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Location: Yerevan, Armenia Problem Space Logistics operations today are still largely: manual reactive fragmented across tools running on incomplete or late data full of conflicting constraints under real-time decision pressure driven by evolving business rules a mix of legacy and new systems Much of this is unstructured: emails, documents, free-text updates, exceptions nobody modelled. That is where AI changes the game. We’re building a system that: ingests real-time operational data, structured and unstructured supports planning and execution decisions, with AI agents that act where it’s safe and hand over to humans where it isn’t adapts to constantly changing constraints What You’ll Work On AI in production. Building LLM- and agent-powered features into production .NET services: tool calling, structured outputs, retrieval over operational data, document and message understanding. The seams. Designing the boundaries between deterministic business logic and probabilistic AI: validation, fallbacks, human-in-the-loop. Trust. Making AI measurable and trustworthy: evals, test sets, observability, guardrails and cost/latency budgets. Ownership. Owning features end to end, from problem framing with product to running them in production. Design Principles keep things simple before scalable prefer explicit logic over magic abstractions, and that includes AI: deterministic where you can, model where you must optimize for change, not perfection (models, prompts and providers will change) measure AI behaviour, don’t trust vibes avoid “framework-driven architecture” accept that some parts will be ugly, temporarily Tech Stack .NET · Vue.js · service-oriented architecture · relational + operational data storage · cloud-based infrastructure · LLM APIs and agent tooling (e.g. Semantic Kernel / Microsoft.Extensions.AI, MCP) · vector/semantic search · eval and tracing tools How We Build AI-native development is the default. You use coding agents (e.g. Claude Code, Copilot) every day. You own what you ship, whoever typed it: you review AI-generated code critically, test it and understand it. What We Expect Strong, senior-level .NET engineering Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems, including when not to use AI Preferring ownership over comfort Strong Plus Having shipped LLM/AI features to production and kept them running Experience with evals, prompt/version management or AI observability Python for prototyping and data work Logistics or other real-time operations domain experience What You Won’t Find Here over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development AI demos that never reach production wrapping a chatbot around a problem and calling it solved

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: Limassol, Cyprus Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a Sales Representative to grow our Microsoft Advertising business with advertisers and agencies across Central and Eastern Europe (CEE), with a focus on Cyprus-based clients. Many of your clients will be Russian-speaking. Most business communication is in English, with advertisers, with colleagues around the world and with the platforms. You won't work alone. The Client Solutions team and the Performance team support you, and together you work toward the best results for each client. You bring in the right advertisers; together, you make them successful. What you'll do Find, approach and sign advertisers, brands, performance agencies and media agencies in CEE, starting with Cyprus-based companies Understand each client's marketing goals and recommend Microsoft Advertising solutions that deliver measurable results Advise clients on campaign planning, digital media strategy and performance Collect product feedback from advertisers and agencies Negotiate agency deals and guide clients through contracts and account setup Research the market, follow competitors, and represent Aleph at industry events Forecast pipeline and revenue weekly, monthly and yearly, and keep the CRM up to date What you need for this role Proven experience in B2B sales or business development, ideally in digital advertising, ad tech or an agency. We care about your experience, not your degree. A good grasp of digital performance metrics. Search advertising experience is a strong plus. Knowledge of the Cyprus business community, or of CEE markets, is a strong advantage Confidence with complex relationships between clients and agencies Strong organization and the ability to handle several priorities at once Practical use of AI tools (for example Copilot, ChatGPT or Claude) to research prospects, prepare proposals and work faster Excellent Russian and English, spoken and written Readiness to work on-site in Limassol. Candidates willing to relocate are very welcome. What will make us really love you You're excited about digital marketing and sales, and it shows You take ownership, solve problems creatively, and never settle for "good enough" You combine drive to close deals with real relationship-building. Clients and colleagues enjoy working with you. You adapt quickly and do well in a fast-moving environment What you'll love about us Grow your career fast. You'll join a global company and work directly with one of the world's largest advertising platforms. Learn constantly. Our training includes Aleph's own programs and training specific to each platform, so your skills grow a lot. Be part of a real team. You'll have Client Solutions and Performance specialists behind every deal. Private health insurance Visa support if you relocate A great place to work. Our office is in Limassol's Old Town, a short walk from the sea. An international team that celebrates creativity, ambition and results In line with the EU Pay Transparency Directive, we are committed to fair and open pay. For this role, the minimum gross annual base salary is EUR 32,480.   On top of the base salary, the role includes a significant variable component based on performance, paid quarterly. The final offer will reflect your experience, skills and the scope of the role.  Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Limassol, Cyprus Workplace: onsite Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a Business Development Manager to grow our Microsoft Advertising business with advertisers and agencies across Central and Eastern Europe (CEE), with a focus on Cyprus-based clients. Many of your clients will be Russian-speaking. Most business communication is in English, with advertisers, with colleagues around the world and with the platforms. You won't work alone. The Client Solutions team and the Performance team support you, and together you work toward the best results for each client. You bring in the right advertisers; together, you make them successful. What you'll do Find, approach and sign advertisers, brands, performance agencies and media agencies in CEE, starting with Cyprus-based companies Understand each client's marketing goals and recommend Microsoft Advertising solutions that deliver measurable results Advise clients on campaign planning, digital media strategy and performance Collect product feedback from advertisers and agencies Negotiate agency deals and guide clients through contracts and account setup Research the market, follow competitors, and represent Aleph at industry events Forecast pipeline and revenue weekly, monthly and yearly, and keep the CRM up to date What you need for this role Proven experience in B2B sales or business development, ideally in digital advertising, ad tech or an agency. We care about your experience, not your degree. A good grasp of digital performance metrics. Search advertising experience is a strong plus. Knowledge of the Cyprus business community, or of CEE markets, is a strong advantage Confidence with complex relationships between clients and agencies Strong organization and the ability to handle several priorities at once Practical use of AI tools (for example Copilot, ChatGPT or Claude) to research prospects, prepare proposals and work faster Excellent Russian and English, spoken and written Readiness to work on-site in Limassol. Candidates willing to relocate are very welcome. What will make us really love you You're excited about digital marketing and sales, and it shows You take ownership, solve problems creatively, and never settle for "good enough" You combine drive to close deals with real relationship-building. Clients and colleagues enjoy working with you. You adapt quickly and do well in a fast-moving environment What you'll love about us Grow your career fast. You'll join a global company and work directly with one of the world's largest advertising platforms. Learn constantly. Our training includes Aleph's own programs and training specific to each platform, so your skills grow a lot. Be part of a real team. You'll have Client Solutions and Performance specialists behind every deal. Private health insurance Visa support if you relocate A great place to work. Our office is in Limassol's Old Town, a short walk from the sea. An international team that celebrates creativity, ambition and results In line with the EU Pay Transparency Directive, we are committed to fair and open pay. For this role, the minimum gross annual base salary is EUR 32,480.   On top of the base salary, the role includes a significant variable component based on performance, paid quarterly. The final offer will reflect your experience, skills and the scope of the role.  Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

About the project: A fast-growing fintech startup providing SaaS solutions for institutional investors. The platform includes advanced solutions for financial analysis, trade flow management and portfolio management. Requirements: — Strong experience with C# / .NET / ASP.NET Core — Solid experience with Angular — Good understanding of SOLID principles and design patterns — Working knowledge of relational databases — Familiarity with Git — Good understanding of UI/UX principles — Experience working in an Agile environment — Strong communication and collaboration skills What we're looking for: — A self-driven engineer passionate about technology — Someone who takes ownership and accountability for their work — Strong attention to detail and a focus on quality — A proactive approach to automation and process improvement — Ability to clearly communicate technical ideas — Comfortable working in a fast-paced, highly collaborative environment — Open to feedback and able to work effectively with both technical and business stakeholders Responsibilities: — Design, develop and maintain components and frameworks for the client's technology ecosystem — Collaborate with internal and external stakeholders to understand application development needs — Research and evaluate new technologies and use cases — Identify inefficiencies and implement appropriate technology solutions — Contribute ideas and improvements to the product and development process

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 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 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: — Участвовать в формировании продуктовой стратегии data platform — Управлять ожиданиями стейкхолдеров и превращать потребности бизнеса в понятные data products, contracts и delivery plans — People Management: составлять планы развития DE, проводить performance review, 1:1, менторинг, дизайн команды и организация найма при необходимости — Работать со всеми стейколдерами команды (аналитики, dx, security, legal) над развитием data pipelines — Участвовать в развитии архитектуры платформы, модели данных — Управлять техническими решениями в продуктовых командах — Искать и реализовывать меры по оптимизации расходов на storage, compute и pipeline execution — При необходимости подключаться к сложным инициативам как staff data engineer Требования: — Опыт разработки по стеку: Python, Hadoop/Spark, Greenplum/Clickhouse/PostgreSQl, Yandex cloud/GCP/AWS/Azure, Kafka/RabbitMQ — Опыт руководства data engineering или платформенной командой от 5 человек — Понимание data platform architecture, data contracts, lineage, monitoring, reliability — Опыт управления качеством данных и операционными метриками — Сильная коммуникация с бизнесом и смежными командами — Опыт найма, развития и оценки инженеров

Medology, an educational platform for doctors, is seeking a Head of SMM. The role involves creating a comprehensive SMM strategy and defining the roles of various channels such as Telegram, VK, Instagram, YouTube, and TikTok. The candidate will need to build an efficient content system that transforms a single webinar into multiple content formats like Reels, Shorts, interviews, cards, and clips. Responsibilities include attracting and growing a medical audience through seeding, paid advertising, collaborations, and influencer marketing; launching 7–8 specialized Telegram communities in fields like cardiology, neurology, and gastroenterology alongside key medical experts; managing an internal team and contractors; and overseeing end-to-end analytics and KPIs including audience growth, reach, engagement rate, clicks, and registrations. Requirements include at least 2 years of experience in Senior, Lead, or Head of SMM roles; strong expertise in Telegram and viral vertical video mechanics; proven track record of significant channel growth and experience working with niche experts and KOLs; analytical mindset and ability to translate complex scientific and medical information into accessible content; autonomy and leadership skills. Experience in Medicine, MedTech, or Pharma, launching channels from scratch, and having contacts in the medical community are considered strong advantages. The position offers a salary of 150,000 rubles, official employment under Russian labor law, a 5/2 work schedule with a hybrid format combining remote and office work, and an office located near Belorusskaya metro station in central Moscow. The product is strong with a scalable business model.

Описание проекта: создание экосистемной Customer720 платформы. Данные из банковских систем и CRM других бизнесов. Задачи: — Владеть архитектурой и развитием Data Core. — Проектировать слои Bronze / Silver / Gold и модели данных. — Исследовать банковские, legacy- и внешние источники, восстанавливать их семантику. — Строить pipelines от raw-данных до подготовленных data products. — Разрабатывать трансформации на SQL / dbt / Python. — Определять инженерные стандарты для ELT, data modelling, metadata, lineage и data quality. — Развивать data catalog и metadata-as-code подход. — Проектировать data contracts и интеграции Data Core с другими компонентами. — Переводить исследовательские решения и ручные процессы в production. — Работать с Git, CI/CD, Docker, Linux и закрытыми Dev/UAT-контурами. Требования: — Совокупный релевантный опыт не менее 6 лет обязательно. — Банковские или fintech-данные. — Core banking / legacy banking systems. — Опыт работы Lead / Staff / Principal Data Engineer или сильного Senior с архитектурным ownership. — Опыт проектирования и самостоятельной реализации data platform / DWH / Lakehouse. — Customer 360 / Golden Record / MDM. — Сильный SQL и уверенный Python. — dbt или аналогичные transformation frameworks. — Airflow / Dagster / Prefect или аналоги. — Хорошее понимание data modelling, historization, grain и master entities. — Практический опыт data quality, lineage и metadata management. — Data Vault 2.0. — OpenMetadata или другие data catalog solutions. — Умение самостоятельно принимать технические решения и отвечать за результат. — Опыт работы с плохо документированными источниками. — Git, CI/CD, Docker, Linux. — Практический AI-native способ разработки. Условия: — Оформление: ИП, ГПХ. — Формат работы: полная занятость.

Location: New York Workplace: remote ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Be the primary point of contact and build long-term relationships with customers.  Customer champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities. Develop a trusted advisor relationship with key accounts, customer stakeholders and executive sponsors. Ensure the timely and successful delivery of our solutions according to customer needs and objectives. Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders. Forecast and track key account metrics. Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests. Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis. Monitor and analyze customer's usage of our product. Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships. Drive upsells within existing customer base. Fluent in English. At least 3 years of prior account management experience. Previous compliance/web3/blockchain experience. At least 1 prior early-stage startup experience. Proven ability to upsell with exceptionally strong relationship and people management capabilities. A creative problem solver, results driven and self-motivated. Possesses a resilient personality and reacts well under pressure. High emotional intelligence, well organized with the ability to prioritize workload and use time effectively. Ability to handle changing requirements and unforeseen problems rapidly and positively  ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Ищем Manual QA с коммерческим опытом от 1 года в web-продуктах. Задачи: — Frontend, web & mobile testing — Functional, smoke, regression, exploratory testing Требования: — English — B1 Условия: — Будешь работать напрямую с QA, dev, design и Product.

Location: Bangalore Workplace: hybrid ⚡️ About Merkle Science Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies. Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over US$27 MM from SIG, Beco, Republic, DCG, Kenetic, GGV and several others. Be the primary point of contact and build long-term relationships with customers.  Customer champion within Merkle Science who will work closely with the product team to advocate for key requirements of customers and identify new opportunities. Develop a trusted advisor relationship with key accounts, customer stakeholders and executive sponsors. Ensure the timely and successful delivery of our solutions according to customer needs and objectives. Communicate clearly the progress of monthly/quarterly initiatives to internal and external stakeholders. Forecast and track key account metrics. Enhance department and organization's reputation by accepting ownership for accomplishing new and different requests. Responsible for keeping current clients satisfied and delivering exceptional client service on a day-to-day basis. Monitor and analyze customer's usage of our product. Responsible for working with the Sales team to onboard and integrate new clients and developing existing client relationships. Drive upsells within existing customer base. Fluent in English. At least 3 years of prior account management experience. Previous compliance/web3/blockchain experience. At least 1 prior early-stage startup experience. Proven ability to upsell with exceptionally strong relationship and people management capabilities. A creative problem solver, results driven and self-motivated. Possesses a resilient personality and reacts well under pressure. High emotional intelligence, well organized with the ability to prioritize workload and use time effectively. Ability to handle changing requirements and unforeseen problems rapidly and positively  ❤️ Well Being, Compensation and Benefits We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance.  We regularly host team-building sessions and encourage discussions around mental health.   We reward talent and believe in acknowledging people for their contributions.  We offer industry-leading compensation, along with generous equity.  As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.

Location: Ljubljana, Slovenia Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. At Aleph, we're committed to ensuring that all of our customers' and partners' data is protected and that our work complies with data protection legislation across the markets we operate in — including as AI regulation reshapes that landscape. We're looking for an experienced AI Tech and Data Privacy Associate Manager (or Manager, depending on experience), to join our global team and help manage sensitive information, support contract preparation, carry out data protection assessments, and advise on the growing intersection of AI governance and privacy compliance across our global footprint. What You Will Do Advise on and support the practical implementation of legal requirements across all AI risk categories (e.g., under the EU AI Act — prohibited, high-risk, limited-risk, and minimal-risk systems), including risk classification, compliance obligations, and coordination with product and tech teams. Monitor emerging AI regulations more broadly and advise on their intersection with data protection across our markets. Advise the business on responsible AI governance and internal AI use policies. Advise, coordinate, and support colleagues across the business on data protection and privacy compliance issues, including in non-EU markets. Collaborate on internal audits at Aleph Group level in the field of data protection. Help prepare reports, presentations, and educational materials on data protection, privacy, and AI compliance topics. Participate in data protection, privacy, and AI-related legal projects. Promote a strong culture of data protection and responsible AI compliance across Aleph. Support AI-related technology projects, including API integrations with third-party AI providers, ensuring data protection, IP, and contractual compliance throughout implementation. Negotiate and draft agreements related to AI/technology procurement (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Coordinate with product, tech, and other teams to assess IP, confidentiality, and data protection risks before onboarding new AI tools or vendors. Organize and maintain data protection records and related documentation at a global level. Support the preparation of contracts with business partners and other legal documents (for example, internal policies) in the field of data protection and GDPR compliance. Carry out Data Protection Impact Assessments (DPIAs) together with the wider team. Take on other ad hoc legal and compliance-related tasks as needed. What We Are Looking For A degree in Law. Minimum 4–6 years of hands-on experience in data privacy and compliance, with a strong focus on GDPR — this is not an entry-level role. Solid expertise in data privacy laws and practices, including a deep understanding of GDPR. Hands-on experience completing legal/compliance requirements for the implementation of AI systems across all risk categories (e.g., under the EU AI Act), including but not limited to high-risk systems — this is a requirement, not just a plus. Working knowledge of AI-related legal and regulatory frameworks more broadly. Demonstrated ability to research and apply data privacy requirements in non-EU markets (LATAM, APAC, and/or MEA), given our global operating footprint. Proficient English communication skills, written and verbal — this is a must. A tech-oriented mindset, genuine curiosity about how AI and emerging technologies intersect with privacy law, and strong motivation to continuously learn new legal frameworks and compliance tools. Experience working in a global or regional setting, with the ability to operate confidently outside a single-market (EU-only) focus. Practical experience negotiating and drafting technology/AI related agreements (vendor contracts, API and data-sharing agreements, licensing terms), including IP protection, ownership, and indemnification provisions. Why Join Aleph Shape data protection and AI governance practice at scale: your work will directly protect the trust of Aleph's customers and partners across a global footprint spanning Europe, LATAM, APAC and MEA. Apply AI compliance expertise at scale: you'll drive real implementation work across the full spectrum of AI risk categories as regulation matures, not just policy-watching. Build deep expertise fast: exposure to DPIAs, cross-border data transfers, AI risk assessments, and multi-jurisdictional privacy frameworks gives you a faster path to becoming a recognized privacy expert than most single-market roles. Join a growing, collaborative legal team based in Warsaw that values mentorship and hands-on learning over hierarchy. In line with the EU Pay Transparency Directive, we are committed to fair and open compensation practices. The minimum gross annual base salary is EUR 39,000, with the final level (Associate Manager or Manager) and offer reflecting your experience, skills, and scope of the role. In addition to base salary, this role includes a variable component, paid annually. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Задачи: — Build high-quality software products with attention to detail and craftsmanship. — Work on real-world projects that have measurable impact. — Collaborate closely within an engineering team focused on growth-oriented solutions. — Take ownership from concept through delivery ensuring robustness at every stage. Требования: — Mastery of C# — Strong computer science fundamentals including best practices, design principles, algorithms and data structures. — .NET Core proficiency — JavaScript/TypeScript expertise — Concurrency understanding.

Задачи: — Развитие моделей поискового ранжирования и рекомендательных систем. — Тюнинг моделей и feature engineering. — Разработка новых ML-решений с нуля. — Вывод моделей в production. — Анализ A/B-тестов и результатов экспериментов. Требования: — 6+ лет опыта. — Опыт внедрения ML-моделей в production. — Знание ML и нейросетей для обработки текста. — Опыт в ranking, recommendations или NLP. — Уверенный Python: NumPy, SciPy, PyTorch, Scikit-learn. — Знание алгоритмов и структур данных. — SQL и опыт работы с большими данными. — Понимание A/B-экспериментов. Будет плюсом: — Java. — Cassandra, Hive, Presto, Kafka. — Hadoop. — LightGBM. Условия: — Полная занятость. — График 5/2, 8 часов в день. — Удалённая работа или офис. — Гибкий график. — Оформление по ТК РФ. — «Белая» зарплата. — ДМС с первого месяца. — Обучение и конференции за счёт компании. — Well-being программа. — Офисы в 10 городах России. Основные задачи проекта: — Развитие поиска и рекомендаций. — Улучшение продуктовых метрик через ML-модели. — Работа с высоконагруженным поисковым кластером. — Полный цикл ML: данные → модель → production → A/B-тест. О компании: — Крупный технический департамент. — Около 600 специалистов в IT, Data и Product. — 60+ команд. — ML-продукты используются миллионами пользователей.

Location: Kuwait City, Kuwait Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Operations Manager to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Establish and maintain business standards for accuracy, productivity and reliability Manage the daily functions of the business Directly supervise, mentor, and evaluate Operations Supervisors handling field teams. Conduct regular performance reviews, set KPI targets, and identify training/upskilling needs across all service departments. Work with HR to recruit, onboard, and manage manpower allocation, seasonal shift scaling, and roster planning. Oversee daily scheduling, route planning, job dispatching, and resource allocation to minimize transit time and maximize team utilization. Manage emergency dispatch processes for urgent calls Standardize Operational Standard Operating Procedures (SOPs) across all services Implement continuous audit and site-inspection frameworks to guarantee service quality Manage operational budgets for field consumables, tools, equipment, spare parts and fleet vehicles Control inventory levels to prevent shrinkage, overstocking, or site delays due to material stockouts Manage fleet logistics, fuel consumption, maintenance schedules, and tracking systems for field vans/vehicles Function as the primary operational escalation point for high-profile clients, key accounts, and supervisor escalations Track client feedback, CSAT scores, and root causes for service rework; implement immediate corrective action plans Prepare annual performance review and reevaluate processes Ensure regulatory, compliance and legal rules are followed Manage budget to align with goals of business Experience in field service operations (pest control, HVAC, cleaning, or similar) Proven experience managing supervisors and multiple field teams Strong skills in scheduling, route planning, and dispatching, including urgent calls Experience setting KPIs, running performance reviews, and identifying training needs Experience writing SOPs and running audits, inspections, and quality control Ability to manage budgets, inventory, and fleet (fuel, maintenance, tracking) Experience handling key account escalations and improving CSAT and SLA compliance Knowledge of safety, regulatory, and legal requirements Experience working with HR on hiring, onboarding, and rosters Strong leadership, communication, and problem-solving skills Proficiency with scheduling or field service management software