Вакансии

СТО в новый продукт с «0» IT Вакансии Ищем CTO с опытом в B2B, e-commerce или логистике для построения нового продукта с нуля.

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

💰 25 400 грн/міс + до 2 200 грн QA bonus.

Ищем активного и результативного Recruiter, который имеет практический опыт массового подбора и умеет работать с большим потоком кандидатов. Важно, чтобы специалист не только закрывал вакансии, но и умел самостоятельно выстраивать весь процесс подбора — от поиска кандидата до его выхода на работу.

Ищем активного и результативного Recruiter, который имеет практический опыт массового подбора и умеет работать с большим потоком кандидатов. Важно, чтобы специалист не только закрывал вакансии, но и умел самостоятельно выстраивать весь процесс подбора — от поиска кандидата до его выхода на работу.

Проект: Специалист привлекается для поддержки AI-команды (RnD AI Team), которая реализует портфель ИИ-инициатив для бизнес-подразделений компании на внутренней платформе Dify (LLM-агенты, RAG, классификация, извлечение данных из документов, интеграции через API/MCP). Подготовка тест-кейсов на основании требований и критериев приемки инициатив;

Location: Санкт-Петербург Ищем продуктового дизайнера для создания и развития бесшовного пользовательского опыта — от первого касания до повседневного взаимодействия. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него на почту, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности • разработка, презентация и защита дизайн-концепции перед командой и стейкхолдерами • проводение дизайн-ревью внутри команды, контроль качества внедрения интерфейсов • участие в пользовательских исследованиях: проводение юзабилити-тестирований, опросов, глубинных интервью Требования • опыт в UX/UI и продуктовом дизайне от 3 лет • портфолио с кейсами, где виден ход решения задачи и влияние на метрики • навык проектирования сложных клиентских сценариев и аргументации решений перед стейкхолдерами • понимание полного цикла разработки: от исследования до запуска и анализа результата • опыт работы с дизайн-системами и в кросс-функциональных командах • системное мышление, самостоятельность и умение декомпозировать сложные задачи будет плюсом • опыт в финтехе, банковских продуктах или e-commerce Условия • система обучения внутри Сбера для профессионального и карьерного развития, семинары, тренинги, конференции, воркшопы • программа адаптации и помощь бадди в первое время • ДМС, страхование от несчастных случаев, социальные гарантии • возможность согласования гибридного графика работы

Location: Lithuania; Bosnia & Herzogovina; North Macedonia; Romania; Slovakia; Slovenia; Serbia; Malta; Moldova; Montenegro; Portugal; Estonia; Latvia; Albania; United Kingdom; Czech Republic; Greece; Cyprus; Kosovo; Bulgaria; Poland; Georgia; Bosnia and Herzegovina; Turkey; Croatia; South Africa Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/b7561393-0797-4849-9149-363b09bab85c/job%20ad%20visual.png] Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us. Foxelli brings together curious people who enjoy building brands, exploring AI and making ideas happen. Our D2C brands reach millions of customers and generate more than $20M a year. Behind them is a team that cares about the products we make and enjoys figuring things out together. We like people who ask questions, try things and take responsibility for what happens next. If that sounds like how you work, keep reading. WHY JOIN FOXELLI You’ll create for our own e-commerce brands. Your ideas can go from a rough concept to a live ad, with real customer response to help you improve the next one. We make room for experimentation and expect you to bring ideas to the table. AI is part of how we work, and we’re interested in how you use it to make better creative, learn faster and simplify production. THE ROLE We’re looking for a Performance Ad Creator who can take a product, understand why someone would want it and turn that insight into a video ad that sells. You’ll own the idea as well as the execution: find the angle, write the hook and script, choose how to tell the story and produce the finished ad. You’ll work with our creative lead and media buyers to learn from results and decide what to create next. If you enjoy: - Looking through customer reviews and spotting a reason to buy that others have missed. - Figuring out why an opening makes you stop scrolling, then creating your own. - Writing copy that sounds like a real person and gives the viewer a clear reason to care. - Experimenting with footage, AI and different ways to tell a product story. - Seeing how your ads perform and coming back with a better idea. We’d love to work with someone who brings that curiosity all the way through to a finished ad. WHAT YOU WILL BE DOING Customer research and creative concepts - Get to know our products and customers. Read reviews, explore objections and study existing creative to find promising angles. - Develop original ad concepts for paid social, especially Meta. Choose a clear selling idea and a format that suits the audience. Copywriting and production - Write hooks, scripts, on-screen copy and calls to action in English. - Produce complete ads using product footage, creator content and AI-generated assets. Own the edit, voiceover, captions, sound and pacing. - Use AI throughout your workflow where it improves the result. Check that the product stays accurate and the visuals and voice feel believable. Testing and improvement - Create different openings and concept variations to test new messages, motivations and storytelling approaches. - Review results with media buyers and use what you learn to improve existing ads and develop new concepts. - Review your own work before submitting it, apply feedback thoughtfully and communicate clearly about progress and deadlines. WHAT YOU BRING - Experience creating ads. You’ve made direct-response video ads for e-commerce, with responsibility for both the concept and production. Subscription experience is a plus. - Customer understanding. You can turn a motivation, frustration or objection into a persuasive angle and clear English copy. - Strong production skills. You’re confident editing video and know how to use visuals, pacing, sound and text to keep a viewer engaged. - Practical AI skills. You use AI image, video or voice tools in real projects, can spot weak output and know how to improve it. - Performance thinking. You understand how watch time, CTR, conversion rate and CPA inform creative decisions, and can turn feedback into something worth testing. - Ownership and curiosity. You make decisions independently, care about the details and keep learning. You can take a product and a goal and move the work forward. FIXED SERVICE FEE Up to 2500 euros per month after taxes (depending on your skills, competencies, and experience we'd be happy to negotiate). PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you. ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.) Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

• Ведение и оптимизация отчетности: вы будете владельцем действующих отчетов и дашбордов (Yandex DataLens), отвечая за их актуальность и достоверность. • Анализ эффективности маркетинга: расчет и мониторинг ключевых метрик (CAC, CPL, LTV, ROMI).

Задачи: — добавление новых позиций; — редактирование характеристик; — контроль актуальности цен; — проверка фотографий и описаний; — обновление каталога. Условия: — работа из дома; — график согласовывается с командой. Требования: — опыт в e-commerce будет преимуществом, но готовы рассмотреть начинающих специалистов.

Бизнес-анализ и системный анализ для проектов внедрения ИИ / ML-решений (LLM-агенты, RAG, классификация, обработка документов). Описание текущего процесса AS IS и целевого процесса TO BE для каждой инициативы;

· Опыт работы CTO/Head of Engineering от 3-х лет в B2B, e-commerce или логистических проектах; · Практический опыт построения микросервисной или модульной архитектуры (DDD, API-first, event-driven);

Location: Ukraine; Poland; Spain; Portugal; Romania; Georgia At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for Senior Payments Processing Engineer to join us as part of our team About the role As a Senior Payments Processing Engineer you will join a product team building payment infrastructure for merchants and partner platforms. The platform enables businesses to accept payments, manage payouts, process card and bank transactions, and handle payment-related operations without relying on multiple disconnected providers. The engineering challenges go far beyond basic payment integrations. The platform handles payment orchestration, transaction processing, settlement and reconciliation, payouts, fraud and KYC integrations, and complex failure scenarios across systems that the team does not fully control. This role is a strong fit for an engineer who understands how money actually moves through payment systems and is comfortable owning critical backend flows end to end. Tech Stack TypeScript across the board, in a pnpm monorepo NestJS backend services; Next.js and React on the front end PostgreSQL, with SQL-first data modeling and versioned migrations Event-driven service orchestration, webhooks, and idempotent processing Acquirer and vendor integrations for card/ACH acceptance, fraud screening, payouts, and KYC Managed cloud infrastructure, containerized services, CI/CD on GitHub AI-assisted development as a standard part of the toolchain, not a side experiment Work environment Full-time, remote. Daily collaboration with a US-based team (4–6 hours of overlap with US Central Time is required) As a qualified expert You will Own end-to-end payment flows in TypeScript/NestJS services: authorization, capture, void, refund, dispute handling, and payout initiation and confirmation. Build and maintain acquirer and processor integrations, keeping the platform acquirer-agnostic behind clean internal abstractions. Design embedded and hosted checkout experiences (hosted fields, iframes, tokenization) that keep sensitive cardholder and bank data out of internal systems and minimize PCI scope. Implement fee calculation and rate logic, including tiers, interchange-plus, flat structures, rounding rules, special rates, and edge cases. Build the reconciliation and settlement layer to match processor reports and settlement files against internal records and surface breaks. Design event handling incorporating idempotency keys, out-of-order and duplicate webhooks, retries with backoff, and state machines. Integrate fraud, bank-account verification, and KYC providers, tuning decisioning against real outcomes. Handle ACH mechanics including submission windows, returns, return codes, NOCs, and retry rules. Ensure correctness in the domain, maintaining complete audit trails and producing reconciliation evidence. Act as the team's payments expert, advising product on rail capabilities and reviewing payment-adjacent code. What Success Looks Like First 30 days — you can trace any transaction through the platform end to end, and you have documented the gaps and risks you see in current flows. First 90 days — you own a critical payment domain including its specs, tests, and reconciliation checks, and you have shipped a meaningful improvement to reliability or correctness. First 6 months — payment orchestration in your area is provably correct and observable, adding a new processor or payout rail is a well-understood exercise rather than an adventure, and you are the person the team and the business rely on for payments judgment. We're looking for you if you have 6+ years building production software , with at least 3 years hands-on in payments , and direct ownership of live payment flows. Concrete experience integrating a payment processor, gateway, or acquirer (Adyen, Stripe, Braintree, Worldpay, Checkout.com, Fiserv, or similar) beyond a starter integration — including webhooks, reporting, and edge-case handling. Practical understanding of the card lifecycle (auth, capture, settlement, refund, chargeback, representment) and of ACH/bank rails (NACHA basics, returns, timing). Working knowledge of PCI DSS obligations and of the architectural patterns that reduce scope: tokenization, hosted fields, iframe isolation, and data-flow segregation. Strong TypeScript/Node.js skills and solid relational data modeling — you can design a schema whose invariants make an inconsistent ledger structurally difficult. A rigorous approach to reconciliation and idempotency, informed by having been on the hook when something didn't balance. Fluency with modern AI-assisted development tooling, paired with the discipline to verify — in payments, plausible-looking code that is subtly wrong is the expensive kind. Strong English communication skills and confidence working directly with a US-based team. Ability to work with 4–6 hours of daily overlap with US Central Time . Bonus points Experience with platform, marketplace, or facilitator models (split payments, sub-merchant onboarding, multi-party flows). Experience with payouts and disbursement rails, including bank-account collection, verification, and payout status handling. Experience with fraud and risk tooling, and bank-account validation services. Experience with e-commerce plugin or SDK development (WooCommerce, Shopify, Magento). Knowledge of multi-currency, cross-border, or alternative payment methods. Experience with event sourcing applied to financial state, and double-entry ledger design. What's in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with Recruiter Technical Interview Client Interview.

Location: Yerevan, Armenia Description As a key member of our growing research team, the Market Intelligence Expert serves as the company's eyes and ears across the global iGaming landscape. This role is responsible for tracking industry movements, competitive dynamics, regulatory shifts, and market-level signals that inform Digitain's strategic direction across Sales and Product functions. The Market Intelligence Expert occupies a critical position at the intersection of research and strategy. You will be responsible for monitoring and synthesizing information across competitors, emerging markets, regulatory bodies, and industry events — transforming raw intelligence into actionable insights that power Digitain's commercial and product teams. Responsibilities Monitor and analyze emerging trends in the iGaming industry — including regulatory changes, technological advancements, market shifts, and upcoming innovations Track major players in the iGaming ecosystem by reviewing quarterly and annual reports, financial performance, revenue growth, and strategic announcements Evaluate sales and market growth by region, assessing key growth indicators, player acquisition trends, and penetration in both regulated and emerging markets Research product developments across the iGaming industry, including new tools, features, and integrations, and their potential market impact Assess operational network expansion — tracking growth in B2C operator networks and B2B partnerships, including platform adoption rates Monitor industry activity across public sources, including websites, conferences, press releases, and social media Identify early signals of market expansion across the industry Conduct competitive analyses of key iGaming players, including performance benchmarking and threat/opportunity identification Prepare and deliver high-quality research outputs: detailed reports, trend summaries, competitive landscapes, and presentations for internal stakeholders Source and validate data from industry reports, financial filings, news platforms, conferences, and proprietary tools Collaborate with team members to translate research findings into strategic recommendations and contribute to BRD/PRD preparation Proactively anticipate industry shifts (e.g., new regulations in Latin America, Asia, Africa) and alert relevant teams to emerging risks or opportunities Requirements Bachelor's or Master's degree in Business, Economics, Marketing, Finance, or a related field 5+ years of experience in market research, competitive intelligence, business analysis, or strategic research, with a strong preference for candidates from iGaming, fintech and e-commerce Proven track record of owning market intelligence or competitive analysis functions and reporting insights as market conditions change Deep, demonstrable knowledge of the global iGaming ecosystem: sportsbook and casino platforms, B2B/B2C business models, payment solutions, and regulatory frameworks across key regions is preferable Experience analyzing financial/annual reports, investor disclosures, industry publications and market data to assess and validate competitor performance and strategic direction. Strong strategic and critical thinking skills — able to identify and connect non obvious signals (regulatory shifts, hiring trends, product launches, social/media activity) into them into early-warning insights Ability to turn complex research into clear, decision-ready reports and presentations for stakeholders and leadership Experience with competitive intelligence platforms (e.g., Similarweb, H2gc, LinkedIn Talent Insights) is a strong plus Ability to work autonomously and take full ownership of the market intelligence function, setting priorities with minimal oversight Strong stakeholder management skills — able to balance competing requests from Sales and Product teams and prioritize based on strategic impact Proven ability to manage multiple concurrent research streams under tight timelines in a fast-moving, competitive industry Fluency in English (written and spoken); additional languages (Russian, Spanish, Portuguese) are a plus

Location: Kazakhstan; Serbia; Uzbekistan We are looking for a Technical Support Specialist ! Key responsibilities 1. Investigate technical requests from internal users related to hotel and room availability. Key metric: Valid CSAT. 2. Handle alerts related to drops in availability: analyze issues, develop and test hypotheses, and monitor progress toward restoring availability metrics. Key metric: Hotel and room availability rates by brand, partner, and supplier. 3. Reduce the workload of Development and QA teams by continuously deepening technical and functional expertise.Key metric: Percentage and quality of escalations. 4. Contribute to building and optimizing internal processes and improving the product. This includes regular meetings with the Product team, managing projects, creating and maintaining documentation, developing AI-powered automations, and other process improvement initiatives. Requirements 1. Experience in technical support, integrations, or IT operations. 2. Autonomy and proactivity are key requirements for this role. There is no constant micromanagement within the team. The specialist is expected to plan their work independently, set priorities, respond to changing circumstances, and proactively initiate necessary actions. 3. Ability to independently investigate technical issues by collecting data, formulating and testing hypotheses, identifying root causes, or isolating the source of a problem. 4. Experience working with logs, monitoring tools, and metrics. Experience with Grafana is a plus. 5. Understanding of HTTP/API concepts, response codes, requests and responses, and the ability to read and interpret JSON/XML. 6. Basic SQL skills for independently querying and validating data. 7. Ability to escalate issues to Development effectively by clearly documenting symptoms, business impact, troubleshooting steps, and collected evidence. 8. Strong communication skills, including the ability to facilitate calls with developers, internal users, suppliers, and stakeholders, adapting explanations to the audience. 9. Conversational English at B2 level or equivalent practical proficiency for work-related calls and written communication. 10. Ability to document solutions and contribute to continuous process improvement. Preferred skills Experience in travel or e-commerce, external integrations support, automation, and the use of AI tools would be a great plus. Benefits Opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: emergingtravel.com/career/hr-policy

Location: Washington D.C. Workplace: Remote Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! The role You will be our first policy and government relations hire. You'll build Tempo's presence in Washington from the ground up. You'll represent us on Capitol Hill, with regulators, and across industry coalitions, and you'll help the company understand and shape the rules that govern stablecoins, digital payments and agentic commerce. We're looking for a seasoned senior leader who is not afraid to roll up their sleeves. As our first policy and government relations hire, you’ll set the strategy and run it yourself. You will be our voice to Congress and regulators. You will also be a strategic partner to Legal, Product, Comms/Marketing, and GTM, shaping how policy factors into product decisions from the earliest stage. Context shifting will be critical to success; the best candidate will understand how to move between strategy and execution hour to hour and day to day. Responsibilities - Build and run Tempo's federal government relations strategy, with a focus on stablecoin, payments, digital assets and agentic commerce legislation and rule making - Develop and maintain relationships with Members, committee staff and relevant regulators - Engage on emerging AI and agentic commerce policy as it intersects with payments - Track and analyze federal and key state policy developments, then turn them into clear guidance for leadership and product teams - Draft comment letters, testimony, white papers, one-pagers, and briefing materials - Build and manage Tempo's presence in trade associations and industry coalitions, and build alliances across the payments, fintech, and AI ecosystems - Support company leadership in DC engagement - Manage outside lobbying and policy consultants as needed - Own the policy function end to end as a hands-on individual contributor Required qualifications - 8+ years of policy or government relations experience - In-house government relations experience at a payments, fintech, financial services, or technology company - Experience with payments policy, including stablecoins, money transmission, BSA/AML, card networks, real-time payments, or fintech regulation - Strong relationships and credibility on both sides of the aisle - Direct experience with digital asset policy, such as stablecoin legislation and implementation, market structure, or tax - Excellent written and oral communication skills: you can turn complex technical and regulatory issues into crisp, persuasive material - A self-starter comfortable working in a fast-moving startup, and quickly toggling between strategy and execution Preferred qualifications - Prior Capitol Hill experience, preferably on financial services, banking, or agriculture issues - Experience with AI or agentic commerce policy - Multi-client experience at a lobbying firm, consultancy, or trade association - Familiarity with federal agency rulemaking and regulatory engagement Attributes - High motor; speed is a cherished attribute at Tempo - Concise, evidence-based communicator - Intense curiosity and open-mindedness - Scrappiness; willingness to roll up sleeves

Мы развиваем международную продуктовую платформу в сфере CS2 и ищем руководителя клиентского сервиса, который возьмёт на себя управление командой поддержки и построит масштабируемую систему работы с пользователями. Сейчас клиентский сервис — одна из ключевых точек роста продукта. Нам нужен не администратор текущих процессов, а сильный операционный руководитель, способный выстроить функцию практически с нуля: внедрить SLA, стандарты качества, аналитику, автоматизацию, обучение команды и понятную систему взаимодействия с другими подразделениями. Главная цель роли: Превратить службу поддержки из реактивной команды, обрабатывающей обращения, в системную функцию клиентского сервиса, которая: — быстро и качественно решает проблемы пользователей; — повышает доверие к платформе; — снижает отток клиентов; — помогает возвращать пользователей в продукт; — выявляет системные проблемы и передаёт их продуктовой команде; — автоматизирует большую часть типовых обращений; — работает на основании прозрачных метрик и SLA. Основные задачи: — Управлять командой клиентского сервиса численностью около 11 человек. — Провести аудит процессов, нагрузки, структуры обращений и эффективности сотрудников. — Разработать и внедрить SLA по типам и приоритетам обращений. — Выстроить многоуровневую модель поддержки: база знаний и автоматизация → L1 → L2 → профильный отдел. — Определить правила эскалации сложных, финансовых и конфликтных кейсов. — Создать регламенты, инструкции, шаблоны ответов и единую базу знаний. — Сформировать Tone of Voice и стандарты коммуникации с пользователями. — Внедрить систему контроля качества диалогов и регулярного QA. — Настроить обучение, аттестацию и развитие сотрудников. — Создать прозрачную систему метрик и отчётности по работе поддержки. — Внедрять AI-инструменты, чат-ботов и сценарии самообслуживания. — Автоматизировать типовые обращения по платежам, промокодам, трейдам, статусам предметов и другим повторяющимся вопросам. — Выстроить систему Voice of Customer: собирать причины обращений, жалобы и предложения пользователей, превращая их в задачи для продукта. — Обеспечить взаимодействие поддержки с Product, Development, Payments, CRM, Marketing и другими подразделениями. — Управлять инцидентами и массовыми обращениями пользователей. — Планировать необходимую численность команды, смены и нагрузку. — Сформировать систему мотивации сотрудников, связанную не только со скоростью, но и с качеством решения проблем. Цели на первые 30 дней: — Провести полный аудит клиентского сервиса. — Зафиксировать текущие показатели и определить базовую точку по SLA, FRT, FCR, CSAT, QA, повторным обращениям и нагрузке. — Классифицировать основные причины обращений пользователей. — Выявить критические разрывы в клиентском пути. — Описать зоны ответственности и правила эскалации. — Подготовить план трансформации клиентского сервиса на 90–180 дней. Цели на первые 60 дней: — Внедрить базовые SLA и приоритеты обращений. — Запустить регламенты обработки ключевых типов запросов. — Сформировать и внедрить Tone of Voice. — Запустить базу знаний и единые шаблоны ответов. — Внедрить QA-карту и регулярную оценку качества диалогов. — Настроить управленческий дашборд по ключевым метрикам. — Организовать регулярное обучение и обратную связь для команды. — Запустить понятный процесс взаимодействия поддержки с другими отделами. Цели на первые 90 дней: — Обеспечить выполнение SLA не менее чем по 85% обращений. — Довести FCR — долю вопросов, решённых за одно обращение, — минимум до 70%. — Снизить долю повторно открытых обращений до 10% и ниже. — Довести внутреннюю оценку качества диалогов до 85–90%. — Запустить автоматизацию наиболее частых типов обращений. — Сформировать регулярный Voice of Customer-отчёт для руководства и продуктовой команды. — Снизить количество зависших и незакрытых обращений. — Создать прозрачную систему оценки эффективности каждого сотрудника. Цели на 6–12 месяцев: — Целевые значения должны быть подтверждены после фиксации текущей базы, но ожидаемые ориентиры следующие: выполнение SLA — 90% и выше; — CSAT — 85% и выше; — FCR — 70–80%; — QA Score — 90% и выше; — доля повторных обращений — не более 10%; — автоматизация 50–70% типовых обращений; — снижение ручной нагрузки на команду на 40–60%; — снижение стоимости обработки одного обращения минимум на 30%; — сокращение критических жалоб и эскалаций; — измеримое снижение оттока пользователей после обращений в поддержку; — формирование стабильного потока продуктовых улучшений на основании обращений клиентов. Ключевые показатели роли: — First Response Time. — Average Resolution Time. — SLA Compliance. — First Contact Resolution. — CSAT. — QA Score. — Reopen Rate. — Backlog и количество незакрытых обращений. — Количество обращений на одного активного пользователя. — Доля автоматизированных обращений. — Cost per Contact. — Retention пользователей после обращения. — Количество выявленных и устранённых системных причин обращений. Наши ожидания от кандидата: — Опыт управления клиентским сервисом или поддержкой от трёх лет. — Опыт управления командой от 10 человек. — Практический опыт построения или серьёзной перестройки службы поддержки. — Понимание SLA, FCR, CSAT, QA, WFM и других операционных метрик. — Опыт создания регламентов, базы знаний и системы контроля качества. — Умение работать с аналитикой, находить причины проблем и принимать решения на основании данных. — Опыт внедрения автоматизации, чат-ботов или AI-инструментов. — Умение работать со сложными, конфликтными и финансовыми обращениями. — Сильные навыки управления командой: найм, адаптация, обучение, мотивация и performance management. — Способность взаимодействовать с продуктом и разработкой и добиваться устранения первопричин обращений. — Умение одновременно повышать качество сервиса и контролировать его экономическую эффективность. Будет преимуществом опыт в gaming, iGaming, fintech, crypto, marketplace, e-commerce или другом высоконагруженном B2C-продукте. Какого человека мы ищем: Нам нужен системный и самостоятельный руководитель, который умеет не только управлять людьми, но и строить процессы. Человек, способный погрузиться в реальные обращения пользователей, найти корневые проблемы, сформировать целевую модель и довести изменения до измеримого результата. У руководителя будет необходимый уровень полномочий для изменения процессов, внедрения инструментов и взаимодействия с другими подразделениями.