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About this role: TelQ Telecom is a globally recognized SMS quality assurance provider, established in 2016 — a small, profitable team building the SMS testing tool telecom teams worldwide actually trust. Now we’re looking for a marketer who runs with AI. 180+ countries covered 1,500+ live mobile networks 25+ team members 100M+ SMS tests delivered 7 Antonio Meucci Global Telco Awards since 2023 The role: You’ll own our new product ClickTerm — clickwrap software for capturing legally enforceable online consent. Every channel is yours to run, from SEO to paid to email, alongside our Lead Marketing Manager, with AI as your leverage across the full funnel. Key responsibilities: SEO & Content Strategy & research : Run keyword research and build a content plan tied to business goals Content creation : Write and edit blog posts, landing pages, and product pages On-page SEO: Optimize titles, meta descriptions, headings, URLs, image alt text, and internal links across the site Technical SEO : Run audits and fix page speed, mobile issues, crawlability, indexing, and schema/structured data Conversion rate optimization : Improve layout, copy, and CTAs to turn more traffic into signups Link building & crowd marketing : Build internal links and earn quality backlinks to grow domain authority. Build our presence on Reddit and niche communities AI search: Optimize content to get cited and surfaced in AI Overviews and AI assistants (ChatGPT, Perplexity, Gemini), not only classic search. Paid traffic Plan, set up, and manage campaigns across Google Ads, Meta, and LinkedIn (search, display, social, retargeting) Own the paid budget — decide how to split spend across channels and shift it toward what performs Run structured A/B tests on audiences, creatives, and offers, and scale the winners Set up conversion tracking and watch CAC, ROAS, and CPA to guide decisions. Social & Video Plan and run the content calendar across our key channels (e.g. LinkedIn, X, Facebook) Create and edit videos with AI tools — short-form for social plus instruction and demo videos that show people how the app works. Lifecycle marketing Build and own the core flows: welcome/onboarding, activation, nurture, and win- for inactive users Set up email (and push/in-app messages) with automation triggers and segments so the right message reaches the right user. AI & Automation Use AI across all your work — research, content, creative, analysis, and reporting Build your own automations and workflows to cut manual work (no-code tools like n8n/Zapier, plus light scripting where needed). Analytics Own tracking setup: GA4, events, UTMs, and conversion tracking Build clear dashboards and on channel performance Analyze the full funnel — from first visit to signup to active user. Skills and qualifications: 3+ years in growth, digital, or performance marketing — Range across channels matters more than tenure. Full-funnel hands-on skills — Real experience across SEO, paid, content, social, email, and CRO. AI is already core to how you work — Fluent use to research, create, edit, analyze, and automate. Hands-on with tools like Claude / ChatGPT for workflows. SEO & CRO know-how — On-page, technical, and content SEO, plus improving pages to convert more traffic into signups. Paid media experience — Can run and optimize Google, Meta, and LinkedIn campaigns against CAC, ROAS, and CPA. Video creation — Can script, produce, and edit short-form, demo, and instruction videos with AI tools. Familiar with the modern marketing stack — e.g. GA4 & Search Console, Ahrefs or Semrush, Google/Meta/LinkedIn Ads, Mailchimp, Mailjet or Mailgun, Looker Studio. Data-driven — Comfortable in GA4, UTMs, and reading a funnel end-to-end. Strong written English — Clear, simple copy that also translates well across markets. Startup-ready, owner mindset — You ship fast, set your own priorities, and don’t wait for a brief. Why you should work with us: Start-up environment, stable ground. Profitable, customer-loved, and still growing Your work ships, end-to-end. You own channels and see real impact AI-first, for real. You’ll have the freedom and tools to build a modern, automated marketing engine A small team that supports each other. Benefits: Flexible hours & remote work options Premium health insurance (family coverage) 25+ vacation days with fully covered medical leave Paid courses & certifications Top-notch equipment Small, friendly team environment To apply, send us: Your CV or LinkedIn (in English) A 3–5 line note: “One growth result you personally drove, and one AI workflow you built that changed how you work.” Portfolio / links (content, campaigns, videos, dashboards) Optional: “Which AI tools are in your daily stack?”

Location: Warsaw, Poland Freedom24 is a fast-growing international brokerage platform, part of Freedom Holding Corp. (NASDAQ: FRHC), a publicly traded multinational financial services group with a presence in more than 20 countries across Europe, Central Asia, and beyond. As the company continues to expand its regulated brokerage business across the European market, we are seeking an Country Director to lead our Warsaw, Poland office . Based in our Warsaw office, this role will oversee operational, regulatory, and public-facing functions while ensuring compliance with local regulatory requirements and supporting the company's continued growth in the Polish market. This is a classic operational and administrative leadership role. The ideal candidate combines strong operational management skills with a credible regulatory track record in the Polish or broader EU financial market and is comfortable acting as a public face of the company. Strategy & Operations Develop and execute the local business plan in line with the group's growth strategy Report on KPIs set by European headquarters, including operational milestones Contribute to strategic planning and long-term market positioning Manage the local operational budget and ensure cost efficiency Monitor and report on revenue, expenses, and key performance indicators Supervise implementation of operational workflows, client service processes, and local support systems Coordinate with headquarters to deploy IT and operational systems Ensure local operational readiness and scalability of systems Establish and optimize local banking and payment infrastructure Regulatory & Compliance Oversee the process of obtaining tied agent status with the Polish Financial Supervision Authority (KNF) Represent the company in official communications with KNF and other financial institutions Ensure full compliance with Polish and EU regulatory requirements, including AML/KYC, data protection, and client onboarding standards Coordinate with legal and compliance teams to implement local regulatory frameworks Ensure compliance with the group's policies, standards, and governance framework Public Relations & Communications Manage relationships with PR agencies, influencers, and media partners Represent the company in interviews, press events, and conferences to strengthen brand recognition and trust Ensure consistent brand messaging and alignment with corporate communication standards Supervise thought-leadership and media engagement initiatives to position the company as a leading investment platform locally Oversee localization of marketing and educational content in Polish Team & Culture Build and manage a competent local team aligned with corporate values Promote professionalism, integrity, and a culture of regulatory and operational excellence Ensure effective internal communication and collaboration across departments and with European headquarters Requirements Proven experience in administrative/operational management (COO-type profile) within an investment/brokerage company — sales leadership experience is not required and a more academic, governance-oriented background is preferred Prior regulatory approval experience in Poland or another EU jurisdiction — e.g., previously approved as a branch manager, tied agent director, or director of a company holding an investment firm license, a banking license, or a payment institution license Strong public presence: comfortable with media, conferences, and public speaking Fluent English

Location: Remote USA; Canada Workplace: remote ABOUT YOU We are looking for an accomplished Principal Machine Learning Engineer to join our global ML organization. In this role, you will drive innovation across our machine learning ecosystem, architect advanced ML solutions, and mentor junior ML engineers around the world. You will play a key part in shaping our technical direction—leading complex ML initiatives, elevating engineering standards, and guiding teams as they build scalable, production‑ready machine learning systems. If you are ambitious, energized by solving challenging technical problems, passionate about developing talent, and excited to influence the future of ML/AI in the video game industry, this could be the perfect role for you. 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. Requirements: Modeling Depth Advanced Degree in Statistics, machine learning or related areas. Experience in statistics/ML expertise with a track record of leading high-impact data science initiatives at scale of billions of transactions. Hands-on experience creating, training and fine-tuning models not just integrating hosted model APIs. You should be able to walk through  the data, the objective, what broke, and the before/after evaluation numbers, and why the model did not perform as expected. Experience owning models in production: deployment, monitoring, drift detection, retraining — with real latency budgets, not just research notebooks. Production experience with classical ML for fraud/anomaly detection, recommendation, or churn/LTV (gradient boosting, deep learning, graph-based models). Technology Familiarity Supervised learning, transfer leaning on machine learning as well as neural networks Basic LLM knowledge, especially how to use it and where not to use it. MLOps foundations: feature stores, experiment tracking, model registries (MLflow/W&B-class), continuous training pipelines. Model serving and inference optimization (vLLM-class serving, quantization). Nice-to-Have: Publications, conference talks, or recognized open-source contributions to training/eval tooling . Graph-based fraud detection (fraud rings, device/account linkage).. Gaming, payments,  fraud, advertising  domain experience. 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 and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each US 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.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Data Scientist position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Cyprus - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Czech Republic - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. As the leading collaborative work management platform, Wrike generates an enormous amount of rich, interconnected data, including work item content, relationships between entities, complex business processes, user interactions, and direct user input. The mission of the DS/ML department is to transform this data into intelligent, AI-powered capabilities that help users gain deeper insights, automate routine work, enhance productivity, and create a more seamless work experience. As a Data Scientist in the Work Intelligence Unit, you will play a key role in product development through the application of state-of-the-art AI and machine learning technologies with a particular focus on leveraging Large Language Models and other emerging technologies. You will work on both user-facing AI features and foundational intelligence platform that power intelligent experiences across the product. Your Impact: Creating new and improving existing AI solutions Involvement in the whole process of data-driven development from analyzing product requirements to launching the feature or system to production (with the help of MLOps specialists) and improving it based on results of monitoring and feedback Communicating with fellow data scientists, product owners, and developers Applying best software engineering practices to build a reliable codebase Performing code reviews Working in agile environment and presenting the results of your work on regular sprint reviews Your Qualifications: 4+ years of experience in AI,  Data Science, and Machine learning Experience in LLMs, LLM-based APIs, prompting techniques, metric-driven development of prompt-based features, agentic systems, and other related topics Experience in building complex multipart and multistep LLM-based and ML systems Proficiency in Python (including pure Python, and not only jupyter notebooks) Experience in using reproducible research techniques Experience in developing AI solutions for production usage Full professional proficiency in English Standout Qualities: Experience in AI and ML solutions related to one of the areas: social networks, recommendation systems, ranking, entity matching, process mining, system personalization, risk estimation Confident statistical and machine learning skills Experience in creating core AI systems that are foundational to the product and are used in many parts of it Experience in classical software development and architecture Interpersonal skills: Excellent interpersonal, written, and verbal communication skills required with the ability to work within all levels of an organization. You are proactively pushing yourself to develop your skills and knowledge Decision making and argumentation skills Open to feedback and ready to react on it Ability to work autonomously on a project level Our Work Style: Code: Python, Jupyter, mypy, uv, black, flake8 Data: pandas, SQL, BigQuery GenAI & LLMs: Langchain, Azure OpenAI, Gemini, Vertex AI, Braintrust LLM Platform: Versioned Prompt Registry(jinja2), Declarative LLM Feature Configs (multi-step workflows, model routing) ML: scikit-learn, lightgbm, pytorch Cloud: GCP, Dagster, MLFlow Coding Agents: Claude Code, Codex, Cursor Team Dynamics: As part of Wrike’s AI center of excellence — you will help scale AI feature development across teams by collaborating closely with product, engineering, design, research, and other departments across the organization. You will explore new AI-driven opportunities, validate hypotheses through experimentation, and drive innovations from research prototypes to production-ready capabilities that deliver tangible value to millions of users. Benefits & Perks: 5 Weeks of paid vacation Sick Leave Compensation 5 Paid Uncertified Sick Days 2 weeks fully paid w/ medical certificate, additional 4 weeks paid at 80% salary rate Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Meal Vouchers (CZK 220 per working day) Annual Prague Travel Card (Lítačka) Hybrid Working Model Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

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 Senior Autonomy Engineer focused on SLAM & Navigation to join our team. In this role, you will bridge the gap between classical spatial geometry and next-generation AI. You will lead the design and development of robust state estimation, long-term mapping, and localisation loops, with a specific focus on integrating modern machine learning techniques and foundation geometry models into our core navigation stack. Your work will ensure our robots possess rock-solid spatial awareness and execute highly reliable trajectories over extended deployments in complex, real-world environments. WHAT YOU'LL DO - Design and scale robust SLAM pipelines that maintain highly accurate localisation and state estimation across dynamic physical spaces. - Integrate foundation geometry models and modern ML techniques into the localisation loop to enhance traditional spatial tracking, data association, and visual odometry. - Architect and maintain robust long-term mapping systems that enable robots to autonomously update, manage, and scale spatial maps across changing environments over time. - Build and scale auto-labeling data pipelines that leverage foundation geometry models to generate high-fidelity spatial ground truth for downstream ML training. - Bridge classical geometry with deep learning architectures, building hybrid systems that map raw sensor data into globally consistent metric trajectories. - Deploy and benchmark spatial AI software directly on physical robot hardware, ensuring deterministic, ultra-low latency execution on edge compute. - Translate cutting-edge spatial AI research into production reality, continuously evaluating breakthroughs in geometric learning to guide our navigation roadmap. WHAT WE'RE LOOKING FOR - Deep expertise in classical SLAM and multi-view geometry, including extensive hands-on experience with state estimation, visual/LiDAR odometry, and multi-sensor fusion. - Experience handling backend map optimization and solving the unique structural challenges associated with long-term mapping in large or changing physical environments. - Practical experience applying modern ML to geometric problems, with exposure to utilizing or adapting newer foundation geometry models. - Proven ability to build scalable data pipelines or auto-labeling workflows tailored for geometric and spatial datasets. - Proficiency in C++ and Python, with a track record of writing clean, highly parallelized, production-grade algorithmic code. - Hands-on experience deploying navigation systems on physical hardware, with a deep understanding of the practical edge constraints of real-world robotics. - A research-to-production mindset, capable of tearing through the latest CVPR/ICRA papers and figuring out exactly how to make those models run with bulletproof reliability. 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: New York, NY Workplace: OnSite We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to candidates based near our NYC office or those willing to relocate. Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring our video-native foundation models onto real hardware: deploying world-model-based policies on real robots and making them work in the real world. You will work across the full stack of robot learning — from data collection and task design, to policy deployment, to physical evaluation. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You'll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics. WHAT YOU’LL DO - Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits - Diagnose real-world policy failures — determining whether the problem is data coverage, camera/proprioception mismatch, or execution — and partner with the research team to fix it at the right layer - Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from — working with our existing teleop and lab infrastructure - Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates - Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations - Adapt our policy recipe to partner hardware and new embodiments WHAT YOU’LL NEED - You have personally deployed software on real robot hardware and iterated to make it work — whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it. - Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior - Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon - Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Guildford Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Level Designer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Build white box versions of areas after consulting with all relevant parties Handoff areas to environment art, scripting, combat and cinematics while helping them elevate the experience Finalize areas for shipping Understand the role an area plays in the composition of the game experience, based on the narrative and design/creative directors briefing Know and apply all features and mechanics that are available to the player for exploration Reserve space for features that are in development but not available yet Be ready to throw away everything you made and start from scratch with a new perspective obtained through previous iterations Fix level design related bugs in your own or other peoples' areas Make sure the level is always playable and ready to go Requirements A design relevant degree Proven commercial experience in video game level design Ability to work well as part of a distributed, international team An extremely positive can do attitude Ability to give and receive feedback The ability to efficiently communicate designs through 2D mockups or flowcharts Ability to experience the game as a player An RPG gamer with a passion for narrative-driven games This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity Nice to Haves A background or degree in: Industrial Design, Architecture, Classical Art or Interaction Design What we offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: Metro Manila; Armenia; Kazakhstan; Georgia Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll own ML models across credit scoring, collection, and antifraud, turning data into systems that directly shape how Salmon lends and collects at scale. What you'll do: - You'll build and ship ML models across credit scoring, collection, antifraud, and sales — high-stakes, high-visibility work from day one. - You'll work directly with Collection, Product, and other cross-functional teams to find where a better model moves the business. - You'll take models from idea to production, then keep monitoring and improving them as real data comes in. What you'll own: - Own the end-to-end lifecycle of ML models — EDA, feature generation, hypothesis testing, production deployment, and monitoring. - Partner with Collection and Product to identify where a new or improved model would have the most leverage. - Evaluate model performance against business impact, and iterate based on what you find. - Explore and integrate new data sources, internal and external, to surface additional predictive signals. - Build models that are scalable, observable, and maintainable in production systems. What makes you a strong fit: - 2+ years of experience as a Machine Learning Engineer or Data Scientist, ideally in fintech or fast-paced product environments. - Solid foundation in classical ML techniques, fluent in Pandas, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Statsmodels, and gradient boosting libraries (XGBoost, LightGBM, CatBoost). - Strong Python and SQL, with experience using version control. - A strong sense of ownership and accountability. - Experience with graph neural networks or transformer models would be a plus. What we offer: Ownership and flexibility - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are seeking a skilled & hands-on Senior Security Architect for Kraken Security Labs. Kraken Security Labs provides boutique-style, deeply technical internal security consulting on current and future products. We don't merely provide high-level guidance but indeed get deeply embedded in the different engineering teams and do not mind hands-on work. Our projects span from classical infrastructure security projects, over cryptography, web3, and complex Rust projects, to securing our next generation of AI products. You will work in a small, highly technical team and collaborate with teams all across the company & world.   THE OPPORTUNITY - Design, review & verify robust security architecture in a heterogeneous environment - Conduct thorough security assessments and audits of existing architectures, recommending practical improvements - Stay updated with latest (blockchain) security trends, threats and mitigation techniques - Provide expertise to our blockchain teams, ensuring secure operational practices   WHAT YOU BRING - Proven experience as an IT security expert, with a strong background in application security - Experience in security testing diverse application - Experience with infrastructure security - Basic familiarity with security frameworks (OWASP, NIST, etc) - Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment - Strong communication and collaboration skills to effectively remotely work with stakeholders across the organization Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are seeking a skilled & hands-on Senior Security Architect for Kraken Security Labs. Kraken Security Labs provides boutique-style, deeply technical internal security consulting on current and future products. We don't merely provide high-level guidance but indeed get deeply embedded in the different engineering teams and do not mind hands-on work. Our projects span from classical infrastructure security projects, over cryptography, web3, and complex Rust projects, to securing our next generation of AI products. You will work in a small, highly technical team and collaborate with teams all across the company & world.   THE OPPORTUNITY - Design, review & verify robust security architecture in a heterogeneous environment - Conduct thorough security assessments and audits of existing architectures, recommending practical improvements - Stay updated with latest (blockchain) security trends, threats and mitigation techniques - Provide expertise to our blockchain teams, ensuring secure operational practices   WHAT YOU BRING - Proven experience as an IT security expert, with a strong background in application security - Experience in security testing diverse application - Experience with infrastructure security - Basic familiarity with security frameworks (OWASP, NIST, etc) - Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment - Strong communication and collaboration skills to effectively remotely work with stakeholders across the organization Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Colombia; Brazil; Argentina Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: European Union Workplace: Remote About the Role Playson is on the lookout for an exceptional Senior 2D Artist to transform our gaming visions into stunning realities. Key Responsibilities - Participate in mood boards, brainstorming sessions, and market trend analysis to spark new projects. Our innovative projects ensure your work remains fresh and exciting - Design game symbols, characters, and promotional materials, ensuring our art leads the market - Refine and perfect artwork based on team and stakeholder feedback. The inspiring environment means our games set trends that others follow - Prepare 2D artworks for animation, ensuring smooth transitions from static images to dynamic visuals - Be an active part of the Playson Art Community, sharing ideas and inspiration. We encourage continuous growth through access to the latest tools, courses, and training for your professional development - Grow not just visual quality, but also product thinking that directly supports business impact Requirements - Over 5 years as a professional 2D Artist in the slots game industry - Proficiency with Photoshop and similar raster graphics applications, experience with 3d as a bonus - Strong understanding of colour theory, composition, lighting, anatomy, and diverse art styles. Classical art education is a plus, as it provides a solid foundation in these principles - Take charge of your creative process and work closely with like-minded professionals. Your skills in conceptualising and creating captivating visuals will be key to our projects, allowing you to make a significant impact - We value senior employees who bring solutions, communicate effectively, and engage in candid discussions, maintaining transparency and a positive team atmosphere - Excellent collaboration skills, providing and receiving constructive feedback. Our open and proactive culture means we're always ready for new ideas and changes - As a senior artist, you’ll not just execute tasks but own the process, bringing a product-focused approach to all your work. You'll have the opportunity to hear the continuous feedback from domain experts   and convert it into a strong product What we Offer - Benefit from a transparent and systematic quarterly bonus system - We offer a flexible work schedule to accommodate your needs - Choose to work remotely, providing greater flexibility and comfort - Enjoy unlimited paid vacation leave, including bank holidays - Take unlimited paid sick leave whenever necessary - Get reimbursement for professional development courses and training. We provide access to the latest tools and training for continuous growth Recruitment Process - Portfolio review. Applications without a portfolio will not be considered for further steps - HR Interview - Take home task - Final interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux is transforming the Linux infrastructure market by ensuring security and stability for over 500,000 servers worldwide. Our products - CloudLinux OS and Imunify360 - are the de facto standard in the hosting industry and Enterprise segment. We are seeking a visionary engineer to lead the evolution of our data platform. In 2025, we are shifting from classic database administration to an Internal Database-as-a-Service (DBaaS) model. We need a specialist who doesn’t just "configure backups," but designs resilient distributed systems, writes code to automate infrastructure, and transforms databases into a reliable service for product teams. If you are tired of endless tickets and want to build platforms capable of processing petabytes of data, this role is for you. Your Challenges & Responsibilities: DBaaS Architecture: Design and implement a self-service platform based on Terraform and Ansible , enabling the deployment of HA clusters (PostgreSQL and ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal + OpenNebula + Kubernetes + Public Clouds). You will turn infrastructure into a product. Scaling ClickHouse: Manage exponentially growing analytics clusters (12+ clusters, tens of terabytes of data). You will tackle sharding, table engine optimization (ReplicatedMergeTree), and building reliable S3 backup pipelines under high load. Data Platform & Analytics Support: Maintain and scale the infrastructure for Apache Airflow and Redash. You will ensure the reliability of ETL pipelines and visualization tools, bridging the gap between raw infrastructure and the data analytics team. Reliability as Code: Implement SRE practices in data management. Replace manual incident response with automated self-healing mechanisms. Define and implement SLO/SLI for all databases. Stack Modernization: Lead the migration process from legacy solutions to modern cloud patterns. Participate in decision-making regarding the implementation of Kubernetes operators for stateful workloads. Expertise & Mentorship: Serve as the technical authority for product teams, helping them optimize data schemas and SQL queries for high-load systems. Our Tech Stack: Databases : PostgreSQL 15+ (Patroni, PgBouncer), ClickHouse (Sharded/Replicated), MongoDB, Redis, Kafka Data & Analytics: Apache Airflow, Redash (Infrastructure & Integration). Infrastructure: Own 3+DC colocation (OpenNebula, Kubernetes, Bare Metal), AWS, Google Cloud, Azure, DO – Hybrid Cloud. Automation & IaC: Terraform, Ansible, Python/Go, GitLab, Jenkins, Gerrit. Observability : VictoriaMetrics, Grafana, Loki. Why CloudLinux? Culture: A Remote-first company with an "Employees First" principle. We value results, not hours in the office. Impact: Your architectural decisions will determine the stability of services used by thousands of companies around the world. Growth: We support professional development and pay for training and conferences. Requirements What We Expect From You: AI-Augmented Engineering: You don't view AI as a replacement for deep technical fundamentals, but as a high-leverage tool. We actively use AI agents (Claude, Codex, Gemini, etc.) to automate boilerplate, analyze complex logs, and speed up research. We expect you to be open to modern workflows and integrate AI into your day-to-day operations, allowing you to focus your brainpower on the true architectural challenges. Deep PostgreSQL Expertise (5+ years): You know MVCC internals, understand locking mechanics, can configure Patroni and PgBouncer "with your eyes closed," and have experience with seamless major version upgrades under load. ClickHouse Mastery: Experience operating large clusters, understanding ZooKeeper/ClickHouse Keeper, sharding, replication internals, and the ability to diagnose performance issues at the data-part level. Engineering Mindset (SRE/DevOps): You hate doing the same task twice by hand. Experience writing complex Terraform modules and Ansible roles is mandatory. Programming skills in Python or Go for automation are a huge plus. Hybrid Environment Experience: You understand the differences between running DBs on Bare Metal vs. Kubernetes vs. Cloud and know how to optimize TCO and disk subsystem performance (NVMe, Network Storage). Systems Approach: You see the big picture - from the network packet to the application business logic. You understand the importance of security (FIPS, Audit logs) and Disaster Recovery. English: upper-intermediate or higher - to ensure clear communication of progress within the teams Nice to Have: Experience building an Internal Developer Platform (IDP). Experience operating databases in Kubernetes (CloudNativePG, Altinity Operator). Experience working in Cloud and Hosting providers on similar services. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: Morocco We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English and Arabic (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there. About the role 🤓 Finance at SeQura has evolved to building the infrastructure that powers forward-looking, insight-driven decisions. We are looking for builders, not classic FP&A profiles: people who have worked hands-on with AI tools, structured real databases, understand the business deeply, and get energy from turning messy manual processes into clean, automated ones. If you are excited by the idea of building an AI-first finance data platform for forecasting, planning, reporting, and decision-making, this role is for you. What challenges you'll be solving 🚀 Build the financial data backbone of SeQura. Help design, build, and maintain the single source of financial truth across P&L, cash flow, balance sheet, and unit economics; the data layer that everything else relies on. Build tools, not reports. Use AI (Claude), automation, and our data stack to create the models, pipelines, and tools that replace manual work and make insight available in real time. Proactively find and kill inefficiency. Proactively hunt down slow, manual, or fragile processes and re-engineer them. Own the problem end to end from spotting it to shipping the fix that sticks. Partner with the business. Work as a true finance partner through budgeting, forecasting, variance analysis, scenario planning, but with the goal of building the systems that make this faster and sharper every cycle. Move to continuous, driver-based planning. Help shift to rolling, driver-based forecasts and dynamic scenario analysis, powered by the infrastructure you build. Turn data into decisions. Prepare Board-, leadership-, and investor-ready materials that turn complex data into clear recommendations and build the tooling that makes producing them near-automatic. Raise the bar on the stack. Drive adoption of our finance and analytics tools (AI, Abacum, BI, automation, anomaly detection) to improve scalability, reduce manual work, and increase trust in analytics. Proactively identifying opportunities to automate before being asked to do so. Help build a real-time decision engine. Contribute to a Strategic Finance function that runs on ownership, automation, and analytical rigor, not manual reporting. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Professional development workshops or seminars. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and Adeslas. Urban mobility by using your own bike with Kleta. Free access to healthy, organic, and sustainable fruits. Moreover, we offer a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include various activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. What you’ll need 🤝 Genuinely curious and relentless; someone who actively questions existing processes, experiments with new tools (including AI), and has a track record of finding better ways to do things without being asked. We're not looking for someone who waits for permission to improve. Bachelor’s degree in Finance, Accounting, Economics, Engineering, or a related field. 3+ years of experience in FP&A, Strategic Finance, or a similarly analytical role in a high-growth fintech, SaaS, lending, or other complex environment. Proven ability to build and run driver-based financial models across P&L, cash flow, balance sheet, and unit economics. Strong bias for action, with the ability to turn ambiguity into clear structure, decisions, and adopted solutions. Systems thinker with strong analytical rigor and attention to detail. Excellent communication and stakeholder-management skills, with the ability to translate complexity into clear business insight. Active use of AI tools in day-to-day work, not just awareness, but genuine integration into how you work. Someone who has already replaced manual tasks with automation and who keeps looking for the next one. Strong Excel and financial systems skills; experience with NetSuite, Abacum, and Embat is a plus. Fluent in English; Spanish is a strong plus. We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or other characteristics. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us! 👇

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms. Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality. Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces. Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company. Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation. Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows. Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution. We'd love to hear from you if you have: 4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale. A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team. Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products. Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows. A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments. While not required, it’s an added plus if you also have: Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you. Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular for AI products and features. Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling. A track record designing company-wide observability standards, shared libraries, and agent or operator-based integrations. Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation. Experience scaling and mentoring high-performing teams through platform expansion or major architectural change. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.