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Location: United States What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

We’re looking for an Assistant Editor who keeps our post-production pipeline organized and moving. You’ll collate and prep project files for our VFX and color teams, and manage the digital assets behind every episode we produce.

Location: Intellias Meet your recruiter Olha Yakuba olha.yakuba@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Architect Architect Bulgaria, Croatia, Poland, Portugal, Spain, Ukraine, United Kingdom Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you The client is a US-headquartered engineering, architecture, construction and commissioning firm delivering complex facilities for the life sciences and advanced technology sectors. Its knowledge lives across SharePoint, CRM, project management, cost and document systems, and the client is investing in data and AI to put that knowledge to work. Intellias is the client’s data and AI delivery partner. The engagement covers several streams that run in parallel or follow one another: Data platform: a governed Microsoft Fabric lakehouse that consolidates project, commercial and document data into one trusted source. Knowledge and document AI: extraction, search and cited generation over large archives of proposals, specifications, drawings and project records. AI agents and workflow automation: assistants embedded in pre-construction, proposal, delivery and innovation processes, including idea intake, triage and approval flows. Governance and enablement: AI governance, security, environment set-up, including isolated or offline deployments, and capability building for client teams. What you will do Own the account’s target data and AI architecture, keep every initiative aligned to it, and maintain the architecture documents and decision records. Design lakehouse data models (medallion, Delta) with clear lineage, data quality rules and reusable data products. Plan environments, capacity and the path from pilot to production. Design integrations with enterprise systems such as Microsoft 365/SharePoint, CRM, ERP, finance and project systems, plus entity resolution to link clients, projects and documents. Build document intelligence pipelines that use OCR, classification and LLM-based extraction. Architect RAG solutions and AI agents on Azure AI Foundry and Power Platform, with grounded answers, tool use and human-in-the-loop steps. Set up evaluation frameworks with golden datasets, and use them to gate model and prompt changes. Design security and governance: Entra ID/RBAC, document-level access, Purview, audit logging, monitoring and cost controls, plus isolated deployments where required. Act as the client’s trusted technical advisor: run workshops and present trade-offs, cost and risk clearly. Support new client initiatives with estimates, RFP responses, demos, proposals and proofs of concept Mentor data and AI engineers through design reviews, code reviews and prototyping, and help grow the client’s in-house capability. What you need for this Tech stack: Microsoft Fabric / OneLake, Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Power Platform and Dataverse, Microsoft Purview, Entra ID, Key Vault, Azure Monitor; integrations with SharePoint (Graph API), Salesforce and Procore. Requirements 8+ years in data engineering or data platforms, including 3+ years as a solution or data architect leading end-to-end designs for enterprise clients. 3+ years of Azure experience (Microsoft Fabric / OneLake, Azure AI Foundry and Azure OpenAI, Azure AI Search etc.) including security and governance (Entra ID, RBAC, Key Vault, private networking). Proven delivery of production data platforms (medallion patterns), experience in data modelling with lineage and provenance, data quality, entity resolution and master data. Delivered at least one generative AI solution (RAG, document AI or agents) beyond the prototype stage. Strong hands-on Python and SQL; working knowledge of PySpark. Ability to explain architecture and AI limits to non-technical business stakeholders, and to defend decisions with trade-offs, cost and risk. Comfortable working across several initiatives at once and switching between strategy and hands-on detail. English at B2+ (Upper-Intermediate) or higher for daily work with US stakeholders. Nice to have Experience in the AEC (architecture, engineering, construction) or life sciences domain: pre-construction, estimating, proposals, commissioning and qualification. Exposure to Procore, Salesforce, Cosential or similar construction and professional-services systems. Power BI / Microsoft Purview / Power Platform / Copilot Studio. Agentic frameworks (Semantic Kernel, LangGraph, Azure AI Foundry Agent Service), Model Context Protocol and LLM evaluation tooling. Infrastructure as code (Bicep or Terraform) and CI/CD for Fabric and Azure (Azure DevOps or GitHub Actions). Azure / Fabric certifications. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Islamabad, Pakistan Workplace: hybrid The User Experience team is responsible for developing and implementing initiatives across the superApp, as well as ensuring a seamless and consistent user experience. We actively run A/B tests with samples ranging from tens to hundreds of thousands of users to validate hypotheses quickly and deliver the value of new features to our audience in a timely manner. The team has a direct impact on the app's look and feel and its overall evolution. One of our key focus areas is identifying and implementing the optimal home screen experience, with flexible configuration options tailored to different markets worldwide. Key Responsibilities Develop and maintain iOS apps with Swift, UIKit and SwiftUI. Collaborate with cross-functional teams on feature design, system architecture, A/B experiments. Identify and resolve bugs, performance bottlenecks, offline-storage and threading issues using profiling and network-debugging tools. Guarantee code quality through unit & snapshot tests, pull-request practices that meet community guidelines. Take part in sprint planning, task decomposition. Skills, Knowledge and Expertise 4+ years of commercial iOS development. Strong grasp of iOS SDK, Swift, SwiftUI and other key iOS frameworks, plus experience with Alamofire, Snapkit. Knowledge of App Store Review Guidelines. Experience with offline storage, multithreading, modern concurrency (async await). Familiarity with RESTful APIs to connect iOS applications to back-end services. Experience with network debugging (Proxyman). Solid understanding of the full mobile development life cycle. Base knowledge in Computer Science. Understanding of Clean Architecture and common architectural patterns (MVC, MVVM, MVP, etc.) with the ability to apply them in practice. Git proficiency: branches, pull requests, responding to review feedback. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Workforce Planning team, reporting to the Head of Strategic Workforce Planning & Optimisation. Working with Operations, Business Process Outsourcing (BPO) partners, Training and Quality, you’ll create accurate, cost-effective schedules that balance customer demand, employee needs and development time. The team connects customer demand with operational capacity, helping the wider business make informed staffing decisions. By improving coverage, schedule accuracy and the use of available hours, you’ll support loveholidays in ensuring we provide excellent customer service while meeting our commercial performance objectives. Workforce Planning is part out of our Customer Experience department, supporting the teams who engage daily with our travelers across a full range of services and channels in all our markets This sits within our Business function, where customer understanding, supplier relationships and commercial judgement come together. By staying close to customer needs, market opportunities and commercial performance, Business teams help shape the loveholidays proposition and turn insight into better outcomes for customers, suppliers and the business. Your day-to-day: - Build, validate and publish schedules on time, using demand forecasts, skills and staffing requirements to optimise shifts, breaks and coverage, control costs and hand over risks to Operations and real-time teams. - Coordinate BPO schedule delivery and shared work across sites and vendors, maintaining a consolidated view of coverage, challenging gaps and driving corrective action. - With a customer-focussed mindset. partner with Training, Quality and Operations to schedule coaching, learning and other offline activities where capacity allows, meeting development needs while minimising customer impact. - Manage leave allocation and tracking within agreed limits, reconcile records with the People Operations team, and keep employee skills, hours and working arrangements accurate in the Workforce Management (WFM) system. - Amend task allocations within schedules in a flexible manner, and in conjunction with real time analysts, in response to incidents and issues that may otherwise impact on service outcomes - Own WFM scheduling configuration and user support, troubleshoot issues, test changes and validate outputs, while maintaining clear guidance and improving processes. - Use coverage and performance data to negotiate practical and innovative solutions with Operations, balancing service, cost and employee needs within workplace rules, policies and approval limits, while protecting employee information. - The scope of work includes scheduling for up to 100 internal agents and their line managers across 4–8 business functions, and monitoring and coordinating schedule delivery and coverage across 2–3 BPO vendors, 3–6 sites and more than 500 vendor agents. Your skillset: - A thorough understanding of contact centre operations, with hands-on experience creating and maintaining contact centre schedules in a WFM platform, including configuration, troubleshooting and output validation. Calabrio experience is highly valued. - Understanding of interval-level demand, staffing, service levels, shrinkage, occupancy and multi-skilled coverage, with sound judgement about service and cost trade-offs. - Strong analytical skills and confident use of spreadsheets (eg Google Sheets or Excel) or equivalent tools to spot trends and/or performance gaps, reconcile data, assess coverage, identify opportunities and explain recommendations. - Accountable, with high standards for your own work and that of others, showing attention to detail when handling employee and leave records, and in applying contractual working arrangements, shift and break rules consistently. - Action-focussed, with strong organisation and ownership, and the ability to meet schedule publication deadlines and manage competing priorities across teams, sites or partners. - Clear communication, negotiation and stakeholder management skills, including having a growth mindset and the confidence to challenge requests constructively, escalate risks and support WFM users as we strive to work better than yesterday. - You are collaborative and inclusive, sharing your expertise, collaborating with others to get the The interview journey: 1. Intro with a member of the Talent Acquisition team - 30 mins 2. 1st stage with Hiring Manager - 45 mins 3. Final stage with key stakeholder/s including an analytical competence activity, in office - 1 hour Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment. Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges. Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions. Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints. Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring. Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies. Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks. Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization. Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning. Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements. What you need for this Required skills: 5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field. Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation. Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI. Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems. Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring. Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn. Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent. Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments. Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring. Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations. Proficiency with version control (Git) and software engineering best practices for collaborative ML development. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Will be a plus: Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment. Experience with model serving and inference optimization tools such as vLLM. Experience working with feature stores, real-time data pipelines, or streaming AI systems. Experience with distributed training or large-scale model training frameworks. Experience with multimodal AI systems (vision-language models, audio-text, document AI). Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.). Experience contributing to open-source ML projects or publications in peer-reviewed venues. An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Intellias Meet your recruiter Alex Dayrabekov alex.dayrabekov@intellias.com https://www.linkedin.com... Vacancy details Management Manager Manager Bulgaria, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND The Support Delivery Manager plays a crucial role in ensuring the success of our client engagements. This position requires a strategic mindset, operational excellence, and a strong customer focus. The manager is accountable for delivering high-quality support services, driving performance, and fostering long-term relationships built on trust and reliability. At Intellias, where technology takes center stage, people always come before processes. We’re dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you. What project we have for you Our client is a global Fortune 500 consumer goods company headquartered in Switzerland, operating in 130+ countries. Together with Intellias, they are building a modern Digital Ecosystem covering eCommerce, personalization, customer engagement, and connected online–offline experiences. To support this transformation, we are seeking a Support Delivery Manager who will drive and scale IT support operations, ensuring high-quality service delivery in a complex, fast-paced environment. What you will do Own and manage end-to-end support delivery operations, ensuring service stability and performance. Design, implement, and continuously improve Incident, Problem, Change, and Service Request Management processes in line with ITIL best practices. Build and scale support structures from scratch, including onboarding new services and teams. Lead major incident management, ensuring timely resolution and clear stakeholder communication. Manage and optimize 24/7 support models and L1/L2/L3 support structures. Take ownership of SLA/KPI performance, including monitoring, reporting, and driving improvements. Develop roadmaps, delivery plans, and forecasts, aligning support strategy with business needs. Create clear reports and dashboards to visualize performance and outcomes. Collaborate with stakeholders to ensure smooth service transitions and contract-related operations. Drive adoption of AI tools and automation to enhance support efficiency. Lead and participate in hiring processes, shaping and growing high-performing teams. Influence team mindset, promoting a proactive, ownership-driven culture. What you need for this 3+ years of experience as a Support Manager / Support Delivery Manager in IT. Strong hands-on experience with: Support setup from scratch Service onboarding and transition 24/7 support operations L1/L2/L3 support models Support processes implementation Proven expertise in ITIL processes and service management practices. Solid experience in SLA/KPI ownership, escalation management, and performance optimization. Strong project delivery skills: roadmap creation, planning, and measurable goal setting. Experience managing large-scale, high-demand environments. Experience with ITSM tooling (Jira, ServiceNow etc) Ability to influence teams and stakeholders, driving change and improvements. Excellent communication and stakeholder management skills. Experience in reporting and data visualization. Hands-on involvement in interviewing and hiring. Experience with contracts and operational considerations. High stress resilience and strong sense of ownership. English level: B2/C1 or higher. Will be a plus: ITIL certification (Foundation level or higher). What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Обязанности: полный цикл исследований по микроструктуре, LP/хеджированию, исполнению, межплощадочным сигналам и риску в crypto/DeFi.

Location: Россия Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Мы в поиске Golang разработчика, который присоединится к нашей команде и будет развивать платформу лояльности, а именно - сервисы, реализующие экосистемный промодвижок . Основная миссия команды "M+ Engine" - предоставление награды конечному пользователю за выполнение условий. Каждый запрос пользователя (online - из приложения, offline - с кассы магазина) - это проверка большого количества правил, персональных предложений, наличия промокода и выдача какого-либо бенефита (бонусы, скидка и так далее). Все это нужно делать за минимальное время, тем самым решая не только технологическую задачу, но и придумывая комбинаторные подходы обсчета самого выгодного предложения. Команда: Teamlead, 3 Go разработчика, 2 QA. Стек: Golang, Postgres, CH, Kafka, Redis, gRPC. Задачи Внедрять современные технологии и подходы к разработке (Apache Kafka, gRPC) Создавать новые микросервисы Участвовать в выстраивании архитектуры промодвижка (гибкие настройки, гибкие награды, большие объемы данных) Писать unit и функциональные тесты Писать код, проводить ревью Требования Опыт коммерческой разработки на Go от 3-х лет Опыт коммерческой разработки backend от 5 лет Понимание протоколов HTTP/GRPC Знания устройства баз данных Условия Оформление в аккредитованную ИТ-компанию; Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в центре Москвы (ст. м. Савеловская), в Краснодаре или удаленно из других городов РФ, так же есть офисы в Санкт-Петербурге (ст. м. Балтийская) и в Иннополисе Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах Развитие – мы оплачиваем обучение на курсах и участие в конференциях Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Наличие корпоративных скидок PRIMEZONE и программ лояльности от компании Наличие корпоративной библиотеки курсов Возможность рекомендовать компанию своим друзьям, участвуя в реферальной программе Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid The Head of Supply is one of the key leadership roles in the vertical, owning supply performance across a large portfolio of markets and ensuring we can both run the current business efficiently and build the supply model required for future growth. The role combines two core mandates: Run the business: maintain a healthy marketplace, sufficient supply, efficient acquisition, strong courier economics, and consistent operational performance across markets. Change the business: build new supply models, fleet structures, operating approaches, product capabilities, and scalable solutions required to support new products, monetisations streams, and business models. This is a global ownership role with direct accountability for supply strategy, marketplace performance, economics, execution, and transformation. Key Responsibilities Marketplace Health Own supply-demand balance by market, zone, and time of day based on marketplace efficiency inputs. Maintain courier availability, utilisation, productivity, and overall marketplace health. Own geographic coverage gaps, supply density, and market expansion readiness. Build and maintain supply forecasting models with measurable accuracy targets. Own SLA achievement, done rate, acceptance rate, and other critical supply-side marketplace metrics. Identify structural marketplace issues early and drive corrective actions together with country teams and Product. Supply Acquisition Own the end-to-end courier acquisition funnel from awareness through activation and 1/3/10 completed deliveries. Define and manage CAC targets, acquisition budgets, channel mix, and activation efficiency. Run digital, referral, offline, partnership, and local acquisition programmes across markets. Design scalable acquisition playbooks while adapting execution to local market realities. Build and maintain a structured experimentation framework to continuously improve acquisition efficiency and activation quality. Ensure acquisition is directly linked to marketplace demand rather than managed as an isolated growth function. Supply Marketing Own global courier positioning and the courier value proposition. Define why couriers should choose, stay with, and prioritise our platform versus alternatives. Drive supply performance marketing together with the central Marketing team. Test and optimise creative, messaging, channels, and offers across acquisition and retention. Define communication strategy for active, lapsing, and reactivated couriers. Ensure courier communication supports both marketplace performance and long-term retention. Budget & ROI Ownership Own and allocate acquisition, incentive, referral, supply marketing, and other relevant supply budgets. Define clear СAC, payback, ROI, and incremental impact frameworks for all supply investments. Build quarterly and annual budget plans with scenarios and clear business assumptions. Reallocate investment across markets based on performance, opportunity, and marketplace needs. Hold country teams accountable for supply investment efficiency. Ensure every material supply investment has a clear expected business outcome and measurable return. Strategy Author and own the global supply strategy, updated annually and reviewed quarterly. Define how our supply model should evolve across different market maturity stages and business models. Build the country prioritisations framework based on marketplace maturity, growth opportunity, economics, and strategic importance. Lead quarterly and annual planning cycles, including OKR-setting with country teams. Define the long-term evolution of courier, fleet, partner, and hybrid supply models. Identify structural opportunities to improve supply quality, scalability, cost, and competitive advantage. Ensure supply strategy supports new verticals, products, monetisation models, and future business growth. Operations Run weekly global supply business reviews with country teams. Maintain a clear view of performance, key risks, priorities, and required actions across all markets. Manage country escalations and unblock critical operational issues with speed. Build scalable operating standards while preserving necessary local flexibility. Drive cross-functional alignment across Product, Marketing, Finance, Legal, GR, Commercial, and Operations. Step into critical markets or projects when performance requires direct leadership intervention. Build strong accountability across country teams for execution and results. Product Represent supply requirements in all relevant product roadmap decisions. Own prioritisation of supply-side product needs based on business impact and marketplace performance. Maintain and prioritise the supply product backlog together with Product. Translate operational problems into scalable product solutions rather than permanent manual processes. Coordinate experiment sequencing, pilots, rollout planning, and post-launch evaluation. Ensure new products and business models have a viable supply operating model before scale. Lead the supply side of major change initiatives including new fleet models, fulfilment models, courier tools, and marketplace mechanics. Analytics Own the supply performance framework across all markets. Own supply dashboards, country scorecards, and management reporting. Run regular funnel analysis, cohort analysis, marketplace diagnostics, and investment performance reviews. Build forecasting, scenario planning, and capacity models required for business planning. Track forecast accuracy and continuously improve planning quality. Ensure decisions are based on clear data and comparable metrics across markets. Move the organisation from reporting what happened to understanding why it happened and what needs to change. Qualifications 7+ years in marketplace operations, supply growth, or platform scale. Proven ownership of acquisition budgets ($1M+ annually). Experience leading multi-country or global teams of 8+ people. Track record of improving CAC and supply retention simultaneously. Background in on-demand logistics, ride-hailing or food delivery preferred. Advanced level of English proficiency. The Head of Supply is not only responsible for managing the existing supply organisation. The expectation is to build a global supply engine that can scale with the business. The person should be equally comfortable running marketplace performance today and redesigning the operating model for tomorrow - moving between country execution, economics, strategy, product, and complex transformation topics. Success in this role means having the right supply, in the right place, at the right time and cost today, while continuously building a stronger and more scalable supply model for the future. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location

Создавать и оптимизировать подходы к оценке качества моделей и AI-пайплайнов (RAG, LLM, OCR). Построение online/offline метрик качества, написание методологий оценки для мониторинга качества и регрессионного тестирования.

— Talablar: Ta’lim/maktab sohasida R.O.P tajribasi, sotuv jamoasini boshqarish, KPI va reja qo‘yish, eng kamida 2 yilik “ROP” lavozimida tajriba CRM va sotuv voronkasini tushunish, haqiqatdan ham natija qila olish; Sotuv menejerlarini ishga olish va ish orgata olish.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering. The data spans on-chain activity, fiat deposits and withdrawals, trading behaviour, account access patterns, device intelligence, identity information, and customer interactions—signals that very few organizations can analyze together. The problems are complex, adversarial, and constantly evolving. Models must identify emerging fraud patterns, scams, account takeovers, payment abuse, and other forms of financial risk while minimizing disruption to legitimate customers. Success is not measured only through offline model metrics. It is measured through prevented losses, improved approval rates, reduced false positives, faster investigations, and more reliable customer experience. This role sits within a multidisciplinary risk team of machine learning engineers, data scientists, risk strategy specialists, analytics engineers, product managers, and operations teams. You will work across the full ML lifecycle — from problem formulation, feature engineering, and model development to real-time deployment, monitoring, experimentation, and continuous iteration. You will also help shape how AI is used across the risk organization. LLM-assisted development, automated model workflows, AI-powered investigations, and intelligent review agents are part of the team’s daily work. We are looking for engineers who already use these tools effectively and can help establish safe, scalable, and production-ready AI practices. What You’ll Be Doing We’re looking for a Machine Learning Engineer to build models and AI tools that help detect fraud and protect users at a global crypto exchange. You’ll apply deep learning and XGBoost, develop practical AI agents, and use AI coding tools in your daily work. Build, evaluate, and deploy machine learning models for fraud and risk detection. Improve data quality, features, and model performance, balancing fraud detection with customer experience. Develop AI agents to support investigations, summarize cases, retrieve evidence, and automate routine workflows. Use AI coding tools to accelerate development, testing, and debugging while reviewing and validating their output. Work with engineering, product, and risk teams to deploy solutions and monitor their impact. What We Look For In You A strong foundation in machine learning, with hands-on experience in deep learning and tree-based models such as XGBoost or LightGBM. Strong Python skills and experience training, evaluating, and deploying models. Some practical experience building AI agents or LLM applications, including tool calling, retrieval, or workflow automation. Prototypes and personal projects are welcome. Regular use of AI coding tools, with the ability to understand, test, and improve generated code. Familiarity with databases and data pipelines for preparing training data and supporting ML workflows. Good problem-solving, communication, and collaboration skills. Nice to Haves Experience in account takeover (ATO), scam detection, or other fraud and risk use cases. Experience with LLM training, fine-tuning, evaluation, and alignment. Experience with reinforcement learning algorithms and their practical implementation. Experience with real-time ML systems, imbalanced datasets, or model explainability. Prior fraud or risk experience is helpful Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to $321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - Canada Narvar is Growing! We're looking for a leader to own the machine learning systems behind post-purchase commerce — identity, fraud, and the intelligence layer that agentic AI runs on. Hundreds of millions of consumers interact with Narvar every year, across 20B+ orders and 1,300+ retail brands. That data powers three systems: Graphite , our identity resolution engine that ties fragmented consumer data into a single verified identity across retailers; IRIS , our fraud and returns-abuse detection engine built on top of it. You'll own the ML organization behind all of it — the models, the platform they run on, and the people who build them. This is a role for someone who wants a system with real consequences: fraud decisions that move retailer margin, identity resolution that agents make automated decisions on, and an adversary on the other side who adapts every quarter. For this role, you should be located in Canada and able to work within EST/EDT OR PST hours. We are fully remote. Day-to-day Own the ML charter across identity resolution, fraud and abuse detection, risk scoring, and consumer intelligence — strategy, roadmap, and delivery Build and grow a high-performing, globally distributed team of ML engineers; hire, coach, and develop senior ICs and managers Set the technical bar for how models get built, evaluated, deployed, and monitored — and hold the org to it Push identity resolution coverage, precision, and profile classification accuracy against a measured, frozen-holdout baseline — not against vibes Own IRIS model performance end-to-end: detection rate, false-positive rate, label quality, and the feedback loops that keep both honest as fraud patterns shift Build the ML platform layer — feature stores, training pipelines, model registry, online serving, drift and performance monitoring — so model velocity isn't bottlenecked on infrastructure Partner with the AI engineering team so identity and risk signals are first-class inputs to NAVI's agent decisions Work directly with Product, Engineering, Security, and Customer Success to translate messy retailer problems into ML problems worth solving — and to say no to the ones that aren't Own build-vs-buy and data-partner decisions (third-party identity data, enrichment providers), including the economics Communicate model performance, risk, and tradeoffs credibly to executives, retailers, and the board What We're Looking For We care more about judgment and ownership than credentials. You're likely a strong fit if you: Have 12+ years in engineering with 5+ years managing ML or data teams, including managing managers or senior ICs Are an engineer at heart — you can still read a training pipeline, review a feature spec, and tell when an eval is measuring the wrong thing Have shipped ML systems that make consequential automated decisions in production, and have owned them after launch — drift, retraining, incidents, and all Have deep experience with at least one of: entity resolution / identity graphs , fraud and abuse detection , risk scoring , or anomaly detection at scale Understand what makes ML different from software: labels are noisy and delayed, systems fail silently, offline metrics lie, and last quarter's model is fighting last quarter's adversary Have opinions about evaluation — precision/recall tradeoffs on heavily imbalanced data, holdout hygiene, feedback loops where the model's own decisions contaminate future labels Have built or scaled ML infrastructure: feature pipelines, training orchestration, online model serving with real latency budgets, monitoring and alerting Are fluent in Python and comfortable in a modern data stack (Spark, Airflow or equivalent, streaming, cloud data warehouses — we run on GCP) Have hired well, retained well, and can point to engineers whose careers got better on your watch Excel in a fast-paced environment with a flat structure — you set direction by earning trust, not by mandate Have a BS/MS in computer science, statistics, or an equivalent background Bonus points These aren't hard requirements, but strong indicators: You've worked on identity resolution or graph systems against third-party consumer data (credit bureau, telecom, or similar), including the matching logic and confidence scoring underneath You've operated adversarial ML systems where attackers actively adapt to your detection You've built real-time inference paths where identity or risk has to be resolved inside a request budget You've worked in retail, payments, fintech, insurance, or marketplace trust & safety You've partnered closely with LLM/agent teams and understand how structured ML signals ground agentic decisions You've navigated privacy, consent, and data-governance constraints on consumer identity data You've done 0→1 — stood up a function, a platform, or a data partnership from nothing You use modern tooling (including AI-assisted development workflows) to increase leverage, not outsource thinking Why ML at Narvar? Because the data is genuinely rare and the problems are genuinely hard. The dataset is a moat. Cross-retailer visibility across 20B+ orders means we can see coordinated fraud patterns no single retailer can — a returns abuser hitting five brands looks like a good customer at each one. The problem is adversarial and unsolved. Returns fraud and policy abuse are growing faster than retail itself, and the counterparty adapts. There is no off-the-shelf answer. The stakes are measurable. Fraud loss, false-positive cost, identity coverage, resolution rate. Not vanity metrics. It feeds something bigger. As AI shopping agents enter commerce, every agent will need a trust layer for returns, claims, and delivery promises. Identity and risk are that layer — and you'd own it. The work is greenfield enough to matter. Real-time resolution, cold-start modeling, historical backfill, new data partnerships — these are decisions still being made, not legacy you inherit. Why Narvar (from an engineer's perspective)? Real scale, real customers, real consequences Startup-level ownership with platform-level impact Teams that value thinking, judgment, and responsibility Low ego, high trust, and room to do your best work We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform! From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages. Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Remote Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits. The range reflects the minimum and maximum target for new hire salaries for the position across Canada. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. Narvar Salary Range $240,000 — $260,000 CAD Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.

📌 Buxgalterlar akademiyasi sotuv bo'limiga menejer kerak oflayn buxgalteriya kurslarini sotuvi bilan shug'illanish kerak.

— Talablar: Yoshingiz: 18+; Yashash manzilingiz: Toshkent shahar yoki viloyati;

Location: Ukraine Workplace: remote Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a creative and proactive Motion Designer to join our team and bring ideas to life through engaging video content, motion graphics, and animations.In this role, you will work on a variety of projects, from product videos and educational content to marketing campaigns, social media, and international events. You will collaborate with different teams to create visually compelling content that communicates our brand and product stories.The ideal candidate has a strong eye for design, attention to detail, and a passion for experimenting with new creative approaches, including AI-powered tools.The role is based in Ukraine.Responsibilities:Create and edit engaging video content for Creatio Academy online courses, webinars, and educational YouTube content, including motion graphics, sound editing, and color correction.Produce video content for social media, including editing podcasts, executive interviews, and adapting footage into Shorts, Reels, and other short-form formats.Design animated banners, motion graphics, and video assets for marketing campaigns, digital channels, and website content.Edit product videos, release trailers, and demos showcasing Creatio's latest features and innovations.Transform company reports, statistics, and industry insights into engaging videos, including content for industry analysts and customer case studies.Develop video content for international conferences, digital events, and product launches, including opening videos, promotional materials, and event landing-page animations.Edit customer interviews, demo recordings, and promotional videos for digital releases and offline events.Create internal corporate videos and animated intros for HR communications.Collaborate with cross-functional teams to deliver high-quality video content aligned with Creatio's brand and communication objectives.Leverage AI-powered tools to streamline video production, improve creative workflows, and explore new approaches to motion design.Requirements:At least 2 years of hands-on experience in motion design, video editing, or video production, supported by a portfolio of relevant projects.Proficiency in Adobe After Effects and Adobe Premiere Pro (must-have).Strong understanding of motion graphics, animation principles, video composition, and visual storytelling.Experience with video post-production, including sound editing, color correction, and exporting content for different platforms.Experience using AI-powered tools in video production, animation, or creative workflows.Strong attention to detail, creativity, and the ability to maintain visual consistency across different types of content.Ability to independently manage multiple projects, prioritize tasks, and meet deadlines.Strong communication and collaboration skills, with conversational English proficiency.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Almaty, Kazakhstan Workplace: hybrid The User Experience team is responsible for developing and implementing initiatives across the superApp, as well as ensuring a seamless and consistent user experience. We actively run A/B tests with samples ranging from tens to hundreds of thousands of users to validate hypotheses quickly and deliver the value of new features to our audience in a timely manner. The team has a direct impact on the app's look and feel and its overall evolution. One of our key focus areas is identifying and implementing the optimal home screen experience, with flexible configuration options tailored to different markets worldwide. Key Responsibilities Develop and maintain iOS apps with Swift, UIKit and SwiftUI. Collaborate with cross-functional teams on feature design, system architecture, A/B experiments. Identify and resolve bugs, performance bottlenecks, offline-storage and threading issues using profiling and network-debugging tools. Guarantee code quality through unit & snapshot tests, pull-request practices that meet community guidelines. Take part in sprint planning, task decomposition. Skills, Knowledge and Expertise 4+ years of commercial iOS development. Strong grasp of iOS SDK, Swift, SwiftUI and other key iOS frameworks, plus experience with Alamofire, Snapkit. Knowledge of App Store Review Guidelines. Experience with offline storage, multithreading, modern concurrency (async await). Familiarity with RESTful APIs to connect iOS applications to back-end services. Experience with network debugging (Proxyman). Solid understanding of the full mobile development life cycle. Base knowledge in Computer Science. Understanding of Clean Architecture and common architectural patterns (MVC, MVVM, MVP, etc.) with the ability to apply them in practice. Git proficiency: branches, pull requests, responding to review feedback. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.