Вакансии

— Развивать antifraud-направление: определять стратегию, roadmap и приоритеты; — Руководить командой scientists/developers и развивать экспертизу;

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    ABOUT THE TEAM  Behind every groundbreaking product, there’s an awesome team - Fraud & Risk Operations is one of the cornerstones of Eneba’s success. This team plays a critical role in safeguarding our platforms, protecting user trust, and ensuring that every transaction - whether on our core marketplace or in other products - is as secure and fair as possible. We’re looking for a Fraud Specialist who is passionate about analyzing fraud patterns, identifying anomalies, and helping us build robust systems that keep our users and platform safe. If you're a self-starter with a passion for finding anomalies and closing loopholes before they become threats - this is your team. Responsibilities - Review alerts daily. Work through fraud and payment alerts and decide whether each case is fraud, a false positive or needs escalation. - Investigate transactions manually. Check orders and accounts for third-party fraud signals (stolen cards, account takeover, linked accounts) and record a clear decision. - Recover good customers. Review blocked orders for false positives and flag patterns that keep blocking legitimate buyers. - Label cases for our risk models. Tag reviewed transactions accurately so our in-house rules and models learn from them. - Answer PSP and law enforcement requests. Reply to payment provider and police requests within SLA and escalate high-impact ones to Analysts. - Support Customer Support. Resolve fraud-related tickets from CS so they can give customers a fast, correct answer. - Prepare dispute evidence. Gather and enrich order data for chargeback representment. - Spot and escalate trends. Raise new attack patterns, spikes or rule gaps to Analysts with the evidence behind them. - Keep SOPs current. Update guides when a process or pattern changes. Requirements - 1+ year in fraud operations. Hands-on case review in e-commerce, fintech, payments or a marketplace. - Third-party fraud knowledge. Understanding of card-not-present fraud, stolen cards and account takeover. - Strong pattern recognition. You spot inconsistencies across orders, accounts and devices and explain why they matter. - Root cause thinking. You ask why a case happened and propose a follow-up action, beyond closing the ticket. - Clear written & spoken English. You write precise replies to PSPs, authorities and internal teams. - Daily AI and data tool use. You work comfortably with spreadsheets, back-office tools and AI assistants. - Prepare dispute evidence. Gather and enrich order data for chargeback representment. Nice to have - Payments fundamentals. 3DS/SCA, authorisation flows and decline reasons. - Card scheme rules. Chargeback reason codes and fraud monitoring programs such as Visa VAMP and Mastercard ECM. - SQL or Databricks. Enough to pull and filter your own case data. - Rule-based systems. Experience with risk rules, scores or fraud vendor dashboards. - Digital goods or gaming background. Gift cards, game keys, top-ups. - Cross-functional collaboration. Experience working with Customer Support, Payments, Product or Data teams to resolve cases and improve processes. What it’s like to work at Eneba *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Software Engineer, Simulation and Modeling - Location: Valencia - Reports to: Reports to: Laboratory Lead & Test Architect - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Software Engineer, Simulation and Modeling, you’ll build the software world the satellites live in (orbits, emitters, signals, truth and scoring) so the whole team can ask “what if” and get a number back. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability. Customers and our own engineers ask questions we currently answer by hand-waving: what revisit a cluster gives over an area, how many emitters we detect in a crowded scene, how geolocation accuracy moves with cluster spacing or timing error, and what a next-generation architecture choice buys. The answers need a simulation framework that models the constellation and the emitters end to end, generates the signals each satellite would see, and scores what comes out against a known truth. It doesn’t exist yet. You’ll build it, and it will become a tool used by engineers, analysts and customer-facing staff. You’ll work daily with the lab, signal processing and ground segment teams, and you’ll have direct influence on how ICEYE builds and proves this capability. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Model the constellation: orbit propagation, cluster geometry, attitude and pointing, antenna beams, access and contact windows, with spacing and timing as swept variables. - Model the emitters and the theatre: emitters as state machines with real antenna patterns, scan behaviour, modes and duty cycles, placed at order-of-battle density. Start from the lab’s real captures and extend synthetically. - Generate the signals: propagation and link modelling (path loss, delay, Doppler, ionosphere in the low band) and synthetic I/Q per satellite, at a fidelity the RF hardware and the processing chain can consume. - Own the truth together with the processing team: a truth ledger of every simulated emission, position and time, kept out of reach of the system under test, plus the association and scoring that turn a run into detection rate, false-alarm rate, geolocation accuracy and latency. - Drive the hardware together with the RF team: provide the geometry and timing the channel simulator and playback hardware need, so a recorded radar can be heard by three simulated satellites with the right delays and Doppler. - Make it a platform: versioned scenarios, seeded and reproducible runs, provenance on every result, tests, CI, documentation and an interface that non-authors can use. - Answer real questions: capacity, revisit and performance studies for the payload, product and sales teams, and architecture trades for future generations. WHAT WE’RE LOOKING FOR Must haves: - Strong software engineering in Python (and ideally a compiled language): clean architecture, version control, testing, code review, packaging - Experience building a simulation or model of a physical system that others used, and validating it against measurement or real data - Numerical and scientific computing: NumPy/SciPy or equivalent, vectorisation, performance awareness - Working knowledge of at least one of orbital mechanics and access computation, RF link budgets and propagation, or signal processing - Habits that make results reproducible: seeds, configuration management, data provenance - Clear written and spoken English Nice to haves: - Constellation, mission or system-level modeling and simulation (STK, Orekit, GMAT, Basilisk or in-house) - Radar, EW or emitter modeling; scenario or order-of-battle generation - TDOA/FDOA/AoA geolocation or estimation theory - Synthetic I/Q generation, GPU acceleration, or real-time and hardware-in-the-loop interfaces - Cloud-native deployment, containers, workflow orchestration, and data stores for large runs - A simulation framework of yours that outlived your involvement in it - Eligibility for national security clearance (an advantage) What success looks like: - 6 months: a first end-to-end scenario (cluster geometry, a handful of emitters, synthetic I/Q per satellite, truth logged, a first score) is used to answer at least one real capacity or performance question. - 12 months: a reproducible, documented framework runs without you on the team; geometry drives the RF channel simulator; real captures enter scenarios alongside synthetic emitters. - 24 months: the simulation is part of the end-to-end loop with the flatsat and ground pipeline, runs in regression, and backs performance numbers we put in front of customers. APPLICATION PROCESS - Application Screening - TA call - Hiring Manager call - Onsite interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Обязанности: — Define data requirements for scoring and reporting; — Collaborate with IT and Data teams to ensure data quality and availability. Требования: — Identify and implement alternative scoring approaches and data sources. — Analyze fraud patterns and continuously adapt prevention mechanisms. — Data Management & Analytics...

Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Slovenia (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Greece (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the C++ Functional Team, you'll build the high-performance code at the core of DuckDuckGo's browser using modern C++ and Chromium, and work on related projects.   You can expect to work on projects like: - Implement tracker blocking that stops hidden trackers on every site without slowing page loads. - Bring VPN and Personal Information Removal into the browser through the DuckDuckGo subscription. - Catch startup and responsiveness regressions automatically, so the browser stays fast as it grows.   As a Senior C++/Chromium Engineer, you'll lead complex projects from proposal through post-mortem. You'll turn vague problems into clear plans, build them in a large modern C++ codebase, and use metrics to show they worked. Some days that means low-level systems work. Others, it means architecture decisions the whole team builds on. You'll collaborate with design and product, mostly asynchronously, to build features people use to protect their privacy.   ABOUT YOU - Ability to lead and collaborate on high-impact, complex projects from proposal through post-mortem - Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics - 7+ years of software engineering experience - Advanced modern C++ expertise (C++23 or newer), including memory management, concurrency, and performance profiling - Experience driving technical work end-to-end on large-scale C++ codebases - Comfort with large build systems, debuggers, and profilers - Experience shipping software to a large consumer audience - Solid computer science foundation (algorithms and data structures) - Bonus: Windows development experience - Bonus: experience with browsers (Chromium, WebKit, WebView), game engines, or large desktop applications COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.     HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.   DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.   We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.   PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.   Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.   Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.   By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!

Location: Remote - United States Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND YOUR IMPACT As a Growth Marketing Manager, you’ll build the systems that make our marketing fast and agile. The tools and tactics in the age of AI change constantly, but what lasts is the underlying system: clean signal data, a scoring model that routes it, and reusable workflows the team can build on. You’ll own that system, using automation and AI to turn a week of work into an hour. You’ll own the end-to-end demand generation engine that translates market signals and buyer intent into measurable pipeline and revenue impact. You’ll connect audience intelligence, multi-channel campaigns, lifecycle engagement, and sales activation into scalable, repeatable growth motions. You should be able to pull the data, architect a target list, generate the creative, and ship a multi-channel campaign using AI tools and systems, while ensuring every campaign, data point, and automation strengthens the broader growth engine. WHAT YOU WILL OWN - The Core Growth Motion: Build reusable campaign systems: templates, automations, and workflows to spin up integrated campaigns without rebuilding from scratch each time. Run priority campaigns end to end, from targeting and messaging through multi-channel execution and pipeline accountability. - Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) that move contacts from first touch through consideration toward sales readiness, rather than sending high-intent accounts directly into cold sales outreach. Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program. - Work at the Intersection of Data, AI, and Marketing: Use signals, scoring, AI tools, and connected workflows to identify who to target, determine the next best action, and execute campaigns efficiently. Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors. - Product Fluency and Technical Storytelling: develop a deep understanding of our product, its technical capabilities, use cases, and competitive differentiation. Partner with Product Marketing for relevant, value-driven campaigns. WHO YOU ARE - Demand Gen Experience: 3-5+ years in demand generation, growth marketing, or lifecycle marketing, running campaigns end to end in B2B tech, ideally toward technical audiences or for open-source products. - Lifecycle Expertise: hands-on experience building, measuring, and optimizing cohort-based nurtures via email and in-app. - Builder Mindset: you're not just an operator. You build the workflows instead of relying on an existing machine, pull and shape data yourself to build lists and scoring, and you're fluent in signal and scoring tools. - Systems-Level Thinking: you execute the task in front of you while understanding how each campaign, workflow, and data point feeds the broader growth engine. - Technical Workflow Fluency: you're familiar with agentic approaches and think in connected tools and automated workflows, not manual steps. - Problem Solving: you work from a goal and can identify the steps and systems needed to get there. NICE TO HAVE - Familiarity with tools such as Common Room, Inflection, HubSpot, Salesforce, and Amplemarket. - Experience with open-source-to-paid or product-led growth motions. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Taguig, National Capital Region Workplace: Hybrid Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd, is a technology-driven challenger bank in the Philippines operating under a BSP license. We combine the trust of a regulated financial institution with the speed and convenience of a modern banking experience. Here, product, risk, compliance, operations, technology, and customer experience work closely together to build and run a modern bank. We work with fewer layers, close collaboration, and a culture where every voice can make a difference. If you want to build reliable financial systems at speed, take on real operational complexity, and help raise banking standards across the Philippines, come build with us. ABOUT THE ROLE You'll own credit scoring across the full customer lifecycle — from application decisions to behavioral models that drive portfolio profitability. WHAT YOU'LL DO - Build and improve Application and Behavioral Scorecards that drive underwriting and collections decisions across live credit products. - Work within a regulated environment — prepare model documentation and defend modeling decisions to internal governance and external reviewers. - Collaborate with product, analytics, and engineering to translate model outputs into strategy changes and implementation specs. WHAT YOU'LL OWN - Own the full modeling cycle: data exploration, feature design, model build, validation, deployment specs, and post-production monitoring. - Track scorecard quality — AUC, KS, bad rate, stability index — and validate against real portfolio outcomes via NPV and backtesting. - Prepare model documentation and governance artifacts for regulatory review. - Shape credit strategy — your models directly influence approval, pricing, and collection decisions, not just inform them. WHAT MAKES YOU A STRONG FIT - 3+ years of hands-on experience building credit risk models — Application Scorecards and/or Behavioral Scorecards specifically (ECL/IFRS9-only experience does not substitute). - Experience with model audits, documentation, or regulatory review support. - Strong Python (pandas, scikit-learn) and SQL — you build models yourself, not just review others' work. - Experience covering the full lifecycle: data, feature engineering, validation, and production monitoring. WHAT WE OFFER WORK AND OWNERSHIP - Hybrid-first work environment with a modern office in Bonifacio Global City, Manila - Company-provided tools and equipment - Work with an international team combining global fintech experience with deep Philippine market knowledge - Direct access to decision-makers and a real voice in how we build for the Philippine market HEALTH AND TIME OFF - Medical insurance for you and your family - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave LEARNING AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Dhahran, Saudi Arabia ERAM Talent is hiring for one of their prestigious Oil & Gas clients in Saudi Arabia for the position of Mechanical Trainer . The role involves delivering technical training in mechanical maintenance, rotating and static equipment, troubleshooting, and overhaul practices to enhance workforce competency and ensure compliance with industry standards and operational requirements. Responsibilities Deliver theoretical and practical training on mechanical equipment, maintenance procedures, and troubleshooting techniques. Conduct hands-on training covering rotating and static equipment, compressors, gas and steam turbines, engines, gearboxes, and mechanical seals. Train personnel in equipment alignment, lubrication, vibration analysis, machining, and overhaul procedures. Provide technical instruction on relief valves, valve actuators, and Motor Operated Valve (MOV) actuators. Develop and deliver training materials, practical demonstrations, and competency assessments. Evaluate trainee performance and identify areas requiring further technical development. Ensure all training activities adhere to applicable Oil & Gas industry standards, safety procedures, and operational requirements. Maintain training records and provide feedback on trainees’ progress and competency levels. Requirements Education: With Degree: Bachelor’s degree in Engineering or a technical/trade/vocational qualification in Mechanical Engineering or a related mechanical discipline. Without Degree : High School or Vocational School Diploma in Mechanical or a related discipline. Experience: With Degree: Minimum of 4 years of relevant Oil & Gas industry experience. Without Degree: Minimum of 11 years of relevant Oil & Gas industry experience. Strong technical knowledge of rotating and static mechanical equipment, maintenance, machining, and equipment overhaul. Experience with compressors, gas turbines, steam turbines, engines, gearboxes, mechanical seals, lubrication systems, and equipment alignment. Knowledge of relief valves, valve actuators, MOV actuators, and vibration analysis. Vibration Analysis Level I and/or OSHA certifications are preferred. Experience in the Oil & Gas and/or petrochemical industry is required. English Language Proficiency: IELTS score of 6.0 or equivalent TOEFL score (iBT: 60, Paper-Based: 498, or Computer-Based: 171). Strong communication and presentation skills, with the ability to deliver effective technical and practical training.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure. As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale. _______________________________________________________________________ KEY RESPONSIBILITIES LEADERSHIP & TEAM DEVELOPMENT - Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs). - Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage. - Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence. - Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly. PARTNER ENABLEMENT & TECHNICAL STRATEGY - Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops. - Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem. - Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners. - Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value. JOINT GO-TO-MARKET EXECUTION - Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions. - Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals. - Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery. - Define and track metrics for partner technical readiness, engagement quality, and revenue impact. PRODUCT & ALLIANCE COLLABORATION - Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives. - Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements. - Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests. - Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC). CROSS-FUNCTIONAL LEADERSHIP - Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort. - Partner with Marketing to support partner events, conferences, webinars, and demand generation programs. - Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures. - Represent Docker at partner events and conferences as a technical expert and evangelist. OPERATIONAL EXCELLENCE - Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes. - Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams. - Establish tools, systems, and workflows that enable efficient partner engagement and measurement. - Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies. - Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives. - Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams. - Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs. - Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies. - Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools. - Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops). - Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations. - Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives. PREFERRED - Operational experience with Docker, Kubernetes, or similar container-based platforms. - Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines. - Background in software development, scripting, or infrastructure-as-code. - Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. - Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle. - Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales. - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). - Willingness to travel (~30% expected) to support key partner engagements and events. _______________________________________________________________________ WHAT SUCCESS LOOKS LIKE 30 DAYS - Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy. - Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners. - Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities. - Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders. 90 DAYS - Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership. - Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness. - Lead enablement sessions for selected strategic partners and support joint-account planning activities. - Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem. 1 YEAR - Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel. - Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories. - Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence. - Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores. - Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences. _______________________________________________________________________ WHY JOIN DOCKER Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to: - Shape the technical strategy for how Docker scales through its partner ecosystem - Build and lead a world-class team of Partner Solution Engineers - Work with industry-leading partners including major cloud providers, security vendors, and global system integrators - Influence product direction based on partner and customer insights - Make a measurable impact on Docker's growth through the channel - Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$327.6K– CA$468K OTE United States: $226.1K – $323K OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Cyprus Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Limassol, Cyprus About Our Client Our client operates in the online trading and investment industry, providing retail clients with access to financial markets and tools to support their trading and investment activities. The company serves customers across multiple international markets and offers opportunities for professional development within a dynamic, fast-growing environment. Job Description Role Purpose The Training & Quality Assurance Manager is responsible for designing, implementing, and continuously improving a standardized onboarding, training, and quality assurance framework across the Customer Group. The role ensures all team members, regardless of function, location, or manager, receive consistent knowledge, training, and performance support, enabling them to deliver exceptional customer experiences and perform effectively from day one. This role serves as the central owner of Customer Group knowledge management, onboarding standards, training effectiveness, and quality assurance, ensuring alignment across Customer Service, Sales, Customer Success, Payments, Operations, Client Resolution, and other Customer Group functions. Why This Role Exists The Training & Quality Assurance Manager ensures every employee within the Customer Group receives a consistent onboarding experience, standardized knowledge, and ongoing development support. The role reduces dependence on individual managers for training quality, accelerates employee productivity, improves customer outcomes, and creates a scalable framework that supports growth across multiple markets and functions. Key Responsibilities Training & Onboarding Design and maintain a comprehensive Customer Group onboarding program for all new joiners. Develop structured learning paths tailored to different roles and functions. Deliver onboarding sessions directly or coordinate subject matter experts to provide training. Create and maintain onboarding schedules, certification requirements, and learning assessments. Ensure all employees receive consistent training regardless of location or department. Measure onboarding effectiveness and continuously improve training content based on feedback and performance outcomes. Learning & Development Own and maintain training curricula covering: Company overview, vision, values, and organizational structure. Customer Group operating model and team responsibilities. Products, services, and client proposition. Internal systems and tools. Policies and procedures. Regulatory and compliance requirements. Sales methodologies and customer acquisition approaches. Service excellence standards. Customer communication best practices. Customer lifecycle management. Escalation and issue resolution processes. Information security and data protection requirements. Knowledge Management Create and maintain a central knowledge repository. Ensure training materials, SOPs, policies, and process documentation remain current and accessible. Establish documentation standards across the Customer Group. Partner with functional leaders to capture and document business knowledge. Drive knowledge-sharing initiatives across teams and regions. Quality Assurance Design and manage a Customer Group quality assurance framework. Establish quality standards and assessment criteria across customer-facing functions. Conduct regular quality reviews of customer interactions, processes, and adherence to standards. Identify knowledge gaps, coaching opportunities, and process improvement areas. Provide quality trends, insights, and recommendations to management. Work with team leaders to ensure quality findings are translated into coaching and development plans. Performance & Continuous Improvement Track training effectiveness through performance metrics, quality results, certification outcomes, and employee feedback. Analyze onboarding and quality data to identify trends and improvement opportunities. Recommend process enhancements to improve customer experience and employee performance. Support change management initiatives and ensure training readiness for new products, processes, and systems. Promote a culture of continuous learning and operational excellence across the Customer Group. Key Stakeholder Relationships Customer Service Leadership Sales Leadership Customer Success Teams Payments Teams Operations Teams Client Resolution Teams Compliance & Risk HR & Talent Acquisition Product & Technology Teams Success Measures (KPIs) New joiner onboarding completion rate. New hire time-to-productivity. Certification and assessment pass rates. Quality Assurance scores. SOP and knowledge base adoption rates. Reduction in knowledge-related errors and escalations. Training satisfaction scores. Improvement in customer experience and service quality metrics. Training content accuracy and currency. Key Requirements Skills & Experience Essential 2+ years' experience in Training, Learning & Development, Quality Assurance, Customer Operations, or a related role. Experience within Financial Services and/or FinTech environments. Experience designing and delivering structured onboarding and training programs. Experience developing learning content, SOPs, and knowledge management frameworks. Strong facilitation and presentation skills. Experience conducting quality assessments and coaching programs. Strong stakeholder management and influencing abilities. Excellent written and verbal communication skills. Data-driven mindset with the ability to translate insights into actions. Preferred Experience within Financial Services, Payments, FinTech, or Customer Operations environments. Knowledge of contact center, customer service, sales, and customer success functions. Experience with Learning Management Systems (LMS) and knowledge management platforms. Process improvement or operational excellence experience. Key Competencies Customer Centricity Learning Agility Coaching & Development Process Excellence Attention to Detail Communication & Influencing Collaboration Analytical Thinking Continuous Improvement Mindset Accountability & Ownership Equal Opportunity All applicant information will be handled confidentially in accordance with applicable equal employment opportunity guidelines.

Мы развиваем международные цифровые продукты и ищем универсального специалиста, способного объединить классический интернет-маркетинг, системный PR, линкбилдинг и работы на международном рынке для масштабирования нашего присутствия. Задачи: — Разрабатывать и реализовывать комплексные стратегии внешнего продвижения, анализировать конверсии, оптимизировать воронки привлечения трафика и оценивать ROI/ROAS кампаний. — Готовить инфоповоды, писать и адаптировать пресс-релизы, экспертные статьи и колонки для профильных англоязычных СМИ, взаимодействовать с журналистами и лидерами мнений. — Находить релевантные зарубежные ресурсы, продвигать бренд на популярных QnA-платформах и форумах (Quora, Reddit, Medium, Product Hunt), договариваться о гест-постинге и спецпроектах. — Разрабатывать профиль ссылочной массы для англоязычного сегмента, внедрять стратегии белого линкбилдинга (Crowd, Outreach, Guest Posts) и отслеживать качество входящих ссылок через аналитические инструменты (Ahrefs, Semrush, Google Analytics). Требования: — Владение письменным английским языком от B1 (Intermediate) и выше — способность грамотно составлять питчи, поддерживать переписку и писать посты для аудитории Quora/Reddit. — Опыт работы в роли интернет-маркетолога, PR-специалиста или Outreach/Linkbuilder Lead от 2–3 лет (преимуществом будет опыт работы с бурж-сегментом). — Понимание SEO-показателей (DR, UR, Organic Traffic, Spam Score) и умение работать с сервисами Ahrefs, Semrush, Majestic, Google Search Console. — Опыт работы с QnA-площадками и социальными платформами (Reddit, Quora), понимание правил модерации и прокачки аккаунтов. — Опыт ведения холодной и теплой переписки (Email-аутрич), работы с сервисами автоматизации (BuzzStream, Hunter.io, Lemlist или аналогами). Условия: — Полная занятость 5/2, удалённая работа с гибким графиком. — Интересные проекты и задачи, а также возможность профессионального развития. — Полностью удалённая работа - не привязаны к месту, собирают самых сильных сотрудников вне зависимости от их местоположения. — Щедрый обмен знаниями и опытом. — Адекватное руководство, не бюрократический подход в обсуждении рабочих процессов. — Уровень заработной платы финально определяем с успешным кандидатом. — Возможно оформление договора услуг, подряда, ГПХ.

Location: Buenos Aires, Argentina; Bangalore, India; Medellín, Colombia; Guadalajara, Mexico; Lahore, Pakistan; Manila, Philippines Workplace: fully We're a remote, product-focused startup building AI- and algorithm-driven systems. We're looking for a FullStack Engineer who can move fluidly between React frontends and Django backends. You'll own features end-to-end: from designing the data model, building the API, to crafting the UI that brings it all together. You'll work with a small distributed team across several countries, shipping fast and iterating based on real feedback. 💰 $100 Bonus Opportunity: Candidates who successfully complete the coding assessment and meet our quality standards may be invited to an additional evaluation stage. Candidates who successfully pass this stage and are selected to proceed to the final interview will receive a $100 bonus . To be considered for the assessment, please submit your resume through this job application. If your resume is approved, we’ll send you the coding assessment with further instructions. What You'll Do Build and ship complete features across React frontend and Django backend. Develop responsive web apps using React and Material UI (MUI). Design backend services and APIs using Python + Django (DRF or similar). Create clean, responsive UIs with React that connect to our services. Implement algorithmic/AI logic (scoring, ranking, decision rules) and surface it in the UI. Write pragmatic, production-ready code that ships fast and iterates easily. What We're Looking For Strong proficiency in React and Material UI. Attention to detail: You care about alignment, spacing, and how the app feels to the user. Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks). Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic). Good instincts around performance : understanding query behavior, avoiding obvious pitfalls, and using caching when it counts. Ability to work independently in a remote environment and communicate clearly. Bonus Points For Comfortable coding with AI assistants (Claude Code, Cursor, etc.). Experience shipping complete products in startups, side projects, or hackathons. Background in algorithms or data-heavy systems. Experience with GCP, Redis, or Docker/Kubernetes. Familiarity shipping mobile apps with React Native. This role is a central piece of our product roadmap , and we're aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now . Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Location: Remote; Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Portugal (Remote); USA (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); UK (Remote); Romania (Remote); Poland (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include: - Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies - Measuring the impact of major marketing campaigns for Duck.ai http://duck.ai, translating full-funnel data into actionable decisions - Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably - Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment - Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach   Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.   ABOUT YOU - You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction. - You can do 2 or more of the following: - Deploy and iterate on ML in production environments - Develop and deploy NLP solutions - Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development - Conduct marketing campaign analysis using Bayesian methods - You write production-grade code in Python or a comparable high-level language. - You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus. - You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data. - You collaborate effectively with product teams and contribute to overall team throughput. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances. HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY, AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. KEY PRINCIPLES: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-February-5-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

Location: Greece; Finland; Sweden; United Kingdom; Ireland; Remote - Europe; Remote; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Estonian Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Estonian What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Estonian and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you. Job Reference: #LI-JC1

Location: Croatia; Austria; Germany; Zurich, Switzerland; Budapest, Hungary; Romania; Remote - Europe; Remote; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Serbian (Cyrillic) Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Serbian (Cyrillic) What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Serbian (Cyrillic) and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing learning, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.  Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global  Job Reference: #LI-JC1 Job Reference: #LI-JC1

Location: Germany; Croatia; Austria; Italy; Remote - Europe; Remote; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Slovenian Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Slovenian What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Slovenian and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing learning, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.  Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global  Job Reference: #LI-JC1 Job Reference: #LI-JC1