Вакансии

Location: Serbia Workplace: remote ABOUT YOU We are seeking a highly skilled Senior Software Engineer – Payments to design, build, and maintain core components of our payment processing platform — spanning both credit card acquiring and alternative payment methods (APMs). Working closely with the Tech Lead and cross-functional partners in Product, Finance, and Risk, you will take ownership of critical payment flows across the full ecosystem: from real-time card authorization through clearing, settlement, and reconciliation, to wallets, bank transfers, local payment methods, and beyond. This role is for an engineer who thrives in complex, high-stakes financial systems, cares deeply about data integrity, and brings both the technical depth and collaborative instincts to contribute meaningfully across the full payments stack. ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers reach more players and grow their businesses around the world. For more information, visit xsolla.com. RESPONSIBILITIES Credit Card Payment Processing Implement and maintain scalable, fault-tolerant services handling real-time authorization, batch clearing, and settlement workflows. Build and maintain integrations with acquiring banks, card networks (Visa, Mastercard, Amex, Discover), payment gateways, fraud providers, and tokenization services. Implement resilient routing logic, retry strategies, and failover mechanisms across card network connections. Ensure transaction idempotency and correct state management across the full card payment lifecycle. Support 3D Secure (3DS2) and Strong Customer Authentication (SCA) flows. Implement and maintain card vaulting and tokenization solutions in line with PCI DSS requirements. Alternative Payment Methods (APMs) Build and maintain integrations with a broad range of APMs, including digital wallets (PayPal, Apple Pay, Google Pay), bank transfers (ACH, SEPA, instant bank pay), buy now pay later (BNPL) providers, prepaid and voucher methods, and regional local payment methods across key markets. Design flexible, extensible integration patterns that allow rapid onboarding of new payment methods and providers. Handle the unique lifecycle requirements of each payment method — including asynchronous notifications, delayed confirmations, refund flows, and currency/settlement nuances. Collaborate with Product to evaluate and prioritize new APM integrations based on market coverage and player demand. Reconciliation & Financial Integrity Build and maintain automated reconciliation pipelines that match authorization, clearing, and settlement records across both card and APM payment rails. Reconcile internal ledgers against acquirer, network, and PSP reports; detect and surface mismatches, duplicates, and missing transactions. Develop safeguards to prevent revenue leakage and ensure ledger consistency at scale. Ensure all financial systems are audit-ready and compliant with internal financial controls. Reporting, Monitoring & Alerting Build and maintain payment reporting systems covering authorization rates, settlement reconciliation, interchange and fee breakdowns, APM conversion rates, and chargeback/dispute metrics. Implement threshold-based alerting for authorization rate drops, decline pattern anomalies, settlement mismatches, volume spikes, and chargeback ratio changes across all payment methods. Contribute to internal financial dashboards supporting cost optimization, risk monitoring, and financial performance visibility. Participate in on-call rotations and incident response for payment-critical systems. Compliance & Security Build systems compliant with PCI DSS , card network operating regulations, data encryption and tokenization standards, and regional mandates. Contribute to secure handling of sensitive payment data across card and APM flows. Support audit processes and financial compliance reviews as required. Fraud & Dispute Management Integrate with fraud detection and risk scoring systems across card and APM payment flows. Implement chargeback and dispute workflow components, including evidence submission and representment support. Build safeguards and monitoring for fraud pattern detection across payment methods. Engineering Excellence Write clean, well-tested, well-documented code with a strong focus on reliability, observability, and correctness. Participate actively in code reviews, technical design discussions, and architecture decisions. Contribute to best practices for distributed systems design, observability, incident response, and financial data integrity. Mentor junior engineers and contribute to a high-trust, high-accountability engineering culture. QUALIFICATIONS & SKILLS 5+ years of software engineering experience, with a strong focus on PHP and Go (Golang) tech stacks at least 2+ years working on payment processing systems in production Hands-on experience with card payment flows: authorization, clearing, settlement, reconciliation, and chargebacks. Experience integrating with or building against one or more APM providers (wallets, bank transfers, BNPL, local payment methods). Solid understanding of the four-party (Visa/Mastercard) and three-party (Amex/Discover) models , including interchange, BIN logic, MCC codes, AVS, CVV, and 3DS/SCA. Strong understanding of distributed systems: idempotency, eventual consistency, fault tolerance, and high availability. Proficiency in designing and consuming RESTful and/or event-driven APIs in a payments context. Familiarity with PCI DSS and payment data security fundamentals. Strong debugging and incident response skills in complex, high-volume financial systems. NICE TO HAVE Experience at a PSP, acquirer, issuer, payment gateway, or fintech platform. Familiarity with global payments and cross-border processing, including FX, local settlement, and regulatory considerations. Experience at high transaction volumes (10M+ monthly transactions). Exposure to authorization rate optimization and intelligent payment routing. Familiarity with the gaming, digital goods, or e-commerce payments landscape. Experience with audit processes and financial compliance reviews. WHAT SUCCESS LOOKS LIKE In your first 6 months, you will have: Delivered meaningful improvements to at least one area of the card or APM payment stack — whether a new integration, a reconciliation improvement, or a reliability/observability uplift. Demonstrated deep ownership of a payment domain area, proactively identifying and resolving gaps in reliability, correctness, or coverage. Built strong working relationships with the Tech Lead, PM, and cross-functional stakeholders across Finance and Risk. Contributed to engineering practices that raise the quality bar for the broader payments team. Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com    Explore more opportunities at: https://xsolla.com/careers

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role We are hiring a Software Engineer to build systems across Fraud, UIM (User & Identity Management), and Identity. This role sits at the intersection of security, risk decisioning, and product experience. You will help build detection and enforcement capabilities for fraud and account takeover, as well as the identity primitives that power authentication, authorization, and safe account access. This work is deeply cross-functional. You will partner closely with Fraud Ops, Risk Strategy, Security, Product, and Data to ship improvements that are measurable in loss reduction, attack containment, and user experience. WHAT YOU’LL DO - Build and evolve backend services that detect and prevent fraud across multiple surfaces, including account access and money movement. - Develop enforcement and response tooling that enables fast, safe actions such as identity locks, business locks, payment freezes, and other containment levers. - Improve protections against account takeover (ATO), including risk-based step-ups, monitoring, and targeted friction controls (for example “under attack” style controls and MFA surge detection/alerting). - Design and operate high-signal systems with strong observability: metrics, dashboards, alerting, and playbooks for incidents and fraud campaigns. - Partner with UIM/Identity stakeholders to strengthen authentication and identity foundations (roles, permissions, identity state, and related platform primitives). - Drive end-to-end delivery: technical design, implementation, rollout strategy, and iteration based on outcome metrics. WHAT YOU’LL NEED - 3+ years of software engineering experience (or equivalent). - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability). - Experience building data-informed detection or decisioning systems (rules engines, scoring, anomaly detection, or similar), or strong interest in learning in this domain. - Proven ability to operate production systems: debugging, incident response, and improving on-call quality through instrumentation and automation. - Strong cross-functional communication skills and comfort working with product and operations partners. Nice to Have - Experience in fraud, risk, identity, authentication, authorization, abuse prevention, or security engineering. - Familiarity with payments rails, card transaction risk, or account security patterns. - Experience building internal tools for operations teams (case management, investigation, enforcement workflows). BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

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

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Team We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system. About the Role We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments. You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span: Identity trust & risk modeling — fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals. Cluster & relationship intelligence — graph and clustering methods to identify account farms, mass registration, and coordinated attacks. Behavioral risk modeling — behavioral features and sequence models for account takeover and abnormal-session detection. Biometric & multimodal signals — face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer. AI agents — applying agentic AI to scale investigation, detection, and operational defense. What You'll Be Doing Build identity trust & risk models: Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning. Uncover organized fraud with graph & clustering: Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse. Develop behavioral features & sequence models: Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions. Leverage biometric & multimodal signals: Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself. Drive execution & collaboration: Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling. Advance applied R&D: Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses. Raise the technical bar: Contribute to design reviews, share applied-AI best practices, and mentor junior engineers. What We Look For 5+ years of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production. Graph & clustering expertise: Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection. Behavioral modeling: Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines. Deep AI/ML expertise: Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems. Strong technical & coding skills: Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency. Adversarial mindset: Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks. Collaboration: Strong communication skills, with experience working across engineering, product, and risk teams. Education: Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field. Preferred Qualifications Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security. Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics. Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features. Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake). Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models. Experience with LLMs and AI agents. Experience working in fast-paced technology companies or security-critical environments. Research publications, patents, or open-source contributions in relevant AI fields. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Porto, Portugal Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Portuguese and fluent in English. Location: Must be based in Portugal. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Netherlands Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Dutch and fluent in English. Location: Must be based in Netherlands. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Japan Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Japanese and fluent in English. Location: Must be based in Japan. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Italy Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Italian and fluent in English. Location: Must be based in Italy. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Spain Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in Spanish and fluent in English. Location: Must be based in Spain. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: France Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in French and fluent in English. Location: Must be based in France. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: Germany Workplace: remote We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance. Responsibilities: Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters. Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus. Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts. Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked. Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall. Draft technical launch readiness justifications (Launch Certification Documentation) for final. Requirement: Language Skills : Native fluency in German and fluent in English. Location: Must be based in Germany. Education : Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field. Prompt Engineering & AI Expertise : At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning. Data Analysis : Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools. Technical Agility : Ability to quickly learn and master proprietary tools with minimal supervision. Communication : Excellent verbal and written communication skills. Optional / Preferred Skills: Familiarity with enterprise-grade LLM interfaces like the Goose API. Experience in AI model evaluation, data science, computational linguistics, or software engineering. Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows. Linguistic expertise, including an understanding of semantics and logic.

Location: United States; Canada; United Kingdom About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across 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. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor Job Summary Our client is a fast-growing AI-first B2B growth agency that helps high-growth tech companies scale revenue through AI-powered Revenue Operations, automated outbound systems, and growth infrastructure. They work with venture-backed startups and scaling B2B SaaS companies, implementing end-to-end GTM systems, sales automation, and data-driven outbound strategies. Since launching, the company has grown from $0 to $2M ARR in under a year while working with some of the fastest-growing startups backed by leading venture capital firms and accelerators. We are looking for a GTM Engineer to help design and implement scalable Revenue Operations systems, outbound infrastructure, and automation workflows for high-growth B2B SaaS companies. In this role, you will work at the intersection of RevOps, outbound growth, data infrastructure, and AI-powered automation. You will collaborate with founders, sales leaders, and RevOps teams to design and execute modern go-to-market strategies. Key Responsibilities GTM Strategy & Play Design Recommend and implement outbound GTM plays tailored to each client’s ICP and growth stage Advise clients on sales tech stack selection and automation tools Build lead allocation systems to distribute prospects across sales teams efficiently TAM Mapping & Data Infrastructure Build ICP models using firmographic, technographic, and behavioral signals Map Total Addressable Markets (TAM) and prioritize high-value accounts Implement signal tracking systems using first-party and third-party data sources Identify decision-makers and buying committee members within target accounts Clay & Data Enrichment Build advanced Clay workflows for data enrichment and account research Implement AI-driven enrichment pipelines to automate manual research Create automation workflows using tools such as Clay, APIs, and workflow automation platforms Develop account scoring systems to prioritize high-intent prospects Outbound Campaign Development Build personalized multi-channel outbound campaigns across email and LinkedIn Create scalable outbound sequences while maintaining personalization Analyze campaign performance and iterate based on results and client feedback Client Communication & Collaboration Participate in weekly client calls to discuss strategy and performance Collaborate internally using Notion, Slack, and documentation tools Contribute to internal GTM playbooks and process documentation Deliver performance reports and growth recommendations Requirements Must Have 2 - 4+ years of experience in Sales, RevOps, Sales Operations, BizOps, or GTM Engineering Experience working in B2B SaaS, startups, or agencies Strong working knowledge of Clay Curiosity about AI tools, automation, and growth experimentation Strong problem-solving mindset and ability to learn quickly Fluent English communication skills Nice to Have Experience with HubSpot or Salesforce CRM systems Experience with workflow automation tools such as n8n Experience working with sales automation or outbound tooling Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 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: Philippines Workplace: remote Contract Type: Freelance Language: English (Philippines)   About the Role  We are seeking a detail-oriented AI Data Quality & Annotation Specialist to help develop and evaluate large language models (LLMs). Your role will involve reviewing English language content to assess sentiment accuracy, factual consistency, and reasoning quality using structured guidelines. This position is ideal for individuals with sharp analytical skills, attention to detail, and the ability to consistently apply labeling standards.    What You Will Do:  - Review and label content for sentiment, factual accuracy, and reasoning issues.  - Evaluate model outputs across quality dimensions using scoring frameworks.  - Validate automated assessments and identify discrepancies or errors. Requirements: Advanced English proficiency (reading and writing) with professional-level fluency. Strong comprehension and articulation skills, with the ability to provide clear and well-reasoned written justifications. Previous experience in data annotation, AI training, or related projects. Preferred experience in analytical fields such as linguistics, journalism, research, or similar domains. Exceptional attention to detail and accuracy. Proven analytical reasoning and critical thinking abilities. Consistency in decision-making across high volumes of tasks. Familiarity with AI systems, large language models (LLMs), or evaluation processes (preferred but not required).

Location: South Africa; Mexico; Colombia; Panama; Brazil; Argentina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary As a Senior Client Revenue Manager , you will own the full post-sale lifecycle for a portfolio of 10–20 strategic client accounts. This role sits at the intersection of client strategy, campaign performance analysis, and revenue expansion . You will act as the strategic advisor for each client—leading weekly calls, interpreting campaign data, recommending improvements, and identifying expansion opportunities before the client asks for them. Key Responsibilities Client Relationship & Revenue Ownership Own Net Revenue Retention (NRR) across a portfolio of 10–20 accounts, including retention, expansion ARR, and upsell pipeline. Lead structured weekly client calls with clear agendas, performance reviews, and strategic recommendations. Build strong executive-level relationships with founders, CROs, and revenue leaders. Identify and close expansion opportunities , including additional campaigns, upgraded service tiers, and new use cases. Ensure renewals and expansions feel like natural next steps rather than last-minute conversations. Campaign Intelligence & Strategic Guidance Analyze outbound campaign performance and translate data into clear strategic recommendations . Monitor trends such as reply rates, sequence fatigue, ICP targeting drift, and deliverability signals. Proactively surface risks or opportunities before clients identify them. Advise clients on ICP refinement, messaging strategy, and outbound sequencing improvements . Evaluate AI-generated insights and convert them into client-ready strategic recommendations. Tech Stack Fluency & Internal Coordination Operate daily within HubSpot and Airtable for campaign monitoring, client health tracking, and account documentation. Translate client needs into actionable briefs for internal execution teams. Maintain accurate records of campaign status, health scores, and expansion signals. Use AI tools for call preparation, strategy analysis, and communication drafting. Onboarding & Client Development Lead onboarding for new clients, setting expectations and establishing operational cadence. Run Quarterly Business Reviews (QBRs) that connect campaign performance with revenue outcomes. Help clients evolve their outbound programs toward more advanced targeting, messaging, and pipeline strategies. Guide clients toward stronger pipeline performance through continuous strategic optimization. Requirements Non-Negotiable Agency or consultancy client management experience with ownership of strategic client relationships. Proven experience managing and growing high-value accounts with revenue responsibility . Strong ability to lead executive-level conversations with founders, CROs, and senior revenue leaders. Campaign data literacy , including the ability to interpret performance trends and derive strategic insights. Hands-on experience using CRM and operational tools such as HubSpot and Airtable . Demonstrated ability to use AI tools (Claude, Gemini, or similar) as part of a daily professional workflow. Excellent strategic communication skills with the confidence to challenge assumptions and guide decision-making. Strong Preference Background in outbound sales, demand generation, or pipeline development programs . Experience working with outbound sequencing or automation tools. Familiarity with workflow automation platforms such as Clay, n8n, or similar tools . Experience managing international clients or distributed teams . Previous involvement in building client success playbooks, onboarding frameworks, or scaling CS operations . Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 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: Russia; Belgrade, Serbia; Tbilisi, Georgia; Kazahstan, Kazakhstan; Lagos, Nigeria We are scaling our SME Lending direction and looking for a Product Manager - Lending Lead who can own the product end-to-end and drive measurable growth from day one. This role requires someone hands-on, data-driven, and commercially sharp — with real experience in building and scaling digital lending products for B2B / SME clients. We expect first tangible outcomes within 6–8 weeks . What You’ll Do Own the SME Digital Lending product lifecycle end-to-end Improve risk models, approval flows, and credit decision logic Optimize acquisition and distribution channels Drive portfolio growth while balancing risk and profitability Prioritize based on data, unit economics, and business impact Work closely with Risk, Data, Engineering, Operations, and Commercial teams Adapt proven international lending practices to the Nigerian market Requirements 4–7 years of Product Management experience Strong background in lending for SME / B2B clients Experience in international markets (Europe, LatAm, SEA, USA, UK, Russia, etc.) Solid understanding of risk frameworks, scoring, underwriting, and portfolio metrics Proven track record of scaling lending products Strong stakeholder management skills Highly data-driven decision-making approach Fluent English Benefits Remote work from anywhere in the world Performance bonus, 25+ paid vacations and day-offs, personal development plan Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Implement Go-to-Market software for our marketing, sales, and agent development teams - Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation - Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources - Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand - Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models - Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change - Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts) WHAT YOU'LL BRING - 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company - Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone - Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time - Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale - Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems - Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel - Owner's mindset: You take accountability from code to deployment to adoption, define scope with minimal direction, and ship good solutions over perfect ones EVEN BETTER… - Built applications using LLMs, ideally with exposure to production-grade AI/ML systems - Developed custom Salesforce solutions using apex classes, apex triggers, LWC, SLDS - Integrated salesforce with other business systems using REST/SOAP APIs, Platform Events, and External Services OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Proficient in mainstream cloud computing and big data technologies such as Hadoop, Hive, Flink, YARN, Elasticsearch (ES), Kafka , etc. Expert in real-time big data processing using Flink , with solid experience in Flink SQL development . Build and optimize offline and real-time data pipelines to ensure data timeliness and accuracy . Independently manage end-to-end business requirements , responsible for the R&D design and construction of the online (customer-facing) product data pipeline , including performance optimization , and empower business growth through data products and services . Requirements: Bachelor’s degree or higher from an accredited university in Computer Science or a related field. 3+ years of experience independently handling end-to-end business requirements , with strong self-motivation, a high sense of responsibility, excellent communication and teamwork skills, and a passion for continuous learning and self-challenge. Proficiency in both English and Chinese (listening, speaking, reading, and writing) . Familiar with data warehouse modeling , with successful experience in designing and refactoring large-scale data warehouses . Mastery of multiple big data architectures, especially Alibaba Cloud DataWorks/MaxCompute , AWS Spark , Databricks , and StarRocks/Doris . In-depth understanding of real-time processing, expert in Flink performance tuning and stress testing , and Flink source code reading experience is preferred. Preferred Qualifications: IELTS score of 7 or above in all four components. 3+ years of work experience in English-speaking regions. Experience in cross border e-commerce , and familiarity with multi-country, multi-language architectural design is a plus. Solid foundation in Java , with backend development experience . 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: Montreal Workplace: onsite ABOUT YOU   We are looking for a Tech Lead to drive the technical direction, architecture, and delivery of Xsolla’s fraud prevention and risk systems. This role requires deep fintech and payments experience, strong understanding of Anti-Fraud Systems (AFS), and the ability to lead engineers building high-throughput, low-latency, decision-critical systems.   You will work closely with Product, Data Science, Risk Operations, Compliance, and Platform teams to design and evolve fraud detection, prevention, and investigation capabilities at global scale.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Technical Leadership & Architecture Own the technical vision and architecture of Xsolla’s anti-fraud platform and services. Design scalable, resilient systems for real-time transaction risk scoring , rule engines, and decision workflows. Lead architectural decisions around AFS integrations , internal fraud engines, and third-party providers. Ensure systems meet performance, reliability, security, and compliance requirements. Fraud & Fintech Domain Leadership Translate fraud and risk requirements into robust technical solutions. Partner with Risk, Payments, and Compliance teams on: Transaction monitoring, Chargeback reduction, AML / KYC-adjacent workflows (where applicable), and Regulatory and scheme requirements (Visa, Mastercard, etc.) Evaluate and evolve fraud strategies across: Card-not-present transactions, Alternative payment methods, Digital goods and gaming-specific fraud vectors Engineering Execution: Lead a team of engineers (directly or as a technical lead across squads), Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, and Incident response and root cause analysis Balance speed, risk, and quality in a high-impact domain. Collaboration & Influence: Work cross-functionally with Product Managers, Data Scientists, and Operations Mentor senior and mid-level engineers in both technical depth and domain expertise . Act as a technical escalation point for complex fraud-related incidents. Qualifications & Skills: 8+ years of professional software engineering experience, with significant time in fintech or payments . Proven experience designing or leading Anti-Fraud Systems (AFS) , such as: Rule engines, Risk scoring pipelines, and Decision orchestration systems Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar). Experience building high-volume, low-latency distributed systems . Deep understanding of Event-driven architecture, APIs and integrations, Data stores used for real-time decisioning, and Domain Expertise Hands-on experience with fraud prevention in: Payment processing, Digital commerce or marketplaces, and Gaming or virtual goods (strong plus) Understanding of fraud patterns, abuse vectors, and mitigation techniques. Familiarity with: Chargebacks and dispute flows, 3DS, risk exemptions, and payment scheme rules, and Working with external fraud vendors and tools Proven ability to lead technically without relying solely on formal authority. Strong decision-making skills in ambiguous, high-risk domains. Excellent communication skills, able to explain complex technical and fraud concepts to non-technical stakeholders. Comfortable owning outcomes in a mission-critical area. Nice to Have: Experience working with data science or ML-driven fraud models. Knowledge of AML, KYC, or regulatory frameworks. Prior experience in global payment platforms or PSPs. Experience operating systems at global scale (multiple regions, currencies, and regulations) . Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Tech Lead, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.