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Location: Remote, Poland GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer in GitLab's Performance Enablement group, you'll define and build the self-serve platform that lets GitLab engineering teams own their performance. You'll give internal teams the tooling and guidance to run performance tests, analyze results, track trends, and meet their own performance requirements throughout the development lifecycle. We're a platform, not a consulting service: we build capabilities that teams use independently to deliver a reliable, performant GitLab to customers. In this hands-on technical leadership role, you'll work with the Engineering Manager to shape a multi-quarter vision and roadmap, bringing your performance engineering expertise to influence teams across research and development (R&D). Some examples of our projects in Performance Enablement : Building reusable component-level testing, load testing, performance analysis, trend visibility, and artificial intelligence (AI)-assisted engineering skills Enabling teams to test performance throughout the development lifecycle, from local development and continuous integration (CI) workflows through pre-release validation, including modular feature teams' own workflows What you’ll do Define the team's technical vision and multi-quarter roadmap with the Engineering Manager, identify opportunities for impact across R&D, and advocate for technical priorities with stakeholders. Design and build reusable platform capabilities for performance testing, analysis, reporting, and trend visibility, solving complex technical problems and shipping large capabilities with minimal guidance. Turn lessons from early team engagements into reusable capabilities, documentation, and onboarding, measured by each new team needing less hands-on support than the last until teams can adopt the platform and manage their performance independently. Coordinate with peer teams across Developer Experience, Infrastructure Platforms, and product groups to align priorities and timing. Lead AI-first development practices in how we build and what we ship, including AI skills and agent-assisted performance workflows. Mentor engineers in performance engineering, platform design, and technical decision-making. Serve as a performance expert for other teams and provide technical guidance on initiatives spanning multiple groups. Take part in on-call or operational support where your team's ownership model requires it. What you’ll bring Staff-level backend or platform engineering experience, including setting technical direction across a team and the teams around it. A track record of building and operating performance testing and analysis systems, with an understanding of where bottlenecks appear and how to find them. Experience leading or anchoring a performance enablement or platform function and achieving measurable adoption of internal tooling by influencing engineers and leaders who don't report to you. Experience defining and delivering a multi-quarter technical strategy or roadmap with engineering leadership. An AI-first development mindset demonstrated across the software lifecycle, including shaping how a team uses AI. Hands-on experience with load and performance testing tools such as k6 or equivalent, Kubernetes, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure. Clear written, asynchronous communication, including explaining performance trade-offs to engineers and leadership. About the team Performance Enablement is part of Platform Enablement within Developer Experience and Infrastructure Platforms. We work asynchronously and collaborate broadly across R&D, coordinating with peer platform and product groups. Documentation, onboarding, and feedback loops help us turn early team engagements into capabilities that scale beyond individual teams. Poland base salary range: zł 328,000 - zł 492,000 The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Barcelona, Spain; Warsaw, Poland; Limassol, Cyprus Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE* , we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. About the Role We are looking for a detail-oriented Accounting Specialist to join our Finance team. In this role, you will be responsible for bank reconciliations, processing supplier invoices, resolving discrepancies, and supporting month-end closing activities. You'll help ensure accurate financial records and smooth day-to-day accounting operations. Key Responsibilities Bank reconciliation Import bank statements and reconcile all company bank accounts to the general ledger on a daily or weekly basis. Investigate and resolve unmatched transactions, suspense items and discrepancies, posting corrections with proper support. Monitor ageing of open items and escalate anything unresolved after 10 days. Accounts payable and invoice processing Receive supplier invoices from all channels and register them accurately in the ERP. Check each invoice for correct legal entity, VAT details, amounts, bank details and potential duplicates. Route invoices to budget holders for approval and follow up on delayed approvals. Reconcile supplier statements and resolve differences. Respond promptly and professionally to supplier queries on invoices and payments. Month-end procedure Support the month-end close with AP accruals, reconciliations and schedules. Provide documentation for internal and external audits. Requirements Degree in accounting, finance or economics (completed or currently in progress), or an equivalent professional qualification. At least 1.5 years of experience in bank reconciliation, accounts payable or general accounting. Solid understanding of double-entry bookkeeping, VAT and invoice compliance rules. Hands-on experience with an ERP or accounting system. Exceptional attention to detail and a persistent, analytical approach to resolving discrepancies. Ability to manage a high volume of transactions and meet deadlines. Fluent in English and Russian (proficiency in additional languages is considered an asset). What We Offer Opportunity to shape the future of fintech solutions within a growing company. A collaborative and supportive team environment. English / Spanish classes. Opportunity to receive reimbursement for work-related training/courses. * This position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

Location: Poland Workplace: fully About Us We are a recruitment agency specializing in fintech and iGaming. We help international companies find and hire strong professionals across Europe and beyond, offering both recruitment and staffing services. Role Overview Take ownership of the automation stack and turn manual processes into reliable workflows used every day. You will work across n8n, PostgreSQL, JavaScript and AI integrations, with the scope to improve existing systems and build new solutions. The work involves Docker and Git, and close collaboration with skilled colleagues across the business. Key Responsibilities Build and improve n8n workflows connecting recruitment, sales and finance tools. Design PostgreSQL tables and views, write reporting queries and maintain consistent data across systems. Write JavaScript in n8n Code nodes for data transformation, API calls and custom logic. Build AI-powered steps for candidate scoring, data enrichment and text generation, including prompt design and model cost control. Integrate tools through REST APIs and webhooks, and adapt integrations when vendor APIs change. Monitor workflow runs, investigate failures and resolve root causes. Gather requests from recruiters, team leads and finance, then deliver working solutions. Document workflows, the data model and key technical decisions. Requirements Proven experience automating business processes used daily by non-technical teams. Hands-on experience building and maintaining production workflows in n8n. PostgreSQL skills in schema and view design, complex SQL reporting and data synchronisation. Working knowledge of JavaScript for data processing and API integrations. Experience integrating LLM APIs, such as OpenAI, into business workflows, including prompt design. Practical knowledge of REST APIs, webhooks and authentication methods, including OAuth and API keys. Git, Docker and basic Linux server administration are a plus. Languages: English B2, Russian C1. Key Soft Skills Independence, ownership and accountability. A structured approach and attention to detail. Clear communication with non-technical users. Analytical thinking and pragmatic problem-solving. What We Offer Competitive salary aligned with experience. Collaborative and transparent team culture. Recognition of personal milestones and achievements.

Location: Warsaw, Poland Your Responsibilities: Supervision of investments in the electrical industry, Oversight of work execution, including aspects related to on-site safety, Ensuring compliance of project implementation with design documentation and building permits, Quality control of completed electrical works, Ongoing cooperation with the investor's representatives, Participation in preparing requests for proposals (RFPs), Review of technical documentation related to electrical installations, Troubleshooting technical issues, Approval of work progress reports, Optimization of project solutions within the electrical scope, Cooperation with other company departments, Participation in coordination and technical meetings. Our Requirements: Higher education in electrical engineering, power engineering, or related fields, Unlimited building license in the field of electrical installations (execution), Good command of English (minimum B2 level) - nice to have, Proficiency in design software (e.g., AutoCAD; EPLAN is a plus), Experience with projects utilizing 3D models is a plus, Experience in a similar role on industrial facility projects, Teamwork and strong communication skills, Accuracy, responsibility, and independence, Willingness to travel for business purposes.

Location: Paris, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Lima, Peru; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; A Coruña, Spain; Aachen, Germany; Aalborg, Denmark; Aarhus, Denmark; Aberdeen, United Kingdom; Alanya, Türkiye; Algarve, Portugal; Loulé, Portugal; Alicante, Spain; Andijan, Uzbekistan; Amstetten, Austria; Ankara, Türkiye; Almería, Spain; Antalya, Türkiye; Antipolo, Philippines; Ariana, Tunisia; Aracaju, Brazil; Antwerp, Belgium; Arequipa, Peru; Asenovgrad, Bulgaria; Ashgabat, Turkmenistan; Asunción, Paraguay; Auckland, New Zealand; Augsburg, Germany; Austin, United States; Amadora, Portugal; Almaty, Kazakhstan; Alajuela, Costa Rica; Badajoz, Spain; Badgastein, Austria; Bamberg, Germany; Basel, Switzerland; Batumi, Georgia; Batam, Indonesia; Bedford, United Kingdom; Belgrade, Serbia; Bengaluru, India; Bern, Switzerland; Birmingham, United Kingdom; Bordeaux, France; Bologna, Italy; Braga, Portugal; Brașov, Romania; Bray, Ireland; Brixen, Italy; Seoul, South Korea; Bydgoszcz, Poland; Caen, France; Čačak, Serbia; Caieiras, Brazil; Cairo, Egypt; Campinas, Brazil; Carapicuiba, Brazil; Capiatá, Paraguay; Cascais, Portugal; Catania, Italy; Cebu City, Philippines; Celje, Slovenia; Cardiff, United Kingdom; České Budějovice, Czechia; Chelyabinsk, Russia; Chiclayo, Peru; Chișinău, Moldova; Christchurch, New Zealand; Cookstown, United Kingdom; Conlig, United Kingdom; Córdoba, Argentina; Cork, Ireland; Cotia, Brazil; Craiova, Romania; Crete, Greece; Cusco, Peru; Daegu, South Korea; Damascus, Syria; Darmstadt, Germany; Debrecen, Hungary; Derby, United Kingdom; Dubai, United Arab Emirates; Dublin, Ireland; Düsseldorf, Germany; Edirne, Türkiye; Edinburgh, United Kingdom; Eindhoven, Netherlands; Eisenstadt, Austria; Essen, Germany; Faro, Portugal; Frankfurt, Germany; Fortaleza, Brazil; Freiburg, Germany; Gdańsk, Poland; Gebele, Azerbaijan; Gaziantep, Türkiye; Ganja, Azerbaijan; Geneva, Switzerland; George Town, Malaysia; Gothenburg, Sweden; Goiânia, Brazil; Glasgow, United Kingdom; Graz, Austria; Girona, Spain; Gurugram, India; Gyumri, Armenia; Hamilton, New Zealand; Haiphong, Vietnam; Hamburg, Germany; Île-de-France, France; Innsbruck, Austria; Ingolstadt, Germany; Johannesburg, South Africa; Kandy, Sri Lanka; Kano, Nigeria; Karpacz, Poland; Kardzali, Bulgaria; Karachi, Pakistan; Kaunas, Lithuania; Katowice, Poland; Kerpen, Germany; Khon Kaen, Thailand; Kičevo, North Macedonia; Klagenfurt am Wörthersee, Austria; Konak, Türkiye; Klang, Malaysia; Konya, Türkiye; Kraljevo, Serbia; Kragujevac, Serbia; Krasnoyarsk, Russia; Krasnodar, Russia; Krushevo, North Macedonia; Ksamil, Albania; Kyiv, Ukraine; Kumanovo, North Macedonia; Kufstein, Austria; Kutaisi, Georgia; Kyustendil, Bulgaria; La Chorrera, Panama; La Plata, Argentina; Larissa, Greece; Larnaca, Cyprus; Lankaran, Azerbaijan; Leeds, United Kingdom; Nicosia, Cyprus; Lefke, Cyprus; Leicester, United Kingdom; Leibnitz, Austria; Leoben, Austria; Leon, Mexico; Limbourg, Belgium; Liepāja, Latvia; Limerick, Ireland; Linz, Austria; Liverpool, United Kingdom; Ljubljana, Slovenia; Łódź, Poland; Luang Prabang, Laos; Madrid, Spain; Maceió, Brazil; Maastricht, Netherlands; Lyon, France; Lviv, Ukraine; Malacca, Malaysia; Málaga, Spain; Manaus, Brazil; Manchester, United Kingdom; Manila, Philippines; Maracaibo, Venezuela; Marbella, Spain; Maribor, Slovenia; Marrakech, Morocco; Marseille, France; Medellín, Colombia; Melbourne, Australia; Milpitas, United States; Metropolitan City of Naples, Italy; Miskolc, Hungary; Monaghan, Ireland; Mumbai, India; Munich, Germany; Nairobi, Kenya; Namangan, Uzbekistan; Newcastle upon Tyne, United Kingdom; New York, United States; New Taipei City, Taiwan; Nice, France; Niš, Serbia; Novosibirsk, Russia; Nyíregyháza, Hungary; Oeiras, Portugal; Ohrid, North Macedonia; Ostrava, Czechia; Osaka, Japan; Omsk, Russia; Panama City, Panama; Palermo, Italy; Paphos, Cyprus; Pasto, Colombia; Passau, Germany; Patras, Greece; Pattaya City, Thailand; Pécs, Hungary; Pereira, Colombia; Petaling Jaya, Malaysia; Pforzheim, Germany; Phoenix, United States; Phu Quoc, Vietnam; Phuket, Thailand; Pilsen, Czechia; Porto, Portugal; Porto Alegre, Brazil; Plovdiv, Bulgaria; Poznań, Poland; Prague, Czechia; Pristina, Kosovo; Quezon City, Philippines; Puente Alto, Chile; Rangpur, Bangladesh; Rawalpindi, Pakistan; Recife, Brazil; Regensburg, Germany; Rennes, France; Reus, Spain; Riga, Latvia; Rosenheim, Germany; Rotterdam, Netherlands; Ruhr, Germany; Saint Pölten, Austria; Saint-Étienne, France; Saint-Tropez, France; Shanghai, China; Sheffield, United Kingdom; Shenzhen, China; Sibiu, Romania; Sidon, Lebanon; Sintra, Portugal; Sofia, Bulgaria; Stara Zagora, Bulgaria; Strumica, North Macedonia; Stuttgart, Germany; Suzano, Brazil; Sveta Nedelja, Croatia; Swansea, United Kingdom; Sydney, Australia; Taichung City, Taiwan; Taipei City, Taiwan; Tainan City, Taiwan; Tartu, Estonia; Taoyuan City, Taiwan; Tbilisi, Georgia; Tel Aviv-Yafo, Israel; Tehran, Iran; The Hague, Netherlands; Thun, Switzerland; Tirana, Albania; Tokyo, Japan; Tijuana, Mexico; Toulouse, France; Tripoli, Lebanon; Trujillo, Peru; Turin, Italy; Ulm, Germany; Utrecht, Netherlands; Valencia, Spain; Valletta, Malta; Venice, Italy; Verona, Italy; Vienna, Austria; Vilnius, Lithuania; Vĩnh Phúc, Vietnam; Washington, United States; Wiesbaden, Germany; Würzburg, Germany; Xi'An, China; Yerevan, Armenia; Yokohama, Japan; Zagreb, Croatia; Zadar, Croatia; Zaragoza, Spain; Zürich, Switzerland; Brno, Czechia; Adelaide, Australia; Baku, Azerbaijan; Belfast, United Kingdom; Bergen, Norway; Birkirkara, Malta; Bratislava, Slovakia; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Constanța, Romania; Coventry, United Kingdom; Daugavpils, Latvia; Dnipro, Ukraine; Dresden, Germany; Galway, Ireland; Genoa, Italy; Ghent, Belgium; Hanover, Germany; Helsinki, Finland; Heraklion, Greece; Iași, Romania; İstanbul, Türkiye; Kazan, Russia; Kharkiv, Ukraine; Košice, Slovakia; Leipzig, Germany; Lille, France; Malmö, Sweden; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Nizhny Novgorod, Russia; Novi Sad, Serbia; Nuremberg, Germany; Pljevlja, Montenegro; Podgorica, Montenegro; Saint Petersburg, Russia; Salzburg, Austria; Samara, Russia; San Marino; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Skopje, North Macedonia; Sliema, Malta; Abu Dhabi, United Arab Emirates; Alexandria, Egypt; Avignon, France; Bắc Ninh, Vietnam; Baghdad, Iraq; Bali, Indonesia; Bangkok, Thailand; Bangor, United Kingdom; Barranquilla, Colombia; Bayreuth, Germany; Beijing, China; Beirut, Lebanon; Belém, Brazil; Benin City, Nigeria; Binh Duong, Vietnam; Boston, United States; Newport, United Kingdom; Los Angeles, United States; San Francisco, United States Workplace: fully David Kennedy Recruitment is working with a fast-growing AI technology company behind an AI companionship platform that is seeking to onboard a Mid/Senior AI Cinematic Video Creator to join their team. The successful candidate will be deeply embedded in generative video workflows, independently creating high-quality, narrative-driven long-form content from concept to final output using AI-first pipelines. The content includes explicit adult material, so candidates must be fully comfortable working with it. Location: Worldwide, Remote Employment type: B2B contract Remuneration: Competitive salary dependent on experience DUTIES AND RESPONSIBILITIES: Conceptualise scripts based on current production needs, centered on the company’s existing AI characters Create narrative-driven long-form video content, including stylised and explicit NSFW visuals, with a strong focus on storytelling, atmosphere and visual coherence Own end-to-end AI video production, from ideation and prompting through generation, editing and post-production Build, customise and optimise node-based ComfyUI workflows for image and video generation Use tools such as Stable Diffusion (AUTOMATIC1111), ComfyUI, Runway and other AI video platforms to produce high-quality sequences Maintain consistent character appearance, style and scene continuity across longer narratives Integrate motion graphics and colour correction to deliver cohesive final outputs Experiment quickly with new AI models and techniques, and share skills with the team Follow the Content Lead’s creative direction while keeping a high degree of autonomy in execution and technical decisions Continuously refine workflows for efficiency, scalability and output quality REQUIREMENTS: 4–6+ years of experience in video production, VFX or digital art, with a strong portfolio that includes AI-driven video work Proven experience with ComfyUI, including building and managing complex node-based workflows Strong proficiency in Stable Diffusion / AUTOMATIC1111, including advanced prompting, trained LoRAs, refining, upscaling and inpainting Hands-on experience with the latest AI video tools and models (e.g. Kling, Seedance, Happy Horse) Solid understanding of AI image and video generation pipelines, including prompting, batching, consistency techniques and post-processing Experience with Premiere Pro, After Effects or similar for final assembly and polish Strong grasp of visual storytelling, pacing, composition and cinematic language Ability to keep character and scene consistency across AI-generated sequences High ownership, an experimental mindset and fast iteration cycles Fluent English and strong communication skills Fully comfortable working with uncensored models and explicit adult content Advantages Experience in AI-native storytelling or filmmaking Background in 3D, VFX, technical art or colour grading Familiarity with training and customising models (LoRAs, embeddings, fine-tuning) Prior experience in adult, dating or adjacent creative industries BENEFITS: Fully remote working from Europe B2B contract preferred, full-time Opportunity to own safety in a new, high-impact role on a product with 50M+ users And many more!!!

Location: Poland; Romania; Bulgaria; Serbia Workplace: Remote We are B2Spin, and we are dedicated to delivering the best Free-to-Play Social Casino and gaming experiences by creating captivating, engaging, and unique products that are accessible to everyone. We have built a team of talented professionals from all over the globe, who are working to continually improve the experiences of our players. We are not looking to just be part of the industry, but to revolutionize it. The role B2Spin is looking for a Data Science Manager to lead and grow our data science team across product, marketing, performance, and beyond. Reporting to the Head of Data, you'll set the quality bar for modelling and experimentation, translate business needs into clear team priorities, and act as the connective tissue between data scientists and the stakeholders who depend on their work. This is a role for someone who is genuinely hands-on, cares deeply about craft, and knows how to bring out the best in the people around them. What you'll do - Own the team's output across verticals — partner with the Head of Data to shape and prioritise the roadmap so data science work stays tightly aligned with business goals. - Bridge data science and the business — translate stakeholder needs into team priorities, manage expectations proactively, and communicate trade-offs and results in terms that land with non-technical audiences. - Raise and hold the quality bar — review modelling approaches, experimental design, and causal inference work, and step in directly to pair, deliver, or course-correct when coverage or quality demands it. - Hire, coach, and grow data scientists — run the hiring loop, lead 1:1s, and partner with the Head of Data on performance, compensation, and career development. - Drive rigorous experimentation — champion sound A/B testing, quasi-experimental methods, and causal thinking across both product and performance tracks. What we're looking for - A hands-on data science background with a track record of delivering models, experiments, or analyses that other teams actually used — not just built. - Demonstrated depth in at least one domain: Recommendation Systems, - - Experimental Design and Causal Inference, Customer Segmentation, Churn Prediction, Fraud/Anomaly Detection, or CRM analytics — product-focused experience particularly valued. - Strong command of statistical methods, supervised and unsupervised machine learning, and causal inference, sufficient to review and credibly challenge work across both tracks. - Evidence of leading others — as a tech lead, mentor, or hiring interviewer; prior formal people-management experience is a plus. - Proficiency in Python and SQL. - The communication range to give precise technical feedback to data scientists and represent the team clearly to senior non-technical stakeholders. - Familiarity with cloud-based data and ML platforms (AWS, GCP, or Azure) is a nice-to-have. Our values At B2Spin, passion drives everything — we love building cool stuff and want teammates who feel the same way. We operate on performance: accountability, transparency, and a bias for progress over perfection. If that sounds like your kind of environment, we'd love to hear from you. Equal opportunities We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Poznań, Poland; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Kyiv, Ukraine Workplace: hybrid 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. About the role Join OLX Paid Growth team! We’re looking for a Paid Growth Manager to run paid social, video, display and app campaigns for Goods and Services across Poland, Romania, Portugal and Ukraine. We use data-driven paid media and product feeds to reach millions of buyers and sellers, and you’ll help us test, learn and scale what works. What responsibilities will you get when working with us? Own paid social, video and display for the category across three markets, and shift budget toward what performs. Build and scale product-feed campaigns from shared templates, and automate where it saves time. Launch and grow app-acquisition campaigns with our mobile measurement partners. Manage biddable media buying channels and optimize for reach and capping. Design and run tests by channel, geography and share what you learn. Report weekly on response and monthly on spend and delivery, with clear next steps. What will you need to be successful in this role? 3+ years running paid social and programmatic display at scale, ideally in e-commerce, marketplaces or classifieds. Hands-on experience in Meta Ads, Google Ads and programmatic platforms. Comfort working from feed-driven creative and value signals. Use of AI in your day-to-day work: to test creatives, build audiences and speed up analysis. Fluent business English for colleagues across several countries. What can we offer you? Opportunity to work with advanced marketing solutions, like continuous incrementality tests and AI-driven campaign management. The opportunity to be part of an international group, working for the market leader in classifieds; Fun and informal environment where getting stuff done and enjoying the ride is far more important than rules and hierarchies. Continuous investment in your development, through trainings and e-courses. Complex compensation package (annual performance-based bonus, medical insurance, flexible benefits). Work in a hybrid model - three days per week from the office. Ownership of your work, and the chance to shape how we use AI in performance marketing. 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.   Grupa OLX sp. z o.o. has implemented an internal procedure for reporting violations of the law. You have the right to report a violation of the law via website or by phone using any of the phone numbers listed on this site. The verification of reports and the undertaking of follow-up actions are handled by authorized members of the ethics and compliance team. All reports will be treated with the utmost care, confidentiality and in accordance with applicable law.

Responsibilities: — Join the New Products team at Fundraise Up as a Senior Product Manager. — Two positions available: Senior Product Manager Peer-to-Peer and Senior Product Manager In-Person Giving. — Peer-to-Peer role involves supporting fundraisers for causes such as charity runs and galas. — In-Person Giving role focuses on accepting donations offline at events, venues, and on devices. More details available on LinkedIn post. Work format: Remote positions available for candidates located in Poland, Portugal, Spain, Serbia, Turkey, and Cyprus.

Location: San José, Costa Rica Who are we? Centro is an international product development company with over 15 years of expertise in web development, commercial design, affiliate, and online marketing. Our diverse and talented team operates across various countries, including the USA, Canada, Cyprus, Ukraine, Poland, Georgia, and more. Our project is the original home of independent creators producing niche digital content. What you’ll be working on: Apply Agile and Scrum principles in day-to-day work while planning and managing project timelines, releases, and rollouts; Research, evaluate, and validate new product ideas aligned with company OKRs and overall product strategy; Define clear, well-structured product requirements and communicate them effectively to the development team, including technical context and feedback; Collaborate with other Product Owners and stakeholders to manage dependencies, align priorities, and ensure smooth, timely feature delivery Maintain regular communication with stakeholders to set expectations, gather input, and address questions; Scope resources, prioritize backlog items, and define sprint goals while monitoring progress and removing blockers; Lead by example to foster a collaborative, autonomous team environment and drive accountability; Take ownership of problem-solving by driving solutions, implementing fixes, and ensuring task completion; Design and execute A/B tests, and monitor product usage to continuously optimize Creator tools; Stay up to date with industry trends and conduct competitive analysis across both niche and mainstream markets; Understand user flows by implementing tracking, building reports and dashboards, and continuously optimizing flows based on data insights; Understand and track stakeholder KPIs, communicate performance insights, and adapt messaging for different audiences. About you: 5+ years of experience as a Product Owner or Product Manager in a web development environment, with strong hands-on experience using AI tools as part of day-to-day product management workflows. Strong product thinking with the ability to identify high-impact opportunities, prioritize effectively, and drive initiatives from discovery to validation; User-first mindset with a strong focus on customer behavior, and business impact; Proven ability to rapidly prototype product concepts using AI-powered tools, validate ideas with users and data, and iterate quickly based on feedback. Data-driven approach to decision-making, including experience with product analytics, experimentation, and performance measurement; Experience with subscription-based products is a strong advantage; Demonstrated ability to think strategically, identify market opportunities, and translate business objectives into product initiatives with measurable outcomes. Strong understanding of OKR frameworks; outcome-driven product development, experimentation frameworks, and modern product operating model Comfortable working in AI-first product development environments where prototypes, AI-generated specifications, and rapid experimentation are used to accelerate delivery. Solid technical understanding of modern development workflows, tools, and engineering concepts; Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Lovable, v0, or similar AI-powered workflows; Ability to leverage AI tools to accelerate product discovery, documentation, analysis, experimentation, and execution; Skilled in writing clear, structured, and actionable product requirements optimized for both human collaboration and AI-assisted workflows; Strong analytical, communication, and stakeholder management skills; Highly adaptable, detail-oriented, and comfortable operating in rapidly evolving environments; Strong ownership mindset with the ability to influence, inspire, and motivate cross-functional teams; Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; Remote flexibility - work from anywhere, with a team that values balance and productivity; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Like ownership and real impact? We should meet 🚀

Location: Montreal, QC, Canada Who are we? Centro is an international product development company with over 15 years of expertise in web development, commercial design, affiliate, and online marketing. Our diverse and talented team operates across various countries, including the USA, Canada, Cyprus, Ukraine, Poland, Georgia, and more. Our project is the original home of independent creators producing niche digital content. What you’ll be working on: Apply Agile and Scrum principles in day-to-day work while planning and managing project timelines, releases, and rollouts; Research, evaluate, and validate new product ideas aligned with company OKRs and overall product strategy; Define clear, well-structured product requirements and communicate them effectively to the development team, including technical context and feedback; Collaborate with other Product Owners and stakeholders to manage dependencies, align priorities, and ensure smooth, timely feature delivery Maintain regular communication with stakeholders to set expectations, gather input, and address questions; Scope resources, prioritize backlog items, and define sprint goals while monitoring progress and removing blockers; Lead by example to foster a collaborative, autonomous team environment and drive accountability; Take ownership of problem-solving by driving solutions, implementing fixes, and ensuring task completion; Design and execute A/B tests, and monitor product usage to continuously optimize Creator tools; Stay up to date with industry trends and conduct competitive analysis across both niche and mainstream markets; Understand user flows by implementing tracking, building reports and dashboards, and continuously optimizing flows based on data insights; Understand and track stakeholder KPIs, communicate performance insights, and adapt messaging for different audiences. About you: 7+ years of experience as a Product Owner or Product Manager in a web development environment, with strong hands-on experience using AI tools as part of day-to-day product management workflows. Strong product thinking with the ability to identify high-impact opportunities, prioritize effectively, and drive initiatives from discovery to validation; User-first mindset with a strong focus on customer behavior, and business impact; Proven ability to rapidly prototype product concepts using AI-powered tools, validate ideas with users and data, and iterate quickly based on feedback. Data-driven approach to decision-making, including experience with product analytics, experimentation, and performance measurement; Experience with subscription-based products is a strong advantage; Demonstrated ability to think strategically, identify market opportunities, and translate business objectives into product initiatives with measurable outcomes. Strong understanding of OKR frameworks; outcome-driven product development, experimentation frameworks, and modern product operating model Comfortable working in AI-first product development environments where prototypes, AI-generated specifications, and rapid experimentation are used to accelerate delivery. Solid technical understanding of modern development workflows, tools, and engineering concepts; Hands-on experience with AI tools such as ChatGPT, Claude, Cursor, Lovable, v0, or similar AI-powered workflows; Ability to leverage AI tools to accelerate product discovery, documentation, analysis, experimentation, and execution; Skilled in writing clear, structured, and actionable product requirements optimized for both human collaboration and AI-assisted workflows; Strong analytical, communication, and stakeholder management skills; Highly adaptable, detail-oriented, and comfortable operating in rapidly evolving environments; Strong ownership mindset with the ability to influence, inspire, and motivate cross-functional teams; Why work with us? Competitive salary - receive compensation that reflects your skills and experience; ‍Growth and development - opportunities to grow are endless, with support for your professional development; Remote flexibility - work from anywhere, with a team that values balance and productivity; High level of autonomy, ownership, and accountability; No bureaucracy or micromanagement – we value autonomy and initiative; Educational programs  to expand your knowledge and skills; Team-building activities and opportunities to attend industry events; Paid holidays, vacation, personal days and sick leave. Like ownership and real impact? We should meet 🚀

Location: Portugal; Germany; Poland; Serbia; Boshnya, Belarus As the Senior macOS QA Engineer, you will be responsible for validating the stability, security, and compatibility of a secure macOS platform used to protect sensitive systems. This is a hands-on manual and exploratory QA role (not an automation role) that requires deep, practical experience with macOS internals, system extensions, and application behavior. You will work alongside a highly experienced team of engineers and reverse engineers to design and execute manual test plans that dig into system extensions, inter-process communication, and low-level operating system behavior. If you thrive on identifying edge cases, love all things macOS, enjoy breaking complex systems in controlled ways, and have an investigative mindset for system behavior, this role is for you. This is not a fit if macOS has been a secondary platform, or if your experience is mainly iOS, web or automation. Responsibilities Test macOS security features spanning system extensions, Endpoint Security, and Network Extension frameworks. Design and execute manual test plans for system extensions, inter-process communication (XPC), and low-level operating system integration points. Explore and document edge cases, race conditions, compatibility scenarios, and regressions across macOS versions. Reproduce and isolate complex issues related to sandboxing, SIP and TCC interactions, Launch Services, and daemon behaviors. Work directly with development, support, product, and automation teams to triage, verify, and regress bugs and compatibility issues. Validate interactions between the platform and third-party macOS apps and services. Collaborate with SDETs to turn exploratory and regression cases into automation candidates. Maintain close familiarity with changes in macOS releases and how they may impact functionality and compatibility. Requirements 5+ years of QA experience with macOS applications, with a focus on security, system-level, or compatibility testing. Strong understanding of macOS internals, including System Extensions, Endpoint Security, XPC, TCC, SIP, Launch Services, and file systems. Familiarity with macOS diagnostic and monitoring tools such as Console, Activity Monitor, Instruments, fs_usage, dtrace, tcpdump, and lldb. Experience testing low-level products such as VPNs, endpoint security tools, or antivirus software. Ability to read crash reports and debug logs and identify root causes. Ability to work independently and investigate issues thoroughly before escalating. Excellent written communication for clear test case documentation and bug reports. Comfortable working in Terminal (launchctl, log, systemextensionsctl, tccutil) Able to set up and fully clean test environments (VMs/snapshots, removing extensions, resetting permissions) Availability to work during US Eastern Time (EST) business hours. Claims will be checked: Interviews include hands-on questions about the experience listed on your CV. Benefits Compensation: Based on experience PTO and holidays ** Only CVs submitted in English will be considered **

Location: Madrid, Spain; Warsaw, Poland; Belgrade, Serbia; Sofia, Bulgaria At Allucent™, we are dedicated to helping small-medium biopharmaceutical companies efficiently navigate the complex world of clinical trials to bring life-changing therapies to patients in need across the globe. We are looking for a Site & Patient Engagement Manager II to join our A-team (hybrid*/remote) in Europe. As a Site & Patient Engagement Manager II at Allucent, you are responsible for managing and executing Feasibility & Site Engagement Activities and Patient Engagement Activities spanning both the proposal and study execution stages. Patient Engagement activities cover both Patient Recruitment and Retention and Allucent’s Patient Direct Trials solutions. In this role your key tasks will include: Feasibility & Site Engagement Conduct post-award feasibility studies with potential sites for the assigned country(ies) as required, in order to select the most appropriate sites for the execution of Allucent studies. Develop Site Selection plan in collaboration with Global clinical Operations functional leads. Timely deliver detailed information on the feasibility results for the assigned country(ies), including reasons for declines and other issues which may impact sites participation or recruitment on the study. Leveraging Allucent Site Network, identify sites to be approached for indication-specific feasibilities by using database or research through online tools. Collaborate with sites with the responses to electronic questionnaires and questions regarding the feasibility requested via email and phone calls. Establish relationships with new sites in the assigned country(ies) to address capabilities for their utilization as part of future Allucent studies. Responsible to deploy post-award feasibility including obtaining CDAs, providing specific study documents and utilizing daily trackers for assigned country(ies), Conduct/oversee the conduct of post-award feasibility studies with potential sites as required, in order to select the most appropriate sites for the execution of Allucent studies. Write feasibility reports for clients as required. Maintain internal libraries and databases related to feasibility Expand and maintain site and investigator network Assure the Feasibility function interfaces effectively with all other key operating departments within Allucent Patient Engagement Patient Recruitment and Retention Responsible for developing, managing, and deploying specific Patient Recruitment and Retention materials in line with study needs and agreed study scope. Work with and managing digital outreach campaign / vendor in line with study timelines, geographical reach Support site level recruitment via supporting other functional leads including CTL, CRAs, and feasibility Coordinate and manage deployment of other site-specific strategies such as Clinical Enrollment Managers, Enrollment Assistants or other site supporting tactics as agreed Work closely with (and in coordination with the sponsor) designated Patient Advocacy Groups to support the study as per agreed scope May oversee and manage junior members of the Site & Patient Engagement team at the study level to deliver patient facing materials, trackers and other administrative tasks Manages the day-to-day functional and organizational activities for assigned studies Generally assigned to small to medium sized projects Requirements To be successful you will possess: Life science, healthcare and/or business degree Minimum 5 years of experience in drug development and/or clinical research Excellent knowledge of ICH /GCP, FDA and country regulations Good understanding of different country regulations, as it pertains to Patient Engagement and country regulations Strong customer service orientation Demonstrated professionalism and presentation of a positive image of the company Demonstrated understanding of applicable medical/therapeutic area knowledge and medical terminology Benefits Benefits of working at Allucent include: Comprehensive benefits package per location Competitive salaries per location. We will share the salary band with candidates at the phone screen stage. Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Opportunity for remote/hybrid* working depending on location Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via GoodHabitz and internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers: *Our hybrid work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices . “The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively “Allucent”). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources.” #LI_DE-1

Location: Tbilisi, Georgia; Astana, Kazakhstan; Yerevan, Armenia; Almaty, Kazakhstan; Warsaw, Poland Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE* , we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. About The role: We’re looking for a technically skilled Technical Support Specialist to join our growing L2 support team. This role is ideal for someone with a solid background in Linux administration, system monitoring, and hands-on troubleshooting. The ideal candidate is passionate about system reliability, enjoys automating routine tasks, and is comfortable working in a shift-based schedule. Experience in IT operations, FinTech, or payments infrastructure is a strong advantage. Responsibilities: Provide timely technical support to internal teams and partners regarding system monitoring and service stability Maintain and use tools like Prometheus , Grafana , Loki , and Alertmanager Log, analyze, and categorize incidents in Jira Service Management , and escalate issues when needed Develop and maintain small automation tools (e.g., Python scripts, Telegram/Slack/Jira bots ) Administer Linux servers : logs, access control, services, cronjobs Document recurring issues and solutions in Confluence Work with REST APIs to integrate with third-party systems Participate in a 24/7 shift rotation , including nights and weekends Requirements: 1+ years of experience in technical support Strong command of the Linux CLI , logs, services, file permissions, and networking Experience working with monitoring and alerting systems Understanding of incident and problem management (ITIL or Jira workflows) Basic skills in Python scripting Experience with Telegram, Slack, or Jira bots is a strong plus Understanding of REST APIs Excellent written and verbal communication skills in English and Russian Willingness to work in a shift-based environment (including on-call) Attention to detail, excellent communication skills and ability to explain complex technical concepts in simple terms Nice to Have: Experience in FinTech, acquiring, or payment systems Familiarity with Docker, CI/CD, or centralized logging systems (e.g., ELK, Jaeger) Hands-on contributions to automation or monitoring in production environments What we offer: Opportunity to shape the future of fintech solutions within a growing company Collaborative, horizontal team structure that values your expertise and ideas Continuous learning and development opportunities to enhance your skills and career growth Competitive salary and benefits package Flexible work arrangements to support work-life balance * Please note that this position is offered within the COLIBRIX ONE. Employment will be under the appropriate legal entity based on the role and location.

Location: Georgia; Belarus; Poland; Ukraine LBC Mortgage is a growing mortgage lending company focused on providing tailored financing solutions to clients across the United States. We are looking for an experienced PPC Specialist with a strong background in the mortgage industry to join our marketing team. The ideal candidate has hands-on experience managing paid advertising campaigns for mortgage products, understands the U.S. mortgage market, and knows how to generate high-quality leads while optimizing advertising performance. Important: Previous experience in the mortgage industry is required. Responsibilities Develop, launch, and manage PPC campaigns across Google Ads, Meta Ads, and other relevant advertising platforms Create and implement paid advertising strategies to generate high-quality mortgage leads Conduct keyword research, audience targeting, and competitor analysis within the mortgage and lending industry Manage advertising budgets and optimize campaigns to improve CPL, CPA, conversion rates, and overall ROI Create and optimize ad copy, landing pages, and campaign structures Monitor campaign performance and identify opportunities for improvement Set up and manage conversion tracking using Google Analytics 4, Google Tag Manager, and other relevant tools Conduct A/B testing to improve campaign effectiveness Analyze lead quality and collaborate with the sales team to improve lead generation results Ensure advertising campaigns comply with applicable mortgage advertising regulations and platform policies Prepare regular performance reports and provide actionable recommendations Stay up to date with PPC trends, mortgage market developments, and digital advertising best practices Requirements Proven experience as a PPC Specialist or Performance Marketing Specialist in the mortgage industry Hands-on experience managing Google Ads and Meta Ads campaigns for mortgage or lending products Strong understanding of the U.S. mortgage market, mortgage products, and borrower acquisition strategies Experience generating mortgage leads through paid advertising Strong analytical skills and the ability to optimize campaigns based on performance data Experience with Google Analytics 4, Google Tag Manager, and conversion tracking Understanding of advertising compliance requirements within the mortgage and financial services industry Ability to work independently, take ownership of campaigns, and bring forward new ideas Strong communication and problem-solving skills What We Offer Opportunity to work with a growing U.S. mortgage lending company A dynamic and collaborative marketing environment The opportunity to take ownership of paid advertising strategies and contribute directly to company growth Competitive compensation based on experience Remote work flexibility

Location: Warsaw, Poland Dentons Business Services EMEA is the operational backbone of Dentons, supporting the world's largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration. Job purpose This role is responsible for quality of data used by Finance Departments in Elite 3E, managing daily workload and tasks in area of financial master data (clients, matters, fee earners) and time recording areas. This role plays an important role in increasing results and time recording process effectiveness with standardization and automation through reporting and fee earner chasing to complete missing time. This role provides support for Finance Data Administration Team and other processes within Revenue Operations. Key responsibilities Fee Earners’ accounts activation, termination and maintenance in Elite 3E Matter maintenance and updates in Elite 3E including requests received via Intapp Open, correction based of error notifications (DQM), currency, location, Billing Fee Earner, rate changes     and others Clone and non-billable matters creation Support with various reports preparation Verification of Time Recorded and Released Monitor and quality check of data (Matter, Fee Earner, Clients and timecards) Cooperation with other team members and departments, and collect regular feedback Working towards quality standards Support in assigned campaigns, initiatives and internal projects Comply with the firm's policies, internal procedures, and any other legal obligations, and effectively address risks to the firm where those risks relate to this role Assistance in resolving client queries Requirements Education Bachelor’s degree required Preferred fields of study: Business Administration, Finance, Accounting, Economics, Human Resources or Quality Control Experience 0-1 years of professional experience Skills and competencies Intermediate proficiency in written and spoken English Intermediate proficiency in Microsoft Excel and basic proficiency in Microsoft Word Analytical skills Knowledge of Elite 3E, IntApp Open, IntApp Time and Time Policy Manager would be an asset Benefits Private medical healthcare provided by Medicover MultiSport card Benefit Cafeteria system Option to join a private insurance plan An additional day off for your birthday Tailored learning & development opportunities Hybrid work model with a modern office in Warsaw city center