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Location: London, Paris, Wrocław, Zurich, Dubai, Aarhus, Amsterdam Programmes offered: Final-year internship, penultimate-year internship Location: London, Paris , Wrocław, Zurich, Dubai, Aarhus, Amsterdam Programme duration: 3–6 months or 12-month industrial placement , starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As a Technology Intern, you’ll help build the systems, platforms and tools behind QRT’s research, trading and investment activities. You’ll work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance, reliability and good engineering judgement matter. Depending on your interests and strengths, you may join one of two Technology disciplines. Software Engineer (London , Wrocław, Zurich ) Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets, brokers and data providers, as well as the systems used for order generation, execution, analytics, risk management and P&L reporting. The engineering problems vary considerably in scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible to users across the firm. As an intern, you’ll work with experienced engineers, quantitative developers and researchers on a defined technical problem. You’ll be expected to understand the problem properly, make sensible engineering choices and build something useful. Examples of projects you may work on include: AI-Powered Static Analysis – Build a tool combining static analysis and large language models to identify double-deletion and memory-management issues in our public API. Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders, making strategy testing more representative of live trading. Risk Data Platform – Extend our risk data platform to provide the data required to support trading in a new trade type. Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity. Quantitative Developer (London, Paris, Wrocław, Dubai, Aarhus, Amsterdam) Quantitative Developers work at the intersection of research, trading and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse markets and run strategies in production. The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning platforms or creating tools that make complex data easier to work with. You’ll work on live technical problems where performance, reliability and iteration speed all matter. It’s a collaborative role with direct exposure to quantitative research, financial markets and production trading systems. Examples of projects you may work on include: Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter. Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently. Research and Trading Tools – Design tools that simplify workflows, improve access to data and make complex information easier to understand through effective visualisation. You’ll work directly with traders, researchers and risk teams to understand their problems and build practical solutions. Your current skillset Eligibility: Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject, on track for a 2:1 or above from a leading institution. Interest in technology: You enjoy solving technical problems and are curious about how systems work. You’re interested in building things, not just studying them. Software engineering experience: We value hands-on experience wherever you gained it — through personal projects, open-source contributions, hobbies, internships or academic work. Programming: Proficiency in C++, C# or Python. Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux. Mindset: Curious, proactive and comfortable asking questions. You look for ways to make systems simpler, faster or more reliable and can turn those observations into practical improvements. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs over $500M/year in ad spend and has grown 5× since March. The role involves owning the Meta Ads methodology encoded as deterministic rules and skills within the AI agent, improving and testing the algorithm to run Meta media buying end to end from inputs like goals, parameters, and creatives. Responsibilities include maintaining a single source of truth methodology, improving it by generating and testing hypotheses on historical data, building a testing machine to automate testing cycles, and creating implementation and control skills for account audits and adaptations. The ideal candidate is a top expert in Meta methodology with experience running media buying at scale (~$500K+/month), possessing deep knowledge of Meta account architecture, creative testing, data analysis, and decision logic beyond simple rules. They should be AI-native, able to build pipelines and automation by hand, and convert logic into deterministic skills backtested before deployment. The team includes top performance marketing and product experts from major agencies and ad platforms. The position offers up to $180,000/year gross, remote work worldwide within UTC+5 timezone, provided tools including AI infrastructure, 50% education cost coverage, two weeks vacation twice a year plus holidays, and employment via Deel contract. Application is through the "Apply for this role" button on the provided link, followed by recruiter contact and interviews with leadership.

Location: Belgrade Job Overview Wargaming is looking for an Armored Vehicle Technical Consultant for World of Tanks. If you are a huge fan of technology and military history, you are welcome to join the Military Design and Research team. Our ideal candidate has the skills to read drawings, knowledge of the layout of combat vehicles, their appearance, and internal structure, and an understanding of the technology of operation of units and equipment assemblies, primarily armored vehicles of the period 1940 - 1990s. Reports to Head of Military Design and Research What will you do? Work in a team of historians with a group of contractors for the production of 3D models and drawings of military equipment (selection of source materials, execution and issuance of assignments, support during work progress, acceptance of work deliverables, and transfer to production) Search for and systematize historical materials on military equipment (Internet, printed publications, archives, museums, exhibitions, private collections, company partners, etc.) Consult on equipment, uniforms, and  historical events for other divisions of the company Check 3D models of military equipment for historical and technical compliance Development of vehicle concept sketches, scale schemes, estimation and calculation of principal technical and performance specifications, and preparation of vehicle design descriptions, including the use of open-source publications and archival materials What are we looking for? Technical or engineering education Knowledge of the military history of auto and armored vehicles of the world of the XX-XXI centuries (structure, layout) Understanding of the fundamentals of design and materials of vehicles and armored vehicles (calculations of tactical and technical data, layout data, armor protection, etc.) PC skills, knowledge of text and graphic editors (Photoshop, E-Drawings, standard office programs, Blender) A combination of creative and technical thinking English language skills on a good level C1- C2 Russian proficiency (for the effective search, reading, and comprehension of historical and engineering materials related to military equipment) What additional skills will help you stand out? Knowledge of world history on military subjects and military conflicts Skills in CAD (SolidWorks and analogues) Passion for modeling Experience with military archives Work mode On-site at the office in Belgrade This role is eligible for relocation & immigration support Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As Senior Legal Counsel, you will serve as a trusted advisor and key strategic leader navigating complex global legal landscapes to directly accelerate Docebo’s growth. Partnering with cross-functional powerhouse teams—like Sales, Deal Desk, Finance, and Partnerships—you will lead high-stakes negotiations, champion innovative legal strategies, and safeguard our organization across multiple jurisdictions. If you are ready to apply your legal expertise to transform the future of AI-driven learning in an agile, high-impact environment, this is your next big move. ⚡ THE DAY-TO-DAY - Lead the Charge: Partner closely with senior leadership and cross-functional teams across Sales, Deal Desk, Finance, and Partnerships to deliver high-impact legal guidance aligned with core business objectives. - Architect the Future: Design, draft, and negotiate complex, high-value SaaS agreements, Master Service Agreements, vendor contracts, NDAs, and partnership deals. - Revolutionize Process: Innovate and refine key legal workflows, contract templates, and operational processes to boost efficiency and decrease risk globally. - Navigate Risk: Conduct forensic contract reviews to uncover potential risks and deliver practical, business-oriented solutions that protect Docebo’s interests. - Advise & Empower: Act as a strategic counselor to internal stakeholders on data privacy, product compliance, disputes, and complex commercial negotiations. - Fuel Expansion: Drive the legal framework behind high-stakes strategic growth, leading reviews for RFPs, tender responses, and M&A due diligence activities. - Champion Knowledge: Create and deliver interactive internal training initiatives to educate teams on compliance, policies, and global legal best practices. 💪 YOUR SUPERPOWERS - Legal Credentials: Holds a JD/LLB from an accredited law school and is active/admitted to practice law in any province. - SaaS Expertise: 8+ years of dynamic legal experience, ideally built within a fast-paced technology or SaaS enterprise. - Deal-Making Genius: Extensive experience negotiating and drafting complex SaaS subscriptions, professional services agreements, and privacy terms under tight deadlines. - Privacy Sentinel: Deep expertise in global privacy framework regulations (such as GDPR) and their practical application in cloud and AI technology. - Strategic Problem-Solver: A solution-oriented mindset with advanced negotiation, communication, and stakeholder management skills. - Tech-Savvy Leader: Proficiency in tools like Salesforce or standard CRM systems and a track record of mentoring junior legal professionals. 🌟 BONUS POINTS - M&A & Tender Experience: Hands-on experience driving legal due diligence for major M&A transactions and large-scale government/enterprise tenders. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: Europe We are toogeza, a Ukrainian recruiting company focused on hiring talent and building teams for tech startups worldwide. People make a difference in the big game, and we may help find the right ones. Currently, we are looking for a Machine Learning Engineer — Physics AI for Zibra AI. Zibra AI is a deep-tech company building advanced technologies for working with large-scale 3D data. The team has a strong background in computer graphics and data compression and is now expanding its technology into industrial simulation and Physics AI. The company is developing a new data infrastructure layer that makes massive scientific and simulation datasets significantly easier to store, transfer, visualize, and use for AI training. You will work at the intersection of Physics AI, scientific computing, ML systems, and data compression. A major part of the role is to benchmark our codec across different model architectures, study how compression affects accuracy and training efficiency, and explore new approaches to training directly in compressed representations. WHAT YOU WILL DO - Benchmark our compression technology across a wide range of Physics AI architectures and datasets. - Run large-scale experiments for CFD, turbulence, weather, engineering, and other scientific ML workloads. - Measure the impact of compression on: - model convergence and final accuracy; - training throughput; - GPU utilization; - CPU and data-loading overhead; - storage and network requirements. - Compare compressed-data training against conventional pipelines and alternative compression methods. - Research training directly in compressed or partially decoded representations. - Explore compression-aware sampling, augmentation, tokenization, and model architectures. - Design rigorous, reproducible benchmark methodology. - Integrate compressed datasets into PyTorch and distributed training workflows. - Turn experimental results into product recommendations and research directions. - Write technical reports, benchmark publications, blog posts, and academic papers. - Collaborate with external research groups and industrial partners on joint evaluations. WHAT WE ARE LOOKING FOR - Hands-on experience with Physics AI / scientific machine learning is required. - Experience training models on simulation or physical-science datasets. - Strong practical experience with PyTorch and modern deep-learning workflows. - Familiarity with architectures such as: - neural operators; - mesh GNNs; - transformers for physical systems; - surrogate models; - foundation models for science; - PINNs or related methods. - Experience with large 3D/4D datasets such as volumetric grids, meshes, point clouds, or spatiotemporal fields. - Good understanding of GPU training performance, data loaders, profiling, and distributed training. - Strong experimental methodology and ability to design controlled benchmarks. - Ability to analyze how numerical approximation and preprocessing affect model quality. - Strong Python and scientific-computing skills. - Ability to communicate research results clearly in written technical form. NICE TO HAVE - Experience with PhysicsNeMo or similar scientific ML frameworks. - Background in CFD, FEA, climate, turbulence, combustion, or computational physics. - Knowledge of lossy compression, quantization, numerical error analysis, or signal processing. - Multi-GPU or multi-node training experience. - Previous academic publications in ML, scientific computing, compression, or related fields. If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: Brasov, Romania Workplace: on-site We are looking for an organized and proactive person to provide operational and administrative support to the Acquisition Committee. The role involves coordination, effective communication, and the ability to manage multiple activities simultaneously in a dynamic environment. Your main responsibilities will include: ·        Organizing the Acquisition Committee’s agenda; ·        Planning meetings and coordinating third-party participation in meetings; ·        Preparing meeting minutes; ·        Following up on actions and decisions, ensuring that information is properly communicated according to the project; ·        Reporting and facilitating communication among committee members; ·        Sending official communications and decisions to the relevant stakeholders; ·        Performing various administrative tasks assigned by committee members; ·        Organizing committee events; ·        Liaising with teams depending on the project; ·        Managing email inboxes and organizing related documentation; ·        Preparing presentations. To succeed in this role, you will need: ·        Higher education (Bachelor’s degree or equivalent); ·        English language proficiency at B2–C1 level; French is considered an advantage but is not mandatory. ·        Previous experience in a similar role: at least 6 months, up to 1 year. ·        Knowledge of MS Office, PowerPoint, and Canva is an advantage; ·        Strong organizational and communication skills, with a proactive mindset; ·        Excellent time management skills and ability to meet deadlines; ·        Analytical thinking and strong summarizing skills; ·        Ability to structure and present information clearly and coherently. Because we value your commitment and willingness to learn, we offer: ·        Flexible benefits package; ·        Initial training and onboarding support; ·        Real career development opportunities in a professional environment alongside successful international teams; ·        One extra day off during your birthday month; ·        The opportunity to work in an international company with offices in 9 countries; ·        Participation in activities, contests, and internal HR initiatives. If you recognize yourself in this description, we look forward to receiving your CV! -

Location: Remote - Singapore Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Strategic Account Executive About the job Reporting to the Senior Manager, Strategic Account, this position is needed to manage relationships with some of our largest current Communications platform customers who consume our messaging, voice and email services. You will be directly responsible for protecting and growing Twilio’s communications business across your assigned customers with a focus on South East Asia or South Asia enterprises. As a Strategic Account Executive, you will drive highly analytical and consultative sales cycles (upsell and cross sell) with customers that are running large scale, global, competitively sourced, compliance-heavy, use case-specific businesses. This role is cross functional dependent, and your success will depend on building deep partnerships across product management, finance, support, and operations. Responsibilities In this role, you’ll: Manage and expand some of our most important customer accounts, including high growth technology, retail, eCommerce, Insurance and fintech companies. Develop, drive, and execute account strategy to consistently deliver strong revenue, gross margin, and gross profit results. Partner closely with other Twilio teams to identify new revenue opportunities within your account portfolio. Serve on a cross-functional account team with representatives from product, finance, support, and services teams. Run a disciplined forecast, consistently achieve goals, and present guidance to executive management. Run highly consultative sales cycles with our largest customers with a focus on deep discovery, listening to customer needs and being an effective champion for their point of view in the organization Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: More than 5 years of combined experience in major account or strategic sales, managing or leading quantitative, highly analytical products and solutions for customers. Experience in supporting South East Asia or South Asia territories. Accountable for relationship management, cross sells, upsells and solutions consulting. Comfortable working with business and highly technical leaders, while influencing their understanding and building supportive partnerships. Analytical account development strategy based on using data to find opportunities and prove value. Demonstrated track record of managing business forecasts and financial models with use of MEDDPICC. Entrepreneurial mindset with appetite to define processes and build programs. Proven track record of developing, growing and delivering revenue & gross profit results, especially for large-scale and enterprise customers in Asia. Excellent verbal and written communication skills. Bachelor’s Degree or equivalent years of experience. Desired: A Bachelor’s degree or equivalent experience CDP & CPaaS experience is highly desirable Experience selling SaaS/CPaaS/CDP solution selling to a technical and business audience An understanding of the customer experience (CDP + CPaaS) business model Experience managing high tech South East Asia enterprises Location This role will be remote, and based in Singapore Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 30% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the Role We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator. This is not a traditional SWE role. You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems. You should be the kind of person who constantly explores what’s happening in AI: - new agent frameworks - open-source tooling - AI video & creative workflows - MCP servers - coding agents - automation stacks - multimodal systems - new product patterns emerging every week You don’t just follow trends — you prototype them. WHO WE’RE LOOKING FOR You might be a fit if you: - Are a hustler who ships fast and experiments constantly - Have strong intuition for building new AI-native products and workflows - Stay deeply plugged into the AI ecosystem and emerging tooling - Understand how modern AI agents actually work under the hood - Can automate things quickly and creatively - Think in systems and workflows, not just prompts - Have strong product taste and curiosity - Thrive in fast-moving, ambiguous environments - Learn new tools obsessively fast MUST-HAVE SKILLS - Experience with JavaScript or Python (ideally both) - Comfortable building prototypes, automations, and internal tools - Understanding of: - LLMs - tokens/context windows - APIs & CLI tooling - MCP ecosystems - agent frameworks - tool use & orchestration - RAG / retrieval concepts - Experience using modern AI coding workflows and AI-native tooling - Ability to quickly turn ideas into working demos or systems BIG PLUS - Experience with ML or training/inference infrastructure - Experience with multimodal or video-generation tooling - Familiarity with open-source AI ecosystems - Experience building agentic systems or autonomous workflows - Strong vibe-coding energy WHAT YOU’LL WORK ON - Build AI-native internal and external products - Prototype new agentic workflows and automation systems - Explore frontier AI tooling and identify new product opportunities - Experiment with multimodal generation systems - Build automations across engineering, creative, and operational workflows - Work closely with product, infra, and research teams - Help the company stay ahead of where the AI market is going THE DEAL - Top-of-market compensation in USD. - Small team, high autonomy, and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: Portugal; Montenegro; Hungary 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. About the Role   As a Customer Care Specialist, you will be the voice of Finom, delivering not just excellent service, but a standout, memorable customer experience. Our goal is not simply to resolve issues, but to turn moments of frustration into moments of trust, and customers into passionate advocates for Finom.   You will support customers primarily via phone, while also handling chat and email interactions as needed. You will engage with customers who may be experiencing complex or high-impact issues, and your ability to build rapport, demonstrate empathy, and take ownership will be key to your success. What you'll do: Deliver a “wow” customer experience across phone, chat, and email, consistently going above and beyond customer expectations Build strong, genuine rapport with customers, especially during challenging or sensitive situations Actively listen to understand customer needs, concerns, and the root cause of issues Communicate clearly, confidently, and empathetically, explaining situations in a way customers can easily understand Take full ownership of customer issues, acting with urgency to drive resolution as quickly as possible Proactively follow up with customers, keeping commitments and ensuring no issue is left unresolved Turn dissatisfied customers into loyal advocates through outstanding service and personal accountability Collaborate closely with internal teams to escalate, track, and resolve complex issues Accurately document customer interactions and outcomes in internal systems Contribute to continuous improvement by sharing insights and feedback from customer interactions Who You Are Native or fluent speaker in Dutch or German (written and spoken) A minimum of 6 months of customer care service experience — regardless of industry background Strong communication skills with the emotional intelligence to handle high-impact customer situations A natural sense of empathy and a genuine desire to help people Resilience and composure when dealing with complaints or difficult conversations A proactive mindset with strong follow-through — you do what you say you will do Comfort working in a fast-paced, ever-evolving scale-up environment Agile, adaptable, and energized by change Strong problem-solving skills and the confidence to take ownership Nice to have Experience in fintech, banking, payments, or financial services Previous experience in a phone-based customer support role What we offer 100% remote working. Up to 24.000 EUR Gross base salary x year - depending on experience Up to 15% monthly bonus linked to individual and team performance. Stock Option/Shares program. Usage of the company's flats in Cyprus for our work-and-swim program. Opportunity to develop your skills in a fast paste FinTech environment. B2B Contract Working Hours and Flexibility: 7-day operational support model - usually from Monday to Friday Weekend work required once per month / every 6 weeks, with advance scheduling Usually from 9:00 to 18:00 with 1 hour lunch break. At times, shift times between 07:00 and 19:00 CET Hiring process for this role: Application review Technical Online Assessment - 2 business days Recruiter Call - 15 min Final Interview - 45 mins Offer 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: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity About the Liquidity Platform The Liquidity Platform provides technology covering the full lifecycle of cryptocurrency trading, including venue connectivity, real-time market data processing, automated quoting and trading, order execution, position management, risk controls, and data analytics. The platform connects to centralized exchanges, decentralized venues, and event contract markets worldwide. It supports spot, derivatives, and event contract products and provides stable, efficient infrastructure for our liquidity business. About the Options Market Making Team The Options Market Making team develops and operates automated options quoting and trading systems. Our responsibilities span market data integration, options pricing, volatility and Greeks calculations, automated quoting, order execution, position management, hedging, and risk controls. The team owns the complete trading lifecycle and continues to advance both the multilingual development of our trading systems and our AI-native engineering practices. In this role, you will contribute across the trading system, develop an understanding of its different business domains, and take end-to-end responsibility from requirements analysis and implementation through production operation. What You’ll Be Doing Design, develop, and operate automated options market making systems covering market data, pricing, quoting, order execution, hedging, positions, and risk controls. Work closely with trading, quantitative, and product teams to translate business requirements into reliable, testable production systems. Contribute to the development of trading systems and continuously improve the performance, stability, and maintainability of critical trading paths. Follow an AI-native engineering approach by applying AI coding tools to requirements analysis, technical design, development, testing, and code review, while remaining accountable for the quality of the final delivery. Improve testing, monitoring, alerting, and recovery capabilities, and participate in incident resolution and post-incident reviews. Own the technical design and code review of core modules. Senior and Staff engineers will also lead cross-module projects and architectural evolution. What We Look For In You Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, Physics, or a related discipline. At least two years of experience in backend engineering, real-time systems, infrastructure, or trading systems. Proficiency in at least one of Java, Rust, or C++, with the ability to work effectively in a multilingual codebase. Strong computer science fundamentals, including operating systems, network communication, multithreading, concurrent programming, and distributed systems. Proficiency in using AI coding tools for requirements analysis, development, testing, and code review, with the ability to independently evaluate and validate AI-generated designs and code. Strong analytical skills, business understanding, ownership, and communication skills, including the ability to read technical materials and communicate in written English. Technical Requirements Proficiency in developing production systems with Java 17+, Rust, or C++, with the ability to design, implement, and troubleshoot within a multilingual codebase. Familiarity with Linux development and runtime environments, including the use of common tools for resource analysis, performance diagnostics, and troubleshooting. Experience with multithreading, asynchronous processing, network I/O, and high-performance data structures, with an understanding of lock contention, memory allocation, caching, garbage collection, and their impact on latency. Ability to use AI coding tools to support requirements analysis, development, testing, and code review, while independently validating the correctness and production safety of generated code. Familiarity with TCP, UDP, WebSocket, HTTP, or proprietary exchange protocols, with experience developing real-time data or trading interfaces. Ability to design and optimize high-throughput, low-latency systems and identify bottlenecks through profiling, benchmarking, and production metrics. Familiarity with real-time messaging and inter-process communication. Experience with Aeron, shared memory, lock-free queues, or binary protocols is preferred. Experience building logging, metrics, alerting, and automated recovery capabilities for continuously operating production systems. Familiarity with build and dependency management for large multi-module projects, together with experience in unit testing, integration testing, and continuous integration. Preferred Qualifications Experience in options market making, quantitative trading, exchange connectivity, market data, order management, quoting, hedging, or risk systems. Understanding of order books, order lifecycles, and market microstructure. Understanding of options pricing, volatility, Greeks, PnL, inventory risk, and dynamic hedging. Experience developing low-latency trading systems, real-time market data systems, or high-performance network services. Experience evolving multilingual systems or separating performance-sensitive components. Experience with market data replay, strategy simulation, trade reconciliation, or production incident resolution. Experience using Python for data analysis, backtesting, or production diagnostics. Practical experience using AI coding tools such as Claude Code or Codex in production projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: We’re looking for an FP&A Manager, Product to join our Finance team. You’ll be the financial lead for our Engineering, Product, and Design (EPD) organizations—owning OpEx and headcount planning while building scalable systems that improve visibility and decision-making. You’ll partner cross-functionally with Engineering leadership, People, and Strategic Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. This is a hybrid role based in San Francisco, with in-office days on Monday, Tuesday, and Friday. What You'll Do: Own the Product investment envelope – Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining disciplined spend and margin targets. Drive rigorous workforce planning across technical and corporate teams – Build bottom-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale. Model infrastructure and internal systems economics – Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack. Translate roadmap and corporate priorities into financial tradeoffs – Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact. Elevate budget vs. actuals rigor across the organization – Lead monthly BvA reviews for EPD. Automate reporting, improve accrual accuracy, and surface actionable insights—not just variance explanations. Design scalable financial controls without slowing teams down – Implement approval workflows for headcount, vendor spend, and enterprise tooling that are disciplined, fast, and transparent. Use automation and AI to reduce manual review and eliminate bottlenecks. About You: Proven partner to Engineering leaders – You’ve supported technical teams and corporate functions, understanding how product velocity and operational infrastructure translate into financial outcomes. Fluent in infrastructure and SaaS cost drivers – You understand cloud economics, AI/compute scaling, enterprise tooling, and how architecture and vendor decisions impact margins. Strong operator in workforce planning – You’ve managed complex headcount models across multiple departments, aligning hiring pace with financial guardrails. Advanced financial modeler – You build scenario-driven models with clear assumptions and sensitivity analysis that stand up to executive scrutiny. Precision-focused and systems-oriented – You eliminate blind spots in forecasting, improve accrual accuracy, and build processes that scale without creating bureaucracy. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000.00 - $220,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Spain The Company Our client is a progressive global plastic recycling business with three distinct divisions: (1) Plastic Recycling; (2) Recycled Supply Chain Management; and (3) Recycled & Waste Plastic Feedstock. Their expert global team combine impressive technical knowledge and capability with a passion for recycling and the circular economy. Our client is passionate about transforming waste into a valuable commodity, buying, selling and recycling scrap plastic. Since our client started on their journey in 2005, they have developed a worldwide presence, serving hundreds of customers in over 50 countries. They have grown a strong, talented team who are highly trained, dedicated and loyal. They are headquartered in Hong Kong with operations and representation in Australia, Finland, Ireland, Turkey, Spain, Netherlands & UK. They operate a factory based in the UK specialising in the collection and recycling of plastic waste generated from industry and manufacturing. Job Summary Your role will be to procure and sell recycled plastics, with a particular focus on PET (rPET). You will be working closely with local and global teams, communicating with colleagues across the world every day, a highly collaborative and entrepreneurial mindset are key to being a top performer. You will develop relationships with material suppliers & buyers, assess their capabilities for a fit with our client's strategy and market demands. Being able to manage ongoing negotiations, incoming new opportunities and customer development all at the same time makes this role suitable for a skilled business development executive who is results driven and uses time effectively. Success is achieved through a disciplined and consistent approach to building relationships, utilising the CRM and hunting for your own leads to keep a full pipeline of opportunities. The ideal candidate will thrive in a fast-moving environment, react quickly to changing priorities, be able to follow internal processes and proactively manage risk. An excellent communicator, you will demonstrate an optimistic and persistent approach, always open to giving and receiving feedback on performance. Challenges are seen as an opportunity to learn. This role is suited to an ambitious individual who is motivated, goal driven and wants to be part of a values driven organisation in a growth industry. Essential Duties & Responsibilities Business Development & Delivery Map the market and develop new suppliers & buyers from manufacturing (fibre, sheet & film), recycling & waste sectors. Assess client suitability against strategy, quality requirements & size of opportunity. Develop purchasing contracts for regular volumes of waste and recycled materials (particularly PET or rPET). Execute sales for scrap & recycled PET (rPET) sourced from our client's global locations to licensed manufacturers and recyclers. Actively seek out new opportunities and conduct market research through research, cold calling, networking, social media, attending conferences and trade fairs. Maximise margin by using effective negotiation techniques. Able to challenge customer views and counter objections to move towards closing a deal. Actively engage with the greater team to develop skills and share knowledge. Perform site visits to qualify, build relationships and discover market information. Develop and enhance relationships by being creative, innovative and offering excellent service that is responsive and tailored to client needs. Engage in constant and active risk management, to ensure the material is per the company and customer quality requirements. Reporting & Management Keep detailed logs in CRM of all activities constantly. Maintain accurate records of customer information in CRM, including material requirements. Provide feedback & market reports to Management. Use knowledge of competitors and market to develop our client’s unique selling propositions. Contribute to developing standard operating procedures to mitigate risk and ensure seamless workflow. Requirements Person Specification Knowledge (Education & Related Experience) At least 5 years’ experience in business development in raw materials supply. Experience in recycled plastic or prime PET an advantage, not a requirement. Experience of developing new accounts and long term contracts. Skills & Abilities Multilingual (fluent English is a requirement). Able to use logic and reasoning to appraise situations . Able to anticipate opportunities and risks. Able to build rapport quickly with colleagues and customers. Able to negotiate effectively with customers to maximise margins. Able to effectively collaborate with colleagues to achieve results. Able to manage and respond quickly to changing/competing priorities . Highly organized, able to independently plan own time. Able to follow internal procedure & policy (CRM, Admin, Trial Policies, Customer Onboarding). Able to present and clearly communicate information in speaking and writing. Able to ensure tasks are completed on time and to a high-standard. Able to use Excel, Outlook, Word and other MS Office products with high level of proficiency. Able to undertake effective research. General Attributes Non-Negotiables : Action oriented, Builds strong relationships, Curious, Driven to learn, Empathetic, Investigative, Reflective, Resilient, Resourceful, Seeks feedback, Trustworthy. Willing to take complete ownership of the role and drive success. Grit and determination. Persuasive with a ‘can do’ attitude. Self-aware and reflective on successes and failures. Not afraid to have challenging conversations. Understands that upfront effort prevents issues down the line. Committed to on-going personal and professional development. Values team above self.

About us: Proxify connects top developers worldwide with opportunities. Since launch, Proxify developers have worked with 1200+ clients and 5000+ developers trust the network. Proxify supports remote full-time jobs with high ratings on Glassdoor and Trustpilot. The Role: Seeking a Senior QA Automation Engineer to be the primary architect of quality assurance strategy for a high-growth client team. Responsibilities include building scalable automation frameworks, defining test strategies, selecting tools, and integrating automated suites into CI/CD pipelines. The role is for a "Developer in Test" focused on building safety nets for confident code shipping. What we are looking for: — 5+ years in test automation with expertise in Playwright, Cypress, or Selenium — Ability to write clean, maintainable test code in TypeScript/JavaScript, Python, or Java — Experience building and scaling automation frameworks (Page Object Model, Screenplay Pattern) — Extensive experience testing RESTful and GraphQL APIs using Postman, SuperTest, or RestAssured — Hands-on integration of automated tests into pipelines using GitHub Actions, GitLab CI, or Jenkins — Mobile automation experience with Appium or Maestro is a significant advantage — Familiarity with performance testing tools like k6 or JMeter Nice-to-Have: — Knowledge of Docker for containerized testing — Experience with Visual Regression testing tools (Percy, Applitools) — Familiarity with Cloud Testing platforms (BrowserStack, Sauce Labs, AWS Device Farm) — Background in Security Testing (OWASP principles) Responsibilities: — Define automation roadmap and select tools matching client stack — Write, maintain, and optimize complex end-to-end integration and regression test suites — Collaborate with Developers and Product Managers to define "Definition of Done" and ensure testability — Identify, document, and track software defects, working closely with dev team — Act as "Quality Evangelist" by conducting code reviews for test scripts and sharing best practices What we offer: — On-time monthly payments with flexible withdrawal options — Predictable project hours with consistent 8-hour working days — Up to 24 flex days off per year without losing pay for full-time positions — Career-accelerating positions at cutting-edge companies — Hand-picked opportunities with no typical recruitment roadblocks — One-time contracting process for multiple opportunities — Consistent monthly compensation

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. Our most active users deserve a relationship with Phantom, not a ticket queue. We are launching an invite only VIP program in app messaging with a real person, enhanced support, and exclusive experiences. You will be its first dedicated hire. As a VIP Account Manager, you are the first point of contact for VIP members inside the app. You will own these relationships end to end: welcoming new members, resolving issues personally, pulling in support and engineering when a case needs them, and staying with it until it is closed. You will help shape the playbook for the team we build around you as the program scales toward round the clock coverage. You will work closely with the VIP program lead, support, marketing, product, and design. RESPONSIBILITIES - Be the personal, named contact for VIP members in our in-app messaging hub - Own member relationships end to end: onboarding and welcome, proactive check-ins, and follow through on every issue until it is resolved. - Handle high stakes situations such as compromised wallets, missing funds, and large transactions with urgency, precision, and discretion. - Triage and escalate: bring in support agents, engineering, or leadership when a case warrants it, and own the communication back to the member. - Meet members where they are: in-app chat first, plus email, X, Telegram, and Discord. - Coordinate the moments beyond support: welcome gifts, event experiences, and early access to new features. - Turn conversations into leverage: channel member feedback to product, build playbooks, and help define the response time and satisfaction standards for the VIP team. - Help design and scale the program from a small founding cohort to thousands of members, and eventually 24/7 coverage. QUALIFICATIONS - 4+ years in premium or VIP support, account management, or customer success, ideally at a sports betting platform, crypto exchange, wallet, brokerage, or fintech app. - Deep crypto fluency: you understand self custody and can navigate multiple chains, reading a block explorer, tracing a transaction, and telling an L2 gas issue apart from a bug. - Exceptional written communication: warm, concise, and human, even under pressure. - Absolute discretion: for high value users, privacy and trust are the product. - Security first instincts: you know the social engineering patterns targeting crypto users, and you would never ask anyone for a seed phrase. - Comfort with ambiguity and ownership: you are the first hire in a new function and will build much of the process yourself. - Time zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job. - Nice to have: experience serving high net worth clients at an exchange or brokerage. - Nice to have: hands on experience with Zendesk and AI support tooling. - Nice to have: fluency in more than one language, or an active Phantom user with real on chain history.   Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT ORGANIC GROWTH MEANS AT HIGGSFIELD Organic growth here is the set of channels that convert without media spend: search, AI assistants, and the content ecosystem they pull from. The channel has already brought in $2M in under a month, and conversion keeps climbing. So this isn't an experiment in the dark. It's a proven channel that nobody has figured out how to scale yet, because the rules are still being written. Millions of people now ask ChatGPT, Claude, Gemini and Perplexity which tool to use instead of typing it into Google. What those answers say about Higgsfield decides who discovers us and whether they choose us. An Organic Growth Manager here is a high-agency operator who: - treats SEO, AEO and GEO as one channel, not three disciplines; - turns observations into hypotheses, tests them, and scales what moves the number; - builds systems and automations instead of doing the same research by hand every week; - moves work through adjacent teams, not just through their own hands; - owns the line from visibility to sign-ups, not just rankings. WHAT YOU WILL OWN Visibility across search and AI assistants - Understand how Higgsfield and competitors appear across Google and across LLMs — and why; - Map how people actually ask for products in our category, and identify the queries worth winning; - Find the gaps and the weak spots, including results that currently work against us. The source ecosystem - Understand which sites, communities, creators and formats different engines trust and retrieve; - Shape what information exists about Higgsfield online and how our category gets described; - Work with content, product and external partners to turn that into things that actually get published. Measurement and experimentation - Connect visibility, citations, traffic, sign-ups and revenue — the channel is judged on conversion, not vanity metrics; - Build lightweight systems (Sheets, APIs, scripts, automation tools) to cut manual work; - Continuously test new sources, formats and tools as the engines evolve. WHO WE'RE LOOKING FOR We don't require experience in AEO or GEO — almost nobody has it. We care about how you solve unfamiliar problems, and about what you've already delivered somewhere else. Must-have - A measurable result you can walk us through. Which metric you moved, by how much, and what part of it was yours; - You turn data into decisions — and can explain why that decision and not another - Technically curious: you figure out new tools, systems and data on your own; - Has built or automated something before, rather than doing the same thing by hand every week; - Can move work through adjacent teams and external sites, strong cross-functional and partner skills - Fluent English, and comfortable working with content when needed; - High ownership: you don't wait for a task list, you understand the goal and figure out how to get there; Good to have - Experience in SEO, growth, analytics, content, engineering or automation; - Familiarity with LLM retrieval, RAG, or technical SEO; - Your own project, product or business — anything you built without a brief; - Strong understanding of the GenAI ecosystem. WHAT THIS ROLE IS NOT - It's not a channel with an existing playbook to execute; - It's not a role where someone hands you a task list; - It's not a fit if you prefer strategy over execution, or want predictable 9-to-5 workdays. THE DEAL - Competitive salary in USD, reviewed as you grow; - On-site role in Almaty, Kazakhstan; - Access to Higgsfield products and the AI tools we use internally; - Breakfast, lunch and good coffee on us;

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. In 365 days we shipped 305 releases — roughly five years of work at most companies. New models, features and workflows land every week, and each one has to be explained to millions of users in a way that makes them understand it, want to try it, and remember it. WHAT YOU WILL WORK ON - Writing about releases, features and updates for our blog, guides and newsletters; - Translating product context into language users actually understand; - Working cross-functionally — inside CX, and with the product and marketing teams; - Shaping how Higgsfield sounds: the words we use about ourselves, how we're read, how we're remembered. YOUR MUST HAVES - English C1+ — the language you think in, not the one you translate into; - Real craft with text in English and Russian: you write from scratch, edit for different audiences, and feel rhythm. You can write simply and you can write densely. You understand structure and know how words move people; - A nitpicker, in the best sense: you see a weak sentence and can't leave it. You notice where a paragraph sags, where an analogy doesn't hold, where cutting three words makes it stronger; - A-player mindset: ownership, speed, taste, and genuine interest in AI; - Comfort with the pace — releases ship weekly and the writing has to keep up. NICE TO HAVE - Experience writing for a tech, SaaS or AI product; - Background in product documentation, developer content or technical writing; - Familiarity with the GenAI landscape and the tools creators actually use; - Experience working alongside product teams rather than downstream from them. THE DEAL - Competitive salary in USD, reviewed as you grow; - On-site role in our Almaty office; - Access to Higgsfield products and the AI tools we use internally; - Breakfast, lunch and good coffee on us; - Full-time position with high ownership and growth potential.