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5 445 вакансий по запросу «Native»Сначала свежие

Aptura45 дн назад

Location: India Workplace: Remote PRIVATE EQUITY AI RESEARCHER (IC Decks, Board Materials) Full time | Remote — India ABOUT US Aptura is a London-based company working on understanding how AI is changing professional work. We look closely at how finance and advisory professionals actually work, and where AI helps or falls short. The company was founded by people with backgrounds at Lazard, McKinsey and Partners Group. ROLE DESCRIPTION We are looking for Subject Matter Experts from private equity, private credit or corporate development who build IC papers, board materials and portfolio updates. You know which slide the committee turns to first, and why AI rarely gets it right. You have used AI tools on your own work and been frustrated by the mistakes they make, or you simply want to find out how good they really are. You will turn that experience into realistic PowerPoint tasks that test how well AI do the deck work of an investment associate. RESPONSIBILITIES INCLUDE - Writing realistic PowerPoint tasks drawn from your own investment and portfolio work: building decks from source documents, filling corporate templates, rolling decks forward and making precise edits - Working through each task yourself so there is a clear, correct answer - Writing a yes-or-no checklist precise enough that an AI grader can mark any attempt against it NECESSARY SKILLS INCLUDE - 2+ years in private equity, growth equity, private credit or corporate development - Deep hands-on PowerPoint: native charts, tables and corporate templates - Ability to define what a correct deck looks like precisely enough for someone else to grade against it - Clear writing. Tasks must be written by you, not by AI tools - Attention to detail, and willingness to learn concepts in AI and data HOW IT WORKS 1. Apply with your details and CV. After applying, verify your email and choose an available 30-minute group walkthrough call. You can book immediately; there is no application-approval step before booking. 2. Attend the walkthrough and enter the code shared by the host at the end of the call to unlock your task workspace. 3. Create one original task from your own work in about 45 minutes. Submit the brief, the actual input files needed to complete it, a written expected result and at least five binary rubric checks, each with one skill tag. Input-file uploads are compulsory. 4. Write the brief and rubric yourself, without AI drafting, rewriting or polishing. Input materials must also be human-authored. Use only materials you are authorised to share, with confidential employer or client information removed. 5. Submit through your account for automated screening and team review. Follow any request for revisions in your account. Completing onboarding does not guarantee a job offer; selection remains subject to review. LOCATION Remote — India

УдалённоIndia

Higgsfield45 дн назад

Senior Tech Recruiter

Aptura45 дн назад

Transaction Advisory AI Research Contributor

Location: India Workplace: Remote TRANSACTION ADVISORY AI RESEARCHER (Due Diligence, Valuation) Full time | Remote — India ABOUT US Aptura is a London-based company working on understanding how AI is changing professional work. We look closely at how finance and advisory professionals actually work, and where AI helps or falls short. The company was founded by people with backgrounds at Lazard, McKinsey and Partners Group. ROLE DESCRIPTION We are looking for Subject Matter Experts from Big 4 deal advisory or strategy consulting who turn data rooms and market data into decks a client can act on. You know the difference between a slide that informs a decision and one that fills a page. You have used AI tools on your own work and been frustrated by the mistakes they make, or you simply want to find out how good they really are. You will turn that experience into realistic PowerPoint tasks that test how well AI do the deck work of an advisory analyst. RESPONSIBILITIES INCLUDE - Writing realistic PowerPoint tasks drawn from your own advisory work: building decks from source documents, filling corporate templates, rolling decks forward and making precise edits - Working through each task yourself so there is a clear, correct answer - Writing a yes-or-no checklist precise enough that an AI grader can mark any attempt against it NECESSARY SKILLS INCLUDE - 2+ years in transaction services, valuations, commercial due diligence or strategy consulting - Deep hands-on PowerPoint: native charts, tables and corporate templates - Ability to define what a correct deck looks like precisely enough for someone else to grade against it - Clear writing. Tasks must be written by you, not by AI tools - Attention to detail, and willingness to learn concepts in AI and data HOW IT WORKS 1. Apply with your details and CV. After applying, verify your email and choose an available 30-minute group walkthrough call. You can book immediately; there is no application-approval step before booking. 2. Attend the walkthrough and enter the code shared by the host at the end of the call to unlock your task workspace. 3. Create one original task from your own work in about 45 minutes. Submit the brief, the actual input files needed to complete it, a written expected result and at least five binary rubric checks, each with one skill tag. Input-file uploads are compulsory. 4. Write the brief and rubric yourself, without AI drafting, rewriting or polishing. Input materials must also be human-authored. Use only materials you are authorised to share, with confidential employer or client information removed. 5. Submit through your account for automated screening and team review. Follow any request for revisions in your account. Completing onboarding does not guarantee a job offer; selection remains subject to review. LOCATION Remote — India

Aptura45 дн назад

Investor Relations AI Research Contributor

Location: India Workplace: Remote INVESTOR RELATIONS AI RESEARCHER (Results Decks, Board Packs) Full time | Remote — India ABOUT US Aptura is a London-based company working on understanding how AI is changing professional work. We look closely at how finance and advisory professionals actually work, and where AI helps or falls short. The company was founded by people with backgrounds at Lazard, McKinsey and Partners Group. ROLE DESCRIPTION We are looking for Subject Matter Experts from investor relations or FP&A who own the quarterly cycle of results decks, board packs and KPI reporting. You know that rolling a deck forward is never just swapping numbers. You have used AI tools on your own work and been frustrated by the mistakes they make, or you simply want to find out how good they really are. You will turn that experience into realistic PowerPoint tasks that test how well AI do the deck work of an IR or FP&A analyst. RESPONSIBILITIES INCLUDE - Writing realistic PowerPoint tasks drawn from your own reporting cycle: building decks from source documents, filling corporate templates, rolling decks forward and making precise edits - Working through each task yourself so there is a clear, correct answer - Writing a yes-or-no checklist precise enough that an AI grader can mark any attempt against it NECESSARY SKILLS INCLUDE - 3+ years in investor relations, FP&A or financial reporting at a listed company or large corporate - Deep hands-on PowerPoint: native charts, tables and corporate templates - Ability to define what a correct deck looks like precisely enough for someone else to grade against it - Clear writing. Tasks must be written by you, not by AI tools - Attention to detail, and willingness to learn concepts in AI and data HOW IT WORKS 1. Apply with your details and CV. After applying, verify your email and choose an available 30-minute group walkthrough call. You can book immediately; there is no application-approval step before booking. 2. Attend the walkthrough and enter the code shared by the host at the end of the call to unlock your task workspace. 3. Create one original task from your own work in about 45 minutes. Submit the brief, the actual input files needed to complete it, a written expected result and at least five binary rubric checks, each with one skill tag. Input-file uploads are compulsory. 4. Write the brief and rubric yourself, without AI drafting, rewriting or polishing. Input materials must also be human-authored. Use only materials you are authorised to share, with confidential employer or client information removed. 5. Submit through your account for automated screening and team review. Follow any request for revisions in your account. Completing onboarding does not guarantee a job offer; selection remains subject to review. LOCATION Remote — India

Higgsfield45 дн назад

Head of Recruitment

Aptura45 дн назад

Investment Banking AI Research Contributor

Location: India Workplace: Remote INVESTMENT BANKING AI RESEARCHER (Pitch Books, Deal Decks) Full time | Remote — India ABOUT US Aptura is a London-based company working on understanding how AI is changing professional work. We look closely at how finance and advisory professionals actually work, and where AI helps or falls short. The company was founded by people with backgrounds at Lazard, McKinsey and Partners Group. ROLE DESCRIPTION We are looking for Subject Matter Experts from investment banking who have spent years building pitch books, teasers and deal decks. You know what a client-ready slide looks like, and how far most AI output still is from it. You have used AI tools on your own work and been frustrated by the mistakes they make, or you simply want to find out how good they really are. You will turn that experience into realistic PowerPoint tasks that test how well AI do the deck work of a junior banker. RESPONSIBILITIES INCLUDE - Writing realistic PowerPoint tasks drawn from your own deal work: building decks from source documents, filling corporate templates, rolling decks forward and making precise edits - Working through each task yourself so there is a clear, correct answer - Writing a yes-or-no checklist precise enough that an AI grader can mark any attempt against it NECESSARY SKILLS INCLUDE - 2+ years in M&A, ECM, DCM or leveraged finance at a bank or advisory boutique - Deep hands-on PowerPoint: native charts, tables and corporate templates - Ability to define what a correct deck looks like precisely enough for someone else to grade against it - Clear writing. Tasks must be written by you, not by AI tools - Attention to detail, and willingness to learn concepts in AI and data HOW IT WORKS 1. Apply with your details and CV. After applying, verify your email and choose an available 30-minute group walkthrough call. You can book immediately; there is no application-approval step before booking. 2. Attend the walkthrough and enter the code shared by the host at the end of the call to unlock your task workspace. 3. Create one original task from your own work in about 45 minutes. Submit the brief, the actual input files needed to complete it, a written expected result and at least five binary rubric checks, each with one skill tag. Input-file uploads are compulsory. 4. Write the brief and rubric yourself, without AI drafting, rewriting or polishing. Input materials must also be human-authored. Use only materials you are authorised to share, with confidential employer or client information removed. 5. Submit through your account for automated screening and team review. Follow any request for revisions in your account. Completing onboarding does not guarantee a job offer; selection remains subject to review. LOCATION Remote — India

Taxfix45 дн назад

Senior Product Management Builder (d/f/m)

Location: Berlin Workplace: Hybrid OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix, Steuerbot and TaxScouts, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR OPPORTUNITY: AI is shifting how the best products get built. The handoffs between product, design, and engineering are slowing us down. The companies moving fastest are doing it with people who own the full loop, from the user problem to the shipped feature, without losing the thread. At Taxfix, we’re rebuilding our R&D organization around this idea. We call these people builders. A Builder has a primary craft, one they’re genuinely excellent at, but they don’t stop there. They stretch across product, design, and engineering as the situation demands, using AI to cover the gaps. They’re accountable to outcomes, not job descriptions. Taxfix has put €5 billion back into our customers’ pockets and we aren’t stopping there. We operate in Germany, Spain, and the UK, and we’re in the middle of a genuine AI transformation in how we build and how we’re organized. Assume there’s no designer to give you a Figma file. No engineer to hand the spec to. The magic is knowing what to build, why, and in what order, then making it happen. If building the thing sounds more natural to you than describing it, this role is for you. YOUR RESPONSIBILITIES AND DECISIONS: - Take a user problem from rough idea to shipped product. Write the brief, design the flow, prototype it, and get it in front of users, with as few handoffs as possible. Own the full loop. - Compress research, synthesis, and spec-writing from weeks into hours. You reach for AI tools not because you’ve been asked to, but because they faster make you faster in delivering high quality outcome. You know when to trust the output, when to edit it, and when to reject it. Use AI as a force multiplier. - You structure fuzzy problems, identify what should and shouldn’t be built, and move forward when there are dozens of possible directions. The magic is in the trade-offs, not the feature list. Turn ambiguous ideas into things users can trust. - You collaborate effectively with technical and non-technical stakeholders on AI-related product work, translating AI concepts, capabilities, limitations, and outputs into clear product decisions. You work effectively in hybrid human-AI teams. Work in small, focused teams. - You know the metric your team is trying to move. You measure your week by what changed in user behaviour, not by how many tickets moved to Done. Be accountable to outcomes, not roadmaps. - You give feedback directly, to anyone, regardless of level. You raise blockers early and in the open. Push back when something’s wrong. Team player who raises the bar. YOUR PROFILE: YOUR CRAFT - 5+ years experience in Product Management (ideally in fintech or B2B). You’ve shipped things that real people use, and you can point to the metric that moved when you did. - Understand implicitly the product development process - from discovery, to user research to experimentation. You are able to build and defend a compelling strategy that solves user needs. - You have a builder track record: you’ve made things with AI, not just written specs about them. Shipped products, agent workflows, or tools real users have touched. Any of these count whether at work or in your personal life. - You’re AI-native by default. You use tools like Claude, Cursor, Lovable, or similar regularly. You follow the AI product space closely and you know the difference between a demo and something production-ready. - You’ve built personal AI workflows that make you meaningfully faster. You know when to trust AI output, when to edit it, and when to reject it. - You’ve gone from user problem to testable prototype without waiting for a brief to be written for you. The output was good enough that a team shipped from it. - Low PM baggage: you’re not attached to how product management "should" be done. You care about outcomes, not territory. - When designing and shipping AI-enabled products, you consider privacy, safety, fairness, transparency, bias, and accountability. You assess when AI-generated outputs are appropriate for use and raise concerns when risks or limitations are identified. YOUR RANGE - Across all three disciplines, you can hold your own: in Product you can identify opportunities, assess impact, and prioritize ruthlessly. In Design, you have taste: you know when something looks right but feels wrong. In Engineering, you’ve used AI coding tools to build something real, and you’re not dependent on an engineer to tell you why it’s broken. HOW YOU WORK - Data fluency: you know the metric you were trying to move, and you can say whether you moved it, with healthy skepticism about what metrics do and don’t tell you. - You believe in experimentation and ship with velocity to learn quickly. You know your way around AB tests and are excited to try new data science models to learn faster. - You’ve worked on products where getting it wrong has real consequences for real people, and that raised your bar, not lowered it. - You’ve found a way through blockers rather than waiting to be unblocked. When something was genuinely impossible, you documented why and moved on. - You bring an entrepreneurial and independent mindset. You are excited about spotting opportunities and then acting on them. - Fluency in English is required (German is a plus). THIS ROLE IS NOT FOR YOU IF… - You’re not genuinely excited about being able to stretch across design and engineering functions. - You’ve never built an AI prototype and/or shipped code, side projects count. - You pride yourself in what you delivered rather than its impact - You need certainty, a full brief, or someone else’s research to get started. - You don’t believe in fast learning and getting things into customers hands early and use WHY TAXFIX? - A chance to do meaningful, people-centric work with an international team of passionate professionals. - Holistic well-being with free mental health coaching sessions. - A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. - Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. - 30 annual vacation days and flexible working hours. - Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. - Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible. - Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. - Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix https://medium.com/taxfix on our blog and get a glimpse of our culture. At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.

Modal45 дн назад

Global Workplace Lead

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for a hands-on Global Workplace Lead to own workplace experience across all Modal offices. You’ll manage our Workplace Experience team and set the tone for the day-to-day operations, programs, and physical environments that make each location thrive. You care as much about how a space feels as about how it functions, and bring the same taste and judgment to our offices that we bring to our product. You’ll develop a deep understanding of what each office actually needs, and build trusted relationships with local leads and cross-functional partners across the organization. WHAT YOU’LL WORK ON: - Manage and develop a team of workplace services professionals, setting direction, coaching performance, and building a high-functioning team - Own operational quality across every office by tracking service levels and space utilization, spotting patterns, and fixing the underlying causes of recurring problems - Stay ahead of what the business needs next by keeping a pulse on both local realities and company-wide priorities - Build the global budget and vendor strategy for workplace experience, and hold contractors and service providers accountable to clear performance expectations - Guide workplace experience through major transitions, including new office openings and relocations - Shape how Modal’s brand and culture show up physically, bringing the same clarity, craft, and attention to detail to our spaces that we bring to our product - Synthesize data, stakeholder input, and business context into recommendations for continuous improvement YOU MAY BE A FIT IF: - You have 5+ years in workplace, facilities, or office operations, ideally at a high-growth tech company where you built programs rather than inherited them - You have 2+ years of people management, including leading team members through office moves or openings - You’ve overseen workplace operations across multiple offices, ideally in more than one country - You have strong taste and judgment, with an instinct for what looks and feels like Modal - You have a clear willingness to take a hands-on approach and dive into the details - You can influence cross-functional partners and translate company strategy into effective local execution - You thrive in a fast-paced workplace with rapidly changing priorities - You’re excited to be in an in-office role, collaborating with team members IRL - You’re willing and able to travel to Modal offices globally

quadcode45 дн назад

VIP Account Manager with English and Thai

Location: Thailand; Malaysia; Myanmar Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. Tasks: Conduct proactive outreach to potential and existing VIP clients through calls, written communication, and internal CRM tools Promote company products and services to high-value clients Apply effective negotiation techniques to convert leads into long-term customers Develop and implement initiatives to increase client satisfaction and retention Build and maintain strong, long-term relationships as a trusted advisor Monitor client activity and identify opportunities for growth and engagement Maintain accurate records of client interactions in the CRM system Requirements: English proficiency at B2 level or higher Native or bilingual proficiency in Thai Proven experience in the financial industry, preferably in sales, account management, or business development High level of responsibility and professionalism when working with VIP clients Strong communication, negotiation, and relationship-building skills Result-oriented mindset and ability to work in a fast-paced environment What We Offer: On-site work model in our brand-new office in Larnaca (Cyprus) or remote work model Competitive remuneration Professional courses: from Coursera to Harvard Friendly, enjoyable and positive environment With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-DK1

УдалённоThailand; Malaysia; Myanmar

UiPath45 дн назад

Software Engineer II

Location: Bucharest Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION As a Software Engineer II, you will design, build, and improve reliable cloud services that power critical automation capabilities across the UiPath platform. You will work on backend systems that need to scale, perform consistently, integrate with other platform services, and support customers across cloud, on-premises, and hybrid environments. WHAT YOU'LL DO AT UIPATH - Design, develop, test, and maintain backend and cloud-native services used across the UiPath platform. - Build scalable, secure, reliable, and high-performing distributed systems, with a focus on long-term maintainability. - Work on technical challenges related to scalability, availability, performance, observability, incident prevention, and multi-environment deployments. - Collaborate with product managers, engineers, architects, and other teams to deliver solutions aligned with customer and platform needs. - Contribute to system design, technical planning, code reviews, automation, and engineering best practices. - Identify bottlenecks, production issues, technical debt, and improvement areas, and drive practical solutions with strong ownership. - Engage directly with customers on technical calls to diagnose and resolve issues end to end. WHAT YOU'LL BRING TO THE TEAM - 3+ years of software engineering experience, with strong backend development experience. - Hands-on experience with one or more modern programming languages such as C#, Java, Python, or Go. - Good understanding of distributed systems, microservices, APIs, cloud-native architecture, and system design. - Experience building production-grade services in cloud environments such as Azure, AWS, or GCP. - Good knowledge of containers, Kubernetes, CI/CD, monitoring, logging, and observability. - Strong understanding of data structures, algorithms, multithreading, asynchronous programming, and performance considerations. - Experience with relational and/or NoSQL databases, messaging systems, or event-driven architectures. - Ability to write clean, well-tested, maintainable code and contribute to strong engineering practices. - Interest in automation, AI, developer platforms, enterprise software, or large-scale cloud systems is a plus. - Knowledge of cloud networking, especially in Azure (for example VPN Gateway, Private Link and ExpressRoute), is a plus Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Utopia Studio45 дн назад

Legal & Compliance Manager

Location: worldwide Workplace: Hybrid ABOUT UTOPIA UTOPIA is a venture studio (Utopia Studio) and fund manager platform (Utopia Capital) headquartered in Doha, operating across the Middle East, Southeast Asia, and Africa. The platform combines early-stage venture funds with an in-house studio that builds companies directly, supported by a proprietary technology infrastructure that shortens the time from idea to build. A team of 30 runs capital deployment, company-building and infrastructure together, giving the platform direct access to markets, data and operating relationships across three regions. UTOPIA is anchored by sovereign wealth and Qatar's leading development institutions, and is invested in alongside family offices, high-net-worth investors and foundations. The platform is regulated by the Qatar Financial Centre Regulatory Authority (QFCRA), and its investor base sets the standard for the financial rigour, compliance and operational discipline it runs to. UTOPIA builds and backs early-stage ventures led by domain experts, with capital efficiency and disciplined execution central to how it operates. THE ROLE The Legal & Compliance Manager keeps the platform's regulatory, compliance and legal obligations current and on time across both Utopia Studio and Utopia Capital. This is a hands-on, execution-focused role. The Manager owns the compliance calendar, prepares and coordinates filings, keeps registers and records accurate, and puts the policies and frameworks set by leadership into day-to-day practice. Regulatory strategy and controlled-function accountability sit with the COO and CEO. The MLRO and Compliance Officer functions are held externally through a service provider, and this role works alongside them to make sure the platform meets its obligations on time. Reports to: COO. Direct reports: None. Works closely with: COO, CFO and finance, People & Operations, the outsourced MLRO / Compliance Officer, external counsel and company secretary, and the Utopia Studio and Utopia Capital teams. Location: Doha, Qatar (full-time, with some remote allowances during the summers) Compensation: circa US$50,000 per annum. WHAT YOU WILL OWN There are four areas of ownership: regulatory filings, compliance operations, legal administration, and governance records. Together they keep the platform's obligations met on time across both entities. Regulatory filings & reporting - Own the platform's regulatory filing calendar across both entities: track every QFCRA (and other applicable) deadline, and support the Compliance Officer with preparing submissions and accurate and on-time filings. - Coordinate periodic regulatory returns and maintain a clear record of what has been filed, when, and what is next due, so status is visible at any moment across all group entities - Own the compliance and filing cycle for the fund vehicles (Cayman & QFC) - Own the reporting calendar to our investors and LPs: track deliverables and milestones, prepare and coordinate the periodic reports, and make sure every submission is complete, accurate and on time. Compliance operations - Run day-to-day compliance monitoring against existing policies, and act as the internal point of contact for the outsourced MLRO and Compliance Officer, gathering information, completing first-line checks and following actions through to closure. - Execute onboarding and KYC due diligence, screening, and the upkeep of conflicts, gifts and entertainment registers. - Prepare (when needed) compliance reporting packs for the COO and board, and support supervisory engagement and audits by assembling documentation and tracking remediation actions to closure. - Coordinate the fund-level AML and economic substance obligations in Cayman with the outsourced administrator and appointed officers, keeping the platform's records aligned with what is filed offshore. Legal & contract administration - Draft, review and process standard-form agreements (NDAs, vendor, engagement and service agreements) and manage the contract lifecycle from request to execution to storage. - Maintain the contract register and central legal repository so every agreement is filed, findable and current. - Coordinate with external legal counsel on matters beyond standard scope, managing instructions, turnaround and documentation. - Own corporate housekeeping across the platform's entities, ensuring that registrations, renewals, licences and statutory records are completed on time. Governance & records - Keep the platform's policies, registers and corporate records organised, version-controlled and up to date. - Maintain accurate entity and shareholding records across the Group and keep the corporate register current. - Ensure documentation is retained and organised to the standard the platform's regulator and investor base expect. WHO WE ARE LOOKING FOR - 4–6 years in a compliance, regulatory reporting or filings function, ideally within a regulated financial services, fund management or professional services environment. - A bachelor's degree in a relevant field such as accounting, finance, business or economics. - A law degree or specialist compliance certification is not mandatory, though a legal or compliance background is advantageous. What matters most is the years you have spent working hands-on inside a compliance or reporting function. - Practical familiarity with regulatory filing and compliance processes; direct QFCRA, DFSA, FSRA or comparable exposure is a strong advantage. - Meticulous and deadline-driven, taking pride in nothing being late, nothing being missed, and every record being accurate. - Highly organised and self-directed, comfortable owning a calendar of recurring obligations and chasing the inputs you need from others. - Practical and execution-minded, more focused on getting the filing done correctly - GCC experience preferred; familiarity with Qatar's institutional and regulatory landscape is an advantage. - Temperament: reliable, discreet, calm under deadline pressure, and comfortable holding colleagues to account to get documentation in on time. WHY THIS ROLE - Real ownership of the platform's day-to-day regulatory and compliance execution across both a fund manager and a venture studio. - A clearly defined, hands-on role reporting directly to the COO, focused on day-to-day execution while strategy and accountability sit above you. - Institutional context: sovereign-grade anchor partners, a QFCRA-regulated environment, and an investor base that sets a high operational standard. - A platform at the point where it scales, giving you the chance to build reliable, repeatable compliance operations for both entities. We believe innovation should be inclusive and globally distributed. Our team is built on openness, curiosity, and collaboration — with people from across the GCC, Africa, and Southeast Asia working together to build meaningful ventures. All roles are based in Doha, Qatar, with flexible hybrid options and global travel opportunities (unless otherwise stated). We welcome talent from every background to join us in shaping the future of AI-native innovation.

Cloudflare45 дн назад

Senior Customer Engineer SLED TX (Austin, Dallas or Houston)

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Austin, Dallas or Houston TX Senior Customer Engineer SLED *This is a work-from-home 100% remote role, but you should reside in Texas." What you’ll do as a Senior Customer Engineer SLED About the Role At Cloudflare , we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, this specialized role will focus heavily on our SLED (State, Local, and Education) and Local Government sectors. You will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire public sector customer journey. Key Responsibilities Technical Validation : Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking, and Developer Platforms) tailored to public sector procurement and compliance standards . Customer Adoption & Value Realization : Lead and/or provide oversight to technical onboarding and implementation, serving as the primary executive and engineering contact for the customer. You will partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. You will proactively monitor dynamic customer health scores and telemetry to ensure rapid time-to-value and resolve integration bottlenecks common in municipal and educational IT infrastructures . Commercial Accountability & Expansion : Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory : Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. AI Orchestration & Workflow Automation : Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum Qualifications Public Sector Expertise : Proven experience working with or selling into SLED, Local Government, State or Municipal agencies , with a deep understanding of public sector buying cycles, compliance requirements, and unique government IT constraints. Experience : Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Technical Acumen : Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. Commercial Mindset : Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and public sector/enterprise sales cycles. Communication : Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level government C-suite/elected official business strategy. Strongly Preferred Qualifications (The "Good-to-Haves") Cloudflare AI Stack Experience : Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI, AI Gateway, and Vectorize. Applied AI Knowledge : Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. Coding/Scripting : Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Compensation Compensation may be adjusted depending on work location. For Texas based hires: Estimated annual salary of $231,000-$275,000+ OTE, Base + Commissions Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Cargoo45 дн назад

Senior AI Software Engineer (.NET)

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

Intercom45 дн назад

Senior Web Designer, Growth

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.

Cargoo45 дн назад

AI Product Stream Lead

Location: Yerevan, Armenia Role Purpose The AI Product Stream Lead defines and delivers AI-powered supply chain solutions that solve real customer and operations problems on the Cargoo platform. You own a product stream end to end, from framing where AI creates value (automation, decision support, agents) to shipping it and proving it works in production. You lead a cross-functional team, balancing customer value, technical and data feasibility, AI quality and cost, business priorities and delivery timelines. You also help set how Cargoo builds product in an AI-native way. Key Responsibilities AI Product Vision & Strategy Shape the stream’s product vision and strategy with stakeholders, in line with Cargoo’s AI strategy and customer needs. Identify and prioritize AI opportunities across freight operations (e.g. exception handling, quoting, document processing, planning and execution support) by value, feasibility and risk. Decide where AI should automate, where it should assist, and where a human must stay in control. Own product decisions, balancing customer value, technical feasibility, AI quality, cost, business priorities and delivery timelines. Leadership & Delivery Lead the development team through the whole product lifecycle, from discovery to rollout and adoption. Decide scope, schedule and quality, including when an AI feature is good enough to ship and when it needs another iteration. Run fast discovery loops: prototype with AI tools, validate with real users and data, then commit. Make sure the team meets internal policies, data protection rules and responsible-AI standards (incl. EU AI Act awareness). Product Management & Requirements Create clear Use Cases, Requirements and Business Rules. For AI features, add expected behaviour, edge cases, failure modes and escalation paths. Define success and evaluation criteria for AI features with engineering: accuracy, latency, cost per task and acceptable error rates, backed by representative test sets. Write User Stories and Acceptance Criteria that cover both deterministic logic and probabilistic AI behaviour. Work with engineering and data owners on data readiness: which data we need, its quality, and who owns it. Own and continuously refine the Product Backlog so the team always works on the highest-value opportunities. Track adoption and impact after release (time saved, automation rate, user trust) and feed the learning back into the roadmap. AI-Native Ways of Working Use AI tools every day for research, specs, prototyping, data analysis and feedback synthesis. Help the team and wider product org adopt AI-assisted delivery practices. Candidate Profile Education & Experience 5+ years managing software development projects, strongly preferably as a Product Owner. Proven managerial skills: team leadership, decision-making and conflict resolution. Degree or diploma in Information Technology, Informatics or a related field. Technical Skills (Must Have) Deep understanding of Agile values, principles and frameworks (Scrum, Kanban, Lean) and the ability to apply them well. Strong analytical skills, comfortable working with data to make product decisions. Solid working understanding of how LLMs and AI agents work, what they are good at, and where they fail (hallucinations, non-determinism, cost, latency). Hands-on, daily use of AI tools in your own work. Fluent English, written and spoken. Strong Plus Having shipped at least one AI/ML or LLM-based feature to production. Experience defining evaluation criteria or test sets for AI features. Logistics background or experience with logistics solutions. Experience with data products, workflow automation or decision-support systems. Behavioral Traits Excellent communication with technical and non-technical audiences, including customers, executives, managers and subject matter experts. Able to explain AI trade-offs in plain language. Strong leadership and decision-making, able to guide teams and resolve conflicts. Analytical, structured and value-driven in prioritization. Evidence over hype. Curious and fast-learning, comfortable with ambiguity and quick iteration.

Higgsfield45 дн назад

Data Analyst, Antifraud

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

Higgsfield45 дн назад

Data Scientist, Antifraud

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

Higgsfield45 дн назад

Payments Analyst

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

Все вакансии в одном месте - страница 137 · Job Hunters

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Higgsfield45 дн назад

Data Scientist, Antifraud

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

Higgsfield45 дн назад

Payments Analyst

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

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