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Location: Porto, Portugal Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities TeamViewer's Frontline solution empowers frontline workers through workflow-based, real-time assistance on smart glasses, mobile phones, and tablets. Our platform connects the physical and digital worlds, combining 2D and 3D authoring tools to transform how industrial teams collaborate. We are looking for an experienced and committed (Senior) Full Stack Software Engineer with strong expertise across React and Java Spring Boot to help us develop the next generation of the Frontline platform. You will work across the full stack, delivering features end-to-end from UI to backend services. Design, implement, and maintain frontend applications using TypeScript and React . Design, implement, and maintain backend services and APIs using Java and Spring Boot . Participate in architecture and application design to ensure reliability, scalability, and maintainability across the full stack. Write clean, testable, and maintainable code using modern engineering and CI/CD practices. Engage in peer reviews, pair programming, and technical discussions to continuously raise code quality and alignment. Take ownership of your domain and deliver results with accountability and curiosity. Explore and evaluate emerging technologies that can enhance the platform's capabilities. Requirements University or college degree in Computer Science, Software Engineering, or a related field. 7+ years of professional experience in full-stack software development, or proven senior-level expertise in designing and delivering complex software systems. Strong expertise in TypeScript and React for frontend development. Strong expertise in Java and Spring Boot for backend development, including frameworks such as Spring Data and Spring Security. Solid understanding of RESTful APIs , microservices , and distributed system design. Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate). Experience with CI/CD pipelines , Docker , and container orchestration (e.g., Kubernetes). Understanding of security and authentication standards (JWT, OAuth2, OpenAPI). Fluency in English; other languages are a plus. Nice to have Experience working with message queue systems (e.g., NATS, Kafka, RabbitMQ). Experience with public API design and developer-facing integrations. Experience with micro-frontend architectures (e.g., Module Federation, single-spa). Familiarity with state management libraries and patterns (e.g., Redux, Zustand, React Query). Experience with component libraries and modern frontend tooling. Familiarity with monitoring and observability tooling (e.g., Prometheus, Grafana, ELK). What we offer Onsite Onboarding in our HQ office for an optimal start The opportunity to work on a platform used by frontline workers across industries worldwide A collaborative, engineering-driven culture that values ownership, quality, and continuous learning Room to grow technically and professionally within a global technology company Great compensation and benefits packages including company achievement bonus Public transport friendly offices Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy , no dress code rules, and frequent all Hands Hybrid and Flexible work time Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Belgrade, Serbia We are part of the Spain based Carazo Group , incorporated in 2012, managing a portfolio of 20+ carefully selected luxury brands with a strong international distribution network across Europe, the United States, and Latin America. Qualix D.O.O.Beograd is the Serbian entity of the international Adrian Magnus brand, part of the Carazo Enterprise Group founded in 2012. We operate across Europe, the United States, and Latin America. Our mission is to bring the world’s finest handcrafted cigars to enthusiasts with precision, integrity, and a deep respect for tradition. We are strengthening our footprint on the US market and looking for a B2B Sales Representative , based in Serbia, to drive outreach and sales growth across US distributors, retailers, shops, and cigar networks. This is an on-site role based in our New Belgrade office , requiring strong communication skills, outbound sales experience, and the ability to collaborate effectively with US-based partners and teams across time zones. You will play a key role in introducing premium cigar brands to new partners and supporting our expansion into the US market. Key Responsibilities Conduct outbound B2B sales outreach to distributors, retailers, and cigar shops across US Build and manage a sales pipeline — from prospecting to follow-up, negotiation, and closing Present product catalogs, pricing, and brand stories to potential partners Maintain accurate CRM records and follow structured outreach and follow-up cycles Coordinate virtual meetings, discovery calls, and product presentations Collaborate with internal teams (logistics, operations, distribution) to support order processing Provide ongoing market insights and feedback to help refine sales strategy Achieve monthly and quarterly sales targets aligned with growth goals Ensure excellent communication and relationship-building with all B2B partners Requirements Fluent English (C1 or higher) — ideally C2, both spoken and written Minimum 2 years of sales experience in an English-speaking market (B2B preferred) Strong background in outbound sales and cold outreach Based in Belgrade with availability to work across US time-zones 4pm - 12am Excellent communication, persuasion, and relationship-building skills Experience using CRM systems and modern sales tools Strong discipline in on-site work, self-organization, and time management Benefits Attractive performance bonuses based on results Opportunity for growth within a rapidly expanding international brand Work with premium global products and a multicultural team

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ We don’t have a rigid set of skills, but here’s some of what we’re looking for: - A deep understanding of modern ML techniques and tools for training transformers - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library - The ability to perform roofline analysis on a transformer training setup - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Summary GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that. Finding senior research staff is a hard problem for a couple reasons: The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes. Our process is very competitive. The offer rate for senior research roles is less than one in a thousand. We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster. The role You'd work closely with our manager, research recruiting and the team to own recruiting for some of our Researcher , Program Officer, Senior Researcher , and Senior Program Officer roles. Your time split will vary depending on team needs and your interests, but might look something like this: Pipeline management, moving things forward: 35% Coordination and communication with e.g. hiring managers and work test graders: 15% Process improvements: 10% Application review: 10% Conducting and evaluating interviews: 10% Sourcing and outreach: 10% Candidate communication and closing: 10% A few strategic problems we’ll want you to think about: After candidates apply, is our assessment process effective? Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed. Where do we even find good candidates? The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own). How can we use data to make better decisions? Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it. What are ways our hiring process could be much better? This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information? You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition. About you You’re excited about GiveWell's mission and methods. You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different. You’re careful and truth-seeking with your beliefs. For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things. You're unusually curious and analytical. When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident. You have very high standards. We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar. You’re entrepreneurial and high agency. You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan. You're direct. You say what you actually think even when it's uncomfortable. You’re good at communicating in writing. You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo. If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply. Qualifications We care much more about the qualities described above than any specific background. That said, some things that might help: Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization Comfort with data — spreadsheets and basic quantitative analysis Strong written communication Experience working closely with executive-level leadership Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org. Key Questions What are some of the reasons I might not like this role? You’ll be running hiring rounds from start to finish. We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines. GiveWell has a unique approach to hiring, and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.” You’ll need to deeply understand our work and culture to succeed. We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates. You will be expected to hunt, not just farm. While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in. You’ll be collaborating with leaders with high expectations. We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results. What does growth look like in this role? GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader. What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like: Simulating a hiring manager intake conversation Walking through a sourcing strategy for a hard-to-fill role Reviewing a job description or process and offering a critique Writing a candidate outreach email or internal communication We'll share more specific details if we invite you to move forward, but our current plan is: Screen with a member of the Talent Acquisition team Work trial(s), which might include live conversations and written work A combined achievements, values, and technical interview with the Manager, Research Recruiting References Team structure This role sits on GiveWell's Research team and reports to our Manager of Research Recruiting. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation. We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context. The details Compensation: NYC or the San Francisco Bay Area: $149,600 All other U.S. and international locations: $136,000 Benefits: Our benefits include (in the US): Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we’d encourage you to check back and apply again for a role you’re eligible for. Visa sponsorship: We are not currently able to sponsor visas for this role. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems. Your responsibilities will include: Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments Develop and maintain network design documentation, standards, and operational procedures Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6) Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure Automate network operations and workflows to improve reliability, scalability, and operational efficiency Ensure high availability and performance of production networks through proactive monitoring and continuous improvement What we expect you to have: Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies Deep expertise in routing protocols including BGP and IS-IS Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing Proven experience designing and documenting large-scale network architectures Experience developing and executing network testing strategies and validating vendor solutions Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox Working proficiency in English It will be an added bonus if you have: Working proficiency in an additional European language Experience with public cloud networking and GPU/InfiniBand environments Knowledge of software-defined networking (SDN) overlays in cloud environments Proficiency in Python, Go, or other programming languages in Linux environments Experience using programming languages for network automation and tooling Working conditions: Remote work within the United States Work closely with globally distributed infrastructure and engineering teams Participation in on-call rotations to support production environments Key employee benefits: Comprehensive health insurance 401(k) plan with company contribution Paid time off and public holidays Flexible working hours Professional development and certification support Compensation: $125,000 – $180,000 USD per year, depending on experience and qualifications Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Role We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring. Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes). What You’ll Do Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows. Help shape user-facing tools to make the platform approachable for all skill levels. Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane. Contribute to platform reliability, testing, observability, and operational excellence. Qualifications Solid engineering background, ideally in platform, data, or ML-adjacent teams. Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink). Empathy for users and interest in building abstractions that remove friction. Curious and collaborative mindset — eager to learn from others and contribute broadly. Experience with ML tooling, or data pipelines is a plus. The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion. Pay Range: €7.102 — €8.878 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/Options Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities. Take full ownership of data products, guiding them from initial concept through to stable production. Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability. Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems. Provide on-call support as needed. Qualifications: A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading Experience with Linux-based, concurrent, high-throughput, low-latency software systems Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster) Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience The annual base salary range for this position is $175,000 $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . *This is a remote role and can be performed anywhere in Brazil/Colombia* The Role We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift. Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here. This role is designed for candidates with experience building and improving deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas: Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows) RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses) Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video) STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis) Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data) What You'll Do 1) Own data and environment quality from an AI researcher perspective Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics. Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work. Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude). Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts. Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections. 2) Design and build datasets and RL environments for your capability area(s) Contribute to or lead the design of: Task suites (single-step and long-horizon workflows) Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators) Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics) Depending on your mapped capability area(s), you may focus on: Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes). Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks). STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity). Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models. 3) Build robust validation, denoising, and synthetic data systems Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review. Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls. Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts. Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage. 4) Use evaluations and training runs to prove impact Design and run evals that reflect the client's intended usage. Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift. When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways. 5) Collaborate effectively with large production teams without being ops-heavy Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals. You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery. You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL. Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners. Who We're Looking For 4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems). Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure. Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights. Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned. Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes. Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus. Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria. Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity. Strong pluses RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design). Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis). Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional). STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness. Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces). Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows. Why Turing Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks. Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar. Talent-dense team, where you'll find rapid iteration and an exceptional learning curve. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Senior Detection and Response Engineer at Qube Research & Technologies (QRT) will be tasked with improving and optimizing our capability to effectively monitor, detect, respond, and remediate security incidents. You will be part of a global security team, implementing highly automated security operations processes and systems to meet dynamic company growth. You will have an opportunity to design and build systems from scratch, interact with various technologies, influence architecture, decide on specific technologies or tools, and work on cutting edge projects. As the security team, our top priority is to ensure that our data and assets are safeguarded using controls, which do not disrupt the business, whilst acting as an enabler. We work with many stakeholders at all levels across the business, including IT, Cloud and Engineering. QRT runs a hybrid technology stack across multiple data centers, extending to various locations across the public cloud. The combination of on-premises and Cloud allows us to achieve performance and low latency requirements, which are important for quantitative and systematic investments. Your future role within QRT Monitor and analyse security events and alerts from diverse and disparate data sources to detect threats Coordinate incident response activities including investigation, containment, remediation, recovery and lessons learnt Deploy, tune, administer and implement security detection and response solutions, tools, configuration and related processes Develop high fidelity security detections across our tooling suite Collaborate with cross-functional teams to improve detection capabilities, including deploying new tools, log ingestion and enrichment, developing detection use cases and playbooks or designing automated response mechanisms Capable of proactively performing threat intelligence driven hunting Liaise with external vendors / MSSP / third-party stakeholders as required Develop strategic objectives to increase the maturity of the Detection and Response function Your present skillset Extensive hands-on experience in detection and response within enterprise security environments Demonstrable experience in creating customized security detection use cases Demonstrable experience in digital forensics analysis and incident response Demonstrable experience with building, troubleshooting and optimizing Detection & Response technologies (e.g., SIEM, Threat Intelligence Platform, Automation) Understanding of different adversary tactics, techniques and procedures Technical understanding and knowledge of network and operating system fundamentals Experience working in hybrid environments (public cloud/on-prem) utilising various operating systems Experience in CI/CD pipeline development and deployment automation would be advantageous Programming/scripting language skills (e.g., Python, Bash, PowerShell) would be advantageous Excellent verbal and written communication skills across different organisation stakeholders Proactive mindset, capable of driving process improvements and automation initiatives Base salary range for this position is $160,000 to $220,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT This team is integral to the firm’s success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality. Provide first-line support to researchers and traders for data access ad usage. Collaborate with data engineers to resolve data issues. Onboard new hires and train them on using data tools and processes efficiently. Manage JIRA workflows, track support requests, and ensure timely resolution of data issues. Contribute to data documentation. Contribute to extending data coverage (live collection and backfills) Your present skillset A bachelor’s degree in Data Science, Computer Science, Finance, or a related field. Experience in data support, IT helpdesk, or technical support, ideally within finance. Strong command of Python and data libraries. Proficiency with data systems, pipelines, and APIs. Experience with JIRA or similar project management tools. Strong problem-solving skills, communication abilities, and attention to detail. Base salary range for this position is $150,000 to $180,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: Hybrid 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: Amsterdam, Netherlands or London, United Kingdom About the Role We are seeking a highly accomplished and strategic Account Executive to join our Central Eastern Europe (CEE) Digital Natives Sales team. In this advanced role, you will be pivotal in driving significant growth by leading comprehensive sales cycles within a portfolio of assigned enterprise-level clients, and strategically acquiring new logos. The ideal candidate possesses a deep blend of advanced sales acumen and sophisticated technical understanding, enabling them to lead engagements at all levels, from the C-suite to technical leaders (e.g., Head of/VP of Networking or Security). As an Account Executive, you will consistently demonstrate advanced proficiency in all sales activities, ensuring highly accurate forecasting, proactive and strategic pipeline management, and consistently exceeding attainment targets. You will be a subject matter expert, speaking fluently about Cloudflare's products, features, benefits, and use cases across diverse customer segments. This role demands the ability to deeply understand complex customer IT Architectures, match them with relevant Cloudflare Reference Architectures, and orchestrate successful, large-scale platform sales. You will be a key driver of digital transformation for our customers, understanding their broader market trends and how Cloudflare uniquely enables their strategic initiatives. What You'll Do Strategic Revenue Generation: Architect and execute advanced territory and account plans to consistently exceed multi-million dollar sales targets and annual quotas, with a strong focus on new business acquisition and expansion within complex enterprise environments. Expert Pipeline & Forecasting: Lead proactive and strategic pipeline management efforts, demonstrating a sophisticated understanding of sales cycles and customer buying processes. Deliver highly accurate forecasts, providing clear insights and strategic guidance to sales leadership. Deep Customer & IT Architecture Understanding: Develop a profound understanding of customers' IT architectures, including applications and third-party technologies. Architect and align Cloudflare Reference Architectures to customer environments, driving comprehensive platform solutions. Multi-Engagement Leadership: Orchestrate and manage multiple complex customer engagements simultaneously across various business units within an organization. Strategically connect disparate needs to strengthen Cloudflare's platform sale, actively involving and influencing technical C-level minus one executives. Virtual Team Leadership: Set clear direction and lead a virtual team of in-GEO specialists, Product Managers, Deal Desk, and Legal to collaboratively manage and close complex customer opportunities. Proactively identify and navigate through situations to address colleague and customer needs, escalating as appropriate to drive urgency and efficient delivery. Digital Transformation Authority: Act as an authority on digital transformation, understanding key drivers (e.g., new offering development, enhanced customer capabilities) and the broader market trends influencing these decisions. Position Cloudflare as a critical enabler of these transformations. Compelling Value Creation: Articulate highly compelling, strategic value propositions for Cloudflare's services, directly linking them to customer business outcomes and strategic objectives. Lead with a strong focus on the "why," communicating the whole picture to both internal and external stakeholders. Advanced Negotiation & Closure: Expertly lead and navigate complex contract negotiations, driving win-win scenarios for all parties. Demonstrate advanced closing skills across new business and expansion opportunities. Trusted Advisor & Coach: Build long-term, executive-level strategic relationships, ensuring deep customer adoption, retention, and expansion. Consistently provide clear, direct, and constructive feedback to team members, coaching them to improve communication, learn from mistakes, and enhance the quality of work. Share learnings proactively to build trust across the organization. Organizational Impact & Leadership: Consistently focus on the long-term needs of the team and the business, understanding how decisions impact other teams and openly sharing these insights. Leverage company-wide learnings to improve department and team execution. Serve as a leader within Cloudflare, making significant contributions while elevating the work of others by bringing diverse perspectives and strategic long-term thinking. Examples of Desirable Skills, Knowledge, and Experience Fluency in English and one of the languages from the CEE (written and spoken). 6+ years of advanced experience selling complex technology solutions into Digital Natives companies across Central CEE , with a significant track record of consistently exceeding multi-million dollar quota targets. Deep expertise and fluency in Cloud Networking, Security, and Edge Computing technologies , with an exceptional ability to articulate features, benefits, and use cases across diverse customer segments (e.g., SMBs, enterprise, vertical markets). Proven ability to deeply understand complex customer IT architectures and effectively map them to Cloudflare Reference Architectures for successful platform sales. Demonstrated success leading and influencing virtual cross-functional teams (e.g., Solution Engineers, Product Managers, Legal) to drive complex deals to closure. Exceptional strategic communication and presentation skills , with a focus on articulating the "why" and conveying the whole picture to executive leadership and technical decision-makers (C-level minus one). Advanced negotiation skills with a track record of closing large, complex, six-figure and multi-million dollar deals. Expert-level sales acumen: unparalleled proficiency in discovery, positioning, competitive selling, negotiation, closing, and expansion strategies within enterprise accounts. Authority on digital transformation trends and their impact on enterprise customers, with the ability to position Cloudflare as a key enabler of strategic business outcomes. Strong coaching and mentorship abilities , with a passion for helping colleagues grow and improve. Highly self-motivated, entrepreneurial, and resilient , thriving in a fast-paced, high-growth environment with a consistent focus on long-term goals. Proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC framework application). Bachelor's degree required , with a technical background (e.g., engineering, computer science, MIS) highly preferred. Ability to travel as required to engage with key customers and internal teams. Compensation For Netherlands based hires: Estimated annual salary is between €169,000 - €232,000. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity This role is eligible to participate in Cloudflare’s equity plan. 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, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system. About the Role We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments. You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span: Identity trust & risk modeling — fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals. Cluster & relationship intelligence — graph and clustering methods to identify account farms, mass registration, and coordinated attacks. Behavioral risk modeling — behavioral features and sequence models for account takeover and abnormal-session detection. Biometric & multimodal signals — face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer. AI agents — applying agentic AI to scale investigation, detection, and operational defense. What You'll Be Doing Build identity trust & risk models: Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning. Uncover organized fraud with graph & clustering: Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse. Develop behavioral features & sequence models: Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions. Leverage biometric & multimodal signals: Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself. Drive execution & collaboration: Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling. Advance applied R&D: Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses. Raise the technical bar: Contribute to design reviews, share applied-AI best practices, and mentor junior engineers. What We Look For 5+ years of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production. Graph & clustering expertise: Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection. Behavioral modeling: Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines. Deep AI/ML expertise: Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems. Strong technical & coding skills: Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency. Adversarial mindset: Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks. Collaboration: Strong communication skills, with experience working across engineering, product, and risk teams. Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field. Preferred Qualifications Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security. Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics. Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features. Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake). Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models. Experience with LLMs and AI agents. Experience working in fast-paced technology companies or security-critical environments. Research publications, patents, or open-source contributions in relevant AI fields. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Miami, United States; United States; New York, United States; Boston, United States; Charleston, United States About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. We only admit the top candidates into our talent pool, ensuring they are matched with exclusive, long-term opportunities. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our talent pool. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. About the Role We are looking for a motivated and results-driven Sales Development Representative (SDR) to join our growing sales team. In this role, you will be responsible for generating new business opportunities, engaging with potential clients, and building a strong sales pipeline for the Account Executive team. If you are energetic, persuasive, and thrive in a fast-paced environment, this role is for you. Key Responsibilities Identify and prospect potential clients through outbound channels (cold calls, emails, LinkedIn) Qualify inbound and outbound leads to determine fit and readiness Schedule meetings and demos for Account Executives Maintain accurate records of all activities in the CRM Collaborate with marketing and sales teams to optimize outreach strategies Consistently meet or exceed monthly quotas for meetings and pipeline generation Requirements Must be based in the East Coast (USA) 3+ years of experience in a Sales Development, Business Development, or similar role Proven track record of meeting or exceeding targets Strong communication and interpersonal skills Experience with CRM tools (e.g., Salesforce, HubSpot, or similar) Ability to handle objections and build rapport quickly Self-motivated with a strong work ethic Benefits Competitive base salary + performance-based commission Opportunity to work with global clients Career growth and progression into Account Executive roles Supportive and collaborative team environment

Location: Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative culture that enables us to solve complex challenges and deliver high-quality returns for our investors. Your future role within QRT We are seeking a motivated and versat ile Production Support Engineer to join our Sydney office. This permanent role suits candidates who thrive in fast-paced environments, enjoy supporting multiple technology domains (Trading Tools or Market Access), and are driven by operational excellence and technical innovation. Key Responsibilities Production Support (50%) Provide user and system support across multiple technology streams. Monitor, maintain and troubleshoot production systems, with a focus on data platforms and trading infrastructure. Respond to incidents and service requests, diagnosing issues affecting data flows, trading applications and related systems. Perform daily health checks of trading and data systems before market open. Manage and maintain static and dynamic databases, including resolving data integrity issues. Work with development and business teams to resolve pre-trade issues and implement improvements. Support application releases, including deployment, validation and rollback procedures. Maintain operational documentation and ensure adherence to internal controls and best practices. Participate in root cause analysis and collaborate with global teams to resolve complex incidents. Provide out-of-hours support when required. Development & Automation (50%) Develop automation tools to improve operational workflows. Build scripts and applications for monitoring, alerting, data quality checks and recovery processes. Contribute to initiatives involving cloud platforms, CI/CD pipelines and system optimisation. Required Skills & Experience 3+ years’ experience in technical support, ideally within trading or market access environments. Scripting experience in Python, Bash or PowerShell. Experience with Windows and Linux administration. Strong relational database knowledge (SQL Server, PostgreSQL). Experience supporting trading systems or financial market infrastructure. Strong analytical, problem-solving and communication skills with a strong sense of ownership. Preferred Attributes Interest in supporting diverse technology areas and learning new domains. Ability to work independently and within global teams. Proactive approach to automation and process improvement. Experience with AWS or other cloud platforms. Exposure to crypto assets or crypto markets. QRT is an equal opportunity employer. We value diversity and foster an open, respectful environment that supports collaboration, professional growth and a healthy work-life balance.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.   WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally. RESPONSIBILITIES: - Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations. - Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency. - Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions. - Contribute to the team’s codebase with high-quality, testable, and well-documented code. - Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems. - Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement. - Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 2+ years of experience in backend software development with a strong foundation in computer science principles - Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar). - Experience building and maintaining APIs, integrations, and distributed systems. - Comfortable working with relational databases, data modeling, and query optimization. - Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - Excellent communication skills and ability to work cross-functionally with technical and non-technical teams - Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment - A growth mindset and eagerness to learn from feedback and new challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: USA Workplace: remote Jito builds the Market Layer of Solana, the infrastructure that powers real markets on-chain. We started by building foundational network infrastructure: execution systems, capital markets, and incentive mechanisms that process billions in daily transaction value. Our products (Jito Block Engine, BAM, and JitoSOL) are market leaders and core to how Solana's economy operates. Now we're moving up the stack. You’ll help build JTX, the trading app designed to capture the next generation of on-chain volume — not simply by adding more features or competing on fees, but by creating the platform serious traders genuinely want to use every day. This is a product challenge that goes far beyond shipping functionality. It requires deep attention to speed, trust, feel, workflow, and user obsession at every level of the experience. The hardest part isn’t measuring what traders want — it’s building a product so intuitive and powerful that they choose it instinctively. We're a small, profitable company with product-market fit. That means: High ownership: Every team member drives significant technical decisions and shapes our product roadmap. Fast execution: We ship rapidly and iterate based on real-world feedback. Progress, not motion. Technical excellence: We tackle complex problems with elegant, scalable solutions. Sustainable growth: Strong financials and proven market fit enable us to focus on long-term impact. We offer competitive compensation, significant equity, and the opportunity to work on problems that matter. About the Position We're building JTX, a next-generation trading app that brings the speed, power, and sophistication of Solana’s market infrastructure directly to traders. This is a true 0-to-1 product effort focused on creating an experience that serious on-chain traders actually want to use — fast, intuitive, high-performance, and deeply connected to the mechanics of the market itself. You’ll work alongside the team behind some of the leading infrastructure powering billions in daily transaction value on Solana, translating complex systems and market behavior into a seamless trading experience for users. Whether it’s shaping workflows, refining interfaces, improving execution visibility, or helping define the product from the ground up, this role will have a direct hand in building what trading on Solana looks like next. If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role. What You'll Do Design and build core systems for our new product from scratch Build low-latency, high-reliability services that interact directly with Solana's transaction and block building pipeline Own critical infrastructure: order routing, execution, real-time market data, and position management Implement security at every layer, from transaction signing to user data protection Work closely with the product and infrastructure teams to ship fast and iterate based on real user feedback Make significant architectural decisions as an early member of the team What We're Looking For 5+ years of software engineering experience, with meaningful time spent on distributed systems Strong systems programming skills. Rust preferred, but deep experience in C/C++, Go, or similar is fine Track record building reliable, low-latency systems in production Security-first mindset. You think about attack surfaces, key management, and failure modes before writing code Familiarity with Solana's runtime, transaction lifecycle, and market microstructure (MEV, block building, execution quality) is a strong plus Comfortable operating with high autonomy and incomplete information. This is a 0-to-1 product, not a mature codebase Relevant Background If you have experience in any of the following, you may be a good fit: Trading systems or exchange infrastructure DeFi protocol engineering Fintech backend systems (payments, custody, execution) High-frequency or low-latency systems Security engineering

Location: Tel Aviv, HQ Workplace: OnSite ROLE OVERVIEW As a Data Lead at Wonderful, you'll help shape how we measure, understand and scale our product and business. You'll work across product, operations, and business data - analyzing complex datasets, defining KPIs and building dashboards to drive clear, data-informed decisions. You'll own data processes end-to-end, from raw data and modeling to insights and impact. WHAT YOU'LL DO - Analyze product usage, customer interaction and business data. - Define and track KPIs across product, operations and business domains. - Build dashboards and monitoring tools. - Develop and maintain ETL pipelines and data models (Snowflake, dbt). - Work closely with Product, Operations (GTM), Business and Engineering. WHAT WE'RE LOOKING FOR - 3+ years of experience as Data Analyst. - Strong proficiency in SQL - must. - Strong business sense and ability to translate data into insights. - Ability to work end-to-end, from raw data to business impact. - Experience building ETL pipelines (Snowflake, dbt) - advantage. - Experience building dashboards using BI tools (Looker / Tableau / Omni) - advantage. NICE TO HAVE - Experience with product analytics or customer interaction data. - Experience in a fast-growing startup. - Familiarity with AI-driven products. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Los Angeles, USA At Riot, our Audio Teams are dedicated to creating memorable and enduring sonic experiences for players. Sound is a vital element we use to imbue life into our games, cinematics, esports, albums, and various other projects. We are also continuously focused on elevating our team and techniques through experimentation and engaging with the games we are passionate about. As the Sr. Manager, Audio Direction on an unpublished R&D Product, you will be responsible for building the game’s audio direction and driving the vision through all aspects of audio including Voice, SFX, and Music. You will lean on your years of experience to help build some of the most iconic audio in the world of gaming. Your skills, artistic ear and understanding of audio principles and process will lead the way in audio creation. You will partner with the Creative Director and other craft leads as well as Product Owners, Designers, and Engineers to create globally-appealing content that inspires your team and delights players. You will report directly to the Art Director. Responsibilities: Create audio assets for highly iterative gameplay features using industry-standard methods and tools. Develop audio vision and strategy, ensuring all audio content for the product is delivered. Collaborate with product leadership to align audio around product mission and goals. Clearly define and communicate audio goals including how they align with product goals to direct reports, product leadership and others. Ensure your team has the appropriate process and pipelines in place for effective audio content delivery. Create and execute on a hiring plan to ensure the audio team has the appropriate staff and resources to accomplish product goals. Run weekly reviews, audio playtests, feedback consolidation, to create high-quality audio experiences that players appreciate. Define/manage milestones, schedule, priorities, and work output against audio vision and product goals/direction for multiple teams from pre-production onward. Manage 2-5 audio developers, including other managers/leads for performance and growth, through the use of PDP’s, recurring 1:1’s, and performance reviews. Work with narrative/voice over team to develop consistent quality and output of all in-game and linear voice over content. Use in-house engine tools and Wwise to implement assets directly into the game for characters, features and other systems. Manage outsource partners for quality control and workload overflow. Required Qualifications: 10+ years of industry experience working in game audio (SFX, VO, Music), including designing, mixing, implementing, mastering, and shipping audio 6+ years of professional experience directly working with audio middleware (i.e. Wwise, FMOD, Unreal Audio, etc). 5+ years of professional experience as a Lead Sound Designer 5+ years of proven experience managing and mentoring direct reports in the audio discipline Experience navigating products from prototype through late production and launch in sustainable approach Desired Qualifications: Professional experience working with various game engines from licensed to proprietary (Unity, Unreal, etc.) Expertise working in the holistic game audio process (sound design, voice-over, music, implementation, pipelines, technology, player experience, etc.). Knowledge of programming or scripting languages (Unreal Blueprint, C++, etc.) Strong sense of game design and gameplay Excellent communication, time-management, and organizational skills Comfortable and experienced with JIRA, and Perforce Ability to navigate product stakeholder, studio leadership, discipline and team feedback As a part of the application process, you may be expected to provide a portfolio or demo reel of your work and may be asked to complete an audio test. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.