Вакансии

Location: Sofia, Bulgaria; Plovdiv, Bulgaria; Varna, Bulgaria; Burgas, Bulgaria; Ruse, Bulgaria; Pleven, Bulgaria; Stara Zagora, Bulgaria; Shumen, Bulgaria Workplace: fully David Kennedy Recruitment is working with a leading Outsourcing/BPO company that is looking to recruit German speaking Customer Service Advisor to join their team in Bulgaria. Position: Customer Service Advisor Location: remote, Bulgaria (after initial one week training in Varna office) Employment type: Full-time Remuneration: Base salary + bonuses. DUTIES AND RESPONSIBILITIES: Provide professional customer service to German-speaking customers via voice and email Handle customer enquiries and resolve technical and billing-related issues Record all customer interactions accurately in the relevant systems Manage product complaints and collect all necessary information for resolution Ensure customer issues are handled efficiently and within the required processes Escalate product safety or regulatory concerns through the defined channels Follow established quality standards, consumer safety requirements and GDPR procedures Maintain up-to-date knowledge of products and services Act as a professional brand ambassador during customer interactions Identify and include appropriate sales and cross-sell opportunities during customer interactions Share recurring customer issues and insights to support continuous improvement. REQUIREMENTS: German language proficiency at C1 level and English language proficiency at B1 level Previous customer service experience is preferred but not required Customer service, technical support or call centre experience is an advantage Strong communication and problem-solving skills Ability to handle complaints professionally Good troubleshooting skills and technical understanding Comfortable working with customer service systems and processes Strong attention to detail when documenting customer interactions Ability to work independently and follow established procedures EU citizenship or appropriate eligibility to work in Bulgaria. BENEFITS: Excellent remuneration package based on experience, skills and performance Be part of a dynamic and creative team with positive and friendly atmosphere Guidance and tools to reach career full potential Performance bonus Sales bonus with no monthly limit Signing bonus Monthly meal allowance depending on days worked Health insurance through Generali Multisport and/or Coolfit cards Access to a learning platform Remote working model after onboarding requirements Relocation support for eligible EU candidates Monthly accommodation allowance for 3 months Flight, bus or train transportation support for relocation And many others!!!

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE We are seeking a highly skilled professional to join our dynamic and fast-paced team at OnePay. Reporting to the head of Corporate Finance, this role is crucial to supporting our General and Administrative (G&A) functions, providing high-impact analyses and actionable insights to our CFO and other senior leadership. You will be responsible for supporting planning and forecasting cycles, and tracking financial performance against budget, while delivering reports that highlight actionable insights and enable informed decision-making. You will ensure reporting accuracy through cross-functional collaboration. A strong bias toward action and efficiency, an exceptional ability to manage and analyze financial data and leverage AI tools, and excellent financial modeling skills are required. THIS ROLE IS RESPONSIBLE FOR: - Financial Planning: Leading the development of budgets and forecasts, including headcount, compensation, and vendor spend. - Business Partnering: Serving as financial partner across teams, providing advice and support on financial decisions, strategies, and performance improvement initiatives - Expense Management: Tracking and analyzing expenses, ensuring alignment with approved budgets and identifying areas of cost efficiency. - Financial Insights and Variance Analysis: Analyzing financial results, conducting detailed variance analyses, and communicating insights and recommendations to improve financial performance. - Reporting and Analysis: Delivering regular and ad-hoc financial reports to the CFO and other senior G&A leads, providing insightful commentary on trends, risks, and opportunities. - Cross-functional Collaboration: Working closely with other departments, including Accounting, to ensure financial data integrity and compliance. - Financial Modeling: Developing and maintaining sophisticated financial models to support scenario analysis, long-term planning, and other strategic initiatives. - Process Improvement and AI integration: Continuously assessing and improving financial processes, identifying opportunities to deploy AI across all tasks and responsibilities, driving efficiency and accuracy in reporting and forecasting. YOU BRING: - Bachelor’s degree in Finance, Accounting, Economics, or related field (MBA preferred) - 7-10 years of experience in corporate finance, financial planning & analysis, or similar roles, preferably in a fast-paced fintech, consumer finance, or tech environment - Proven experience providing financial insights to senior leadership - Expert financial modeling skills with advanced proficiency in Excel/ GSheets (experience with financial modeling tools and ERP systems is a plus) - Proficiency and proven integration of AI tools into current or prior roles across all tasks and projects under your scope of responsibility - Demonstrated ability to streamline and improve financial processes, with a bias for operational efficiency - Strong collaboration and business partnering skills, experience working with G&A functions a plus - Excellent communication and influencing skills with the ability to present complex data and financial concepts to non-financial stakeholders - High attention to detail, strong organizational skills, and ability to manage multiple priorities in a deadline-driven environment - Experience reporting to or working directly with a CFO or Head of FP&A - The Triple H Factor: Hungry, Humble, Honest - An act-like-an-owner mentality. We have a bias toward taking action and a fast-paced culture WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions. This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on. What you'll do Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team Key qualifications 7+ years of experience spanning analytics engineering and data science/analyst work Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack) Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions Being confident partnering with technical and non technical stakeholders Strong ownership mindset Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $184,000 — $225,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a partnerships leader to own the tri-party motion for systems integrator partnerships selling through AWS. Global systems integrators and specialist SIs are how Claude reaches enterprise customers at scale, and AWS is the surface most of that work runs on. You will own the intersection of those two ecosystems. In this role, you will build the go-to-market motion that turns partner interest into joint pipeline and closed revenue, working across AWS's partner organization and the AWS practices inside the world's largest integrators. You will define how Claude is positioned inside AWS partner programs, design the commercial mechanics that let partners transact and get rewarded, and build the joint plays that partners take to their customers. This is a build role. The partner ecosystem is early, the programs are still being designed, and you will be operating across three organizations whose incentives on any given deal don’t always line up. You will help shape how frontier AI technology reaches the enterprise through the services ecosystem. You will report directly to the Head of AWS GTM Partnerships. Key Responsibilities Develop and execute the GTM strategy for our systems integrator partnerships through AWS, including co-selling motions, joint business plans, events and segment-specific plays Own forecasting, pipeline development, and revenue targets for partner-sourced and partner-influenced business Design the commercial mechanics that make the partner motion work, including deal registration, marketplace program structure, and incentives Build and maintain executive-level relationships across AWS's partner organization and across partner AWS practice leadership Work with partners to develop repeatable, industry-specific solutions built on Claude, and help them build the delivery capability to take those solutions to market Partner cross-functionally with Anthropic's alliances, sales, partner marketing, and regional cloud teams to keep the motion consistent globally while regions execute locally Create and implement scalable processes for partnership operations, including escalation management, business reviews, and reporting Provide strategic market intelligence and competitive insights on the partner ecosystem to inform product and commercial strategy Identify where to concentrate investment across the partner portfolio and make the case to stop investing where returns are not there Minimum qualifications 12+ years of enterprise partnerships, alliances, or business development experience, with meaningful time spent on partner ecosystems Proven track record of building and scaling partnerships with systems integrators, consultancies, or channel partners Experience building a co-sell or channel motion from the ground up, including the commercial mechanics behind it Deep understanding of how cloud and partner field organizations operate, and the incentives that drive seller and partner behavior Track record of carrying and hitting a partner-sourced or partner-influenced revenue number, with credible forecasting behind it Strong executive presence and demonstrated ability to influence senior stakeholders where you have no formal authority Excellence in strategic planning, business operations, and program management Ability to balance strategic thinking with tactical execution, and a willingness to concentrate effort rather than spread thin Experience working with technical products and translating complex capabilities into business value Ability to travel up to 25% of the time Preferred qualifications Previous experience working with AWS or another hyperscaler partner organization Working knowledge of systems integrator operating models, including practice structures, delivery economics, and how services revenue drives partner decisions Background in AI/ML technologies or with developer-focused platforms and their partner ecosystems Experience scaling partner programs at a company moving from early traction to significant partner-driven revenue Management consulting experience earlier in your career Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hong Kong, Singapore Location: Hong Kong, Singapore Programme duration: from 3 to 6 months, starting in 2027. Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership. Your future role at QRT As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Quantitative Data Analyst – Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale. Data Engineer – Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively. Data Platform Engineer – Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data. Your present skillset Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming. Programming – Experience with Python and an interest in using software to solve data or infrastructure problems. Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter. Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading. Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions. Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers. Approach – Self-motivated and keen to develop autonomy as you learn. Preferred qualifications (a plus): Knowledge of SQL or NoSQL databases. Experience with front-end development. An interest in financial markets and/or algorithmic trading. Interviewing Application – Submit your application online. We review applications on a rolling basis. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Limassol, Cyprus Workplace: remote Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS. We're looking for a Payments Data Analyst to join our Product team and transform payment and product data into actionable insights that improve merchant success, platform performance, and business decisions. As a Payments Data Analyst, you will be a strategic partner to the Product, Merchant Solutions, Processor Integrations, and ML teams, helping drive data-informed decisions across our payment platform. You will analyze payment performance, identify trends and optimization opportunities, evaluate the impact of product initiatives, and provide recommendations that improve approval rates, payment efficiency, and merchant experience. Job Responsibilities: Monitor, analyze, and optimize payment performance across merchants, processors, payment methods, and markets. Analyze approval rates, decline patterns, payment routing performance, retry and cascading effectiveness, 3DS performance, and transaction success. Perform deep-dive analyses to identify trends, anomalies, and optimization opportunities across processors, card schemes, BINs, countries, merchants, and payment methods. Measure the impact of new product features, processor integrations, routing changes, payment optimization initiatives, and A/B experiments. Build and maintain dashboards and reports that provide actionable insights for Product, Merchant Solutions, Executive, and other business teams. Define, monitor, and improve key product and payment KPIs. Investigate merchant and processor performance to identify root causes and recommend improvements. Collaborate with Product Managers to support product discovery, feature prioritization, and success measurement. Work closely with Solution Engineers, Integration Analysts, and the ML Specialist to improve payment performance and operational efficiency. Support continuous monitoring of payment performance by identifying anomalies, emerging trends, and opportunities for optimization. Present analytical findings and recommendations in a clear, business-oriented manner to technical and non-technical stakeholders. You’ll thrive here if you have 4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or in a similar analytical role. Advanced SQL skills, including complex queries and window functions. Experience with BI tools such as Metabase, Tableau, Power BI, Looker, or similar. Experience with Python (Pandas, Jupyter Notebook) for data analysis. Strong analytical thinking and problem-solving skills. Experience working with large datasets. Ability to translate complex data into clear business recommendations. Nice to Have Experience in FinTech, Payments, SaaS, or E-commerce. Understanding of payment processing, payment orchestration, or PSP integrations. Knowledge of payment routing, retries, cascading, and 3DS authentication. Familiarity with payment KPIs such as approval rate, conversion rate, authorization rate, and decline analysis. Understanding of fraud-related metrics, chargebacks, RDR, and risk signals. Experience working with product analytics, experimentation, and feature adoption metrics. Basic understanding of Machine Learning concepts. Conditions We know that great talent deserves great conditions, so here’s what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. This opportunity is also available for those who already live in Limassol, Cyprus. EU-based employment contract and a 3-year Cyprus work visa. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Technical interview (1 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Worldwide We are looking for QA Engineers - Fullstack(Mobile) Junior+ to join one of our teams — Payments. What makes you a great fit: 1–2 years of experience in QA A proactive, persistent, get-it-done attitude — you enjoy chasing a problem across teams until it’s actually solved, not just reported Experience working with programming languages Java/Python Experience in mobile application testing (iOS/Android) Understanding of client–server and microservice architectures Knowledge of testing theory and test design techniques Experience in defect localization and working with logs Experience developing and maintaining test documentation, analyzing specifications, and the ability to decompose a feature into test cases B1 or higher English level for effective communication with an international team Your bonus skills: Hands-on experience in writing automated tests Experience with AI tools for testing Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Team time zone: The team works within the GMT+1 to GMT+5 time zone Our benefits: Relocation support to one of our hubs — Georgia — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursement Vacation policy: Annual leave and paid sick leave as per applicable policies

Location: Lincolnshire, IL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Shape the Future of LED Innovation LG Electronics is redefining what’s possible in large-format displays, and our DirectView LED (DVLED) solutions are leading the way in stadiums, control rooms, corporate campuses, and immersive experiences worldwide. We’re looking for an experienced Project Engineer II who thrives in the field, someone who can turn complex technical plans into flawlessly executed installations while building strong partnerships and delivering jaw-dropping results. In this role, you’ll be the on-site technical authority, guiding System Integration Partners from the first site visit to final sign-off. You’ll solve problems in real time, optimize installation workflows, and ensure every project reflects LG’s uncompromising quality standards. Why You’ll Love This Role: This isn’t just project engineering, it’s front-line innovation. You’ll work with cutting-edge LED technology, lead installations seen by thousands, and play a direct role in shaping how the world experiences digital displays. Every day in the field brings new challenges, new locations, and the satisfaction of building something unforgettable. What You'll Do As a Project Engineer I , you'll be at the forefront of delivering some of the industry's most innovative DirectView LED (DVLED) installations. Serving as LG's primary on-site technical representative, you'll partner with System Integration teams, customers, and cross-functional stakeholders to transform complex engineering designs into world-class visual experiences. Key Responsibilities Drive Project Success – Coordinate with Project Managers and System Integration Partners to ensure installations remain on schedule and are executed efficiently. Train Installation Teams – Provide installation and product operation training for system integrators, technicians, and LG personnel to ensure successful project execution. Serve as LG's Technical Expert – Act as the primary on-site technical liaison between customers, sales teams, vendors, and integration partners. Solve Complex Challenges – Partner with Technical Engineering teams to troubleshoot and resolve installation, configuration, and system integration issues. Ensure Site Readiness – Evaluate installation environments to verify site conditions, infrastructure, safety requirements, and overall project readiness before work begins. Validate Project Materials – Verify inventory, bills of materials (BOMs), shipping documentation, and equipment prior to installation. Capture Project Progress – Maintain accurate documentation, daily status reports, technical findings, and project updates throughout the installation lifecycle. Champion Product Innovation – Provide technical insights that directly influence next-gen DVLED product improvements while representing customer needs to Product Management teams. Represent LG at Industry Events – Support product demonstrations, trade shows, customer events, and LG Brand Innovation Centers with technical expertise and product setup. Provide Remote Technical Support – Assist customers and partners with troubleshooting and technical guidance when onsite support is not required. Required Qualifications Technical School certification in Electrical Engineering Technology (EET) or equivalent technical education. 2–4 years of hands-on DirectView LED installation experience. Working knowledge of DVLED technology, mounting systems, LED module handling, and installation best practices. Working knowledge of NovaStar and Megapixel LED display control systems, including controller configuration, commissioning, image mapping, and basic troubleshooting. Proficiency in Microsoft Office, Smartsheet, and design tools (Revit, AutoCAD, SketchUp, Visio). Strong ability to read and interpret A/V, electrical, and mechanical drawings. Understanding of IT, networking, and A/V system integration. Exceptional communication, time management, and decision-making skills. Proven analytical and problem-solving abilities. Skilled in documenting and escalating technical issues. Ability to lift and move heavy equipment safely. Comfort working in high-stakes, fast-paced environments—independently or as part of a team. Strong conflict resolution and de-escalation skills. Knowledge of site safety procedures, safe tool use, and ladder safety. Ability to safely use hand and power tools while following established job site safety procedures. Valid U.S. driver’s license and flexibility to travel extensively (75%). Preferred Qualifications Experience supporting large-scale commercial AV or DirectView LED installations. OSHA 10-Hour Construction Safety certification required; OSHA 30-Hour certification strongly preferred. Track record of successful cross-functional collaboration (Sales, Service, Project Management, Sales Engineering). Proven success supporting System Integration Partners and delivering exceptional customer experiences. #LI-DB2 Recruiting Range $80,000 — $95,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules. Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement. Responsibilities Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards Preparing and processing data, training models, running A/B tests, and analyzing results Monitoring and improving model performance, interpreting model behavior and key metrics Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization What makes you the perfect fit 3+ years of experience in ML engineering and building production-ready ML systems Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction Strong track record of delivering end-to-end ML solutions — from idea and data to production and support Proficient Python skills and experience with production-grade development Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs Solid knowledge of A/B testing and result interpretation Experience in architectural decision-making and a drive to improve engineering practices Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging Will be a plus Product-oriented mindset and understanding of business metrics Experience building real-time and high-load ML systems Experience with open-source or self-hosted models Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow) Experience evaluating the UX of AI-driven interactions What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Remote - US Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Site Reliability Engineer Senior (Sr SRE) Responsibilities:   • Provide technical leadership to a growing team focused on applying software engineering practices to operations at scale. • Monitor and report on service level objectives for a given applications services. Work with business and product owners to establish key performance indicators. • Participate in conducting technical training events, game day scenarios, and focused engineering spikes. • Design and architect operational solutions for managing applications, with the specific goal of increasing the automation, repeatability, and consistency of operational tasks. • Create and maintain monitoring technologies and processes that improve the visibility to our applications' performance and business metrics and keep operational workload reasonable. • Sponsor healthy software development practices. • Persistent testing of application and infrastructure resiliency over a variety of error conditions. • Partnering with security engineers and developing plans and automation too aggressively and safely respond to new risks and vulnerabilities. • Collaborate with internal teams to ensure that operational development solutions meet business requirements. • Provide architectural and practical guidance to software development to improve resiliency, efficiency, performance, and costs. • Develop, communicate, and monitor standard processes to promote the long-term health of sustainability and health of operational development tasks. • Collaborate with and include yourself into the “feature/Service” oriented development teams.    Qualifications:   • Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, MIS, or other related discipline required. • Prior relevant software development / architecture experience. • Good hands-on experience in a DevOps or System Administration role. • Prior experience building and supporting cloud-based solutions • Experience in a production environment supporting mission-critical applications • Experience in one or more of the following: C, C++, Java, Python, Go, Perl or Ruby. • Experience with algorithms, data structures, complexity analysis and software design. • Experience working with configuration management and deployment automation tools like Chef, Terraform, Puppet or Ansible. • Experience within operations, administering both Window (2003/2008/2012) and Linux machines. • Knowledge of the Software Development Life Cycle with experience working in QA and beta environments. • Proficiency in cloud computing concepts as well as on premise. • Experience working with Azure cloud infrastructure and services is strongly preferred. • Experience with virtualization and container solutions is strongly preferred. (ie. , Docker, Kubernetes, ECS) • A strong understanding of diverse infrastructure platforms and infrastructure concepts • A strong understanding of the Agile software development methodology • Knowledge of standard production practices including change management • Ability to debug and optimize code and automate routine tasks. • Systematic problem-solving approach coupled with strong communication skills and a sense of ownership and drive.    Nice to Have:   • Versatility as demonstrated with troubleshooting diverse sets of hosting technologies (web server platforms, Java application platforms, operating systems, network components, virtualization technologies, database platforms) • Healthy knowledge of Linux (have compiled your own kernel at some point, know how to trace syscalls, understand TCP, care about the difference between sysvinit/runit/systemd, etc.) • Knowledge of Open Source software’s and contributions to the open source community.     Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset. PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The USD base salary range for this position is $142,300-177,900+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all USD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... This person will be part of our Growth Data Science team, collaborating with peers and cross-functional partners in Product, Finance, and Strategy to continuously improve our forecasting capabilities. They will drive methodological advances and deliver trustworthy business-critical quarterly forecasts, built on a deep understanding of the dynamics of user growth across Duolingo’s product portfolio. 🧠  You will... Join a small team of data scientists focused on User Growth forecasting. Collaborate with peers and mentor junior data scientists to ensure that our forecasts remain trustworthy and reliably delivered. Work with diverse stakeholders to develop forecasts that reflect a deep understanding of our product development, big bets, and evolving business strategy. Translate complex analytical findings into clear narratives for senior leadership and cross-functional partners. Influence strategic decisions through a combination of technical depth and effective communication. Develop and validate methodological advances to our forecasts, aligning methodological strengths with business priorities. Build systems and processes that ensure our forecasting process is robust and repeatable. ✅  You have... Applied industry experience building forecasts in messy real world settings where details, confounds, and the validity of assumptions matter. A graduate degree in Data Science, Statistics, Economics, or a related quantitative field, or equivalent demonstrated expertise in formal analytical techniques. Demonstrated ability to connect technical results to real-world recommendations, and to translate product and business changes into technical requirements. Strong command of SQL, Python, AI analysis tools, and data/analytics engineering ecosystems. Exceptional communication skills, both written and verbal, with the ability to distill complex quantitative work into crisp, actionable insights for diverse audiences. ⭐  Exceptional candidates will have... Experience operating at a high-growth consumer technology company, including experience with user growth forecasting specifically. Experience at a public company, including the analytical demands that come with investor-grade reporting and forecasting. An impressive Duolingo streak. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $182,800 — $247,300 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Warsaw, Poland What is Box? Box (NYSE: BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together — and at Box you will be on the front lines of this massive shift. Why Box needs you: As a Senior Software Engineer on the Desktop Applications team at Box, you'll be at the heart of building and evolving the products that millions of users rely on every day - Box Drive, Box Tools, and Box for Office on both Windows and macOS. You'll work across the full depth of the desktop stack, from virtual file systems and OS integrations to sync, networking, and UI, helping shape how enterprise content comes to life on the desktop. You'll collaborate closely with Product Managers and designers to deliver features that are fast, reliable, and secure - and you'll bring a growth mindset and a passion for leveraging AI tools to accelerate your impact. What you'll do: Design, develop, and ship high-quality features for Box's desktop applications (Box Drive, Box Tools, Box for Office) on Windows and macOS, ensuring they are performant, user-friendly, and secure Work across the full desktop stack — including virtual file systems, data persistence, OS integrations, network and sync layers, and UI — to solve complex technical challenges at scale Collaborate daily with Product Managers, QA engineers, and designers to translate requirements into robust, well-tested software Lead and participate in design discussions, architecture reviews, and code reviews to uphold engineering quality and share knowledge across the team Diagnose and resolve complex performance, reliability, and compatibility issues affecting millions of end users Attend and engage in weekly stand-ups, team meetings, and manager 1:1s Work collaboratively with other engineers, team members, and across teams Play a role in developing and fostering Box culture in the Warsaw office and represent Box Poland internally and externally Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise Who you are: We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years of professional desktop software development experience Proficient in Python, C++, C# and/or Swift, with a strong command of software design and architecture principles. Demonstrated experience building and shipping desktop applications on Windows and/or macOS Comfortable working across the full desktop stack: virtual file systems, OS integrations, networking, sync, and UI Experienced with unit testing and functional testing practices in an agile team environment Passionate about building software that is user-friendly, performant, and secure Strong problem-solving skills with the ability to diagnose and resolve complex technical issues Able to assess, communicate, and complete project milestones with your manager and team members in a time-sensitive manner Must speak English proficiently Experience with Windows systems-level programming (Win32 APIs, multi-threading, IPC, COM) Cross-platform development experience across both macOS and Windows Prior experience using AI coding tools (e.g. Cursor, Claude) as part of your daily workflow Percentage of Time Spent: 15% design and architecture 60% coding, code reviews, and testing 15% bug fixes 5% documentation 5% meetings Methodology: Agile management — Scrum Issue tracking — Jira Knowledge repository — Box / Confluence / GitHub Enterprise Code reviews — GitHub Enterprise Version control — GIT CI/CD — Jenkins Communication — Slack / Zoom BENEFITS Check out the overview of Life at Box which include general perks and benefits. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-GW1

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - UK Role Summary As a Forward Deployed Engineer (FDE) at Cloudflare, you will serve as a senior technical expert and advisor for our most strategic and complex customers. This role balances deep technical expertise with hands-on, onsite engagement, where you will architect solutions, optimize performance, and drive business success by helping customers maximize the value of Cloudflare’s platform. You will collaborate cross-functionally with Sales, Support, Product, and Engineering to advocate for customer needs and influence our product roadmap. We are looking for a seasoned technologist who thrives on solving real-world challenges and acting as a trusted advisor within our customers' unique environments. Role Responsibilities Serve as a trusted advisor to key enterprise customers, providing strategic recommendations and technical insights to drive success with Cloudflare’s solutions, specifically Workers and Workers AI platforms. Lead architectural discussions, design sessions, and solution reviews to ensure the optimal application of Cloudflare’s offerings in customer environments. Diagnose complex technical issues and deliver effective, strategic solutions in close collaboration with support and product teams. Manage and navigate complex configurations, utilizing Infrastructure as Code (Terraform) to ensure operational stability for customers. Partner with Sales, Customer Success, Support, Partners, Product Management, and Engineering to ensure customer insights directly influence the product roadmap and enhance the overall experience. Advise customers on industry best practices for security, network optimization, scalability, and performance tuning tailored to their specific operational needs. Stay current with industry trends and evolving Cloudflare solutions to provide forward-thinking guidance and configuration enhancements. Role Requirements (Must-Have Skills) In Depth Experience in a technical customer-facing role such as Solutions Architect or Technical Account Manager, ideally within cloud networking, security, or web infrastructure. Extensive knowledge of Cloudflare’s Application and Security portfolio (DNS, WAF, DDoS, Bot Management, CDN) and cloud infrastructure. Hands-on experience protecting and securing web applications, APIs, and web services using WAF, DDoS, DNS, and Bot Management tools. Proven ability to work with Cloudflare products within Enterprise-level accounts. Exceptional written and verbal communication skills, with the ability to present complex topics effectively to both technical and non-technical audiences. Strong consultative skills with a track record of successfully solving complex technical problems in customer environments. Ability to translate customer requirements into practical, scalable solutions that align with Cloudflare’s technology stack. Nice-to-Have Skills Hands-on experience with coding, Cloudflare Workers, and Workers AI. Prior experience in customer onsite placement. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Hong Kong, Singapore Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong, Singapore Programme duration: 3–6 months, or full-time graduate, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour. The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability. As an intern or graduate in the FPGA team, you will: Build production FPGA systems – Contribute to the design, development and optimisation of FPGA-based platforms used in live trading. Work across hardware and software – Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems. Develop and verify new functionality – Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them. Integrate systems – Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure. Analyse performance – Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made. Work with modern FPGA technology – Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading. Explore new approaches – Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems. Your present skillset Interest in technology: You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential. HDL experience: Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL. Programming: Experience with C++ and/or Python. Technical foundations: An understanding of digital logic design, computer architecture and high-speed interfaces. FPGA tools: Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential. Problem solving: You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency. Mindset: Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candi dat es will complete a technical interview with the relevant team . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong, Singapore, Shanghai Location: Hong Kong, Singapore, Shanghai Programme duration: from 3 to 6 months, starting in 2027. Who qualifies : penultimate or final year students completing bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical and collaborative, with plenty of scope to ask questions, explore different approaches and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. Infrastructure The Infrastructure team looks after the on-premise hardware and operating systems behind our production trading environment. The work goes well beyond keeping systems running: engineers measure and optimise hardware performance, investigate Linux internals and tune systems where small changes can make a meaningful difference. You’ll develop a detailed understanding of how hardware and software interact and how to make production systems faster, more stable and more predictable. Research Infrastructure Research Infrastructure builds and operates the high-performance compute, networking and storage systems behind QRT’s research. These systems support large-scale data processing, advanced analytics and machine learning and AI workloads using technologies such as PyTorch. The team works closely with researchers to understand what their workloads need and design infrastructure that can meet those demands efficiently. The aim is simple: give researchers reliable, scalable compute so they can spend more time on research and less time thinking about the infrastructure underneath it. HPC Storage The HPC Storage team builds and operates the high-performance storage infrastructure behind large-scale research and computing workloads across QRT. The problems involve moving and serving large volumes of data reliably, securely and quickly enough to support demanding simulations and analyses. You’ll work with enterprise-scale storage technologies and collaborate with engineers, researchers and technology vendors. It’s an opportunity to understand storage at scale, from the underlying architecture and performance characteristics to the way researchers and compute systems interact with it. Network Operations Network Operations is responsible for the availability, reliability and security of QRT’s global network, connecting the systems behind our research and trading activities. The team investigates incidents, develops observability tooling and builds automation to make operating the network more reliable and efficient. Alongside day-to-day operations, the team works on the infrastructure needed for high-performance compute and low-latency trading. This means understanding how networks behave in practice, finding the source of difficult problems and looking for ways to make systems simpler to operate and easier to observe. DevOps Platform Engineering builds and automates the infrastructure, tools and workflows behind QRT’s research and trading platforms. Working across cloud and on-premise environments, the team brings together DevOps, cloud, networking, security, infrastructure and software engineering. You’ll work on the systems that allow researchers and developers to build, deploy and operate technology efficiently at scale. That could mean improving deployment workflows, automating infrastructure or finding better ways to make complex systems reliable and repeatable. SRE Site Reliability Engineering sits at the intersection of software engineering, quantitative research and trading. Working closely with researchers and traders, the team builds reliable, high-performance systems and develops tooling and automation for deployment, monitoring, operations and incident response. The work combines software engineering with an interest in how systems behave in production. You’ll investigate technical problems, improve observability and help design systems that remain resilient as they scale, while developing an understanding of the quantitative workflows they support. Your present skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Information Technology, Networks or a related subject Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Depending on the team, relevant knowledge and experience may include: Programming or scripting in languages such as Python or Bash. Tools such as Git, SQL and GCC. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of storage concepts such as RAID, erasure coding, file systems and networking protocols. Knowledge of networking concepts including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Hands-on experimentation with Linux, such as building Linux systems on laptops or Raspberry Pis or working with custom Android installations, particularly for on-premise Infrastructure roles. Mindset – Curious about how systems work and comfortable getting into the detail when something doesn’t behave as expected. You approach problems methodically, ask questions and look for practical ways to improve performance or reliability. Approach – Self-motivated, collaborative and comfortable taking ownership of a technical problem. Interviewing: Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Hong Kong Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: Hong Kong Programme duration: 3–6-month internship, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers working on production systems. The environment is technical and collaborative, with plenty of scope to ask questions, investigate unfamiliar problems and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As part of QRT’s Security team, you’ll help protect the systems, data and infrastructure behind our global research and trading activities. You’ll work closely with our Cloud, Infrastructure and Network Operations teams to design and implement security controls across a complex, high-performance technology environment. The team works across security engineering, detection and response, vulnerability management and security assurance. Rather than treating security as a separate layer, we work directly with engineering teams to understand how systems behave, identify weaknesses and build practical ways to prevent, detect and respond to threats. As an intern, you’ll contribute to real security problems and have opportunities to build tooling, investigate emerging attack techniques and improve how we automate security work at scale. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Cyber Security, Informatics, Computing or a related subject Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Examples of relevant knowledge and experience include: An understanding of security principles and technologies such as firewalls, IDS/IPS, vulnerability scanning, password management, encryption and secure coding practices. Programming or scripting experience, particularly with Python or Bash. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of networking concepts, including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Examples of the projects you may work on include: Triage agent development – Use MCP servers to build and improve a triage agent that supports cyber-security investigations. Detection engineering – Reproduce emerging attack techniques in segregated lab environments and test how effectively our detection systems identify them. Security assurance – Contribute to vulnerability research, security reviews and remediation testing, working with security and engineering teams to understand and address weaknesses. Security automation – Build tools and automation that make security assurance more scalable, consistent and effective. Mindset – Curious, proactive and comfortable asking questions. You’re willing to investigate unfamiliar systems, follow evidence and challenge assumptions when something doesn’t look right. Approach – Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Apply Online – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candi dat es will complete a technical interview with the relevant team . Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Nairobi Workplace: Hybrid ABOUT THE COMPANY Nuru Solutions is a B2B agricultural data intelligence platform operating across Kenya, Malawi, Nigeria, and Somalia. We combine satellite imagery, weather data, ground truth, and machine learning to deliver farm-level intelligence to insurers, lenders, and agribusinesses serving smallholder farmers.   Our platform powers six core analytical pillars: crop health monitoring, yield prediction, risk profiling, farm boundary detection, credit risk, and market price forecasting. We achieve 80–98% accuracy through a hybrid approach that fuses multi-source satellite data, ML models, and validated ground-truth data, a combination that outperforms single-source competitors. ABOUT THE ROLE Nuru is at an inflection point. We have validated product-market fit with, have a growing institutional pipeline, and proven model accuracy across multiple countries. As we scale from pilot delivery to commercial-grade operations, we need a senior ML leader who will own the integrity, reproducibility, and continuous improvement of every model we ship.   This person will be responsible for transforming Nuru’s ML function from a talented-but-informal operation into a rigorous, scalable, and auditable system that institutional clients can rely on. WHAT YOU WILL DO 1. Model Ownership & Lifecycle - Own the complete ML lifecycle - Lead model development, training, validation, deployment, and ongoing performance monitoring for all production models. - Architect and maintain reproducible ML pipelines on AWS, ensuring all models are version-controlled, documented, and independently reproducible. - Drive multi-crop expansion (from maize to beans, sorghum, potatoes, and horticultural crops) and cross-country model generalisation across diverse agroecological zones and cropping calendars. 2. Governance, Validation & Quality - Own and enforce Nuru’s Model Validation Protocol, including the Test 1 / Test 2 distinction: internal holdout results (Test 1) are for internal use only; independent field validation (Test 2) is the sole metric approved for external reporting. - Execute and maintain Model Validation & Sign-Off Reports for all production models (19 models currently require individual sign-off). - Lead Quarterly Model Governance Reviews, documenting model health, drift, and accuracy trends. - Enforce the model change protocol: no model modification ships without documented justification, before/after accuracy comparisons, and sign-off. - Establish pre-delivery quality assurance for all client-facing datasets and analytics, including automated checks for data integrity issues (e.g., impossible values, distribution anomalies). 3. Ground-Truth & Data Strategy - Design and oversee ground-truth data collection strategies, integrating field surveys (KoboToolbox), drone imagery, crop-cut samples, and in-person validation. - Work with sparse, noisy, and incomplete ground-truth data typical of smallholder agriculture contexts, developing robust approaches to training and validation under data scarcity. - Collaborate with operations teams across Kenya, Malawi, Nigeria, and Somalia to ensure field data quality and timeliness. 4. Team Leadership & Stakeholder Communication - Mentor and develop junior data science team members, establishing standards for code quality, documentation, and peer review. - Collaborate with product, engineering, and client-facing teams to translate model capabilities into actionable intelligence delivered via dashboards, APIs, SMS/WhatsApp, and client reports. - Defend model methodology and accuracy claims to institutional partners, including actuaries, risk analysts, and underwriters at organisations like Swiss Re and FSD Africa. - Present technical findings clearly to non-technical stakeholders, including investors, board members, and partner executives. WHAT YOU HAVE Must-Haves (Required) - 7+ years of professional experience in machine learning, with demonstrated expertise in geospatial ML, remote sensing, or agricultural applications. - Hands-on experience with satellite imagery analysis (Sentinel, Planet Labs, or similar), vegetation indices, and time-series modelling for crop or environmental applications. - Proven track record building ML governance and quality systems — ideally in environments where formal processes did not previously exist. - Strong MLOps foundation: version control (Git), model registry, experiment tracking, reproducible training pipelines, and deployment automation. - Experience managing or mentoring small technical teams (2–5 people) in fast-moving, resource-constrained environments. - Comfort working with sparse, noisy, or incomplete datasets and designing robust validation approaches under data scarcity. - Ability to communicate technical complexity clearly and credibly to institutional clients, investors, and non-technical leadership. - Self-directed problem-solver who thrives in early-stage environments where you build the systems, not just use them. Strongly Preferred - Understanding of agricultural systems and smallholder farming contexts in East or Southern Africa. - Experience with AWS cloud infrastructure (S3, EC2/ECS, IAM) for ML workloads. - Familiarity with insurance, credit risk, or financial product design in agricultural or development contexts. - Experience with ensemble methods (Prophet, LSTM, XGBoost), CNNs, and foundation models (SAM or similar) in production settings. - Prior work with ground-truth data collection programmes (crop cuts, field surveys, drone validation). WHAT WE OFFER - A company recognised as one of the 30 most promising African startups - A validated impact: 25,000 farmers served - Direct collaboration with the CEO and a lean, mission-driven team across four countries. - The opportunity to build the ML governance and infrastructure layer for a platform that is becoming critical data infrastructure for African agrifinance.

Location: ES - Barcelona, Spain Scopely is looking for a Lead UI Artist to join our MONOPOLY GO! team in Barcelona (Spain) on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US and works daily to create captivating new experiences for our players. Lead UI Artist Every interaction in Monopoly GO! is an opportunity to make the game feel intuitive, polished, and unmistakably ours. Great UI guides players effortlessly through the experience while bringing clarity, personality, and delight to every screen. The craft of UI design is evolving just as quickly as the game itself, and we expect our Lead UI Artist to help define where it goes next. While AI's role in UI is still emerging, experimentation and fluency with evolving design tools are increasingly important. Here, your influence extends beyond individual screens to evolving design systems and workflows that help artists make consistently strong decisions at scale. If you're energized by solving complex design problems, developing the people around you, and creating the principles and systems that allow great UI to remain great as the game grows, you'll find no shortage of opportunities here. What You Will Do Establish and uphold the UI vision each season, in partnership with the Art Director and Product/UX leads. Set the bar for quality and technical craft, while exploring where AI-assisted workflows can meaningfully improve UI design and production, turning successful experimentation into practices the wider team can adopt. Own and continuously improve UI's design-system standards and guideline documentation, partnering with UX and Tech Art on implementation. Manage and mentor the discipline, owning performance reviews, goal-setting, and team health. Take part in hiring to make sure new hires are the right fit, and champion the team's culture. Be the primary point of contact and voice for UI, coordinating the discipline's work with the rest of production, from planning through delivery. What We're Looking For 8+ years practical UI/design experience in games (mobile preferred), including 3+ years leading, mentoring, and setting the design bar for a team. Demonstrated fluency with AI-assisted creative tools and the judgment to evaluate where emerging workflows can improve quality, iteration, or efficiency within UI design and production. Track record shipping multiple mobile titles' UI systems in casual/whimsical art styles, partnering across Design, UX, and Engineering to deliver consistent, high-quality user experiences. Expert-level UI/UX and graphic design skills, including typography, iconography, and interaction design, backed by mastery of Photoshop, Illustrator, and Figma. Positive attitude and the ability to give and receive objective feedback. Bonus Experience navigating the brand guidelines and approval pipeline of at least one externally-licensed IP. A passion for mobile gaming. Please ensure that the résumé/CV you attach is written in English. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.