Вакансии

💎 Stark Games ищет QA Engineer для флагманского проекта — казуальной игры «Ёлочка»: предстоит изучать продукт, процессы и документацию, тестировать игру в социальных сетях и на мобильных платформах, вести тест‑документацию (тест‑планы, чек‑листы), заводить и оформлять дефекты, контролировать их устранение, взаимодействовать с другими отделами.

Zадачи: — Проведение тестирования программного обеспечения. — Использование SQL и PostgreSQL для проверки данных. — Работа с Linux-средой. — Тестирование API, включая REST. — Тестирование мобильных приложений на Android и iOS. — Автоматизация тестирования с использованием Selenium. Требования: — Опыт работы от 1 до 3 лет в области QA. — Знание QA методологий и умение работать с Use case. Условия: — Работа в офисе в городе Ташкент. — Зарплата от 500 до 800 долларов США в месяц.

Location: Kyiv; Remote (Ukraine) Workplace: Remote About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise. What you will do: - Test features against requirements — analyze acceptance criteria, design flexible and resilient test scenarios using test design techniques to maximize coverage and minimize risks. - Document and prioritize defects — create reproducible steps, attach screenshots/logs, and provide clear descriptions to speed up bug fixing. - Maintain test documentation — checklists, regression notes. Keep documentation up-to-date and scalable as the product grows. - Prepare Release Candidates for production – Validate build stability – Work with configuration files (JSON): verify flags, values, and conditions affecting production functionality - Set up and validate A/B tests — help define conditions and ensure experiments run correctly for target user segments. - Take ownership of quality — understand how testing impacts product, users, and business. Be able to defend quality decisions and take initiative in edge cases. - Participate in cross-team activities — planning, retros, discussions. Maintain product quality through collaboration with development, analytics, design, and marketing. Key qualifications: - 2+ years of QA experience, preferably in mobile or cross-platform products. Ability to work with requirements, independently design test scenarios, and assess risks. - Strong understanding of mobile platforms (iOS & Android): architecture basics, UI/UX patterns, background behavior, permissions, and app lifecycle. - Ability to select test devices — justify device/OS selection based on target audience, market, and product specifics. - Understanding of iOS Sandbox and Google Wallet — limitations, security policies, and testing specifics for payments and authorization flows. - Experience with mobile testing and debugging tools: – Charles Proxy (traffic interception & analysis) – Xcode & Android Studio (logs, simulators/emulators, builds) – Jenkins or other CI/CD tools (pipeline & logs understanding). Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs. - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace. - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday. - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year. - 100% Sick Leave Compensation. - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs. - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools. - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses. - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart. - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Zадачи: — Работа в качестве QA инженера. Требования: — Опыт работы от 1 до 3 лет. — Знание SQL, Git, Android, iOS, REST, API. — Умение работать с Postman и Jira. Условия: — Работа в офисе в городе Ташкент. — Зарплата обсуждается индивидуально.

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. 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 personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. 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. If your timeline is tight, tell us and we'll move faster. 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

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. 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 personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. 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. If your timeline is tight, tell us and we'll move faster. 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

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. But we’ve got more left to do — and that’s where you come in! Duolingo is the world's most popular learning app. Beyond our core learning product, we also offer English proficiency testing with the Duolingo English Test, and are bringing new subjects into the Duolingo app, where people can develop their Math and Music skills. We are passionate about educating our users, making fact-based decisions, and finding innovative solutions to complex problems. We offer meaningful work, limitless learning opportunities, and collaboration with world-class minds. Come brighten your life and over half a billion more! About the role... As a QA Specialist I, you will support the delivery of high-quality Duolingo experiences by testing new features across iOS, Android, and Web. Embedded within a cross-functional product team, you will partner with engineers, product managers, and designers to identify issues, communicate quality risks, and advocate for learners. You will build product and testing expertise while receiving guidance from more experienced QA teammates. 🧠  You will... Manually test new features across iOS, Android, and Web using regression, exploratory, and acceptance testing Perform sanity checks on Duolingo release and branch builds, and help validate bug fixes before and after deployment Write clear, detailed, and reproducible bug reports, and collaborate with engineers and teammates to diagnose issues Build deep knowledge of Duolingo products and ask thoughtful questions about expected behavior, edge cases, and the learner experience Identify potential quality issues and raise risks with guidance from more experienced QA teammates Prioritize testing tasks within assigned projects, focusing on areas with high learner impact Advocate for learners by evaluating features for correctness, clarity, and usability Follow and contribute to QA processes, documentation, and procedures while learning how quality practices scale across teams Communicate progress, questions, and blockers clearly to cross-functional partners ✅  You have... Graduated between Spring 2025 - Spring 2026 with a bachelor’s degree in a related field Experience testing consumer mobile or web applications Strong attention to detail and an interest in finding, reproducing, and documenting software issues Clear written and verbal communication skills The ability to collaborate effectively with engineers, product managers, designers, and QA teammates An organized approach to managing assigned work and changing priorities Curiosity, sound problem-solving skills, and a commitment to high-quality work The ability to ask questions, incorporate feedback, and build expertise in an evolving product environment ⭐  Exceptional candidates will have... Familiarity with basic automation tools, lightweight scripting, or AI-assisted testing tools, even if not a primary responsibility Familiarity with regression, exploratory, acceptance, or usability testing Experience writing reproducible bug reports or working with issue-tracking tools Familiarity with the Duolingo app The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $68,000 — $78,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Проект: мобильное приложение под iOS и Android с монетизацией, аналитикой, авторизацией через социальные сети и Firebase backend.

Ищем Flutter-разработчика в команду B2C-продукта в сфере AI / Generative AI. Разрабатываем платформу с интеграцией современных нейросетей и LLM-моделей.

- Владеть родительским приложением и бэкендом: привязка устройства, аккаунты, родительский контроль, история активности, удаление данных. - Выпускать релизы iOS и Android со staged rollout и откатами.

KORPA is looking for an experienced Flutter developer to build and improve our mobile app for iOS and Android on a project basis. Requirements - 10+ years of Flutter/Dart and native iOS and Android commercial development experience.

Location: Москва Workplace: Комбинированный Мы разрабатываем крупнейший мессенджер в России, чтобы соединять людей, сервисы и компании. Создаём простые и удобные инструменты коммуникации. Сейчас развиваем платформу и ищем QA-инженера. Задачи Тестирование клиентских приложений на iOS, Android, Web, Desktop Тестирование API Ведение тестовой документации Описание тест-кейсов Работа с поддержкой Ведение эпиков/фич со стороны тестирования Проведение регрессионного тестирования внутри релизного цикла Требования 2+ года опыта в тестировании (fullstack) Опыт тестирования сложных пользовательских продуктов Опыт тестирования iOS-native, Android-native, web-приложений Понимание полного цикла разработки ПО Уверенное знание клиент-серверной архитектуры

• 5+ years of Java backend development experience. • Strong Spring Boot, REST APIs, microservices and SQL skills.

Location: Ukraine; Czech Republic; Bulgaria; Latvia; Hungary; Lithuania; Bosnia & Herzegovina; Estonia; Serbia; Poland; Khazakstan; Armenia; Türkiye; Romania; Slovakia Workplace: Remote Location: Fully Remote (CET) Start Date: ASAP Language: Fluent English required Type: Full-time (Contractor) – 3-month contract to start, with the opportunity to extend ABOUT THE OPPORTUNITY Pragmatike is recruiting on behalf of a fast-growing AI consumer technology company seeking a Lifecycle & CRM Specialist to build and optimize customer communication strategies across the entire user journey. You'll own lifecycle marketing initiatives designed to improve user activation, subscription conversion, retention, and re-engagement. Working closely with product, marketing, and data teams, you'll develop automated communication flows, audience segments, and personalized campaigns across email, in-app messaging, and push notifications. This is a hands-on role for someone who combines strong CRM expertise, analytical thinking, and an understanding of consumer subscription products, with the ability to build and execute lifecycle strategies independently. WHAT YOU'LL DO - Develop and manage lifecycle marketing programs covering onboarding, activation, subscription conversion, renewals, and win-back campaigns. - Build automated email journeys and personalized communication flows across the customer lifecycle. - Identify opportunities to convert free users into paying subscribers through targeted messaging and offers. - Develop re-engagement campaigns to reactivate inactive users and existing customer segments. - Create audience segments using behavioral, product, and subscription data. - Collaborate with product and marketing teams to optimize in-app messaging, push notifications, and other communication channels. - Design and run A/B tests to optimize messaging, timing, offers, and channel performance. - Monitor campaign performance, deliverability, and customer engagement metrics. - Analyze results and connect lifecycle initiatives to revenue, conversion, and retention outcomes. - Ensure communication strategies comply with applicable privacy regulations and consent requirements. WHAT WE'RE LOOKING FOR - Proven experience in lifecycle marketing, CRM, or retention marketing, ideally within a consumer subscription business. - Hands-on experience building automated campaigns and customer journeys using platforms such as Braze, Customer.io, Iterable, or Klaviyo. - Strong understanding of customer segmentation, personalization, and lifecycle automation. - Analytical mindset with the ability to independently build segments, analyze campaign results, and optimize performance. - Experience managing email deliverability, list health, and campaign performance. - Understanding of GDPR, CAN-SPAM, consent management, and international communication requirements. - Strong copywriting skills and the ability to create or refine effective customer communications. - Ability to develop strategy and independently execute campaigns. - Excellent written English. NICE TO HAVE - Experience with in-app messaging and push notifications across iOS and Android. - Knowledge of email deliverability, domain reputation, and reactivation of dormant mailing lists. - Familiarity with subscription billing platforms and associated customer lifecycle events. - Experience working with consumer applications where customer trust and communication tone are particularly important. - Experience optimizing subscription revenue and customer lifetime value. WHY JOIN? This is an opportunity to build and own the lifecycle marketing strategy of an innovative AI consumer product used by millions of people worldwide. You'll have the autonomy to develop new communication programs, experiment with different approaches, and directly influence subscription growth and long-term customer retention. The company offers flexible working hours, generous vacation policies, a fully remote work environment, and the opportunity to influence the future of AI-powered consumer experiences. Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

Ищем опытного FB Media Buyer в международную медиабаинговую команду в сфере iGaming, пространство для профессионального роста с экспертизой более чем на 38 рынках. - Опыт в iGaming от 2 лет.

Workplace: Краснодар (гибрид/офис) Привет! Ищем инженера сопровождения (3-я линия) из Краснодара в команду развития медиаконтента. Занимаемся развитием и сопровождением in-store медиа-оборудования на базе ОС Android: TV, прайсчекеры, дисплеи покупателя, LED экраны и др. Всё, через что транслируется контент и продаётся реклама. Задачи Работать на 3-ей линии технической поддержки медиа (in-store) оборудования на базе ОС Android (TV, прайсчекеры, дисплеи покупателя, LED экраны и др.) Работать с внешними контрагентами по вопросам сервиса: формировать заявки, контролировать выполнение, проверять отчёты Контролировать и помогать контрагентам в решении вопросов, возникающих во время проведения работ по первичному монтажу медиа (in-store) оборудования на торговых объектах Заниматься приемкой монтажа по фото и видео отчетам, отрабатывать замечания Взаимодействовать с внутренними техническими командами по вопросам работоспособности оборудования. Получать заключения от 2-ой линии поддержки, анализировать и отправлять заявки на ремонт Требования Знание устройства ПК и мобильных устройств Понимание особенностей операционных систем Linux и Android: настройка, сброс, восстановление. Будет плюсом прикладной опыт в настройке и администрировании ОС Знание работы ЛВС: основные компоненты сети, принципы устройства, основные составляющие, частные проблемы. Будет плюсом прикладной опыт работы с сетями и сетевым оборудованием Понимание основных сетевых протоколов (TCP/UTP, HTTPS, DNS, DHCP, SSH, DRP, IP, FTP и т.д.) Продвинутые навыки работы в Excel: сводные таблицы, формулы, макросы Будет плюсом Опыт работы сервисным инженером, системным администратором или эникеем 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 Гибридный формат в Краснодаре (ул. Солнечная) Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач Наличие корпоративных скидок и программ лояльности Наличие корпоративной библиотеки курсов Формат работы Краснодар (гибрид/офис)

Workplace: Удаленно RWB (Wildberries&Russ) — это международная технологическая компания, образованная в результате слияния двух лидеров рынка — IT-компании Wildberries и оператора наружной рекламы Russ. Обязанности Проводить ручное функциональное тестирование новых фич мобильного приложения для покупателя (iOS/Android); Проводить регрессионное и интеграционное тестирование; Описывать результаты тестирования, вести базу баг-репортов и тест-кейсов; Разбирать фичи после релиза. Требования Опыт тестирования мобильных приложений от 3 лет; Опыт работы с Android Studio и Xcode; Опыт работы с Git; Опыт работы с Postman, Charles/Fiddler/Proxyman; Желание разбираться во всех деталях клиентской логики и клиент-серверной архитектуры; Опыт тестирования WEB сервисов будет плюсом. Условия Обучение и развитие: языковые клубы, собственный корпоративный университет, программы развития управленческих навыков и многое другое; Благополучие сотрудников: корпоративный пакет ДМС со стоматологией, корпоративный спорт, консультации психолога и дополнительные возможности аккредитованной IT-компании; Множество сообществ: клуб спикеров, футбола, йоги, шахмат и т.д.; Забота о семьях: создаем условия, в которых легко сочетать карьеру и заботу о близких – от гибкого подхода до масштабных проектов для детей сотрудников; Скидки и партнерские программы: на обучение, страхование, покупки и многое другое; Комфортная рабочая среда: бесплатное питание в офисе, современные офисы рядом с метро, корпоративная техника и портал для сотрудников.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. How would you like to influence the most successful gaming platform of all time by validating the very technology our developers use to build extraordinary games? Role Summary: Sony Interactive Entertainment (PlayStation) is seeking a Software Development Engineer in Test (SDET) to provide hands-on engineering excellence across our SDK ecosystem. This role focuses on building tools and infrastructure for analyzing the quality of the PlayStation SDK and related technology. While this is the primary domain, there are opportunities to expand into 3D graphics, spatial audio, artificial intelligence, and the fully integrated PlayStation game development environment. We are looking for someone who wants to directly impact PlayStation technology by developing tools and automated systems that deeply analyze SDK components and platform capabilities. You will help strengthen and evolve our testing infrastructure, raise the technical bar for quality engineering, and drive confidence in every release. If you’re passionate about solving complex system-level challenges and influencing technology used by people around the world, we want to hear from you, come help us power the future of PlayStation! What You'll Be Doing: - Crafting and improving automated test cases, sample applications, testing tools and frameworks for SDK libraries and low level software (C++) - Build and improve test infrastructure using Python and Groovy to simplify building, testing, and demonstrating PlayStation® sample applications. - Monitor test infrastructure, analyze automation failures, improve reliability, and optimize runtime performance. - Partner closely with software production and offshore teams to compose robust test plans, validation strategies, and documentation. - Define scalable, maintainable automation and infrastructure patterns that support long-term platform growth. - Contribute to architectural discussions for test systems spanning C++, embedded firmware (C), and Python-based infrastructure. - Identify technical risks early and drive mitigation strategies to protect release confidence. What We're Looking For: - Excellent interpersonal skills, including presenting technical direction to both engineers and executives. - Strong programming proficiency in Python & C++, as well as PyTest and GTest frameworks. - Self-directed, committed to producing strong results, and passionate about high-quality automation. - Experience building, running, and debugging software in both Windows & Linux environments. - Deep understanding of automation trade-offs and architectural design decisions. Nice-to-Have: - Exposure to Android platform, including SDK, tooling and architecture - Prior experience with PlayStation SDK development is helpful. - Familiarity with Unity, Unreal Engine or other game engine technology. - Containerization technology such as Docker and Kubernetes. - Proven experience leading complex debugging efforts. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.