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Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. About this role Our website is one of the most important ways people discover what we offer, understand our value, and decide whether to talk to Sales or start a trial. The Web Growth team owns its roadmap and continuously improves the journey from first impression through to lead capture, demo engagement, signup, and trial start. You’ll treat the website like a product: understand user intent, find confusion and friction, form strong hypotheses, test them with users and data, and turn what you learn into better experiences. You’ll be just as comfortable shaping the problem and influencing the roadmap as you are designing the final interaction, prototype, or page. What you’ll be doing Experimentation: Designing and iterating on experiments across landing pages, pricing, signup, and conversion flows to improve engagement, conversion, qualified leads, and trial starts. Collaboration: Working with Growth, Self-serve, Brand, Marketing, Product, Data, Research, and Engineering to turn opportunities into clear, buildable experiences. Data and insight: Using user insights and funnel data to identify opportunities, define hypotheses, and measure impact. Product design: Applying product design thinking to comprehension, navigation, forms, interactive demos, responsiveness, and accessibility. Prototyping and systems: Prototyping in Figma and code, using AI tools where useful, and working within shared components and brand systems. Roadmap ownership: Bringing ideas to the Web Growth roadmap, not just executing briefs. Must have experience Experience: 5+ years in web, product, growth, or a closely related design role, with a strong portfolio of shipped, conversion-focused work. Growth mindset: A track record of using design, growth frameworks, conversion rate optimisation, and funnel analysis to improve outcomes such as leads, conversion, trials, activation, or revenue. Experimentation: Experience designing and iterating on experiments, including A/B tests or other data-informed approaches. B2B SaaS experience is a plus. Craft and taste: Excellent visual and interaction design skills, with a sharp eye for typography, hierarchy, detail, and polish. Systems and brand: Comfortable working within an existing design system and brand, while identifying opportunities to extend and improve it. AI fluency: Experience using AI in your design practice, including tools such as Claude Code, Cursor, Codex, Figma Make, or similar. You should be able to explain how AI has changed your workflow and what you have built or shipped with it. Ownership: Able to take a brief and run with it. You work independently, make good decisions, ask the right questions, and bring solutions rather than just options. Who this role is not for This role is not for you if: You only want to design campaign or marketing pages from a fixed brief. This role owns the journey from first visit through to lead, demo, signup, or trial. You care about visual polish but not about comprehension, navigation, forms, interactive demos, or reducing friction. You don’t want to work with funnel data, user research, experimentation, or the realities of implementation. You want to focus on brand expression without balancing it with usability, accessibility, performance, and measurable growth. You need a fixed roadmap and detailed requirements rather than identifying opportunities and shaping what the team should test next. You’re not interested in working closely with Growth, Marketing, Product, Data, Research, and Engineering to make the website perform better. What success looks like You’ll know you’re successful if: More visitors understand Fin and Intercom, find the right path for their needs, and take the next step with less friction. You’ve improved meaningful growth outcomes across qualified leads, demo engagement, signups, and trial starts. Experiments are well designed, clearly measured, and used to inform what the team does next. You’ve made complex product value easier to understand and act on without relying on extra explanation from Sales or Marketing. You’ve built strong working relationships with Growth, Marketing, Product, Engineering, Data, Research, Sales, and Customer Success. You’ve raised the bar for web growth design through thoughtful, high-quality experiences that people trust and want to use. Interview process We understand that interviewing for a new role is both time- and energy-consuming. We aim to be thorough, speedy, and transparent in our approach. You should expect the entire process to take no more than four weeks from start to finish. You’ll meet with members of our team and have the opportunity to validate that Intercom and the role are the right fit for you. Ready to build something great? If you’re excited by the opportunity to help existing businesses get more value from a self-serve product, and you have the craft, curiosity, commercial thinking, and autonomy to make a real impact, we’d love to hear from you. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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 THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1,5 hour) - Tech interview (1,5 hour) - Final interview (30 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

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 THIS ROLE MEANS AT HIGGSFIELD Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs. We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job. You own the question of who is taking value they did not pay for, and the system that stops them. You make sure: - We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss - Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong - The difference between fraud and unprofitable pricing is a number we can defend, not a vibe - When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review WHAT YOU WILL DO Detection & scoring - Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays. - Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars. - Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers. - Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal. Entity resolution & ring detection - Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures. - Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost. - Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away. Enforcement, policy & the cost of being wrong - Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence. - Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong. - Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back. - Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do. Measurement & adversarial monitoring - Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current. - Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth. - Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week. - Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it. Making it usable - Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned. - Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard. - Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax. WHO WE'RE LOOKING FOR - Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours. - Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless. - Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model. - Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence. - Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system. - Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto - Trust & safety and platform-integrity teams who owned detection and enforcement policy - Growth or product data scientists who ended up owning promo-abuse because nobody else would - Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build content-moderation or NSFW classification — that is a different function here - Would ship a ban list without knowing its precision - Optimize AUC on a label set your own enforcement created, and call it validated - Need a labelled fraud dataset to exist before you can start - Treat every negative-margin account as an abuser - Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them - 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) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

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 THIS ROLE MEANS AT HIGGSFIELD We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three. We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us. We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border. We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all. You own the measurement and the argument behind fixing all of it. You make sure: - We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute - Every basis point of payment cost has a name, a geography and an owner - A decline is a diagnosis, not a statistic - When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's WHAT YOU WILL DO Authorization & decline analysis - Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method. - Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them. - Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing. - Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool. Cost of acceptance - Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces. - Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic. - Build the evidence for commercial conversations with our processor, and keep it current enough to reuse. Local payment methods, entities and routing - Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover. - Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege. - Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch. Renewals, dunning and involuntary churn - Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop. - Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes. - Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage. Disputes, refunds and reconciliation - Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you. - Reconcile processor data to the revenue ledger and explain the differences rather than plugging them. - Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction. HOW WE WORK - SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax. - Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly. WHO WE'RE LOOKING FOR - 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough. - Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC. - Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right. - Python at working level for analysis. - The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question. - Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn. - Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living. - Clear written and spoken English, B2+. Backgrounds that often do well: - Payment operations or payments analytics at a consumer subscription, marketplace or gaming company - Analysts from PSPs, acquirers, orchestration platforms or card networks - Billing / revenue operations analysts who owned dunning and involuntary churn - Risk or chargeback analysts who moved toward the acceptance side WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to own checkout UX or pricing — that is Product Analyst, and it is open - Want to build fraud models — that is the Antifraud data scientist, and it is open - Would report an authorization rate without saying what the denominator was - Would take a processor's own analysis of their own performance at face value - Need someone else to prepare the data - 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) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Задачи: — Управлять всей маркетинговой системой: реклама → сайт → конверсия → продажи → аналитика — Работать с Meta Ads, Google Ads, TikTok Ads, SEO, email-маркетингом (Klaviyo), PR, развивать органический трафик в социальных сетях и тестировать другие каналы привлечения и роста — Снижать стоимость привлечения клиента и находить новые точки роста — Анализировать воронку и повышать конверсию сайта — Формировать и тестировать гипотезы — Управлять внешними подрядчиками и агентствами Требования: — Опыт в e-commerce и с маркетинговым бюджетом от 50к$ — Реальные кейсы роста и масштабирования — Успешный опыт работы с американским рынком — Мыслит цифрами и понимает unit-экономику — Свободное владение английским — Руководил командой маркетинга 10+ человек Условия: — Удалённая работа с рынком США — Прямое взаимодействие с собственником — Возможность построить и возглавить маркетинг — Высокая степень свободы и влияния на решения — Быстрый профессиональный рост — Бонусы за результат, привязанные к эффективности маркетинга

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   Kraken's Compliance Operations teams, including the Financial Intelligence Unit (FIU), investigations and enhanced due diligence, are the front line of how Kraken detects and responds to financial crime. The systems they run on sit within Core Services Product, alongside the engineering teams who build them. That covers alert ingestion, case management, investigator tooling and a growing set of automation and AI tools.   This role owns the product for that investigation platform. That means how an alert is created, enriched, grouped and suppressed. How it becomes a case. How an investigator reaches and documents a decision. And how every step is evidenced to a regulator or auditor. You'll start with the FIU, where the workflows are most complex and the audit bar is highest, then extend the platform across Compliance Operations.   THE OPPORTUNITY - Own the investigation-platform roadmap end to end. Sequence it and defend it, and re-sequence it when a regulator or the RCO raises a P0. - Define "done" before build starts. Write phased deliverables and acceptance criteria that Compliance signs off, and hold the line when scope moves. - Get requirements in before engineering starts. Build the intake between Compliance policy, monitoring rules and case management so that changes don't reach investigators before their workflows are ready. - Understand the process before building. Reconcile policy and SOPs against what investigators actually do and what the system actually does. Know the difference between a process fix and a technical one, and say which requests are in scope for engineering. - Understand the pipeline well enough to challenge it: ingestion, profile and transaction resolution, suppression and grouping logic, and reconciliation between vendor output and case management. Be able to walk an auditor through it with live examples. - Make auditability a first-class requirement: audit trail, data lineage, evidence retention, reviewer attribution, change-management controls, and validation of filtering and suppression logic. - Ship automation and AI into regulated workflows with controls that hold up in Compliance, IT and privacy audits. That means human-in-the-loop design, explainability and ongoing monitoring. - Run the operating rhythm: a shared forum with engineering and adjacent product managers, a regular stakeholder update, and one delivery status that everyone reads the same way.   WHAT YOU BRING - 4+ years of product management, including 2+ years on financial-crime systems such as transaction monitoring, investigations, case management, KYC/EDD or sanctions screening. - Working knowledge of how an AML programme is examined, including the questions regulators, internal audit and model validation ask about monitoring, filing and control systems. - The technical fluency to go deep on data flows and system design with engineers, and to spot when a design won't meet the requirement. - A track record of shipping internal tools or operational platforms that measurably changed how an operations team works. - Clear, concise writing, from PRDs and phase plans to audit walkthroughs and executive updates. - The judgement to tell a senior stakeholder a timeline isn't realistic because the requirements aren't written yet, and to keep the relationship intact.     NICE TO HAVES - Direct FIU experience, such as alert disposition, SAR/STR filing or leading investigators. - Crypto or digital-asset experience, such as blockchain analytics, wallet-level transaction analysis or focal vs counterparty logic. - Experience shipping AI or ML into a regulated investigative workflow, including the control design. - Build-vs-buy and vendor evaluation for monitoring or case-management tooling. - Experience with programmes that span jurisdictions (UK, EU/MiCA, US).       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   Kraken's Compliance Operations teams, including the Financial Intelligence Unit (FIU), investigations and enhanced due diligence, are the front line of how Kraken detects and responds to financial crime. The systems they run on sit within Core Services Product, alongside the engineering teams who build them. That covers alert ingestion, case management, investigator tooling and a growing set of automation and AI tools. This role owns the product for that investigation platform. That means how an alert is created, enriched, grouped and suppressed. How it becomes a case. How an investigator reaches and documents a decision. And how every step is evidenced to a regulator or auditor. You'll start with the FIU, where the workflows are most complex and the audit bar is highest, then extend the platform across Compliance Operations.   THE OPPORTUNITY - Own the investigation-platform roadmap end to end. Sequence it and defend it, and re-sequence it when a regulator or the RCO raises a P0. - Define "done" before build starts. Write phased deliverables and acceptance criteria that Compliance signs off, and hold the line when scope moves. - Get requirements in before engineering starts. Build the intake between Compliance policy, monitoring rules and case management so that changes don't reach investigators before their workflows are ready. - Understand the process before building. Reconcile policy and SOPs against what investigators actually do and what the system actually does. Know the difference between a process fix and a technical one, and say which requests are in scope for engineering. - Understand the pipeline well enough to challenge it: ingestion, profile and transaction resolution, suppression and grouping logic, and reconciliation between vendor output and case management. Be able to walk an auditor through it with live examples. - Make auditability a first-class requirement: audit trail, data lineage, evidence retention, reviewer attribution, change-management controls, and validation of filtering and suppression logic. - Ship automation and AI into regulated workflows with controls that hold up in Compliance, IT and privacy audits. That means human-in-the-loop design, explainability and ongoing monitoring. - Run the operating rhythm: a shared forum with engineering and adjacent product managers, a regular stakeholder update, and one delivery status that everyone reads the same way.   WHAT YOU BRING - 4+ years of product management, including 2+ years on financial-crime systems such as transaction monitoring, investigations, case management, KYC/EDD or sanctions screening. - Working knowledge of how an AML programme is examined, including the questions regulators, internal audit and model validation ask about monitoring, filing and control systems. - The technical fluency to go deep on data flows and system design with engineers, and to spot when a design won't meet the requirement. - A track record of shipping internal tools or operational platforms that measurably changed how an operations team works. - Clear, concise writing, from PRDs and phase plans to audit walkthroughs and executive updates. - The judgement to tell a senior stakeholder a timeline isn't realistic because the requirements aren't written yet, and to keep the relationship intact.     NICE TO HAVES - Direct FIU experience, such as alert disposition, SAR/STR filing or leading investigators. - Crypto or digital-asset experience, such as blockchain analytics, wallet-level transaction analysis or focal vs counterparty logic. - Experience shipping AI or ML into a regulated investigative workflow, including the control design. - Build-vs-buy and vendor evaluation for monitoring or case-management tooling. - Experience with programmes that span jurisdictions (UK, EU/MiCA, US).       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Мы геймдев-студия, которая строит собственную вселенную в стиле Minecraft: без ограничений по контенту и с новыми механиками, недоступными в оригинале. Продукт выходит на стадию масштабирования: сейчас 100 000+ установок, растущая аудитория и ниша, которая даёт сотни тысяч установок в месяц. Твои задачи: — Масштабирование мобильной игры на Tier-1 и Worldwide с положительной экономикой (ROMI / ROAS); — Управление медиа-бюджетами от $50 000 в месяц; — Закупка в Google Ads, Meta Ads (FB), TikTok Ads, in-app; — Работа с iOS post-ATT: SKAN 4.x, AEM, конверсионные модели, настройка postbacks; — Понимание и ведение unit-экономики на всех этапах воронки. Для нас важно: — Опыт работы 2-5 лет; — Подтверждённый опыт масштабирования мобильных игр на Tier-1 рынках с положительной экономикой; — Управление медиа-бюджетами от $50 000 в месяц — без этого не рассматриваем; — Глубокая экспертиза в Google Ads, Meta Ads, TikTok Ads, in-app; — Реальное понимание iOS post-ATT: SKAN 4.x, AEM, конверсионные модели, postbacks; — Понимание unit-экономики на всех этапах воронки; — Опыт закупки в сетях, на весь мир; — Опыт производства креативов; — Полная самостоятельность и инициативность; — Высшее образование — любое, без вышки не рассматриваем. Что мы предлагаем: — Зарплата в валюте или крипте: работаем так, как удобно тебе; — Бюджеты без потолка — если видим результат; — Высокую автономию в решениях — никакой бюрократии; — Гибкость 24/7: полная удалёнка из любой точки мира; — Гибкое начало рабочего дня — работаем пятидневку; — Возможность реализовать свои идеи в игре с перспективами роста.

Задачи: — Разрабатывать микросервисы на Java и Spring Boot — Проектировать REST API и интеграции с внешними системами — Работать с PostgreSQL, проектировать схемы и оптимизировать SQL-запросы — Развивать и рефакторить существующий код, включая legacy-компоненты — Использовать Kafka или RabbitMQ для обмена сообщениями — Писать unit- и интеграционные тесты, проводить code review — Участвовать в архитектурных обсуждениях, декомпозиции и оценке задач — Работать по Agile/Scrum совместно с аналитиками, тестировщиками и DevOps Требования: — Коммерческая разработка на Java от 3 лет для Middle и от 6 лет для Senior — Уверенное знание Java 8, 11 или 17 и Spring Boot, Data, Security, MVC — Практика разработки микросервисов и REST API — Уверенная работа с PostgreSQL и SQL, включая оптимизацию запросов — Знание Kafka или RabbitMQ — Навыки работы с Docker, Kubernetes, Git и CI/CD — Написание unit-тестов с JUnit и Mockito — Понимание ООП, SOLID и принципов чистого кода — Умение декомпозировать задачи, оценивать трудоёмкость и технические риски Будет плюсом: — Проекты в банковской, финтех-, страховой сфере или промышленности — Знание Kotlin — Работа с MongoDB или Redis — Знакомство с Prometheus, Grafana, ELK или Elasticsearch — Использование Camunda, Liquibase или Flyway — Разработка высоконагруженных систем — Английский на уровне чтения технической документации Условия: — Подработка — Оформление: Договор ГПХ с ИП, с физлицом — График: 5/2 — Формат работы: удалённо

О компании и команде Компания IT_One — стратегический партнер по цифровизации российского бизнеса и государственных органов. Команда реализует крупнейшие проекты цифровой трансформации. В компании более 2500 сотрудников, офисы в Москве, Санкт-Петербурге и Омске. Задачи: — Проектирование чистой архитектуры приложений — Глубокий рефакторинг существующей кодовой базы — Оптимизация производительности на стыке PHP, MSSQL и очередей сообщений — Обеспечение технологического качества продукта ВЗР Требования: 1. Архитектурные навыки и культура кода (экспертный уровень): — Глубокое понимание и практическое применение паттернов и принципов: GoF, SOLID, DRY, KISS, YAGNI — Уверенные навыки декомпозиции монолитов, устранения технического долга и рефакторинга сложного кода без нарушения бизнес-логики — Умение писать легко поддерживаемый и тестируемый код — Опыт проектирования систем с использованием DDD, CQRS и Hexagonal Architecture 2. Backend стек (PHP и фреймворки): — PHP 8.x: глубокие знания движка PHP — Фундаментальное понимание управления памятью в PHP (Zval, Garbage Collection, подсчет ссылок, memory leaks в долгоживущих процессах, оптимизация потребления памяти при обработке сложных массивов данных) — Экспертное владение Symfony 7.4+ и Laravel, понимание внутреннего устройства контейнеров зависимостей (DI), жизненного цикла запроса, работы с Event Component, пакетами и кастомными Artisan/Console командами 3. Работа с данными и СУБД (уровень T-Shaped / DBA-like): — Глубокие знания T-SQL и MS SQL Server: написание сложных, оптимизированных запросов, хранимых процедур, триггеров и обобщенных табличных выражений (CTE) — Оптимизация производительности БД: понимание принципов построения и работы индексов (кластеризованные, некластеризованные, покрывающие, фильтруемые) — Профайлинг и анализ: чтение и анализ планов выполнения запросов, выявление узких мест (Table Scan, Index Scan vs Seek), борьба с взаимными блокировками (Deadlocks), оптимизация уровней изолированности транзакций 4. Асинхронное взаимодействие и DevOps стек: — Apache Kafka: опыт построения событийной архитектуры (EDA), понимание работы продюсеров/консьюмеров, гарантированной доставки сообщений (At-least-once, Exactly-once), идемпотентности обработчиков, работы с партициями и репликацией — Docker и Kubernetes: уверенное владение контейнеризацией, понимание принципов работы приложений в Kubernetes (поды, сервисы, деплойменты, конфигурация маппинга памяти и CPU, чтение логов, механика liveness/readiness probes для PHP-FPM и Kafka-воркеров) 5. Тестирование и инструменты: — Покрытие кода качественными тестами (PHPUnit) — Понимание разницы между Unit, Integration и E2E тестами — Навыки написания mock-объектов — Опыт работы с инструментами анализа производительности и утечек памяти (Blackfire, Xdebug, Profiler) Условия: — Официальное трудоустройство по ТК РФ в аккредитованную IT компанию, белая заработная плата — ДМС после испытательного срока — Удаленная работа на территории РФ — Корпоративное обучение и сертификация, возможности профессионального развития и карьерного роста — Внутренние профессиональные сообщества и митапы для обмена опытом — Программа корпоративных скидок и привилегий (Best Benefits) — Доступ к спортивной платформе FitStars — Совместные активности и мероприятия (вечера настольных игр, random coffee, книжный, шахматный клубы, беговой клуб в летний сезон) и другие well-being активности

Задачи: — разработка и поддержка микросервисов на Go — участие в проектировании архитектуры новых сервисов и микросервисных систем — обеспечение масштабируемости, отказоустойчивости и производительности сервисов — работа с базами данных — написание unit-тестов — code-review — внедрение AI-инструментов — участие в оценке трудоемкости задач Требования: — опыт коммерческой разработки на Go от 3 лет — глубокое понимание языка Golang — опыт работы с PostgreSQL — опыт работы с Apache Kafka — опыт написания unit-тестов — уверенная работа с Docker — опыт работы с Kubernetes — опыт работы в команде с Git Будет плюсом: — опыт использования AI-агентов для разработки (автодополнение, генерация тестов, рефакторинг) — знание OpenSpec — написание и применение спецификаций для автоматической генерации кода и документации

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, 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 Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. 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! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. 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: 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 Opportunity Our mission is to drive user growth and engagement across global markets by building a scalable growth platform — the shared campaign engine, task and incentive systems, loyalty programs, and ToB operational tooling that power growth for every business line at OKX — and by unlocking acquisition through diversified channels including SEO, ASO, affiliate, referral, and paid. As the Growth Platform Product Lead, you will own the product vision and roadmap for our growth middle-platform, lead a team of product managers, and act as the central partner to business, channel, and regional stakeholders who rely on the platform to hit their growth targets. This is a leadership role for someone who has built growth infrastructure at scale and knows how to turn a fragmented set of campaign tools into a unified, self-serve growth system. What You’ll Be Doing Own the Growth Platform Strategy Define the multi-year vision and roadmap for the growth middle-platform: campaign engine, task/mission system, rewards and incentive infrastructure, loyalty and tiering, user segmentation and targeting, and the ToB configuration and analytics layer that operators use daily. Set platform standards for reusability, configurability, and time-to-launch so that new growth activities can be shipped by business teams without bespoke engineering. Balance platform investment against business-line requests, and make clear, well-communicated prioritization calls. Build the Platform Lead the design and delivery of ToC growth products (campaigns, tasks, mega sales, loyalty) and the ToB capabilities behind them (campaign configuration, rules engine, budget and risk controls, reporting). Drive experimentation infrastructure and growth analytics so that every campaign is measurable, comparable, and optimizable. Leverage AI tools and automation to shorten experimentation cycles, surface insights faster, and scale growth operations with fewer manual touchpoints. Enable Channel Growth Partner with channel owners across SEO, ASO, referral, affiliate, and paid to translate channel-specific funnel needs into platform capabilities. Identify high-leverage channel opportunities and build the platform features that amplify channel performance across markets. Manage Stakeholders Across the Organization Serve as the single point of accountability for the growth platform with Trading, Listing, Paid Ads, Content, Affiliate, Referral, regional growth teams, and risk/compliance. Establish intake, prioritization, and governance processes that keep dozens of concurrent stakeholders aligned and informed. Influence senior leadership on platform investment, trade-offs, and sequencing; resolve conflicts between business urgency and platform integrity. Lead and Grow the Team Manage, coach, and develop a team of product managers; set clear goals, review work quality, and build a high-performance culture. Raise the bar on PM craft across the team: problem framing, data literacy, spec quality, and cross-functional execution. What We Look For In You 5+ years of product management experience , including 2+ years managing product managers and owning a multi-quarter roadmap. Deep growth middle-platform experience : you have designed and shipped a campaign engine, task/mission system, incentive or rewards platform, loyalty program, or comparable shared growth infrastructure that served multiple business lines. Proven platform thinking : track record of consolidating scattered, one-off growth tools into a reusable, configurable, self-serve system, and of measuring the efficiency gains that resulted. Exceptional stakeholder management : demonstrated ability to run intake and prioritization across many competing internal customers, manage up to executive leadership, and hold the line on platform trade-offs without losing partner trust. Strong data and analytics fluency : comfortable defining campaign and platform metrics, reading experiment results, and using data to settle prioritization debates. Large-scale delivery : experience navigating complex cross-team dependencies in a fast-moving, global organization. High learning velocity : able to rapidly internalize new domains — crypto, regional markets, new channels — and connect product, data, and market signals into actionable strategy. Nice-To-Haves Experience in crypto, fintech, or other regulated consumer products where growth mechanics must satisfy risk and compliance constraints. Hands-on experience with SEO and/or ASO strategy, including keyword optimization, app store listing optimization, and organic growth levers. Experience building ToB operational platforms or internal tooling used by non-technical operators at scale. Experience applying AI/LLM tooling to growth operations, analytics, or PM workflows. 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 .

Задачи: — Разработка мобильных приложений на Android с использованием архитектур MVI и MVP+ Clean. — Проектирование архитектуры приложений. — Работа с дизайн системой и SDUI. — Работа с Jenkins и CI/CD. — Проведение code-review в команде из более чем 3-4 разработчиков. Требования: — Опыт коммерческой разработки мобильных приложений от 3-х лет. — Опыт проектирования архитектуры приложений. — Опыт работы и проектирования дизайн системы. — Опыт работы и проектирования SDUI. — Знание android UI/UX паттернов. — Опыт работы с Unit тестами, UI тестами и screenshot тестами. — Отличные знания Kotlin и Android SDK. — Опыт работы с Dagger 2, RxJava 2. — Знание Kotlin Coroutines и Flow. — Умение работать с git, знакомство с git flow и код-ревью. — Понимание принципов многомодульной архитектуры в Android и MVI. — Опыт работы в продуктовых командах по SCRUM/Kanban. Условия: — Удалённый формат работы (РФ). — Оформление по ТК. — Оплачиваемый отпуск 28 календарных дней в год и оплачиваемые больничные. — Предоставление техники (MAC, Windows). — ДМС. — Компенсация хобби, спортзала и английского языка. — Компенсация профессионального обучения. — Возможность участия во внутренних программах компании и активностях, например, в реферальной программе «приведи друга».

Задачи: — разработка на платформе BPMSoft Требования: — опыт разработки на платформе BPMSoft — знание паттернов проектирования и умение применять их на практике — опыт проектирования Web-запросов (входящих, исходящих): SOAP, REST — умение работать с системами контроля версий (Gitlab), понимание специфики развертывания приложения и опыт настройки веб-серверов для системы — опыт работы с PostgreSQL (джойны, оконные функции, планы запросов, индексы, профайлер и т.д.) — опыт разработки unit-тестов Будет плюсом: — градации и сертификация в зависимости от опыта: специалист (middle): опыт 2-5 лет + действительный сертификат BPMSoft Продвинутый ведущий (senior): опыт > 5 лет + действительный сертификат BPMSoft Продвинутый Условия: — оформление по ИП — ставка: почасовка 1100-1200 р/час — занятость: full-time

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 Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues, including both Cefi and Defi venues, strategy services for automated pricing and trading bots, high-frequency data capturing and analysis, and state-of-art micro frontend for trading management. On top of all these infrastructures, we build highly customized strategies to facilitate crypto liquidities. If you are a strong technologist who is excited about the potentials of crypto trading, interested in fully-automated algo bots, we should talk. We are looking for a Java Software Engineer for Liquidity Platform Structured Product Engineering Team. During your tenure with us, you will be working closely with a liquidity manager for strategy development using an in-house build strategy toolkit. You will demonstrate and develop professional capabilities in the following areas: managing inventory & risk of applications, strategic thinking and problem solving, collaborating with product managers, engineers and liquidity managers, effective communication. What You’ll Be Doing Work closely with team technical lead, liquidity managers and product managers on strategy discussion and technical solution design. Work with team to own the strategy production environment for both feature buildout and infra upgrade for better performance. Continuously and proactively improve strategies to be more stable, scalable and robust with auto recovery ability for 24x7 crypto trading style. Run projects by maintaining a deep underlying of the technical infrastructure and a holistic view of the product and business What We Look For In You Solid STEM (Science/Technology/Engineering/Mathematics) education background. Passionate in the Crypto industry and with strong problem solving skills. Solid knowledge in structured products business or volatility trading is a plus. Hands-on experience in AI development is preferred. 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 .

Задачи: — развитие клиентского frontend и admin panel — проектирование и реализация новых фич end-to-end: от технического решения до релиза — работа с React, TypeScript, Node.js — SSR, prerendering, BFF — интеграции с Go-backend — WebSocket, SSE — white-label / multi-theme архитектура — runtime config, design tokens — unit и integration tests — code review и участие в технических решениях Требования: — 3-4+ года коммерческой разработки — сильный React и TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux, Zustand, MobX или аналоги — понимание HTTP, REST, базовые знания SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение проектировать решения, читать и ревьюить чужой и AI-generated code Будет плюсом: — опыт с white-label / multi-tenant продуктами — знание design systems / theme systems — опыт работы с Figma → code / design tokens — знание Go — опыт в fintech, crypto, Web3 — понимание agentic workflows, MCP, AI в CI Условия: — полностью удалённая работа — полная занятость — зарплата $2500-3000 — минимум бюрократии и микроменеджмента — много новых продуктовых задач — влияние на архитектуру и продукт — компания оплачивает AI-инструменты