Workplace: OnSite
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives.
Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise.
As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems.
Responsibilities:
- Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers.
- Improve ML data pipelines, tooling, and validation systems that support robust model performance.
- Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency.
- Collaborate with researchers and Product teams to align model development with physiological insights and member impact.
- Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations).
- Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation).
- Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review.
Qualifications:
- Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
- 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems.
- Experience working with time series data (wearable, physiological, or high-frequency sensor data).
- Strong coding skills in Python with a track record of writing clean, production-quality code.
- Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch).
- Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP).
- Preferred: 2+ years experience applying advanced mathematical and statistical techniques.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Location: Serbia
Workplace: remote
About You
We’re looking for a Web3 Fullstack Engineer to build the layer where web2 and web3 meet. Our mission is seamless web2 ↔ web3 integration — letting players and developers interact with digital items and move them through their full lifecycle (mint, own, trade, transfer, redeem, retire) without ever having to think about which side of the chain they’re on. You’ll work across the whole stack: wallet-connected frontends, high-throughput backend services, and the smart contract and indexing layers that make on-chain items feel as fast and familiar as anything in web2.
This is a hands-on engineering role with broad ownership. A player buying an item with a credit card, a game granting an in-game asset, and a marketplace settling a peer-to-peer trade should all resolve to the same coherent item model — regardless of whether the item lives in a database, a custodial wallet, or on-chain. Making that experience invisible to the end user, and reliable for the developer, is the core of the job.
You care about product quality and developer experience as much as protocol correctness. You’re comfortable owning a feature end to end, reasoning about trust and custody boundaries, and making pragmatic calls about what belongs on-chain versus off-chain.
About Us
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com
Responsibilities
Build Seamless Web2 ↔ Web3 Integration
— Design and ship the flows that let users move between traditional accounts/payments and on-chain wallets without friction: custodial and non-custodial wallets, account abstraction, gasless transactions, and fiat on-ramps.
Own the Digital Item Lifecycle
— Build the systems behind item mint, ownership, transfer, trading, and redemption — keeping on-chain state and off-chain records consistent, auditable, and fast.
Develop Fullstack Features
— Deliver end to end across wallet-connected frontends, backend services, and the smart contract / indexing layer that powers item ownership and turnover.
Model Items & Ownership
— Design data models and APIs that represent items uniformly whether they live off-chain, in a custodial wallet, or on-chain, and keep them in sync.
Ensure Reliability of Value Flows
— Anything that moves items or money must be correct under failure: idempotency, reconciliation, replay safety, and clear recovery paths.
Integrate Blockchains & Marketplaces
— Interact with EVM chains, token standards, indexers, and marketplace/settlement flows; abstract their differences behind clean internal interfaces.
Collaborate Across Teams
— Work with product, security, payments, and game-facing teams to turn business needs into well-scoped technical plans, and document decisions so they stand on their own.
What You Bring
Web3 & Digital Assets
Web2 ↔ Web3 Integration
— Hands-on experience bridging traditional systems with on-chain ones: wallet onboarding, custodial vs. non-custodial trade-offs, account abstraction, gasless/relayed transactions.
EVM & Smart Contracts
— Working knowledge of EVM chains and Solidity, including reading, integrating with, and reasoning about the safety of contracts.
Token & Item Standards
— Practical understanding of ERC-20, ERC-721, and ERC-1155, and how they map to real game items, ownership, and transfers.
On-chain / Off-chain Sync
— Experience keeping blockchain state consistent with off-chain databases: indexing, event ingestion, reorg handling, and reconciliation.
Frontend Engineering
TypeScript & React
— Strong TypeScript and React skills for building responsive, production-grade interfaces.
Wallet Integration
— Experience with wallet connectivity and web3 client libraries (e.g. wagmi, viem, ethers.js, WalletConnect) and embedded/social login wallets.
Backend Engineering
Backend Services
— Solid backend skills in Node.js and Go: clean APIs, concurrency, and performance under load.
Distributed Systems
— Experience with distributed systems and their trade-offs (consistency, availability, failure modes), especially where correctness of value transfer matters.
Data & Infrastructure
PostgreSQL
— Schema design, query optimization, and migrations at scale.
Kubernetes
— Deploying, operating, and debugging services in a k8s environment.
Message Streaming
— Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery.
Git & CI/CD
— Git and modern CI/CD practices.
Domain Context
Gaming Industry Experience
— Experience building or operating platforms for game developers, publishers, or players — especially anything touching in-game items, economies, or ownership.
Nice to Have
Experience building NFT marketplaces, item trading, or secondary-market / settlement systems
Familiarity with blockchain indexing tooling (The Graph, custom indexers) and node/RPC infrastructure
Experience with account abstraction (ERC-4337), smart wallets, or paymaster/relayer setups
Background in payments or fiat on-ramp integration bridging traditional commerce and crypto
Experience with non-EVM ecosystems (Solana, etc.) or cross-chain / bridging patterns
Familiarity with security and compliance relevant to digital assets: custody, key management, audit logging, KYC/AML touchpoints
Contributions to open-source web3, wallet, or tooling projects
Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Remote, Bay Area, CA; Remote, San Francisco, CA; Remote, AMER
Workplace: Remote
MEMBER OF TECHNICAL STAFF
Location - San Francisco Bay Area (required)
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control.
ABOUT THE ROLE
We’re hiring a Member of Technical Staff to work with leading AI labs in San Francisco. We’re looking for someone with a background as a Strategic Solutions Architect or Engineer. You’re a technical subject-matter expert who can build relationships with Product and Engineering stakeholders and navigate a large AI lab.
You’ll lead relationships with top AI labs and serve as Supabase’s quarterback, driving the following engagement model:
1. Account Mapping and Relationship Building - Identify the key relationships Supabase needs to build across Product, Engineering, and Developer Relations teams at AI labs.
2. Lunch and Learns/Tech Talks/Technical Enablement - Lead onsite tech talks, lunch and learns, and technical enablement sessions to educate AI labs about Supabase and its roadmap.
3. Co-build (product integration): Build integrations and joint solutions in collaboration with Supabase’s Engineering, Product, and Design (EPD) organization.
4. Developer Relations (DevRel): Work with AI labs to create content—including blogs, docs, videos, and live streams—and run in-person community events and hackathons.
5. Quarterly Technical Reviews: Lead quarterly reviews with each lab to discuss highlights, adoption metrics, what’s working and what isn’t, key product initiatives, and alignment with technical resources.
As the Quarterback for the AI labs end-to-end — you’ll work from technical scoping and launch through post-launch growth — working closely with Product, Engineering, Marketing, Sales, Customer Success, and Data to ensure Supabase drives real business outcomes with top AI labs
This is a high-visibility senior IC role with direct impact on product adoption and ecosystem expansion.
- This is a build and scale member of technical staff role.
- You’ll be expected to operate with a lot of ownership and little process at the start.
- If you enjoy writing the playbook and running it in-market, this role will be a good fit.
WHAT WE’RE LOOKING FOR
- 8+ years of experience in technical roles as a Strategic Solutions Architect, Forward Deployed Engineer or Product Management
- Strong understanding of developer ecosystems and modern data / infra stacks
- Demonstrated experience shipping integrations and growing them post-launch
- Experience using AI and vibe coding tools in conjunction with Supabase
- Clear, concise communicator who can align Product, Engineering, Sales, Marketing, and Customer Success teams
- Highly organized operator who can build programs from scratch and iterate quickly
- Comfortable operating in ambiguity in a fast-moving, open-source-first environment
- Data-driven and outcome-oriented
- Startup experience is a plus
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
We are seeking a Senior Software Engineer, Data Platform to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization.
As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems.
You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team.
RESPONSIBILITES:
- Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems.
- Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure.
- Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists.
- Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness.
- Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems.
- Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows.
- Drive best practices for data architecture, pipeline design, governance, and platform usage across the company.
- Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows
QUALIFICATIONS:
- BS in Computer Science, Engineering, or equivalent experience
- 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems.
- Strong proficiency in Python and SQL. Java experience is nice to have.
- Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments.
- Hands-on experience with Snowflake and modern cloud data infrastructure.
- Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure.
- Experience with orchestration frameworks such as Airflow or Prefect.
- Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms.
- Ability to independently drive technical projects and own systems end to end with a high degree of autonomy.
- Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams.
- Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
УдалённоKorea
United States, Aliso Viejo, CA
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
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УдалённоPoland; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
УдалённоheadBuenos Aires, Argentina; Ciudad de México, Mexico; Bogotá, Colombia; Moscow, Russia; Belgrade, Serbia; Caracas, Venezuela, Bolivarian Republic of; Official employment under local labor law; contractor arrangements available for candidates from other countries
ОфисUK, London
ОфисUK, London
Poland (Remote)
УдалённоleadEurope
ГибридLondon, United Kingdom
ОфисseniorГеография найма не уточнена
УдалённоSerbia
УдалённоRemote, Bay Area, CA; Remote, San Francisco, CA; Remote, AMER
ОфисseniorГеография найма не уточнена
Все вакансии в одном месте - страница 38 · Job Hunters
