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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

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

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

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

Задачи: — Выполнять сквозное тестирование и контроль качества платежных методов до и после запуска. Требования: — Опыт работы 3+ года в QA или QC в платежной индустрии или смежных финтех-секторах; — Понимание платежных потоков (карты, APM, open banking, криптовалюты); — Базовые знания панелей PSP, back-office систем или QA инструментов (Postman, JIRA, Asana); — Уверенные навыки работы с Excel или опыт работы с инструментами визуализации данных (анализ AR%, анализ причин отказов); — Свободное владение русским языком, английский уровень B1+. Условия: — Возможность работать над проектами с реальным бизнес-эффектом; — Международный опыт и активное участие в развитии финтех-компании; — Конкурентная зарплата; — Компенсация спортивных занятий и обедов; — Дружелюбная, динамичная и мультикультурная среда, где ценится ваш вклад.

Location: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluent in Japanese and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Role Checkout is looking for an experienced financial crime compliance lead to establish, grow, and maintain a global second-line team. This role will oversee the compliance frameworks supporting our rapidly evolving portfolio of mass market products. This opportunity is a perfect fit if you are excited by the prospect of leveraging the momentum and resources of a global scale-up to support the launch and scale of high velocity products. As products expand and launch, there will be an opportunity to grow your team across multiple regions. You will be expected to: - Build the Framework: Establish the global framework for second-line escalations for new products; working closely with relevant regional MLROs to ensure consistency and operational excellence. - Drive Cross-Functional Alignment: Partner with Risk, Operations, and Product teams to align compliance requirements with fraud mitigation and user experience goals. - Monitor Emerging Trends: Maintain a deep understanding of financial crime typologies, regulatory guidance, and emerging industry trends, ensuring these are proactively factored into our control framework and knowledge base. - Design & Deliver Training: Develop and deliver targeted training to business and compliance teams regarding complex financial crime and fraud risks inherent in high-volume environments. - Ensure Compliance-by-Design: Partner with our Regulatory Compliance function to integrate compliance requirements early in the product development lifecycle. - Own Compliance Requirements: Assume central responsibility for mapping and maintaining SDD, CDD, and EDD requirements for our evolving product set, ensuring relevant factors are codified into global minimum standards. - Strategic Advisory: Directly advise Product and Operations teams on the opportunities and risks associated with automation, AI deployment, and system scale. - Integrate Risk Assessments: Collaborate closely with regional MLROs to ensure product-specific risk profiles are accurately captured and factored into Business-Wide Risk Assessments. - Implement Assurance: Collaborate with our Assurance and Internal Controls team to design and execute robust compliance monitoring processes for new product lines. Experience we are looking for: - 6+ years of second-line compliance experience in fintech, payments, or banking at scale (neobank/fintech experience strongly preferred). - Deep expertise in financial crime (AML/CFT/Sanctions/Fraud) risk, with regulatory compliance experience as a strong plus. - Experience growing and leading a team, with cross-border/global management experience highly desirable. - Proven track record in architecting frameworks for high-volume environments and working directly with technical/product stakeholders to design solutions. Personal qualities we look for: - Confident decision-maker: Ability to quickly assess risks, weigh mitigations, and provide strong, defensible rationale for your decisions. - Technical fluency: Comfortable working directly with technical leaders to drill down into the configuration of user journeys, systems, and tooling. - AI-first mindset: Experience deploying AI or automation tools to accelerate compliance processes at scale. - Strategic thinker: Ability to immerse yourself in fine details while keeping the broader organisational picture in mind. - Growth-oriented: Relentlessly curious and driven; always learning and spotting opportunities to develop yourself and others. - Proportionate and Collaborative: An obsession with balancing strong compliance with scalability and user experience, supported by exceptional interpersonal and communication skills. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Задачи: — разработка математической модели кейсов; — расчёт и настройка RTP, EV, House Edge; — расчёт вероятностей выпадения предметов; — variance / volatility и распределение выигрышей; — калибровка вероятностей под заданный RTP; — Monte-Carlo симуляции на 1–10+ млн открытий; — анализ экономики и прибыльности на большой дистанции; — оценка рисков и необходимого банкролла/резерва; — автоматический пересчёт модели при изменении рыночных цен CS2-скинов; — математическая проработка дополнительных игровых механик. Требования: — сильное понимание теории вероятностей и математической статистики; — опыт в iGaming, Game Math, Loot Boxes, Case Opening, RNG или игровой экономике; — будет плюсом: Python / NumPy; — опыт Monte-Carlo моделирования; — практический опыт работы с RTP и House Edge; — понимание экономики CS2-скинов; — примеры реализованных математических моделей. Условия: — долгосрочный проект; — после разработки базовой модели планируется постоянная работа над новыми режимами, механиками и балансом. При отклике нужно прислать кратко: опыт, примеры подобных проектов/расчётов, используемый стек и ориентировочную стоимость работы.

Location: Amsterdam Workplace: OnSite About Us Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi. About the Role Tebi is entering its scale-up phase of growth: opening new entities, launching new (financial) products and growing fast. Our Finance team is looking for a new member with 2-4 years of experience who will help build processes and structure to take us further, contribute towards a successful first-year audit in 2027 and help drive our growth. You will play a key role in our financial close and reporting, help lay the groundwork for the control framework, and support new entities as we open them. We’re looking for someone who thrives in an unstructured environment, is comfortable with ambiguity, and is passionate about automation to make finance run smarter. You will work closely with product, commercial and leadership teams. What You'll Do - Own key parts of the monthly financial close, ensuring accuracy and timeliness - Be an important control point, safeguarding the integrity of our financial reporting - Support the setup of financial processes and controls as we open new entities and work towards audit-readiness - Help design and build Tebi's control framework - Identify and implement opportunities to automate financial processes and support Tebi’s growth - Partner with our external auditors and manage the audit process for your areas - Turn financial data into insights that help the business make better decisions - Continuously improve and standardize processes as Tebi scales What You'll Need - 2-4 years of experience in financial control, accounting, or external audit (max 6 years of experience) - You thrive in an unstructured, fast-changing scale-up environment and don't need everything mapped out to make progress - A natural drive to standardize and improve processes, balanced with pragmatism about what's needed now versus later - Savvy with automation and AI tools, and genuinely interested in using them to work more efficiently - Solid grounding in accounting principles and financial reporting - Sharp attention to detail combined with strong problem-solving skills - Clear, confident communication, comfortable working closely with teams across the business If this speaks to you we can be the right fit. Learn more about how we work from our Recipe here: https://www.tebi.com/gb/careershttps://www.tebi.com/de/careers. Benefits - Start-up Equity - Competitive Salary - Lunch in the Office - Flexible Time-off - Team Events What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

Location: Paris Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Please make your application, including your CV, in English Language. We are a global compliance team headquartered out of London. About the role As a Senior Analyst – Permanent Controls, you will join the Permanent Controls team, a global Second Line of Defence (2LoD) function based across Paris and Mauritius. Reporting directly to the Head of Permanent Controls within the Compliance department, you will focus on the financial perimeter, exercising second-line control, independent oversight, and framework monitoring over the organization's finance domain. You will partner closely with the First Line of Defence (1LoD) to establish control standards, design control matrices, and provide guidance when needed. You will also execute 2LoD control plans, issue formal findings, and track recommendations through to resolution.   Sitting in the Second Line of Defense, the global Permanent Controls team serves as an ongoing, trusted advisor and objective challenge to operational teams (1LoD), helping them design robust controls and ensure operational integrity across the organization. Unlike periodic audit functions, Permanent Controls operates continuously to proactively identify vulnerabilities, standardize control frameworks, and foster a strong risk culture.   Note on Governance: This is a 2LoD function focused on ongoing control design, execution, and 1LoD enablement. It is distinct and independent from the Internal Audit (3LoD) function within Checkout.com.   Key responsibilities - Control Design: Collaborate with stakeholders to translate identified risks into comprehensive 2nd line control plans, standards, and templates. - 1LoD Enablement: Partner with the First Line of Defence teams to design, refine, and assess their control matrices, ensuring alignment with internal standards and regulators' expectations (ACPR, FCA..). - Execution & Testing: Formalize and execute second line permanent controls across critical perimeters, including: - Financial regulatory reporting across global entities (France, UK, US, etc.). - Accuracy of financial data, accounting standards, and reconciliations. - Internal financial processes, procedures, and statutory compliance (including the Order of 3 December 2014). - Safeguarding mechanisms (flow of funds, compliance with safeguarding measures, timelines, and incident monitoring). - Reporting & Escalation: Present detailed control findings and anomaly reports to the Head of Permanent Controls; track the implementation of remediation recommendations. - Proactive Continuous Improvement: Identify operational control gaps, take the initiative to propose practical solutions, and drive improvements to the overall control framework. - Tooling & Automation: Contribute to the implementation and optimization of automated control tools, tracking dashboards, and recommendation monitoring systems whenever possible.   About You - Experience: 5 years of experience in Financial Audit, Internal Control, or Financial Reporting within the financial services (banking, Fintech..) or payments industry. - Regulatory Context: Familiarity with regulatory frameworks and ACPR expectations is strongly preferred. - Mindset & Working Style: - Proactive & Autonomous: A "go-getter" who takes ownership, anticipates control gaps, and brings actionable solutions to the table rather than waiting for direction. - Naturally Curious: A drive to understand end-to-end business operations, data flows, and complex payment mechanics. - Rigorous & Analytical: Meticulous attention to detail with an ability to leverage data analytics to evaluate controls, transactions and processes objectively. - Languages: Fluency in French and English is required. - Communication: Strong stakeholder management skills, with the ability to communicate clear findings and influence decision-making across lines of defence.   Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Задачи: — Проектировать и развивать LLM/AI-системы и AI-агентов; — Строить многошаговые agentic workflows: routing, tool calling, state management; — Работать с Prompt Engineering и Context Engineering; — Управлять контекстом, памятью и состоянием диалога; — Реализовывать structured output и function/tool calling; — Строить RAG-пайплайны: chunking, embeddings, retrieval, reranking; — Интегрировать LLM с API, базами данных и внутренними сервисами; — Разрабатывать backend-сервисы на Go и AI-компоненты на Python; — Исследовать новые модели и подходы, быстро проверять гипотезы; — Выбирать модели с учетом качества, latency и стоимости; — Строить систему оценки качества: evals, regression tests, golden datasets, LLM-as-a-judge; — Анализировать логи и traces, улучшать качество и стабильность агентов; — Реализовывать retries, fallbacks, timeouts и обработку ошибок; — Доводить решения от прототипа до стабильного production. Требования: Go: — production-сервисы; — REST/gRPC API; — concurrency; — работа с БД; — микросервисная архитектура. Python: — AI-сервисы и backend; — async; — API; — обработка данных; — быстрое прототипирование. Также важно: — Практический опыт разработки production-приложений с LLM; — Понимание архитектуры современных AI-систем: prompt → context → tools → agent → state → evaluation; — Опыт Prompt Engineering: system prompts, few-shot, prompt chaining, structured output; — Опыт Context Engineering: memory, summarization, динамическая сборка контекста; — Опыт создания AI-агентов и agentic workflows; — Работа с LLM API и понимание особенностей разных моделей; — Понимание RAG: embeddings, vector search, retrieval, reranking, hybrid search; — Понимание evals, regression testing и анализа production-логов; — Опыт с PostgreSQL, MongoDB, Redis, Docker, Git, CI/CD; — Понимание production-подходов: observability, scalability, latency, retries, fallbacks и контроль стоимости. Будет плюсом: — Multi-agent системы; — LangGraph; — MCP; — Langfuse / LangSmith; — Elasticsearch / OpenSearch; — Open-source LLM: Qwen, Llama, DeepSeek и др.; — vLLM / Ollama; — Kafka / RabbitMQ; — Kubernetes; — Оптимизация token usage, latency и стоимости LLM; — Guardrails и защита от prompt injection; — Highload-системы. Ищем инженера, который воспринимает LLM не как простой API, а как компонент большой production-системы. Важно уметь проектировать всю логику вокруг модели: какие данные передать в контекст, какого агента или инструмент вызвать, как проверить результат, обработать ошибку и определить следующий шаг. Ищем software engineer с сильной AI/LLM-экспертизой, который умеет не только написать хороший промпт, но и довести всю систему до стабильного production-решения.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Customer Marketing Manager to make sure our most important messages are backed by customers who can speak to them. This role works across regions and customer segments on special projects tied to the company's top priorities. When we launch a new model, feature, or initiative, you'll find the customers who can speak to it and get them on the record. We're looking for an excellent communicator who can turn customer stories into multiple formats that flex across channels. This often means working under compressed timelines and leading customer storytelling on some of the most important projects at Anthropic. You'll work closely with Product Marketing, Sales, Brand, Comms, Customer Marketing segment leads, and the writers on our team. The right person has done both product marketing and customer marketing, and has a reporter's nose for a good story. Key responsibilities Own the customer evidence strategy for the company's top priorities, deciding which claims need customer proof, which customers are best placed to back them up, and where we have gaps to close Bring what customers are telling us back to Product Marketing and Sales, so our messaging reflects what lands with buyers Stand up new programs as company priorities shift, setting the scope, the customer list, and the plan to ship quickly Lead the customer plan for major model and product launches, from which customers we engage with to how their voices show up in the announcement Partner with Brand and Creative on which customer stories anchor our campaigns and how we tell them Build proof point libraries and enablement around our key messages, so account teams know which story to use and when Shape the customer narrative our executives use in keynotes, posts, and customer conversations Prioritize customer asks when several teams want to tap the same customer, and work with Comms, Legal, and customer executives to get high-profile stories approved Minimum qualifications Can read a messaging doc and quickly spot what customer proof it needs and where the gaps are Are a strong writer and interviewer who can get a customer to say something specific and true, then turn it into a story people want to read Have supported product launches and campaigns with customer proof, often on tight timelines Have built sales enablement that sales teams kept using after launch week Are comfortable with technical products and can explain/write what a customer built, and why it matters, in plain language Know how to work across a lot of teams without formal authority, and can say “not yet” when a request doesn't fit the plan Have good judgment about when a story is ready and when it needs more work Enjoy moving between very different projects, sometimes in the same week Already use Claude to help with drafts and interview prep Preferred qualifications Have 7+ years in B2B marketing, with time in both product marketing and customer marketing Worked in AI or developer tools A background in journalism or editorial A background in Product Marketing or Messaging Written keynotes or LinkedIn posts for executives Run message testing or win/loss interviews to learn what buyers respond to Worked with Comms or analyst relations on announcements that featured customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: NZ: Remote Worker Workplace: Remote The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Victoria Remote Worker Workplace: Remote The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3) Workplace: Hybrid The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact Xero is trusted by millions of small businesses and their advisors around the world. As a Senior Data & AI Governance Specialist, you will help shape how we manage data as a strategic asset and govern AI responsibly, so our teams can innovate with confidence and our customers can continue to trust us with what matters most. Reporting to the Director of Data & AI Governance, you will move well beyond traditional compliance to provide hands-on enablement services that bridge the gap between policy and practice. This is a role where you will partner with teams across the business to co-design pragmatic data and AI governance approaches that tackle real-world challenges like bias, transparency, and explainability. You will advise decision-makers on where to set governance guardrails so that Xero teams are empowered to experiment and build safely, consistent with our Responsible Data Use Commitments. The team and how they connect You will join the Data & AI Governance team, which sits within Xero’s Legal function. The team works closely with Product, Privacy, Security, Regulatory, Risk, and Government Relations to ensure data and AI practices across the business are robust, responsible, and deliver customer trust. Together, you will build governance that is both rigorous and genuinely useful for the teams relying on it. Initially, the role will focus on - Evolving Xero’s privacy, data and AI governance frameworks to enable rapid, responsible data use and AI adoption and deployment across the business - Partnering with cross-functional teams to translate governance policies and requirements into practical, user-friendly guidance at scale and support their adoption - Delivering high-impact literacy programmes and tailored educational resources that uplift data and AI capability across Xero - Working with Regulatory, Privacy, and Risk functions to keep Xero ahead of evolving legislation and customer expectations in the data and AI space Where and how you can work This role is open to candidates based in Melbourne, Sydney, Auckland, or Wellington, with fully remote working also available for candidates within three hours of the AEST time zone across Australia and New Zealand. Xero offers flexible and hybrid working arrangements. For hybrid team members, our boost days bring the team together in person for connection and collaborative work, with the rest of the week flexible to suit how you work best. Here are some of the things we’re looking for - You bring deep knowledge of data governance frameworks and practices, including experience setting up stewardship models, governance forums, and supporting tooling such as data catalogues and data quality platforms - Your recent hands-on experience in AI governance means you can confidently understand AI systems, and navigate the ethical, regulatory, and operational challenges of responsible AI at scale - You have worked with engineers and other technical experts, giving you technical depth in areas like data architecture, quality and lineage and hands on experience bridging policy and technical implementation - Translating complex regulatory and policy requirements into clear, actionable guidance for diverse audiences is something you do well and enjoy - you are comfortable explaining governance concepts to technical SMEs, and technical concepts to policy stakeholders - Colleagues describe you as someone who builds trust quickly, communicates with clarity, and has the courage to raise and work through difficult topics - Familiarity with regulations such as GDPR, the EU AI Act, and CCPA, and certification frameworks such as ISO 27001/SOC2 strengthens your approach to governance design - A growth mindset and a genuine drive to Go Further means you are always looking for ways to automate, improve, and share what you learn with the people around you Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. WHAT ARE WE LOOKING FOR: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Payments or financial knowledge is a plus, but not a necessity   How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/