Вакансии

Ищем UX/UI-дизайнера, который сможет самостоятельно выстроить дизайн-процесс, исследовать предметную область и спроектировать интерфейсы сложной корпоративной системы, активно используя ИИ-агентов в работе. — Проектировать модули ERP: паспорт мероприятия, календарь, поручения, заявки,.

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: Austin, TX Workplace: remote Maps Quality Tester   Welocalize is seeking a Maps Quality Tester with a background in GIS or previous maps experience. In this exciting role, you will be working at a leading consumer technology company as a contributor to the finished products released in target markets across the globe.  The ideal candidate is a brilliant problem solver, quick study, self-starter, and excellent communicator with a passion for shipping quality products. The ability to think on your feet and to deliver results in a fast-paced environment is a must. If you’re an avid cyclist who tracks your performance across different routes, that is considered relevant experience and a strong plus!  Our testers will work closely with the development team to ensure the client organization ships the highest quality application. The candidate should possess the ability to quickly grasp and distill highly complex matters into clean, understandable reports. The candidate must also be an effective diplomat with strong communication and organizational skills, who is willing to prove him or herself within a company of talented individuals.  Project Details Location: Austin (Texas) Work Type: Remote Shift Timings: 10:00 AM - 7:00 PM (CST) Type: Full Time (12 months Contract with possible extension) Pay Rate: $23/hour REQUIREMENTS: Proficient in using iOS and MacOS (desirable) Working knowledge of maps and web-based mapping products Good written and spoken English Experience working with data and spreadsheets Familiarity with using mobile devices for driving navigation e.g. Apple Maps, Google Maps Creative thinker and able to understand the product from the user's perspective Organised and self-sufficient, able to work remotely without direct supervision Ability to explain technical details in clear and concise reports Bachelor’s degree or higher preferred (Geography, Cartography, or related field preferred) Austin-based (but you'll be working from home in Austin) Job reference: #L1-CC1

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.

Location: Brussels, Belgium Workplace: hybrid Location: Any MSF office* Contract: Full-time Duration: This role is subject to two terms of 3 years each (maximum 6 years) Starting date: 01.03.2027 Deadline to apply: 23.11.2027 Compensation and Benefits: MSF practice is to offer the compensation and benefits package in line with the MSF entity offering the contract *By default, the successful candidate will be offered a contract in the MSF office, able to issue a contract, of their country of residence at the time of application. If no MSF office exists in their country of residence, the successful candidate will be expected to relocate to a country where an MSF office can issue a contract, provided the local legislation allows for that. At MSF, we are committed to an inclusive culture that encourages and supports the diverse voices of our employees. We welcome applications from individuals of all genders, ages, sexual orientations, nationalities, races, religions, beliefs, ability status, and all other diversity characteristics. MSF is committed to preventing abuse, inappropriate behaviour, lack of integrity and financial misconduct in its work and care spaces. The successful candidate will be expected to comply with the organisation’s safeguarding policies and standards of professional behaviour. We are committed to removing barriers for people with specific accessibility needs. If you need an adjustment to the recruitment process to be considered for the role, please let us know from the beginning of the selection process. MSF International Médecins Sans Frontières (MSF) is an international, independent, medical humanitarian organisation that delivers emergency aid to people affected by armed conflict, epidemics, healthcare exclusion and natural disasters. MSF offers assistance to people based only on need and irrespective of race, religion, gender or political affiliation. MSF International is the legal entity that binds MSF’s 26 sections, 28 associations and 16 branch offices together. Registered in Switzerland, MSF International provides coordination, information and support to the MSF Movement, as well as implements international projects and initiatives as requested. I. CONTEXT MSF’s operational independence rests on its financial independence: 98 per cent of our funding comes from private sources, raised by 42 decentralised fundraising markets under the movement-wide Global Private Fundraising Strategic Framework (currently GPS 3.0, 2024–2030) and generating a private income of €2.5 billion in 2025. The International Fundraising Coordinator provides executive leadership for movement-wide fundraising coordination and chairs, as a non-voting member, the international fundraising platform (DirFund), which sets the fundraising strategy for the MSF Movement, and the Full DirFund (all fundraising directors). As a member of the International Office Leadership Team (IO-LT), the position contributes to IO direction, policy and other movement priorities, heads the International Office Fundraising Department (FR-IO), composed of 12 staff, with an annual budget of approximately €1.3 million, co-leads the International Digital Engagement Unit (IDEU, seven staff) with the International Communications Coordinator and works closely with the International Finance Coordinator, MSF’s Boards and General Directors. Moreover, the International Fundraising Coordinator represents MSF in external fora, e.g. in the International Fundraising Leadership Forum (IFLF). The role involves regular international travel. II. PURPOSE OF THE JOB Provides executive leadership to strategise, direct and oversee the development and execution of MSF’s global fundraising strategy and its governance across the Movement’s decentralised fundraising entities, aligning sections, offices and international platforms to secure sustainable, independent private income for MSF’s operational and organisational ambitions. III. ACCOUNTABILITIES 1. Lead the development, implementation, monitoring and course-correction of MSF’s global fundraising strategic framework (GPS) in line with MSF’s mission and movement-wide priorities, to ensure sustainable growth and diversification of private income. Define and steer the GPS cycle with the DirFund and fundraising directors, translating the movement’s vision into shared priorities, enablers and targets. Monitor and analyse global fundraising performance, income and cost alike, and initiate corrective action where targets are at risk. Provide thought leadership on global fundraising trends, innovation (including digital and AI-driven change) and emerging markets, shaping the movement’s response. Advise on the fundraising potential of new markets and programmes, on fundraising investments and on organisational design for income generation across the Movement. 2. Direct the international fundraising governance processes (DirFund and Full DirFund) as well as the Funding Coordination Community of the ODs within MSF’s federated structure, to ensure effective, timely collective decision-making and coherent follow-through across the movement. Chair and steer the DirFund and the Full DirFund, shaping their priorities, agendas and decision-making in line with MSF’s mission and organisational needs. Broker alignment between sections and offices on complex fundraising-related issues, balancing local ownership of strategies with movement-wide interests. Drive accountability for DirFund decisions, annual priorities and workplan, ensuring that commitments are implemented, monitored and escalated where necessary. Align the fundraising agenda with other international, executive and operational platforms, Funding Units at the Operational Directorates (ODs) and relevant committees, task forces, and working groups, advancing SPARC-related and other movement-wide priorities. 3. Develop and oversee MSF’s international fundraising policies, principles and standards within MSF’s ethical and governance framework, to safeguard MSF’s independence, reputation and donor trust. Lead the development, review and consistent application of movement-wide fundraising policies, such as the Emergency Fundraising Policy. Advise on adherence to fundraising and governance regulations, ethical standards and donor compliance requirements, and strengthen them where needed. Provide strategic direction on emergency fundraising and restricted-income monitoring during major emergencies, coordinating with Finance Directors, Funding Units and Operational Directorates (ODs). Champion values-driven, inclusive leadership, including sponsorship of the Communications and Fundraising DEI Advisory Group. 4. Oversee MSF’s movement-wide fundraising income, expenditure and investments, together with the International Finance Coordinator and team, to oversee and support cost-efficiency, financial sustainability and effective risk management. Oversee international fundraising forecasting and reporting, ensuring alignment between income and expenditure. When needed, develop risk management strategies to mitigate financial, reputational and operational fundraising risks, in close consultation with other functions. With the DirFund, monitor the performance of new fundraising entities and programmes against their business plans and advise on investment decisions. Ensure that consistent internal and external benchmarking systems inform collective and individual strategic decisions and learning. 5. Shape senior associative and executive decision-making and represent MSF externally on fundraising matters, to align fundraising with organisational priorities and strengthen MSF’s position in the sector. Based on the DirFund’s inputs, advise and support the International Board, section Boards, the Secretary General, the International President, ExCom/General Directors and Operations on strategic fundraising matters. Align fundraising with Operations, Communications, Finance and Advocacy through joint strategies, work and project plans. Represent MSF in international fora such as the International Fundraising Leadership Forum (IFLF), conferences and events, to enhance visibility, sector learning and new opportunities. Support the fundraising community in high-value, inter-entity partnerships with major donors, corporations, institutional donors and governments. 6. Represent fundraising in IO and movement leadership as a member of the IO Leadership Team, contributing to the strategic direction and management of the International Office, to ensure coherent delivery of the IO Multi-Year Plan and services to the movement. Contribute to IO Leadership Team decisions, organisational policy and leadership priorities as the executive lead for fundraising. Build effective working relationships with IO coordinators, directors, operational leadership, communications, finance, legal and other functions. Contribute to IO change processes and to SPARC-related and other movement-wide priorities. Undertake field and office engagement as required to maintain operational understanding and support fundraising strategy. 7. Direct the FR-IO department, co-lead the IDEU and strengthen fundraising leadership capacity across the movement, to ensure the right resources, skills and structures are in place to deliver the international fundraising priorities. Define the strategy, priorities, annual workplan, resources and structure of the FR-IO department, and oversee its annual budget of approximately €1.3 million, taking accountability for performance, financial stewardship, risk and resource choices. Provide overall leadership for the FR-IO department of 12 staff and, together with the International Communications Coordinator, the IDEU (seven staff), directly managing and holding accountable senior staff while fostering a culture of collaboration, innovation and accountability. Among other key areas like fundraising analysis, strategic partnerships, emergency fundraising, and project management, champion and oversee the international fundraising Capacity Building and Innovation Programme, promoting knowledge-sharing and best practice across sections and offices. Mentor and coach fundraising leaders across the movement, supporting their professional development and succession planning. IV. SAFEGUARDING REQUIREMENTS FOR THE ROLE The incumbent commits to contribute to a safe, supportive, inclusive, equitable, diverse, respectful, and healthy workplace, free from abuse and other misconduct. They will not engage in any form of abuse including those detailed in MSF Typologies of Abuse and when an employee suspects or observes abuse, they will report it (without investigating it) to protect others. They will ensure respectful management and communication at all levels and that staff and consultants under their supervision understand their responsibilities with respect to required behaviour and report abuse while working for MSF by reinforcing and regularly discussing expected standards of behaviour. They will welcome complainants, understand how to guide colleagues to appropriate channels, promote and create an environment that does not tolerate abuse or inappropriate behaviour, and guide colleagues to the correct process without investigating. They will ensure that staff know how to complain and keep staff updated on reporting mechanisms. Education Relevant university degree in business administration, non-profit management, international relations or a related field, or equivalent professional competence (essential). Advanced degree and/or certification in fundraising or general/executive management (desirable). Experience Proven senior/executive leadership in international or regional fundraising or business development, including developing and executing comprehensive international fundraising strategies (desirable). Proven track record in private fundraising, including mass-market and one-to-one donor engagement (essential). Proven experience leading geographically dispersed teams in large, matrixed or federated multi-country organisations, contributing to organisational strategy, influencing executive stakeholders and coordinating across decentralised structures (desirable). Proven management of large, multi-million budgets (essential). Demonstrated strategic vision, executive leadership presence, political acumen, senior-level influencing, decision-making under ambiguity and high emotional intelligence (essential). MSF experience at fundraising director level (desirable). Knowledge Strategic planning and organisational design (essential). Governance and federation management in a decentralised international organisation (essential). Financial oversight and risk management (essential). Policy development, including fundraising regulations, ethics and donor compliance (essential). High-level stakeholder management with boards and executive leadership (essential). Global fundraising practices, donor motivations and market trends, and commitment to MSF’s principled approach to fundraising (essential). Languages Fluent written and spoken English (essential); French, Spanish or Arabic (an asset). Other Willingness and ability to travel regularly to MSF offices, operational contexts and international fora. Only shortlisted candidates will be contacted. By submitting an application, the job applicant confirms their understanding and acceptance of these recruitment procedures.

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

-Запускать и масштабировать рекламные кампании в Apple Search Ads и Google Ads (App Campaigns / UAC). -Привлекать пользователей для iOS-приложений с подписочной моделью и In-App Purchases.

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.

Ищем UA Manager, который умеет эффективно закупать и масштабировать трафик на белые мобильные продукты. -Запускать и масштабировать рекламные кампании в Apple Search Ads и Google Ads (App Campaigns / UAC).

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

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Security and Threat Operations Engineer at OnePay, your work will have a direct impact on protecting our fast-moving fintech environment. You will turn production signals into actionable detection, response, and hardening initiatives, partnering closely with Product Security, Platform Security, and Engineering teams. Your efforts will enable us to proactively identify, monitor, and stop compromised behaviors across OnePay's products and infrastructure, ensuring the continued safety and trust of our business and customers. You will: - Build and tune detections, alerts, and monitoring workflows across cloud, application, identity, and edge environments. - Review traffic patterns across APIs, authentication flows, and WAF telemetry to identify malicious activity, abuse patterns, and anomalous behavior. - Use AI responsibly as a force multiplier for triage, analysis, and workflow automation, while helping define guardrails for AI-enabled systems. - Help operate OnePay's vulnerability management program by triaging, prioritizing, and driving remediation for findings from Wiz, vulnerability scanning, and related workflows. - Develop Python-based tooling and automation to improve investigations, enrichment, response, and operational scale. - Partner with Product Security to translate threat models, security reviews, and product risks into production detections and response playbooks. - Investigate security events end to end, including triage, scoping, containment support, and follow-through on remediation. - Support vulnerability management and operational security practices in ways that align with PCI and SOC 2 expectations. - Participate in proactive threat hunting, detection improvement, and a 24x7 security incident response on-call rotation. TOOLS WE USE We use Node and TypeScript on the server, leveraging the NestJS framework within a microservice-oriented architecture running on Kubernetes and AWS. On the client side, we build and ship product features for iOS, Android, and web platforms using React Native. We also embrace AI-assisted development, so engineers have their choice of Claude Code or Cursor to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. YOU BRING - 5+ years of experience in information security, threat detection, security operations, detection engineering, or incident response, ideally in a cloud-native or product-focused environment. - Strong experience investigating suspicious activity in web, API, authentication, and infrastructure telemetry, with the ability to distinguish attacker behavior from normal production noise. - Demonstrated ability to review traffic and event patterns for signs of malicious activity, fraud, account abuse, credential attacks, reconnaissance, and exploitation attempts. - Strong Python programming skills and the ability to write maintainable code for automation, enrichment, analysis, and security operations tooling. - Experience building and tuning detections in a SIEM or detection platform and working with observability and logging systems such as CloudWatch, Datadog, or similar platforms. - Experience operating or supporting a vulnerability management program, including triage, prioritization, remediation tracking, and stakeholder coordination. - Familiarity with cloud and application security findings from platforms such as Wiz, including CNAPP, runtime, code, and vulnerability scanning use cases. - Experience with at least one major cloud provider, preferably AWS. - Working knowledge of identity and access systems, modern authentication flows, and the security implications of internet-facing applications and APIs. - Strong understanding of threat modeling, risk prioritization, and practical security controls across applications, infrastructure, and cloud environments. - Practical experience using AI tools in security workflows, along with sound judgment about AI-specific risks such as prompt injection, data leakage, excessive tool access, and weak auditability. - Excellent analytical, communication, and cross-functional collaboration skills, especially in environments where security needs to move quickly with product and engineering teams. - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.