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Location: Dhahran, Saudi Arabia Key Responsibilities Coordinate between onshore, offshore teams, clients, and subcontractors. Manage personnel mobilization, demobilization, crew changes, and offshore movements. Coordinate travel, accommodation, transportation, permits, and site access. Follow up on visas, medicals, training certificates, and required documentation. Maintain manpower and personnel movement records and reports. Liaise with HR, Logistics, Operations, HSE, clients, and relevant authorities. Resolve day-to-day personnel and logistical issues efficiently. Ensure compliance with client and company requirements. Requirements 5+ years of relevant liaison/coordination experience. Proven offshore and Gas experience is Mandatory , Onshore and Oil & Gas experience also requried . Strong communication, coordination, and follow-up skills. Good knowledge of offshore mobilization and personnel logistics. Proficient in MS Office. Good command of English. BOSIET/H2S and relevant offshore certifications preferred. Mandatory Certificate - IADC certificate

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation. Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers. Responsibilities: Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders. Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value. Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs. Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes. Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration. Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel. Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership. Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning. Required Qualifications: 7+ years of industry experience, including substantial experience building and shipping applied ML products. Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks. Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration. Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics. Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines. Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code. Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers. Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences. Preferred Qualifications: Experience with ads retrieval, ad serving, recommendation, search relevance, or marketplace optimization Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes Experience in ads marketplaces at peer companies Publications, patents, or industry contributions in applied ML or ranking systems Experience with sequential modeling (e.g., RNNs, Transformers) Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Grafana Labs is looking for a Senior Enterprise Account Executive, Acquisition who will be responsible for prospecting and closing new business across the West region. You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Growth team. Ideally, you come from a technical background and have sold technical products before. Responsibilities Meet and exceed individual quarterly and annual sales goals Outbound prospecting into net-new customers Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, and negotiations) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests Requirements 5+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies Familiarity with open source technology is a significant advantage You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Experience using Command of the Message and MEDD(P)ICC is ideal In the US, the OTE compensation range for this role is $260,000 - $300,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Amsterdam; Spain; Poland; Cyprus; United Kingdom; Germany Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We are looking for a Senior Treasury Manager to build and run Finom's treasury function. Finom safeguards a significant book of customer funds across its regulated entities. Net interest income on that book is a meaningful revenue line, and it will grow. Today the function is up and running: the money is placed, the investment policy is in place, and a large part of the book sits with an external asset manager. What we are building now is the machinery around it — an evidenced limit framework, look-through into what our managers actually hold, automated investment accounting, and a reconciled NII number we can defend to an auditor and a regulator. That is the job. You will take part in building it, and you will run it while it is being built. This is a hands-on role at the intersection of regulation, liquidity, and commercial impact — not a back-office position. It suits someone who has done this before in a regulated environment and wants to do it again without four layers of committee above them. What you'll own Liquidity and funding Daily liquidity positioning and float management across entities and accounts Intraday funding of payment channels; nostro and correspondent account management Collateral and minimum-balance obligations across card schemes, T2, and credit providers Contingency funding — the playbook for the day we need €20m by tomorrow morning A daily treasury balance sheet — net liquidity and net capital available — that reconciles Safeguarding and portfolio Portfolio management of safeguarded client funds: term deposits, MMFs, short-dated debt, held directly and via external managers Safeguarding adequacy: shortfall detection, top-up execution, same-currency discipline Instrument eligibility screening under CRR risk-weight, maturity and WAL constraints, and UCITS/MMF rules Independent, evidenced validation that externally managed allocations sit inside mandate — position-level look-through, daily monitoring of concentration, maturity, WAL and credit quality, breach escalation NII forecasting, attribution, and reconciled performance reporting; treasury inputs into the financial model and company forecast Governance and controls Ownership of the investment policy, limit framework, and eligible-instrument register Treasury governance: decision pack, agenda, decision log, and delegated-authority register Pre-deal checks and post-trade evidencing, designed so that the first line executes and the second line challenges Covenant tracking across credit facilities Regulator, external audit, and second-line engagement on treasury and safeguarding matters Systems and data Selection and implementation of investment accounting and treasury tooling — a Clearwater/Advent-class implementation is already in flight and will be yours Custodian, asset-manager and bank data feeds; API connectivity where it exists and pragmatic alternatives where it doesn't Replacing manual spreadsheet processes with something that survives your holiday Commercial Bank, custodian, broker and asset-manager relationships: onboarding, commercial terms, mandate setting, service review Challenging our managers on allocation, transparency and fees — and changing them if the answers are weak What good looks like in the first 12 months Investment policy and limit framework live, with treasury governance running on a documented decision log Daily, evidenced mandate compliance across the full book — we can answer "are we inside the boundaries?" in minutes, not weeks Investment accounting platform implemented; monthly close on the portfolio no longer manual An NII number that is reconciled, attributed, and forecastable A contingency liquidity playbook that has been tested rather than written Who you are 5+ years in treasury, ALM, fixed income, or portfolio management at a regulated financial institution, EMI/PI, or asset manager Direct experience with client money or safeguarding under PSD2 / EMD — core to this role, not adjacent to it Experience building or materially rebuilding a treasury function, not only operating inside an established one Strong command of bond math, yield and duration, MMF mechanics, and credit and concentration risk at instrument level Track record of automating manual treasury processes and implementing treasury or investment accounting systems Comfortable working with position-level data directly — you can interrogate a portfolio file rather than wait for a report Experience with regulators, external audit, and external asset managers (mandate setting, IMA terms, performance challenge) Sound judgement under time pressure in a lean environment with real accountability and limited cover Strong Excel skills Fluent English Nice to have Familiarity with IFRS 9 or Dutch GAAP (RJ 290) financial instrument accounting SQL or Python Experience in a firm transitioning toward a banking licence Experience using AI tools (e.g. LLMs, copilots) to accelerate analytical and reporting workflows What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Baku, Azerbaijan Senior Petroleum Engineer Location : Baku, Azerbaijan Type : Full-time About eiGroup At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage. We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales. Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation. Our ventures are built in-house, born from research, and grown into independent companies. Together, we’re shaping how innovation takes root in this region - and how it reaches the world. What You’ll Do Domain-Driven Technical Leadership Lead the petroleum engineering input into the development of digital tools focused on production optimization, deferral management, anomaly detection, and workflow automation. Periodically review well stock performance using in-house tools and generate validated opportunity lists and deferral cases. Subsurface–Surface Integration Connect reservoir, well, and production system insights to reduce noise and ensure realistic, feasible recommendations. Provide holistic evaluations across subsurface, wellbore, and surface systems. Well & System Modelling Oversee or implement building, calibration, and validation of well and system models (natural flow, gas lift, ESP, and other artificial lift systems) in common software (IPM Suite, etc.) Provide procedural assurance or contribute to the development of the process to ensure integrity of input data (well tests, PVT, constraints) and quality of model outputs. Use model-derived insights to identify optimization opportunities and support forecasting and prediction workflows. Production Engineering Expertise Analyze performance of oil and gas producer wells, especially natural and gas-lifted wells. Diagnose flow assurance challenges (wax, asphaltenes, slugging, hydrates, sand) and recommend short- and long-term mitigation strategies. Guide the team on well performance indicators and opportunity identification frameworks. Digital Product Co-Creation Translate business pain points into clear technical requirements and actionable tasks for data science and development teams. Scope solutions with clients, define acceptance criteria, and oversee domain implementation during development. Ensure technical quality of delivered digital features and workflows. Client & Stakeholder Engagement Work closely with client production teams to validate opportunities, refine requirements, and ensure alignment. Prepare clear technical reports, quick analyses, and presentations for both technical and managerial audiences. Future Product Vision & Scaling Contribute to the long-term roadmap for digital production engineering products and scalable platforms. Identify new business opportunities and support management in expanding service lines and client relationships. Team Contribution & Mentorship Provide technical mentoring to junior petroleum/domain engineers within the team. Support creation of best practices, guidelines, and domain standards for internal use. Agile & Collaborative Delivery Work within an agile environment—participating in sprint planning, backlog refinement, and iterative delivery. Collaborate closely with multidisciplinary teams (data science, development, QA) in fast-moving project cycles. Technical Tools & Digital Fluency Prepare rapid technical reports, PowerPoints, and decision-support materials. Ideally have exposure to databases, basic programming (Python, SQL), or digital engineering tools. Maintain strong English communication and presentation capabilities. What You Bring Technical & Domain Expertise Bachelor’s or Master’s degree in Petroleum Engineering, Reservoir Engineering, or related engineering discipline. 5+ years of experience in production/reservoir engineering roles within oil & gas operating companies or service/digital solution providers. Strong experience with oil and gas producer wells, including natural flow, gas lift, and basic familiarity with ESP and other artificial lift systems. Hands-on experience with well and system modelling (e.g., Prosper, GAP, MBAL or equivalent tools), including model building, calibration, and validation. Solid understanding of reservoir–well–surface system interactions and ability to integrate subsurface and surface data into optimization work. Proven proficiency in diagnosing flow assurance issues (wax, asphaltenes, slugging, hydrates, etc.) and recommending mitigation strategies. Strong command of well performance indicators, opportunity identification techniques, and production optimization workflows. Digital & Analytical Skills Experience collaborating in digital development projects, particularly using domain knowledge to shape requirements and validate outputs. Ability to break down complex engineering challenges into structured, actionable components for data science and software development teams. Prior exposure to databases, dataflows, or basic programming/scripting (Python, SQL, MATLAB, or similar) is a strong advantage. Experience working with data-driven tools, dashboards, or digital workflows is a plus. Communication & Stakeholder Management Strong skills in capturing business pain points, defining technical scopes, and aligning requirements with client stakeholders. Fluent English (written and spoken) with strong professional communication skills. Confident presenter able to prepare and deliver clear reports, slides, client materials, and technical justifications. Leadership, Collaboration & Agility Experience working in high-paced, agile development or multidisciplinary environments (sprints, iterative delivery, backlog grooming). Ability to plan and manage short-, mid-, and long-term objectives in parallel. Demonstrated capability to mentor junior engineers and contribute to team growth. Proactive, dynamic mindset with a drive to push projects, ideas, and teams forward. Nice-to-Have Previous experience in consultancy, digital product development, or technical project leadership within the petroleum engineering domain. Familiarity with cloud-based platforms, production data systems, and integrated digital environments. Experience supporting business development, proposal preparation, or identifying new value-creation opportunities. Our benefits include: Medical insurance (family coverage) Flexible working hours “Push 30” wellness program - company-covered Childcare support Company-provided lunch

Location: Bucharest, Romania Workplace: hybrid WELCOME TO OLX We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. In Romania, we are 100+ people working for OLX.ro, Storia.ro, and Autovit.ro—both from home and our cozy office in the center of Bucharest. Autovit.ro is the market leader of the auto classifieds industry, connecting drivers to the cars that will take them where they need and want to be. As a Key Account Manager for Autovit.ro you will be at the forefront of the number 1 Car Sales platform in Romania, empowering our users and prospects with the best solutions to reach their clients, at OLX Group Romania. Join OLX and see how far you can go. What responsibilities will you get when working with us? Cover the southern area of Romania, focused on Bucharest and Ilfov, as well as the surrounding counties; Contacting potential or existing customers to advise them about growing their businesses with the help of our services; Answering questions about the products/ services or the company; Asking questions to understand customer requirements and close sales; Enter and update customer information in the CRM; Accurately take and process orders; Keep records of calls and sales and note useful information. What will you need to be successful in this role? Have proven experience in Direct B2B Sales. Auto industry experience will be a plus, but not mandatory; Possess the ability to learn about products and services and describe/explain them to prospects; Show excellent communication and interpersonal skills; Act cool-tempered and able to handle rejection; Have outstanding negotiation skills with the ability to resolve issues and address complaints; Have good knowledge of relevant computer software (e.g. CRMs); Good command of English. What can we offer you? The opportunity to be a part of an international group, working for the market leader in sales ads; Prosperous package of benefits (commissions, bonus, health insurance, flexibility of benefits); Possibility to work in a hybrid mode; A dynamic and friendly work environment where doing your job with pleasure and enjoying the journey is much more important than rules and hierarchy; We invest in your professional development and you will have the opportunity to be in contact with professionals from all over the world; Being able to make your own smart choices. Diversity, Equity, and Inclusion at OLX   We would still encourage you to apply if you still need to meet every requirement for this role. At OLX, we are committed to creating a high-performing, diverse, inclusive, and authentic workplace. We know that we get the best results when we have the broadest range of knowledge, backgrounds, and experiences in our team, and we believe you are at your best when you can bring your whole self to work.   So, if you are excited about this role, but your past experiences align differently with every criterion asked for in the job description, we would still like you to apply. We strongly encourage people of all races, ethnicities, disabilities, ages, gender identities or expressions, sexual orientations, backgrounds, and experiences to consider applying for this role. You may be the right candidate for this or other roles in our business, and we would like to hear from you. We will strive to accommodate all necessary adjustments to support your interview success - please speak to your recruiter about any of these requirements.   OLX (OLX consists of OLX Global B.V. and its affiliated companies) will handle your data with care and will process your data to assess your fit for the position you are applying for. You can give your consent (optional) to allow us to store your data for up to 12 months after the application process. So that in case you are not fit for the role at stake, we can consider you for other suitable roles. Please refer to our Privacy Statement to find out more about how your application data will be processed.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong (Onsite) Type: Full Time The Role We’re looking for a QA Engineer who loves games, sweats the details, and enjoys learning new technology. Motion-based QA is different from traditional game QA: you’ll test with your whole body in real-world environments (lighting, room sizes, player heights, 1–4 players, etc.). Prior motion-gaming experience is not required —strong QA fundamentals and a learning mindset are. What You'll Do Create and execute test plans and test cases for motion-based games and the Nex Playground experience. Validate core player experience for living-room play: onboarding, clarity, responsiveness, and “is this fun and understandable?” Test motion-game fundamentals such as responsiveness/latency, recognition consistency, occlusion handling, and edge cases. Perform functional, usability, regression, localization, and device/compatibility testing across the product surface area. Write excellent bug reports with clear repro steps, expected vs. actual results, environment details, and short video captures when helpful. Collaborate cross-functionally: clarify requirements, ask good questions, and flag risk areas early. What We're Looking For 1–2 years of experience in IT or the game industry (or equivalent hands-on experience). Strong understanding of QA methodologies, tools, and processes. Excellent analytical and problem-solving skills. Strong attention to detail and a commitment to quality. Good communication and teamwork skills. Ability to work independently and manage multiple tasks simultaneously. Good command of written and spoken English. Hands-on comfort with hardware and TV setups, including basic troubleshooting (network, setup flows, updates) Willingness to perform physical movements during testing and appear in internal test recordings. A genuine interest in games and player experience—especially party/family-friendly titles. Nice to Have Cantonese and/or Mandarin fluency Experience testing camera-based, motion, AR, or computer vision products. Experience testing multiplayer/local co-op or party games. Familiarity with Unity, Android-based hardware, or mobile gaming. Experience setting up consumer electronics (TVs, consoles, streaming devices). Experience with test automation or scripting (even small personal projects). We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Overview As a Senior Mobile Engineer, you'll contribute to a multi-platform app built on Kotlin Multiplatform, shipping features across Android, iOS, and additional targets from a shared codebase. You'll own complex work end-to-end, write code that sets the quality bar for the team, and help shape architecture decisions in a fast-moving product environment. Our engineering strategy centers on KMP and Compose Multiplatform to deliver high-quality, consistent experiences across platforms — and the engineers who build it are expected to help keep that bar high. Responsibilities Build and ship production-quality features across Android and shared KMP layers, taking ownership from design through deployment with minimal oversight Implement features across core product domains — connecting Compose Multiplatform UI to shared business logic through clean MVI state management Contribute to a layered, multi-module architecture, respecting module boundaries and shared platform contracts Partner with shared platform teams to implement against declared interfaces, keeping app-specific logic cleanly separated from shared platform concerns Collaborate with product, design, and QA to deliver reliable, pixel-accurate experiences across multiple platform targets Write testable, well-structured Kotlin leveraging coroutines, flows, KSP-based codegen, and dependency injection patterns consistent with the team's standards Conduct thorough code reviews, maintaining module boundary discipline and build system conventions Participate in the on-call rotation, helping diagnose and resolve issues across platforms Mentor junior engineers and contribute to a culture of continuous learning on the team Experience and Skills 5+ years of experience building scalable, consumer-facing Android applications with strong command of MVI architecture Strong Kotlin proficiency — coroutines, flows, idioms, and best practices — with the ability to apply and share these effectively across the team Experience with Kotlin Multiplatform — comfortable developing and scaling shared business logic in a multi-module KMP codebase Hands-on experience with Compose or Compose Multiplatform, building design-system-compliant UI across platform targets Proficiency in Gradle multi-module projects, including convention plugins and dependency management Experience with CI/CD pipelines and automated mobile testing practices Comfortable working across shared platform and library boundaries — implementing against declared interfaces without leaking platform-specific logic into shared modules Clear communicator able to articulate technical decisions to peers, product, and design stakeholders Agile/SCRUM experience with a track record of consistent, quality delivery Team-first mentality with a drive to raise the bar continuously Bonus Compose Multiplatform experience across Android, iOS, desktop, and wasm targets Experience with KSP-based codegen and Koin or similar DI in a KMP environment Familiarity with feature flag systems and mobile observability tooling Experience with backend services, distributed systems and event-driven architectures Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-Remote #LI-AL1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $152,000 — $200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: ES - Barcelona, Spain Scopely is looking for a Technical Project Manager to join our Global team in Barcelona on a flexible hybrid basis! At Scopely, we care deeply about what we do and want to inspire play every day—whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers developing, publishing and innovating within the mobile games industry, connecting millions of people around the world every day. The team works across Scopely’s portfolio to support data-informed decision-making, operational effectiveness and the delivery of scalable technical solutions. It collaborates closely with Product, Engineering, Analytics, and Revenue Operations to ensure that initiatives are clearly defined, thoroughly tested and successfully delivered into live environments. The Technical Project Manager will drive technical and data-related initiatives, manage cross-functional communication and ensure smooth execution across multiple stakeholders. This role partners closely with game teams, internal technology teams and external partners to deliver high-quality solutions, improve processes and strengthen measurement and reporting capabilities across the organisation. What You’ll Do Drive the end-to-end execution of technical data-related projects. Act as the central point of coordination between stakeholders to ensure alignment and timely delivery. Manage project timelines, risks and dependencies, proactively identifying issues and implementing mitigation plans. Communicate project status, risks, insights and opportunities clearly to leadership and cross-functional teams. Own and maintain clear, structured documentation relating to technical processes, data flows, reporting requirements and best practices using tools such as Jira and Confluence. Translate technical or analytical updates into clear, actionable guidance for relevant stakeholders. Build strong relationships across Analytics, Product, Engineering, and Revenue Operations to improve workflows and execution. Coordinate the implementation and maintenance of measurement, tracking and reporting processes across relevant products and platforms. Support data quality, governance and compliance activities by helping to identify inconsistencies, monitor issues and coordinate resolutions. Contribute to the reporting and analysis of performance trends to support continuous improvement and informed decision-making. What We’re Looking For 5+ years of experience in technical project management or a related field. Excellent communication, organisation and stakeholder management skills. Ability to manage multiple priorities in a fast-paced environment, with strong attention to detail. Experience working with software development, data or analytics teams and managing projects. Comfortable working with technical and analytical concepts and translating them for a range of audiences. Experience in mobile gaming, digital products, marketing analytics, monetisation or revenue operations is a plus. Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: București, Romania Workplace: none EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people . With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a dedicated Junior Tax Analyst to join our team in Bucharest, Romania! About the job: You will have exposure to a wide range of international tax matters. The opportunity to work with experienced tax professionals in a multinational environment with hands-on experience across multiple jurisdictions. A supportive environment focused on learning, development, and career growth. The possibility to progress into a more senior tax role as experience and responsibilities grow. What You'll get to do: Assist with the preparation and coordination of tax compliance obligations for group entities. Support the collection, review, and organization of information required for tax filings and reporting. Liaise with tax authorities and assist with administrative aspects of tax correspondence and inquiries. Collaborate with internal stakeholders, including Finance, Legal, Treasury, and external advisors. Maintain tax records, documentation, and compliance trackers. Assist with tax registrations, compliance monitoring, and other tax-related administrative matters. Provide general administrative support to the Group Tax team. Support senior team members with day-to-day tax projects, research, reconciliations, and compliance activities. Assist in the improvement and maintenance of tax processes, procedures, and internal controls. What we’re looking for: Bachelor’s / Master’s degree (Accounting, Economics, Finance, Statistics, Mathematics or related fields). Recent graduate (Internship 3 months) or candidate with up to 1-2 years of work experience (Junior). Previous internship, volunteering, or work experience in accounting, taxation or finance is considered an asset. Strong command of English, both written and spoken. Interest in taxation, tax compliance, and international business. Good working knowledge of Microsoft Office applications, particularly Excel, Word, Outlook, and internet-based research tools. Strong attention to detail and organizational skills. Proactive attitude and willingness to learn. Ability to manage multiple tasks and meet deadlines. Here's what we offer: Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year. Benefit from two Free Fridays each year, limited to one per quarter. 3 sick leave days per year, no doctor's note required. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. Access to an Employee Assistance Program through TELUS Health. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and European Lotteries Association. In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

Location: Béthune, Pas-de-Calais, France 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’re looking for an L2  IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters. You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance. Your responsibilities will include Solve hardware related issues with servers, involving in-depth advanced level troubleshooting Report to hardware problem management, execute workarounds and solutions Solve proactively L1/L2 tasks through ticket system Update new processes and documentation for IT hardware team Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics Improve support processes, documentation and training materials Basic level of network tasks, troubleshooting and support Requirements Knowledge of datacenters, and server equipment Advanced knowledge of IT hardware and practical experience of troubleshooting Advanced skills working with the Unix/Linux operating system and command line Experience with equipment monitoring, data analysis and presentation Proactiveness and sense of responsibility High proficiency in spoken and written English It will be a bonus if you have Knowledge of network equipment and troubleshooting in advanced level Driving license type B 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: Munich, Germany Our client is a European HR software company that is expanding rapidly in Germany, 𝐚𝐧𝐝 they 𝐰𝐚𝐧𝐭 𝐲𝐨𝐮 𝐭𝐨 𝐠𝐫𝐨𝐰 𝐰𝐢𝐭𝐡 them. Their mission is simple: they design intuitive solutions that automate HR and administrative processes, giving thousands of companies across Europe more time and energy for what really matters : their people and their business. With 800+ experts based in Germany, France, Spain and Switzerland, and 8,700 clients across 𝟏𝟒𝟎+ 𝐜𝐨𝐮𝐧𝐭𝐫𝐢𝐞𝐬, they’re building on a strong foundation while accelerating their international footprint, driving forward with an 𝐚𝐯𝐞𝐫𝐚𝐠𝐞 𝐚𝐧𝐧𝐮𝐚𝐥 𝐠𝐫𝐨𝐰𝐭𝐡 𝐨𝐟 𝟒𝟎%. Your role In order to continue their expansion in this market, they are looking for a Senior HRIS Customer Success Consultant to join our growing team in Germany. Your missions will evolve as you acquire seniority, but here are the main tasks you will do on a daily basis: 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐨𝐧𝐛𝐨𝐚𝐫𝐝𝐢𝐧𝐠 (𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧) - Roll out the solutions for a wide variety of customers in often complex and high-stakes environments (SME as well as Large Accounts). - Gain the trust of local companies in Germany as well as key accounts and their subsidiaries abroad. - Gather the customer's initial needs and suggest an appropriate response. - Adapt the software to the customer’s local context in Germany. - Train the administrators to use the software in total autonomy. - Ensure the Go-live and the follow-up during the first weeks of use. - Demonstrate flexibility and agility throughout the implementation in the event of unforeseen circumstances and technical challenges. 𝐅𝐨𝐥𝐥𝐨𝐰-𝐮𝐩 𝐨𝐟 𝐊𝐞𝐲 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 (𝐬𝐮𝐩𝐩𝐨𝐫𝐭, 𝐚𝐜𝐜𝐨𝐮𝐧𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭) - Keep a close eye on the satisfaction of your most important customers. - Support these customers in case of level 2 issues. - Carry out post-implementation check-ups. - Identify and generate new cross sell or upsell opportunities to grow the company's reach to your German customers (lead generation). - Be proactive in presenting new products that may address a customer's past issues. 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐭𝐨 𝐭𝐡𝐞 𝐥𝐨𝐜𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐂𝐒 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐢𝐧 the company - Adapt their offer and strengthen the market-fit of their solutions for the German market. - Contribute to the continuous improvement of the business in Germany by going beyond your main tasks. - Follow and participate in some projects from the pre-sales phase, supporting the sales team. Requirements Sounds a bit like you, doesn't it? You’re the right fit if you: ❏ You have prior experience in a project management role (at least 4-5 years). ❏ You have a Tech / SaaS affinity. You have successfully led end-to-end software implementation projects, coordinating internal teams and client stakeholders across all phases. ❏ You don’t need prior HR knowledge, but it would be a plus. ❏ A willingness to be a key player in this adventure, contributing to the German market's growth. ❏ Looking for a dynamic work environment with varied missions requiring versatility and organization. ❏ Comfortable and eager to work with both local businesses and key accounts (C-Level). ❏ You speak German at a native level and you have a strong command of English. ❏ Clear and structured oral and written communication. ❏ Taste for human contact and pedagogy. ❏ An aptitude for solving practical and sometimes technical problems. ❏ A sense of service and a taste for things well done. And now, their recruitment process (in German and in English): 𝐒𝐭𝐞𝐩 𝟏: Screening interview with HR (30') 𝐒𝐭𝐞𝐩 𝟐: Interview with the Customer Success Manager (60') 𝐒𝐭𝐞𝐩 𝟑: Case study + quick chat with team members 𝐒𝐭𝐞𝐩 𝟒: Final Talk (45'): meet more of the team and see what the company is all about Benefits 🚆 Deutschlandticket – 75% of your subscription covered. 🏋️‍♀️ Wellpass subscription – discounted access to sports, fitness and activities you actually enjoy. 🐾 Their office is pet-friendly ! Feel free to bring your furry friends to work. 🏠 Remote-friendly work policy – remote work possible after onboarding, either occasional or hybrid. To make working from home comfortable, the company provides the right equipment. Their 𝐜𝐮𝐥𝐭𝐮𝐫𝐞 At our client's company, they have just one rule: work seriously, but don’t take yourself too seriously. They value transparency, autonomy, high standards, and a free spirit so everyone can give their best while staying true to themselves. And because work should also be fun, their year is full of events: several company seminars, a team-building activity per team, a start-up weekend, a welcome drink every month for new hires, and introductory lunches for newcomers. They love coming together, sharing, and celebrating… So, are you ready to join them?

Location: Munich, Germany Our client is a European HR software company that is expanding rapidly in Germany, 𝐚𝐧𝐝 they 𝐰𝐚𝐧𝐭 𝐲𝐨𝐮 𝐭𝐨 𝐠𝐫𝐨𝐰 𝐰𝐢𝐭𝐡 them. Their mission is simple: they design intuitive solutions that automate HR and administrative processes, giving thousands of companies across Europe more time and energy for what really matters : their people and their business. With 800+ experts based in Germany, France, Spain and Switzerland, and 8,700 clients across 𝟏𝟒𝟎+ 𝐜𝐨𝐮𝐧𝐭𝐫𝐢𝐞𝐬, they’re building on a strong foundation while accelerating their international footprint, driving forward with an 𝐚𝐯𝐞𝐫𝐚𝐠𝐞 𝐚𝐧𝐧𝐮𝐚𝐥 𝐠𝐫𝐨𝐰𝐭𝐡 𝐨𝐟 𝟒𝟎%. Your role In order to continue their expansion in this market, they are looking for an HRIS Customer Success Consultant to join their growing team in Germany. Your missions will evolve as you acquire seniority, but here are the main tasks you will do on a daily basis: 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐨𝐧𝐛𝐨𝐚𝐫𝐝𝐢𝐧𝐠 (𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐢𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧): - Roll out our solutions for a wide variety of customers in often complex and high-stakes environments (SME as well as Large Accounts). - Gain the trust of local companies in Germany as well as key accounts and their subsidiaries abroad. - Gather the customer's initial needs and suggest an appropriate response. - Adapt the software to the customer’s local context in Germany. - Train the administrators to use the software in total autonomy. - Ensure the Go-live and the follow-up during the first weeks of use. - Demonstrate flexibility and agility throughout the implementation in the event of unforeseen circumstances and technical challenges. 𝐅𝐨𝐥𝐥𝐨𝐰-𝐮𝐩 𝐨𝐟 𝐊𝐞𝐲 𝐀𝐜𝐜𝐨𝐮𝐧𝐭𝐬 (𝐬𝐮𝐩𝐩𝐨𝐫𝐭, 𝐚𝐜𝐜𝐨𝐮𝐧𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭): - Keep a close eye on the satisfaction of your most important customers. - Support these customers in case of level 2 issues. - Carry out post-implementation check-ups. - Identify and generate new cross sell or upsell opportunities to grow the company's reach to your German customers (lead generation). - Be proactive in presenting new products that may address a customer's past issues. 𝐂𝐨𝐧𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐭𝐨 𝐭𝐡𝐞 𝐥𝐨𝐜𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐢𝐦𝐩𝐫𝐨𝐯𝐞𝐦𝐞𝐧𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐂𝐒 𝐚𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐢𝐧 the company ? - Adapt the offer and strengthen the market-fit of their solutions for the German market. - Contribute to the continuous improvement of the business in Germany by going beyond your main tasks. - Follow and participate in some projects from the pre-sales phase, supporting the sales team. Requirements Sounds a bit like you, doesn't it? You’re the right fit if you: ❏ You have prior experience in a project management role (at least 2-3 years). ❏ You have a Tech / SaaS affinity. You are experienced in implementing softwares. ❏ You don’t need prior HR knowledge, but it would be a plus. ❏ A willingness to be a key player in this adventure, contributing to the German market's growth. ❏ Looking for a dynamic work environment with varied missions requiring versatility and organization. ❏ Comfortable and eager to work with both local businesses and key accounts (C-Level). ❏ You speak German at a native level and you have a strong command of English. ❏ Clear and structured oral and written communication. ❏ Taste for human contact and pedagogy. ❏ An aptitude for solving practical and sometimes technical problems. ❏ A sense of service and a taste for things well done. And now, their recruitment process (in German and in English): 𝐒𝐭𝐞𝐩 𝟏: Screening interview with HR (30') 𝐒𝐭𝐞𝐩 𝟐: Interview with the Customer Success Manager (60') 𝐒𝐭𝐞𝐩 𝟑: Case study + quick chat with team members 𝐒𝐭𝐞𝐩 𝟒: Final Talk (45'): meet more of the team and see what the company is all about Benefits 🚆 Deutschlandticket – 75% of your subscription covered. 🏋️‍♀️ Wellpass subscription – discounted access to sports, fitness and activities you actually enjoy. 🐾 Their office is pet-friendly ! Feel free to bring your furry friends to work. 🏠 Remote-friendly work policy – remote work possible after onboarding, either occasional or hybrid. To make working from home comfortable, the company provides the right equipment. Their 𝐜𝐮𝐥𝐭𝐮𝐫𝐞 At our client's company, they have just one rule: work seriously, but don’t take yourself too seriously. They value transparency, autonomy, high standards, and a free spirit so everyone can give their best while staying true to themselves. And because work should also be fun, their year is full of events: several company seminars, a team-building activity per team, a start-up weekend, a welcome drink every month for new hires, and introductory lunches for newcomers. They love coming together, sharing, and celebrating… So, are you ready to join them?

Location: South Africa; Colombia; United Kingdom; Spain; Mexico; Argentina About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for an aggressive, highly analytical Senior Growth Marketer / Media Buying Specialist to take ownership of Google and Meta advertising campaigns. Our primary objective is simple: generate qualified inbound calls and leads profitably. This is not an account-maintenance or monthly-reporting role. We want someone who treats every account as if their own money is being spent. You will work directly with leadership to launch campaigns, analyse performance, cut wasted spend, identify overlooked opportunities, test new angles, and aggressively scale profitable campaigns. Key Responsibilities Build, manage, optimize, and scale high-intent Google Ads campaigns, with Meta Ads as a secondary channel Develop campaigns specifically designed to generate qualified inbound phone calls and leads Analyse campaign performance quickly and identify winning and losing campaigns, keywords, audiences, ads, and landing pages Aggressively cut wasted spend and reallocate budget toward profitable opportunities Identify new customer-intent angles, search opportunities, audiences, and campaign structures competitors may be missing Continuously test new messaging, offers, targeting, keywords, creative, and landing-page approaches using direct-response principles Optimize campaigns against CPA, CPL, conversion rate, lead quality, and overall acquisition economics Monitor search-term data, conversion tracking, attribution, call tracking, and landing-page performance Launch new campaigns and work directly alongside leadership to expand into new markets and industries Take increasing ownership of advertising spend, with a target of managing at least $100k/month in Google Ads spend within 90 days Make fast, data-backed decisions rather than waiting for lengthy reporting cycles Requirements Proven track record in Direct Response marketing with a deep understanding of customer desire, intent, and buying behaviour Advanced / expert-level Google Ads expertise Strong Meta Ads experience Proven experience generating leads and/or inbound phone calls through paid advertising Demonstrable experience optimizing campaigns against commercial performance metrics such as CPA, CPL, ROAS, conversion rate, and lead quality Highly analytical mindset with the ability to turn campaign data into immediate, actionable decisions Experience launching campaigns from scratch, diagnosing poor performance, cutting losers, and scaling winners Experience managing meaningful advertising budgets; $50k–$100k+ monthly Google Ads spend is strongly preferred Strong understanding of conversion tracking, attribution, call tracking, search-term analysis, budget allocation, A/B testing, and landing-page performance A no-nonsense, high-accountability attitude. You care about performance more than process or corporate bureaucracy Fast, decisive, competitive, hands-on, and comfortable operating with significant autonomy Low-ego and highly coachable, with the ability to receive direct constructive feedback without becoming defensive Exceptional command of written and spoken English Availability to work strictly 9-5 CST Nice-to-Haves Experience with home-service lead generation, particularly: HVAC Plumbing Roofing Electrical Solar Restoration Pest control Landscaping Remodeling Experience in other high-intent lead-generation verticals such as legal, insurance, financial services, healthcare, automotive, or real estate Previous experience working in a high-performance digital marketing or growth agency Experience with pay-per-call campaigns Experience managing $100k+/month in Google Ads spend Proficiency with Slack Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: San Francisco; New York City Workplace: Hybrid Perplexity is looking for a commercially minded attorney to join our Legal team. In this role, you’ll own the full commercial legal lifecycle. You will draft, negotiate, and close a wide range of agreements across partnerships, procurement, infrastructure, and licensing. You will build scalable legal infrastructure and enable the business to move quickly without unacceptable risk. You’ll work closely with teams across the business, including product, engineering, security, finance, and sales to close deals, strengthen our data security and compliance posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating a wide range of commercial technology agreements, including infrastructure and compute procurement agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently. This is a high-impact, hands-on role for someone who thrives in fast-paced environments, knows how to be a true partner to the business without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world. Responsibilities - Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements. - Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk Management. - Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales. - Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR). - Build and maintain scalable legal infrastructure—contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows)—to support high-volume deal flow and reduce friction in the contracting cycle. - Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements. - Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders. Qualifications - JD and in good standing with an active U.S. state bar membership. - At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements. - Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams. - Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements. - Prior experience with infrastructure agreements is strongly preferred, including compute procurement (e.g., GPU capacity and cloud/neocloud agreements, colocation, and related SLA and acceptance terms). - Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers. - Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization. - Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work. - Comfortable working in a fast-paced, dynamic environment. Title and Pay dependent on YOE (Counsel or Senior Counsel)

Location: San Francisco; New York City Workplace: Hybrid Perplexity is looking for a commercially minded attorney to join our Legal team. In this role, you’ll own the full commercial legal lifecycle. You will draft, negotiate, and close a wide range of agreements across partnerships, procurement, infrastructure, and licensing. You will build scalable legal infrastructure and enable the business to move quickly without unacceptable risk. You’ll work closely with teams across the business, including product, engineering, security, finance, and sales to close deals, strengthen our data security and compliance posture, and serve as a trusted advisor on the AI-specific legal questions that come with operating at the frontier of this technology. The ideal candidate brings deep experience negotiating a wide range of commercial technology agreements, including infrastructure and compute procurement agreements, a strong command of data privacy and security frameworks, and the practical judgment to make principled risk calls independently. This is a high-impact, hands-on role for someone who thrives in fast-paced environments, knows how to be a true partner to the business without being a bottleneck, and is excited to help build a best-in-class legal function at one of the most consequential AI companies in the world. Responsibilities - Lead end-to-end drafting, review, and negotiation of commercial agreements, including MSAs, SaaS and API agreements, DPAs, partnership and reseller agreements, strategic collaboration and co-marketing agreements, procurement and vendor contracts, technology and infrastructure agreements, and IP licensing arrangements. - Serve as a primary legal partner across the business, providing fast, practical, and business-aligned counsel that accelerates deal velocity without compromising on risk Management. - Provide strategic counsel on legal risks across AI infrastructure, compute, partnerships, and enterprise deployments as the company scales. - Advise on AI-specific legal considerations in commercial agreements, including acceptable use, data retention and training restrictions, output liability, and evolving regulatory requirements (e.g., EU AI Act, CCPA/CPRA, GDPR). - Build and maintain scalable legal infrastructure—contract templates, negotiation playbooks, fallback positions, and tools (e.g., CLM, self-serve workflows)—to support high-volume deal flow and reduce friction in the contracting cycle. - Partner cross-functionally with Product, Engineering, Security, Finance, and Compliance teams to surface and address legal risk early, particularly on data use, enterprise integrations, and customer-specific compliance requirements. - Monitor the evolving regulatory landscape for enterprise AI and SaaS products and translate emerging requirements into practical contractual and policy guidance for internal stakeholders. Qualifications - JD and in good standing with an active U.S. state bar membership. - At least 5+ years of law firm and/or in-house experience, with a track record of drafting and negotiating complex commercial technology agreements. - Strong business acumen and ability to partner effectively with sales, product, engineering, and executive teams. - Deep familiarity with data privacy and security frameworks (GDPR, CCPA/CPRA, SOC 2, HIPAA) and experience negotiating DPAs and related compliance agreements. - Prior experience with infrastructure agreements is strongly preferred, including compute procurement (e.g., GPU capacity and cloud/neocloud agreements, colocation, and related SLA and acceptance terms). - Ability to communicate clearly with business and technical audiences and effectively translate legal concepts for non-lawyers. - Hands-on attitude to tackle projects large and small, low-ego approach to working across the organization. - Positive collaborative attitude, comfort with ambiguity and a fast pace, high level of integrity, and intellectual curiosity about AI technology and how these products work. - Comfortable working in a fast-paced, dynamic environment. Title and Pay dependent on YOE (Counsel or Senior Counsel)

Location: Riyadh Workplace: remote We are looking for AI Business Conversation Analysts to support the development and improvement of AI models in Saudi Arabic (Jizan). Job Type: Freelance Location: Work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work whenever you want. Start Date: Immediately Duration: TBC Rate: 15 USD/Hour Help Shape the Future of AI Are you a business professional, analyst, researcher, finance professional, or someone with a strong analytical background and excellent writing skills? Are you interested in helping shape the development of today’s AI models? What You’ll Do Review a scenario and identify the information or outcome to be explored. Have a written 10–15-turn conversation with AI, progressively developing the topic. Work on topics such as financial analysis, business reporting, research/policy evaluation, and data-driven decision support. Conduct conversations in English and Saudi Arabic (Jizan) while maintaining logical flow and professional communication. What we’re looking for: Native-level speaker of Saudi Arabic (Jizan). Good command of English to understand project instructions and communicate effectively. Strong analytical and business mindset. Excellent written communication skills. Professional background in areas such as business/data analysis, finance, research, STEM, or technical writing is preferred. Ability to reason through scenarios and maintain logical, realistic conversations. Ability to work independently and follow detailed instructions. What We Offer Flexible schedule Opportunity to earn extra income Timely payments Remote work The opportunity to contribute to the development of AI Vendor Type   When applying, please select the option that best describes your working status.   Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.     RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.