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Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Role Summary: As a Customer Support Specialist, you’ll be on the front lines of customer interaction, playing a vital role in delivering exceptional service and resolving inquiries efficiently and empathetically. In this role, you will gain hands-on experience within the fast paced, ever evolving mobile app ecosystem and have the opportunity to engage directly with executives and team members from high growth companies. You’ll also collaborate across departments, working closely with product, engineering, and operations teams to ensure a seamless customer experience and to provide feedback that helps shape the future of our platform. Fluency in French (written and spoken) to effectively support French-speaking clients and partners. Full time / London - Hybrid (2-3 days in office) - French Speaking Responsibilities: - Provide expert support to customers and the internal sales team by responding to queries in a timely and accurate manner. - Troubleshoot and resolve issues by gathering technical details, replicating problems, and using internal tools to identify root causes. - Collaborate with cross functional teams to escalate complex issues, log bugs, and clearly communicate technical solutions to users of varying technical backgrounds. - Provide high priority support and platform overviews on an ad hoc basis to a designated group of strategic accounts. - Act as a bridge between internal teams, sharing relevant customer feedback to improve the platform. - Identify gaps in resources based on common customer pain points. - Educate users on new updates, tools, and best practices to tailor to their use cases - Report on key customer service metrics and identify noteworthy trends to the Team Director. Qualifications: - At least 4-5 years of experience in a data analysis customer facing role (customer service, care, or success). - Fluency in French/English - Background in mobile analytics, consumer behavior, or digital advertising strongly preferred. - Passionate about providing exceptional customer experience. - Strong attention to detail and ability to manage multiple tickets or issues at once. - Comfortable working with and supporting global brands across diverse markets. - Genuine interest in building and growing a career within customer support. - Technical experience in initial troubleshooting of front end bug/network issues. - Ability to read and interpret data visualizations or logs to guide troubleshooting. - Experience working cross functionally with Product, Engineering, or Data teams. - Proactive in spotting recurring issues and patterns in customer inquiries. Nice to have: - Hands-on experience with platforms such as Zendesk, Mailgun, Kibana, and Salesforce. - Knowledge in assisting global users with API questions, data import/export execution, and platform integrations. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview You lead the team that owns the analytical backbone of how the Operations Department understands its own performance. Sitting within the Strategic Operations & Analytics team, you manage a small team of analysts whose work is used every day by leaders across CX, Fraud, Payments, WFM, and VIP. You also remain directly involved in the work. This is a hands-on manager role, roughly an even split between leading the team and doing the work. You will write and optimize SQL, review your team's models and analyses, and own complex cross-functional initiatives end-to-end. You will set the bar for that work, develop the people doing it, and be accountable for what the team ships. You’ll work closely with the Sr. Manager of Strategic Operations, who provides strategic direction, executive alignment, and support navigating priorities and cross-functional dependencies. We are actively building toward an AI-first way of operating, and this team is central to it. The right person is technically sharp, relentlessly detail-oriented, and genuinely curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself and your team to a high bar. What You'll Do Leading the team Manage, coach, and develop a team of 2–3 analysts, including goal setting, regular feedback, performance management, and career development. Set and hold the technical and analytical bar for the team's output, through direct review of SQL, dbt models, dashboards, and analyses. Manage day-to-day prioritization across the team’s queue of Ops stakeholder requests, escalating broader tradeoffs and resourcing decisions to the Sr. Manager when needed. Analytical work and insights Personally lead complex, cross-functional analytical initiatives end-to-end from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation. Diagnose root causes in the data rather than symptoms, and translate the diagnosis into a concrete recommendation. Lead scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions - shaping how the question itself gets framed. Set standards and guide the team’s approach to Ops dashboards and reporting, ensuring leaders have clear visibility into performance through well-defined KPIs and documented assumptions. Present findings to operational stakeholders and senior leadership, and defend your methodology under scrutiny. Analytics foundations and automation Own the quality and reliability of the dbt models and analytical datasets maintained by the Ops Analytics team. Partner with central data teams as needed on upstream pipelines, data-platform needs, etc., representing Ops requirements and escalating reliability issues when needed. Help the team replace recurring manual data pulls with maintainable reporting, automation, and alerting. AI enablement Partner with the Sr. Manager and Strategic Operations leaders on the Ops analytics AI roadmap, bringing an analytics perspective to use-case prioritization, data readiness, and validation. Ensure the team provides the trusted data, metrics, and evaluation frameworks needed to support agent development. Track and report on the performance of deployed agents against agreed-upon Ops goals. Help establish where AI can be trusted in analytical workflows and where human review and judgment should remain in the loop. Required Qualifications 6+ years in analytics, business intelligence, data analytics, or strategic operations. 2+ years directly managing analysts as direct reports , including performance management, hiring, and career development. This is not a first-time manager role. Advanced, hands-on SQL. You write, QA, and optimize complex queries yourself today, and you review others' work at that level. This role includes a live, on-screen technical exercise. Working fluency in dbt: You can build and review models, make sound design decisions, and identify issues in your team’s work. Demonstrated experience owning complex, cross-functional projects end-to-end, from ambiguous ask to stakeholder-ready recommendation. Experience building and maintaining dashboards in Sigma, Tableau, or a comparable tool. Strong stakeholder management: you communicate complex problems clearly to senior leaders and propose alternative approaches when the data warrants it. High attention to detail - you and your team catch data quality issues before they surface in leadership reporting. Preferred Qualifications Experience supporting AI/ML workflows, agent builds, or automation initiatives. Python or a similar scripting language for data manipulation and automation. Familiarity with operational KPIs across customer support, fraud, payments, or workforce management. Experience in gaming, fintech, or sports. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-JM3 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $138,000 — $170,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: United Kingdom Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. What's the role In this role you’ll develop innovative, challenger data strategies across a portfolio of clients. As part of the growing data strategy community at Brainlabs you will have an positive impact on our data strategy capabilities and value-add for our clients. You’ll build mid-term data-centric strategic plans that deliver real business performance growth for clients using data, analysis and insight that aligns with and delivers the overall growth strategy for the client. You’ll know how to drive marketing transformation through data insights, diagnose brand challenges effectively and build frameworks to measure client brand growth and media effectiveness. What you do You’ll diagnose data challenges and set the overarching strategic vision for key clients. Drive adoption and champion usage of technology (AdTech, MarTech and Brainlabs proprietary Tech) for your clients. Create first party data (1PD) strategies and unlock access to this data for media execution Provide data leadership in pitches, being responsible for the data and technology thread across all planning and media activation ensuring real client growth. Contribute to the growth and strategy, helping to shape the future direction of the Data Strategy team and wider strategy and planning team. Who you are Considerable experience of delivering data strategies to leading clients either within a market or across a region Proven data capabilities and ability to utilise data insight to drive media and marketing effectiveness A great storyteller capable of translating data into real world insights You’re a ‘ knowledge builder’  and are excited at growing and coaching those around you A innovative thinker, able to create and deliver challenger strategies How you succeed You will live our culture code every day! Annual data revenue target met, demonstrating YoY growth for your Client Hives You’ll become an indispensable strategic adviser for your clients Award wins for your strategic data approach You’ll have proof-point where you have effectively articulated the Brainlabs data strategy proposition, products, tech and services Have positive feedback based on how your strategies have answered clients’ marketing challenge and grown the team Have a ‘book of value’ which showcases, through case studies, how your work has delivered material business growth/value for clients. Increasing profile in the media world in your market prompting Brainlabs. What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Almaty, Kazakhstan Workplace: OnSite GTM CONTENT/COPYWRITER WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annualized revenue, 32M+ 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. ABOUT THE ROLE We're looking for a Copywriter to own the written voice of Higgsfield across B2B and brand channels. You'll write everything from sales decks and landing pages to LinkedIn posts, launch campaigns, and ad creative, turning product capabilities into sharp, persuasive messaging for enterprise buyers, agencies, and creators. This is a hands-on role for someone who writes exceptionally well, moves fast, and can take a rough brief to publish-ready copy in hours, not weeks. WHAT YOU'LL DO FUEL LIVE DEALS - Write copy for sales decks, one-pagers, and vertical pitch materials that enterprise and partnerships teams use in live deals. - Prepare copy for events, partner presentations, and program materials (such as certification and partner programs). OWN WEB AND LAUNCH COPY - Own landing page, case study, and website copy, from headlines and value props to CTAs, working with designers and web to ship. - Build messaging for product launches (features, API, enterprise plans) and adapt it across web, social, email, and paid. WRITE THE PUBLIC VOICE - Ghostwrite and edit LinkedIn content for the company and leadership: thought leadership, launch posts, and recaps in each author's voice. - Write ad and social creative copy, plus clear briefs for designers and video creators. BUILD THE MESSAGING SYSTEM - Develop and maintain positioning, messaging frameworks, and a brand voice guide, including audience variants for enterprise, agencies, and creators. - Test messaging, read performance data, and iterate on what converts. YOUR MUST HAVES - 3+ years of copywriting experience, ideally B2B SaaS, tech, or a creative or marketing agency. - Exceptional written English: concise, confident, and persuasive, with a strong command of business communication. - A portfolio that shows range: sales or enterprise materials, web copy, and social or thought leadership content. - Ability to understand a technical product (AI video and image generation) and explain it in terms of business outcomes. - Comfort switching voices: enterprise buyer, creative professional, founder or executive. - Fast execution: you take feedback well, iterate quickly, and don't wait for perfect. - Strong self-editing and attention to detail. Nothing goes out with a typo or a vague claim. NICE TO HAVES - Experience in AI, generative media, or creative tools. - Russian language skills. - Experience with localization or writing for international markets (e.g., Japan, MENA, Central Asia). - Familiarity with HubSpot, Figma, or Notion. - Understanding of performance marketing and conversion copywriting. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in. - Full-time position.

Location: Remote - US Sr. Developer Relations Manager Backblaze — Remote, US Compensation: $172,000–$215,000 base + equity About Backblaze Backblaze is the object storage layer for AI and data-intensive workloads, fueling customer success with cloud storage purpose-built for scalable performance and economics. We make customers unstoppable by solving their toughest storage challenges. Today we manage nearly 6 billion gigabytes of data for 500K+ customers across 175+ countries with fast growth among Neoclouds, GenAI companies, and companies reliant on data–heavy workloads. Developers are at the center of our next chapter, and we're serious about earning their trust. About the Role Developer relations is evolving quickly. Coding agents, informed by reference architectures and machine-readable documentation, are increasingly making integration decisions on behalf of developers. And trust, transparency, and human interaction are more important than ever as open source ideals and corporate agendas are weirdly attacked, limited, or promoted by unexpected sources and trends. Backblaze B2 Cloud storage was launched as a result of developer demand and has been committed to the developer ecosystem since day one. Today, we are seeking a leader who can help us become more present and trusted than ever before in this space, both as the storage default for agent-led projects and as a leading source of support, inspiration, and enablement for developers who need storage for whatever they’re building. As Sr. Developer Relations Manager, you'll work across a strong set of existing assets — a mature docs team, an engineering team focused on AI ecosystem integrations, our Flamethrower Startup Program, a content org, and an outward-facing SE team — and coordinate their outputs into a coherent, credible developer presence that earns mindshare where it matters most. This is a program-defining role for someone who thinks in systems, works backwards from adoption goals, knows how to make a company technically credible with developers who haven't heard of it yet, and is comfortable both channeling and being the face of developer relationships at Backblaze. What You'll Own Developer Presence in the Agentic Stack The primary goal of this role is to ensure Backblaze B2 is the best storage layer for developers and for their agents. That means understanding how AI coders discover and evaluate infrastructure tools today: through MCP servers, coding agent contexts, reference architectures, SDKs, and machine-readable documentation. You'll work with the internal AI team to define what "agent-ready" means for Backblaze and drive execution against it across engineering, docs, and content. Cross-Functional Coordination This role starts as an individual contributor, but you'll have real influence over a strong set of resources: an engineering team building integrations into AI tooling (MLFlow, ComfyUI, Hugging Face, popular agent frameworks), a docs team that can be directed toward structured, agent-consumable formats, a content org that can amplify what you build, and an SE team that can extend your enablement work, among a number of others at the company. Your job is to coordinate these teams around a unified developer strategy, keep that strategy moving, and share its outputs with the broader world. Community and Ecosystem Developers trust other developers. You'll underscore Backblaze's credibility in the communities where AI builders live: GitHub, Discord, open source projects, developer events, and the growing ecosystem of AI infrastructure tooling. You'll elevate internal technical voices, use their expertise to build your own thought leadership in the space, and partner with ecosystem players, and show up in a way that is earned, not marketed. Critically, you should have a presence in this community before coming to the role. Developer Feedback Loop You'll maintain a tight feedback loop from the developer community back to product and engineering — surfacing adoption friction, unmet integration needs, and emerging patterns worth prioritizing. The Flamethrower Startup Program gives you direct access to early-stage builders who can serve as signal-rich canaries for what's working and what isn't. Metrics and Program Accountability You'll define what success looks like — developer signups, activation rates, B2 adoption in AI frameworks, community engagement, content reach — and own progress against it. We're building this program to drive real revenue, and you'll be expected to connect the dots between awareness and conversion. Success in this role opens the door to bringing on, or from elsewhere in the company, developer resources to grow the program. What We're Looking For Meaningful DevRel, developer marketing, or developer experience leadership at a cloud infrastructure, open source, or AI tooling company. You've built or significantly grown a developer program, not just contributed to one. Understand how agentic workflows are reshaping how developers discover and integrate infrastructure tools — and you have opinions about what that means for DevRel strategy. Technically credible. You can read a codebase, evaluate an SDK, write a working integration, and have a real conversation with an engineer about tradeoffs. You don't need to be a full-time SWE, but you need to have been one, or close to it. Worked, or started, without a large team. You know how to amplify yourself through cross-functional relationships, external partners, and community rather than headcount. Strong communicator — to developers externally and to leadership internally. You can write a crisp technical tutorial and a clear exec summary with equal ease. Existing presence in developer communities. A following, conference talks, open source contributions, a technical blog — some signal that developers pay attention when you show up. Strong plus: Direct experience with model training, data processing or generative media Familiarity with how coding agents (Claude Code, Cursor, Copilot, etc.) surface and recommend infrastructure tools Experience working with or building on top of open source frameworks in the AI/ML ecosystem (MLflow, DVC, Ray Data, WebDataset, and MosaicML Streaming) Prior experience running or contributing to a startup/developer program (accelerator, cohort model, or similar) What You'll Have to Work With You won't be starting from scratch. You'll work closely with: A mature, capable docs team that can be directed toward agent-consumable documentation formats and structured reference content A strong engineering team dedicated to integrating Backblaze into the AI tooling ecosystem — building connectors, working on external integrations, and driving internal product improvements for developer use cases Flamethrower , our startup program, which is already generating community energy and early-adopter signal among AI builders An outward-facing solutions engineering team that can extend your enablement work with hands-on technical support A content org that can help produce and amplify developer-facing assets Active strategic work from Rawkode Academy laying the DevRel foundation: audit, persona validation, content models, and engagement strategy Why This Matters Now Developers are making storage decisions earlier in the stack than ever before — often before they've spoken to a salesperson, often through a coding agent recommending a reference architecture. Backblaze has the right product, the right price point, and a growing engineering investment behind this motion. What we need is the person who can translate that into developer conviction at scale. The window to establish Backblaze as the default AI storage layer is open now. This role exists to make sure we don't miss it. Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro plus a generous workstation stipend Childcare bonus Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $172,000 - $215,000 plus 20% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer. Backblaze is proud to be an Equal Opportunity Employer. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education.

Location: Paris Workplace: OnSite Are you looking to have an impact on the daily life of millions of entrepreneurs in France (and tomorrow in Europe)? Are you looking for a work environment that values trust, proactivity, and autonomy? Then Pennylane is the right place for you !   Our vision We aim to become the most beloved financial Operating System of French SMEs and Accounting Firms (and soon, European ones). We help entrepreneurs rid themselves of time-consuming tasks related to accounting and finance while providing them with access to key financial information to assist in making the best decisions for their business.   About us Pennylane is one of the fastest growing Fintechs in France (and soon to be in Europe!)   In 5 years of existence, we’ve managed to : 💻 Make ourselves known as a groundbreaking accounting and financial software for small businesses and their accountants 💰 Raise a total of €400 millions, including from Sequoia, the famous fund from the Silicon Valley who invested early in companies like Google, Facebook, Airbnb, Stripe, Paypal and much more... 👨‍👩‍👧‍👦 Grow from 7 cofounders to 1000 happy Pennylaners : we’re now recognized as one of the greatest places to work in France (and also remotely), with a 4.6/5 rating on Glassdoor https://www.glassdoor.fr/Avis/Pennylane-France-Avis-E4171708.htm. 🌍 Build an international environment with more than 25 nationalities, with a strong remote-friendly culture, where 30% of the employees are already working from all parts of Europe 🤝 Earn the trust of thousands of customers and accounting firms and obtain outstanding ratings https://www.google.com/search?q=pennylane&ei=O9pOYvm0Co-blwSmhKmIAw&ved=0ahUKEwi5vsWL-4H3AhWPzYUKHSZCCjEQ4dUDCA4&uact=5&oq=pennylane&gs_lcp=Cgdnd3Mtd2l6EAMyDQgAEIAEELEDEIMBEAoyCwguEIAEEMcBEK8BMgcIABCABBAKMgcIABCABBAKMgUIABCABDIFCAAQgAQyBQgAEIAEMgcIABCABBAKMgcIABCABBAKMgcIABCABBAKOgcIABBHELADOgkIABCwAxAKEEM6CgguEMcBEK8BEAo6BggAEBYQHjoICAAQFhAKEB46DQguEIAEEMcBEK8BEApKBAhBGABKBAhGGABQ7QFY6wVgugdoAXABeACAAUiIAbMCkgEBNZgBAKABAcgBCcABAQ&sclient=gws-wiz 🚀 Already more than 900,000 small and medium-sized enterprises (SMEs) and over 6000 accounting firms use Pennylane in France!   In 2024, we implemented an organizational structure built around business 'tracks'. This approach integrates key stakeholders across marketing, sales, product, and customer care into unified teams focused on specific product lines or client segments. Each track operates as a mini-business, empowered with dedicated resources (e.g., product marketing, data analytics, and operational support) and direct accountability for performance.     Why this role matters at Pennylane   As Chief of Staff to the CTO, you operate as a senior leader in the Tech organisation. Your leverage does not come from managing teams but from owning the hardest problems that sit between them, and from being technical enough to earn the trust of the other engineering leaders. You are the person the CTO trusts with ambiguous, org-wide problems. You turn that ambiguity into a clear framing, a decision, an owner and a measurable outcome. This is not a coordination role. You are expected to have opinions on engineering strategy, staffing choices and technical trade-offs, and to defend them in front of the Tech leadership team.   Team and Context Pennylane's Tech organisation is 70+ squads, each led by an Engineering Manager working with a PM and a Product Designer. We serve 1.5m+ customers and we want to scale in Europe. At that size, the hard problems are no longer inside a squad: how the organisation plans, how it decides, how it measures itself, how it invests in foundations without stalling product delivery. That is your perimeter. You report directly to Quentin, Co-founder & CTO. Your influence comes from the scope of what you own and from credibility with senior engineering leaders, which is why we ask for a technical background. As the organisation grows, this role can evolve towards a management position. Key missions Engineering strategy and transversal initiatives - Own the strategic, cross-organization initiatives that no single squad can carry: platform or architecture programmes, reliability and quality step-changes, engineering productivity, technical debt paydown - Frame the problem, build the technical and business case, secure alignment across Engineering, Product and Security to drive execution - Lead the Tech side of company-level programmes (e.g. European expansion, major compliance or infrastructure shifts) alongside the rest of the Tech leadership Planning & Performance tracking - Own the Tech planning cycle: collect the inputs, surface the trade-offs (capacity vs. platform, run vs. new bets), and drive the arbitration with Tech leadership - Drive the definition and calibration of Tech OKRs, and hold the organisation accountable - Define what "good" looks like for a 70+ squad engineering organization and build the metrics that measure it (delivery cadence, reliability, quality, staffing and attrition, engineering satisfaction) Decision-making and leadership cadence - Own the Tech leadership operating system: staff meetings, QBRs, roadmap and architecture reviews. You design them, set the agenda, write or commission the pre-reads, frame the decisions to be made, and make sure decisions land - Maintain the CTO's decision log: what was decided, by whom, with what trade-off, and what happened next - Raise the quality of decision-making across the Tech leadership team Communication - Lead internal and operational communications across the engineering organization, building clear messaging systems from board decks down to team-wide updates Who you’ll work with? - CTO and Tech leadership (Head of Engineering / Head of Data / Senior Engineering Managers) - Rest of the leadership (CPO, VP Strategic Initiatives) - Other relevant teams (e.g. Security, Finance, People) Who we’re looking for Must-have - An engineering degree (engineering, computer science or equivalent scientific curriculum) - Technical fluency: you can read a design doc, follow an architecture discussion, challenge an estimate or a trade-off, and be taken seriously by senior engineers - 7-10 years of experience, including significant time inside a tech organisation at scale (multiple squads, platform teams), where you have lived the problems of scaling engineering - A track record of owning complex, cross-organisational initiatives from framing to measurable outcome with senior stakeholders - Outstanding written communication: this role produces documents that senior people act on - Fluency in English Nice-to-have - A hands-on engineering past: software engineer, engineering manager, Technical Program Manager, architect or equivalent - Experience as a Chief of Staff, VP/Director of Engineering Operations, or in a strategy & operations function inside a product-led tech company What you can expect? Within one month - You'll complete the company and Tech onboarding, including our application, accounting domain and engineering practices - You'll have met the Tech leadership team and formed your own view of where the organisation loses time, quality or alignment - You'll have taken ownership of the leadership cadence and the next planning milestone Within 3-6 months - You'll be leading selected org-wide strategic initiatives end-to-end, with a measurable target - The Tech organisation will have a metrics picture it trusts and uses to make decisions - You'll be a recognised voice in the senior tech community at Pennylane, consulted on decisions rather than just informed of them - You'll be shaping the engineering narrative that the rest of the company and the board hear Recruitment Process - Screening interview with Barbara - Senior Recruiter (30 mins) - An interview with Eric - VP Strategic Initiatives (1h) - A Business Case to prepare at home and to present (1h) - A final interview with Quentin - CTO (45 mins) What do we do to make your work life easier   🌴 Wherever you are based, you will get 25 vacations days paid by Pennylane 💵 You’ll have a competitive compensation package 📈 You'll get company shares to enjoy a piece of the success story you're building with us 🏡 You’ll have a budget to turn your home into a more comfortable workspace, as well as a monthly allowance to work from a coworking space whenever you feel like it ⛹️ Through our partner Gymlib, you’ll have access to 8000 fitness spaces in Europe and more than 300 activities related to wellness 🇬🇧 You’ll have access to Busuu https://www.busuu.com/fr/p/start-learning?utm_medium=cpc&utm_source=google&utm_campaign=FR_FR_Web_Brand_E&utm_group=FR_FR_Web_Brand_E&utm_term=busuu&gclid=CjwKCAjw682TBhATEiwA9crl34OqnbJDliinEXFZNqOcb6391KXrgq4ZDDwEiwMdtTdtuVULvuF7HhoCgZEQAvD_BwE&gclsrc=aw.ds to perfect your English or your French 💻 You’ll get the latest Apple equipment 🏢 Depending on the teams and the requirements of the position - you'll be able to work remotely from your country of residence, as long as it is in Europe and within a maximum time difference of two hours from the CET time zone 🎉 We are committed to regularly coming together for company events such as Tech Days (which bring remote Pennylaners together every 3 months) or our annual company seminar, fostering significant moments of cohesion for everyone.   If you are based in France, you will have a French contract following French regulation on top of the additional perks : 6 to 12 RTT, 5 weeks PTOs, lunch credits (Swile), Alan Blue healthcare cover and regular events in cities where Pennylaners are mostly presents (Lyon, Bordeaux, Nantes…) We're working on providing those last advantages to our people based outside of France as well, but it can be quite more complex depending on different countries.   Who are we looking for ? To thrive at Pennylane, you need : -To speak English (level is assessed and appreciated according to the department you’re applying to) -To be energized by an ever-shifting work environment -To be highly collaborative (within your team or other stakeholders) -Sufficiently experienced to prioritize business-led actions on your day to day activity   We know that some people are less likely to apply than others, if they don’t feel like they meet the full list of criteria. If you’re hesitating, we encourage you to apply : who knows, it might be the start of a meaningful and long-lasting collaboration.   Important information for candidates Recruitment scam attempts are on the rise. We invite you to remain vigilant during your exchanges. Applications through official channels only : apply exclusively through our job postings published on our official platforms (career site, official partner pages). Always verify the sender's email address: our communications are sent from professional email addresses with the domains @pennylane.com or @pennylane-partners.com We will never ask you for payment or financial information (bank details, payment for an interview, equipment purchases, etc.) as part of the recruitment process. If such a request is made to you, it is fraudulent. We invite you to not respond and to report it to us immediately.   We also want to emphasize that we fully embrace diversity, equity and inclusion and that we’re doing our best to create a safe and inclusive environment. We are committed to providing an equal employment opportunity regardless of gender, sexual orientation, origin, disabilities, or any other traits that make you who you are. If anything, diversity makes us a more fun place to work at. 🇫🇷 Données personnelles Pennylane traite vos données pour gérer votre candidature et évaluer votre adéquation au poste. Si votre candidature n’aboutit pas, vos données peuvent être conservées 2 ans à compter de notre dernier échange ou de la clôture du recrutement afin de constituer & gérer un vivier de candidats. Vous pouvez vous opposer à tout moment et demander la suppression de vos données en écrivant à : dpo@pennylane.com. dpo@pennylane.com Notre data policy https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇬🇧 Personal Data Pennylane processes your data to manage your application and assess your suitability for the position. If your application is unsuccessful, your data may be retained for 2 years from our last exchange or the closing of the recruitment process, in order to build and manage a candidate pool. You may object at any time and request the deletion of your data by writing to dpo@pennylane.com. Learn more https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇩🇪 Personenbezogene Daten Pennylane verarbeitet Ihre Daten, um Ihre Bewerbung zu bearbeiten und Ihre Eignung für die Stelle zu beurteilen. Sollte Ihre Bewerbung nicht erfolgreich sein, können Ihre Daten bis zu 2 Jahre ab unserem letzten Austausch oder dem Abschluss des Rekrutierungsverfahrens gespeichert werden, um einen Kandidatenpool aufzubauen und zu verwalten. Sie können jederzeit Widerspruch einlegen und die Löschung Ihrer Daten beantragen, indem Sie an dpo@pennylane.com schreiben. Mehr erfahren https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement 🇪🇸 Datos personales Pennylane trata sus datos para gestionar su candidatura y evaluar su idoneidad para el puesto. En caso de que su candidatura no sea seleccionada, sus datos podrán conservarse hasta 2 años a partir de nuestro último contacto o de la finalización del proceso de selección, con el fin de constituir y gestionar una reserva de candidatos. Puede oponerse en cualquier momento y solicitar la eliminación de sus datos escribiendo a dpo@pennylane.com. Más información https://www.pennylane.com/fr/vos-donnees-personnelles-recrutement

Location: United Kingdom Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Senior CSM at 1Password, you own and strategically manage a portfolio of customers – driving value realization, revenue retention, and expansion outcomes that consistently exceed expectations. You operate with full commercial autonomy: advancing expansion opportunities independently, engaging VP and C-suite stakeholders as a trusted advisor, and managing complex renewals without escalation. Beyond your own book, you raise the bar for the team through mentorship, playbook contributions, and peer enablement. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within the UK. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 6+ years in a customer-facing, consultative, or technical role in SaaS – Customer Success, Solutions Engineering, Technical Account Management, or IT/security leadership. - Demonstrated track record of exceeding retention, adoption, and expansion outcomes; experience recognized with performance distinction is a plus. - Proven ability to run executive business reviews with VP and C-suite stakeholders. - Background in cybersecurity, IAM, identity security, or enterprise IT preferred; former 1Password power user is a strong plus. - Strategic success planning and multi-threaded stakeholder management across a complex portfolio. - Commercial acumen: independently qualifies, advances, and documents expansion opportunities; manages negotiations without oversight. - Designs and applies AI-assisted workflows to commercial execution; documents use cases in a shareable format. - Strong Gainsight and Salesforce hygiene; consistent forecasting discipline. - Highly autonomous; manages complex accounts without requiring managerial direction. - Commercial thinker who connects customer outcomes to expansion potential naturally. - Strong executive presence – adapts messaging across technical, operational, and C-suite audiences. - Elevates teammates through knowledge sharing and informal mentorship. What you can expect: OWN AND GROW YOUR BOOK OF BUSINESS - Independently manage a portfolio of moderately to highly complex accounts – adapting success plans to each customer’s context without manager guidance. - Maintain full success plan coverage; produce documented best practices and playbooks, applied broadly across accounts with measurable KPI improvement. - Proactively identify and mitigate renewal risks; close risk CTAs with a high rate of success within defined timeframes. DRIVE ADOPTION & VALUE REALIZATION - Achieve strong Executive Sponsor attendance in EBRs across segments; EBRs are value-driven, data-backed, and consistently advance renewal confidence. - Maintain commercial intelligence across strategic accounts – budget cycles, org changes, compliance mandates, and stack rationalization. - Translate advanced 1Password capabilities into clear outcomes for VP and C-suite stakeholders; tie adoption to measurable ROI and long-term advocacy. LEAD REVENUE RETENTION & EXPANSION - Achieve strong amendment and renewal upsell win rates; proactively source and advance expansion opportunities with documented context. - Maintain forecasting hygiene with minimal blank or unmodified renewals approaching subscription end. OPERATE WITH STRATEGIC RIGOR - Manage commercial objections, renewal negotiations, and competitive conversations independently – without escalation for standard to complex scenarios. - Build and present business cases to customer champions; advance deals with enough depth to move through the pipeline with AE alignment. ACT AS A TRUSTED SECURITY ADVISOR - Deep working knowledge of the full 1Password product suite; design tailored success journeys connecting feature adoption to measurable business outcomes. - Incorporate regulatory context, breach patterns, and competitive dynamics into EBRs with confidence. - Design and share AI-assisted workflows with teammates in a replicable, documented format. COLLABORATE & ENABLE - Lead joint account planning with your AE; cited by AEs as a proactive commercial collaborator who improves deal outcomes. - Mentor Level B CSMs through call shadowing, ad hoc coaching, or onboarding support. - Lead or co-lead cross-team initiatives; contribute tools or improvements adopted by peers. MONTH 1 – ONBOARDING & FOUNDATION - Develop fluency in 1Password’s full product suite, CS methodology, and commercial motion. - By the end of Month 1, you will independently manage customer touchpoints and demonstrate clear understanding of renewal drivers across your portfolio. MONTH 3 – PORTFOLIO OWNERSHIP - Full ownership of your book with consistent EBR cadence and expansion sourcing. - By Month 3, you are meeting key performance targets and expansion leads are flowing to Sales with documented context. MONTH 6 – STRATEGIC IMPACT - Operating at full commercial autonomy; contributing to team practices and mentoring peers. - By Month 6, you are achieving top-tier customer satisfaction and recognized as a reliable commercial collaborator by your AE and cross-functional partners. UK-based roles only: The annual base salary for this role is between £73,000 GBP and £106,000 GBP, and is commission-eligible. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

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 (будет плюсом); — опыт Monte-Carlo моделирования (будет плюсом); — практический опыт работы с RTP и House Edge (будет плюсом); — понимание экономики CS2-скинов (будет плюсом); — примеры реализованных математических моделей (будет плюсом). Условия: — долгосрочный проект

Location: Limassol, Cyprus Workplace: on-site Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS. We are seeking an experienced HR Manager to join our passionate team. Job Responsibilities: Act as the main HR point of contact for employees and managers, providing hands-on support across a wide range of people-related matters. Build strong relationships across the company and maintain a good understanding of employee experience, team dynamics, and emerging people needs. Partner with managers on performance, development, employee relations, organizational changes, and complex individual cases. Own and continuously improve key HR processes across the employee lifecycle, from onboarding and probation to development, internal moves, and offboarding. Review and adapt existing HR practices to better fit the company’s evolving needs, culture, and ways of working. Identify gaps and proactively design and implement new HR practices, policies, and solutions where needed. Use employee feedback and people data to identify trends, risks, and opportunities for improvement. Help build a scalable and effective People function that evolves together with the business. Take ownership of HR processes, policies, and benefits currently provided at group level, assess their fit for company, and adapt, replace, or redesign them where needed as the company evolves. Own and evolve employee benefits and related People programs, evaluating their effectiveness, employee value, cost, and fit with the company’s needs. Balance employee needs with business priorities, applying sound judgment and ensuring People decisions are practical, consistent, and aligned with the company’s goals and culture. Ensure HR practices and policies remain compliant with applicable employment requirements, working with internal or external legal and operational partners where necessary. You’ll thrive here if you have 5+ years of broad HR experience in a People Partner, HRBP, or Senior HR Generalist role, ideally within a technology, fintech, or other fast-paced environment. Strong hands-on experience across the employee lifecycle and solid knowledge of core HR processes. Proven experience independently owning and improving HR processes, not only supporting their execution. Ability to assess existing practices, identify what needs to change, and drive improvements from idea through implementation. Strong employee relations experience and confidence handling complex or sensitive individual cases. Comfortable being a visible and approachable HR presence for employees while partnering effectively with senior managers. Strong ownership, judgment, communication, and stakeholder management skills. Comfortable working in an evolving environment where processes and ways of working are still being developed. Experience building, transforming, or localizing HR practices would be a strong advantage. Fluent English. Russian is a plus. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family. Corporate mobile plan (unlimited in Cyprus with roaming included). Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR Interview (45 minutes); Hiring Team Interview (1 hour); Final interview (1 hour); Recommendations check; Job Offer.

Location: Paris Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organisation efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform.   ROLE We're looking for a Finance Data Engineer to join our Corporate team. In this role, you'll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions. Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo's central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions. - Define and drive the roadmap for Finance data, automation, and internal tooling - Build and progressively scale Voodoo's Finance data platform, prioritising the use cases that create the greatest business value - Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions - Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes - Establish strong standards for data quality, observability, documentation, security, and access management - Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions - Collaborate regularly with Voodoo's Data leadership and engineering teams to align on architecture, tooling, and best practices - Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently - Identify AI and automation opportunities, take them from prototype to production, and measure the value they create - Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support   PROFILE - Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions - Proven track record of building or substantially improving a modern data platform or analytics stack - Highly proficient in SQL and comfortable building production systems in Python - Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring - Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage - Ability to translate ambiguous business needs into clear, pragmatic technical solutions - Comfortable working autonomously, prioritising competing needs, and delivering value incrementally - Strong communication skills with both technical and non-technical stakeholders, in French and English - Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view - Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions Nice to have: - Experience building tools or data products for Finance teams - Experience deploying AI agents or AI-enabled workflows into production - Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem - Experience operating data infrastructure on AWS   OUR STACK - Cloud: AWS - Languages: Python, SQL, Scala - Transformation & orchestration: dbt, Airflow, Spark - Query engines: Athena, StarRocks - Infrastructure: Terraform, Kubernetes - Internal applications: Streamlit - AI-assisted development: Claude Code, MCP-based internal tooling   BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

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.

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

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1,5 hour) - Tech interview (1,5 hour) - Final interview (30 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs. We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job. You own the question of who is taking value they did not pay for, and the system that stops them. You make sure: - We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss - Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong - The difference between fraud and unprofitable pricing is a number we can defend, not a vibe - When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review WHAT YOU WILL DO Detection & scoring - Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays. - Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars. - Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers. - Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal. Entity resolution & ring detection - Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures. - Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost. - Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away. Enforcement, policy & the cost of being wrong - Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence. - Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong. - Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back. - Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do. Measurement & adversarial monitoring - Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current. - Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth. - Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week. - Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it. Making it usable - Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned. - Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard. - Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax. WHO WE'RE LOOKING FOR - Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours. - Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless. - Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model. - Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence. - Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system. - Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto - Trust & safety and platform-integrity teams who owned detection and enforcement policy - Growth or product data scientists who ended up owning promo-abuse because nobody else would - Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build content-moderation or NSFW classification — that is a different function here - Would ship a ban list without knowing its precision - Optimize AUC on a label set your own enforcement created, and call it validated - Need a labelled fraud dataset to exist before you can start - Treat every negative-margin account as an abuser - Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: London Workplace: Hybrid Why loveholidays? We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway. Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams. The difference you’ll make You’ll sit in the Trading OS team, reporting to the Director of OTA Platform. You’ll work closely with lead engineers, Revenue Management, and commercial leaders to define and deliver the long-term product vision for Trading OS, creating shared data, tools, and capabilities that power pricing, packaging, promotions, and availability across markets. Together, the team will focus on enabling commercial and AI teams to configure, test, and automate commercial changes safely and quickly at scale, reducing dependency on engineering and enhancing decision-making. Trading OS sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers. Your day-to-day: - Partner with engineering, Revenue Management, and commercial leaders to define the Trading OS roadmap, outcomes, metrics, and investment priorities. - Build flexible tools, APIs, and data models that enable commercial teams to configure, test, and roll out pricing, packaging, and availability changes. - Work closely with Engineering on technical design, service boundaries, data contracts, and scalable architecture for AI-assisted decisioning. - Improve the quality, reliability, and visibility of commercial data to enable faster, engineering-independent commercial changes. - Use data and controlled experimentation to measure operator efficiency, engineering effort avoided, platform adoption, and commercial impact. - Drive platform adoption by establishing clear documentation, onboarding, and feedback loops for internal product and commercial consumers. Your skillset: - Proven record of platform product leadership owning technical, API-heavy, data-rich, or internal platform products used by multiple teams. - Systems thinking ability to model complex dependencies across data, services, and workflows into stable, composable capabilities. - Strong technical fluency across APIs, data models, distributed systems, configuration engines, and observability to collaborate credibly with engineering. - Commercial judgement with the ability to connect platform strategy to margin, trading objectives, and customer value. - Expertise in data and experimentation, comfortable defining metrics, designing controlled tests, and using data to guide decisions. - Outstanding execution and communication skills to navigate ambiguity, balance platform health with delivery, and align technical and non-technical stakeholders. The interview journey: - Talent acquisition screening - 30 minutes - First stage with the hiring manager - 45 minutes - Final stage with key stakeholders, including a platform case to present - 1 hour - Behavioural and culture conversation with VP of Product - 45 minutes Perks of joining us: - Company pension contributions at 5% - Individualised training budget for you to learn on the job and level yourself up - Discounted holidays for you, your family and friends - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum - Ability to buy and sell annual leave - Access to our electric vehicle salary sacrifice scheme - Cycle to work scheme, season ticket loan and eye care vouchers   Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.

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

NU Case club (консалтинговый клуб при НУ) организует ивент с Mastercard для дата аналитиков и консультантов. What to expect: — Solve a business case and apply analytical thinking to a real-world problem — Explore how data and analytics support business decisions at Mastercard — Learn how Mastercard consultants approach structured problem-solving and data-driven decision-making — Hear directly from Mastercard professionals about their projects, career paths, and day-to-day work — Get an inside look at the Mastercard Launch Program The Mastercard Launch Program is an 18-month graduate development program for recent Bachelor’s and Master’s graduates, combining full-time work with structured learning, mentorship, and professional development. Career tracks include: — Performance Analytics — data-driven insights, analytics, and business performance — Strategy & Transformation — strategic problem-solving and business transformation — Marketing — customer insights, marketing strategy, and data-informed decisions Students from all majors are welcome! Whether you study Economics, Business, Data Science, Computer Science, Mathematics, or another field, this session is a great opportunity to explore how your analytical skills can translate into a career at Mastercard.

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 X 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