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Location: Romania Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Bulgaria Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Portugal; France Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: London Workplace: onsite ABOUT APOLLO RESEARCH Apollo Research is an AI safety organization that works on the detection of scheming (e.g., building evaluations), the science of scheming (e.g., model organisms), and scheming mitigations (e.g., anti-scheming and control). We work closely with multiple frontier AI companies. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can read more here. We're a team of ~35 in London and Europe, we're opening a new office in San Francisco, and we're growing fast. THE OPPORTUNITY The Finance team consists of the Head of Finance and an interim transactional processor. You will be Apollo's second full-time Finance hire, reporting to the Head of Finance. You will own financial operations, accounting, reporting, and compliance. AI is embedded across the business, and Apollo Finance is no different. You will work with the Head of Finance to build a finance function from first principles that scales ahead of the business's growth. You'll be expected to build and leverage AI agents and clean architecture to eliminate, simplify, and automate manual work at scale. There is no legacy finance function to inherit, so you will build your subfunctions from the ground up. This role is suited to someone who is happy to get their hands dirty in the details of the operation, skilled at handling data, and driven to find more effective ways of doing things. The manual processing work should reduce significantly as you and the Head of Finance build out the systems, processes, and controls. Initially, your time will be split between: Day-to-day transactional processing and bookkeeping, replacing the interim processor (50%) Building out new systems, processes, and controls (25%) Eliminating, simplifying, and automating existing processes and controls (10%) Ad hoc work, e.g., monthly close, reporting, and compliance (15%) The team is deliberately lean and uses a sophisticated tech stack. This is not a position where you'll be one of many; you'll have significant exposure and be central to how the function evolves as the business scales, with a clear path to Financial Controller. RESPONSIBILITIES Run day-to-day financial operations (Order-to-Cash and Procure-to-Pay): Process and match supplier invoices, card expenses, and bank receipts and payments Prepare supplier payments Onboard customers and suppliers, keeping their metadata up to date Invoice customers and manage collections Run accounting and reporting (Record-to-Report): Establish a repeatable monthly close, preparing manual journals and accounting judgments on accruals, prepayments, accrued and deferred revenue, payroll, intercompany, and project accounting Prepare supported reconciliations for every balance sheet account, and maintain a quantified risks and opportunities list Produce a monthly pack that ties to the ledger and reads the way operators run the business: P&L, balance sheet, and cash flow, month and year to date; one headline variance against budget; and department and research-versus-commercial views Deliver cash visibility: Prepare the weekly 13-week direct cash forecast, including running scenarios for the Head of Finance and COO Reconcile forecasts to actual bank movements, explain and report variances, and improve the forecasting assumptions week on week Support the Head of Finance in building effective systems, processes, and controls: Eliminate, simplify, and automate manual work, processes, and controls at scale, leveraging AI agents and automation Document critical workflows so they do not depend on one person Manage the finance tech stack, and support the Head of Finance in implementing new systems Manage compliance: Support the Head of Finance in ensuring Apollo complies with relevant laws and regulations across the jurisdictions in which we operate, coordinating with advisors where necessary: statutory accounts, taxes, transfer pricing, R&D tax credits, audits where required, and expenditure responsibility requirements for grants WHAT SUCCESS LOOKS LIKE Build and run a best-in-class finance operation. Support the Head of Finance in building and improving the systems, processes, and controls for the core business cycles (O2C, P2P, R2R) to: (a) capture transactions at source with the right accounting, timing, and metadata; and (b) eliminate, simplify, and automate manual work at scale. Work month on month to reduce the lag between a transaction's economic event and its appearance in the books, and to reduce manual processing hours, baselined in month two. Maintain sales invoice accuracy at 100%, aged debtors below 15 days, and suppliers paid on the due date 100% of the time. Build and run a fast, dependable close. All entities closed to year-end quality every month: working day five within six months of joining, and working day three within nine months. Supported balance sheet reconciliations for all accounts, with a quantified risks-and-opportunities list. No restatements or surprises to the board. Build and prepare reporting that informs and forces decisions. A monthly pack within two months of joining that explains performance across P&L, balance sheet, and cash flow for the month and year to date, with department and research-versus-commercial views. It leads with the most important budget variance and explains what happened, why, and what needs attention. A weekly 13-week direct cash flow forecast, with scenarios, refreshed weekly. Forecast accuracy improves week on week, and within three months of joining the forecast informs and forces the right decisions on liquidity and working capital. Build and run the financial compliance calendar. Covers all relevant laws and regulations across every jurisdiction in which we operate, including R&D tax credits, audits, and expenditure responsibility requirements for grants. Compliance is fully up to date within three months of joining. REQUIREMENTS Sound accounting judgment. You are a qualified accountant (ACA, ACCA, CIMA, or CPA) with at least two years' post-qualification experience at a small, UK company. You reason confidently through cut-off, accrued and deferred revenue, accruals and prepayments, payroll, and project accounting. You know when to ask for specialist advice rather than guess. You are skeptical by default. Personal ownership of a fast close. You have personally (not through a team) run monthly closes end to end to working day five, with supported reconciliations for every balance sheet account. You have personally produced multi-dimensional management accounts (product, channel, region) with variances to budget, built around how operators run the business. Balance-sheet-first mindset. For any account, you can explain what the number is, how it got there, how and when it settles or unwinds, and what happens if it does not. International group experience. You have practical experience of intercompany accounting and consolidation, you have worked with at least one overseas entity (US preferred), and you know UK statutory reporting. Hands-on builder. You have built, materially improved, or repaired a finance process, control, or set of books. You prioritize the material problems. You are a high-agency, first-principles problem solver who can take a problem, break it down logically, and find a solution. You are comfortable making decisions with incomplete information. Fast, accurate transactional processing. You process invoices, card receipts and bills, and cash receipts and payments. Architecture-minded and data-literate. You think in systems, not processes. You are fluent in a cloud ledger (Xero, QuickBooks Online, Campfire, Light, Rillet, or DualEntry) and strong in spreadsheets. You understand how data and workflows fit together. You can validate integrations, imports, mappings, and automated outputs. High standards. You have exceptional attention to detail, integrity, and strong numerical ability. You are tenacious enough to call a customer for the fifteenth time. You communicate clearly with non-finance colleagues. NICE-TO-HAVES 2+ years at a VC-backed or founder-led high-growth scale-up (Series A to C), ideally through a first audit. You know how a young company works. 2+ years in deep-tech, R&D-heavy, or software businesses. You are comfortable with R&D tax credits, grant reporting, capitalization judgments, cloud and compute costs. 2+ years' experience with project or professional services accounting. You are comfortable with subscription, license, or usage-based billing and revenue recognition. Practical experience simplifying and automating processes, controls, and workflows, and implementing AI tooling in a live finance function Experience coordinating UK and US accounting and tax providers. 1+ years' experience with a modern AI-native ERP (Campfire, DualEntry, Rillet, or Light). Demonstrable experience using AI agents and automation daily, as well as deploying them in real finance functions. You are comfortable using no-code tools (n8n, Zapier), MCP, and coding agents. Interest in AI safety and Apollo's mission. You're curious about what we do and why it matters. BENEFITS This role offers market competitive salary and competitive benefits. Salary: £107,000–£145,000 Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to six months of paid parental leave Comprehensive health, dental, and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Target start date: Late Q4 2026 to early Q1 2027. We can be flexible to accommodate notice periods. Role type: Full-time Location: In-person at our London office, with flexible hours and some WFH arrangements Reports to: Head of Finance Right to work: Applicants must have the right to work in the UK. We are unable to provide visa sponsorship for this role. HIRING PROCESS Apply using the application form and attach your CV. We review applications on a rolling basis, so we encourage you to apply early. Initial conversation (30 minutes) Take-home assignment (3 hours) Technical interview #1 with the Head of Finance (1 hour) Technical interview #2 with the Head of Finance (1 hour) Interview with the COO (1 hour) Offer and reference checks Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing quickly across Asia Pacific, and our International Recruiting Coordination team is building for it. As our first Recruiting Coordinator based in Singapore, you'll deliver a warm, high touch interview experience for candidates across APAC, including Japan, Korea, India, Australia, New Zealand and South East Asia. You'll partner closely with our APAC recruiters and recruiting managers, be the local point of contact for candidates and interviewers in the region and help keep hiring moving around the clock as part of a follow the sun coordination model with your teammates. As you'll be first in seat, you'll also help shape how coordination works in a region where we're still building: spotting what's missing, documenting what works and making it easier for the people who join after you. You'll own coordination for your region end to end and act as our go to operator for APAC hiring logistics, working independently with support from your manager. Responsibilities: Schedule a high volume of APAC interview loops, from hiring manager screens through onsites, debriefs and reference calls, across multiple time zones, languages and stakeholder calendars. Be the primary point of contact for candidates on logistics, with a warm, clear and culturally aware tone that makes every candidate feel supported and informed. Partner with recruiters and hiring managers as a trusted advisor: flag capacity risks, local holidays and market norms early, and help them see around corners. Keep our systems accurate for APAC roles, including Greenhouse job setup, interview plans; scheduling tool configuration and supervise automations. Provide coverage within our follow the sun model, with clean handoffs so candidates never feel the gaps between regions. Support recruiters and RecOps with regional hiring operations as our APAC footprint grows, such as new locations, entity changes, offer logistics and onboarding handoffs. Improve our processes and document what works. Independently scope and lead projects, from problem to adopted solution. Use AI tools as a core part of your daily workflow. You may be a good fit if you have: 4+ years of experience in recruiting coordination or high volume scheduling, ideally supporting multiple APAC markets. Experience coordinating across time zones and markets, with an understanding of local business norms across APAC. Hands-on experience with an applicant tracking system (e.g., Greenhouse) and a scheduling tool (e.g., ModernLoop, GoodTime). Excellent written communication, especially a knack for friendly, informative emails that build rapport and convey information clearly. Comfort creating structure where there isn't one yet, and the judgment to know when to escalate. Hands on fluency with AI tools, and the judgment to know when to trust the output and when to override it. A love of feedback, and comfort both requesting and providing it. Fluency in English (native or business-level). Additional APAC languages (e.g., Japanese, Korean or Mandarin) a plus. A genuine interest in Anthropic's mission and our deep commitment to AI safety. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Office, EU We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as a Head of Data Platform. Requirements Education & Experience: — MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher — 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify — Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error Core Technical Skills — data platform: — Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production — Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset — Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact — Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting — Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on Core Technical Skills — analytics & applied math: — Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles — Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query — BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself — ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate Market & Domain Knowledge: — Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime — Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms — Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships — Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders — Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks — Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data Mindset & Soft Skills: — Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead — Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders — Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates Responsibilities - Platform — Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset — Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs — Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace — Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation — Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards — Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships — Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable Responsibilities : — Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity — Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap — After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: New York, NY ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS We build and operate blockchain infrastructure for financial market infrastructure: settlement, custody and clearing institutions that put real value on the networks we run. We have signed clients with production dates this quarter and a platform standing on its own for the first time. Our pipeline of banks, custodians and market operators is growing faster than we can work it properly. You are the first hire on the Business Development team. You own the pipeline data and act as the coordination layer between prospects, engineering and leadership. You also make sure that what we promise in a sales conversation matches what we can deliver. When someone asks where a deal stands, what a client actually asked for, or whether a commitment is real, you're the person with the answer. WHAT YOU'LL OWN - Building pipeline with financial institutions: banks, custodians, broker-dealers, asset managers and market infrastructure providers. You work out who to approach, find the right person in each institution, and get the first meeting. - Account research before every conversation. You should know a prospect's settlement stack, where their collateral and liquidity problems are, what they've said publicly about tokenization, and who else they're talking to. Nobody should walk into a meeting cold. - Qualifying opportunities against what we actually sell: access, execution, interoperability and network engines, plus forward-deployed engineering engagements, managed hosting, interop settlement and sequencer services. That means working out whether there's a real budget, a real owner, a real timeline and a real problem we solve, and saying so early when there isn't. - Supporting live deal cycles, including discovery notes, meeting prep, follow-ups, RFP and RFI responses, security questionnaires and due-diligence packs. Institutional sales cycles are long and documentation-heavy. You keep them moving. - Pipeline and CRM discipline. Stages, next steps and close dates should reflect reality, and the forecast should hold up when someone questions it. - Market and competitive intelligence. Enterprise post-trade vendors don't publish their pricing, so what we know about it comes from conversations. You collect it, organize it and make it useful for pricing and positioning. - Translating between two worlds. Our buyers speak repo, collateral, DvP, cut-off times and operational risk. Our engineers speak sequencers, finality and nodes. You need to be fluent enough in both to bring back an accurate account of what the client asked for. - Outbound materials and messaging, working with Marketing and Product on one-pagers, case narratives, event follow-up and sequences that sound like they were written by someone who understands the client's business. - Events and ecosystem presence, including industry conferences, working groups and partner channels where institutional decision-makers show up. - Capturing client feedback for Product. What prospects ask for, what makes them hesitate and why deals stall should all reach the roadmap in a structured way. - Using AI in the work every day for research, account mapping, first drafts and meeting prep, held to the same bar for accuracy as anything else sent to a client. TWO LINES SIT OUTSIDE THIS ROLE AND YOU'LL WORK WITH BOTH CONSTANTLY: - Solutions and forward-deployed engineering own technical scoping, architecture and delivery commitments. You bring them in at the right moment with the right context, and you never promise a date or capability they haven't agreed to. - Legal and Finance own contract terms, pricing approvals and commercial structure. You make sure deals reach them clean and early, not the week before signature. WHAT WE ARE LOOKING FOR - 2–4 years in B2B tech sales, business development, or a client-facing role at a financial institution, fintech or market infrastructure provider. - Working knowledge of how institutional finance operates: trade lifecycle, clearing and settlement, custody, collateral. You don't need to be a post-trade expert, but you need to follow the conversation and ask good questions. - Real curiosity about onchain infrastructure and tokenized assets, and the ability to explain why it matters to a treasury or operations buyer without resorting to hype. - Strong written communication. Your emails, notes and summaries are clear, short and accurate. - Organized and persistent. Deals here take quarters, not weeks. You keep threads alive without being a nuisance. - Commercially sharp. You can tell interest from intent, and you'd rather disqualify a deal early than carry it on hope. - Comfortable in a company that is young and still building. The playbook is being written now, and you'll help write it. - Direct. This team has a low tolerance for polish over substance. Say the hard thing early, and say it kindly. - Coachable and collaborative. You want feedback, you act on it, and you make the people around you more effective. USEFUL, NOT REQUIRED - Experience selling into, or working at, a bank, custodian, CSD, exchange or clearing house. - Familiarity with Ethereum, EVM networks or permissioned blockchain deployments. - Exposure to repo, FX, stablecoins or tokenized treasuries/RWAs. - Experience with enterprise procurement: RFPs, vendor due diligence, InfoSec reviews. WHAT THIS ROLE IS NOT - Not a volume-dialing SDR seat. We'd rather have ten well-researched conversations than a thousand generic touches. - Not someone who overpromises to book a meeting. Our buyers remember. - Not someone who waits to be told what to do next, or who doesn't ask why an account matters. - Not someone who needs to be the loudest voice in the room. Listen first, then bring the insight. - Not a solutions-engineering role. You need to be credible technically, but you aren't expected to architect deployments. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Location: Limassol, Cyprus Workplace: remote Mayflower is an international technology company behind products used by millions of people worldwide. For more than 10 years, we've been growing profitable global businesses, bringing together talented professionals across technology, product, marketing, and operations. We are looking for a Compliance Operations Manager to take end-to-end ownership of traffic and content compliance across one of our digital platforms. You will develop and operate a scalable compliance framework for monitoring affiliate partners and digital traffic sources, identifying prohibited or risk activity, investigating incidents, and continuously improving preventive and detective controls. This is a hands-on ownership role for someone who can independently assess risks, establish effective processes, and turn compliance requirements into practical operational and technical solutions. You will work closely with Product, Engineering, Data, Legal, Risk, and commercial teams. Job Responsibilities Own, develop, and update the traffic and content compliance framework, policies, SOPs, and risk-scoring mechanisms. Audit digital traffic channels, landing pages, and promotional materials to detect prohibited content, cloaking, redirect manipulation, and suspicious attribution patterns. Lead root-cause investigations into compliance violations, coordinate corrective actions, enforce partner restrictions, and track remediation. Partner with Product, Engineering, and Data teams to define requirements for automated risk-scoring, internal compliance tools, and external monitoring solutions. Track compliance metrics, analyse recurring risk trends, and deliver clear, decision-ready reporting to management. Ensure documentation remains audit-ready for payment partners and regulators; stay updated on payment-network and industry regulatory shifts. Provide functional direction and quality standards for compliance analysts, and deliver internal training on monitoring and enforcement processes. You’ll thrive here if you have 5+ years in Compliance Operations, Risk, Fraud Prevention, or Traffic Quality (hands-on experience in traffic compliance, affiliate marketing, and ad networks required). Solid understanding of tracking signals (URLs, redirects, referrers, cookies, device fingerprints) and ability to assess risk using incomplete attribution data. Proven background conducting operational audits, implementing SOPs/compliance policies, and managing root-cause incident investigations. Experienced in team leadership, managing cross-functional initiatives, and translating compliance needs into Product, Engineering, and Data requirements. Ability to define compliance KPIs, build clear executive reports, and make sound, analytical decisions under pressure. Upper-Intermediate English or higher. Nice to Have: Knowledge of payment provider, acquiring bank, or card network compliance standards. Experience detecting cloaking, brand misuse, redirect manipulation, and prohibited content. Familiarity with OSINT, web scraping, SQL/Python, BI tools, or LLM-based automation. Relevant professional certifications (compliance, auditing, risk, or fraud prevention). What Success Looks Like A risk-based traffic and content compliance framework is actively implemented and enforced. High-risk traffic sources and compliance incidents are quickly identified, audited, and resolved. Automated and manual monitoring controls effectively reduce repeat violations. Management receives clear, data-driven visibility into traffic compliance risks. All processes, evidence, and records remain continuously audit-ready for external partners. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. This opportunity is also available for those who already live in Limassol, Cyprus. EU-based employment contract and a 3-year Cyprus work visa. 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. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. 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. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company’s policies and eligibility criteria.

Halyk SuperApp — единое мобильное приложение-суперапп и цифровая экосистема Halyk Bank, которая объединяет классический мобильный банкинг и десятки нефинансовых сервисов.

Задачи: — Own positioning, messaging, and go-to-market for our products. — Sit at the intersection of Product, Sales, Marketing, Delivery, and Customer Success — translating complex fintech tech into business value. — Hands-on: strategy + execution. — Positioning & messaging. — Customer & market intelligence (ICPs, personas, win/loss). — Competitive intelligence & battlecards. — Go-to-market & product launches. — Sales enablement (decks, one-pagers, demo scripts, case studies). — Product content & customer stories. — Pricing & packaging support. — Product adoption & cross-sell/upsell. Требования: — 5+ years in Product Marketing / Product Management / Solutions Marketing (B2B tech). — B2B SaaS or enterprise product experience. — Fintech, banking tech, or payments background — strong plus. — Startup / scale-up experience. — Comfort with APIs, integrations, SaaS/cloud, KYC/AML, payment flows. — Excellent written English & presentation skills. — Commercial mindset (pipeline, win rates, revenue). Условия: — Real ownership, direct work with leadership, and impact on how we take our technology to market. — We are not considering Russian citizens.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Claude's capabilities grow, so does our responsibility to ensure those capabilities reach the right people. The Access Programs team builds the systems that verify who our customers are, grant access to advanced model capabilities for approved use cases, and ensure that access is not misused. As a software engineer on this team, you will build the identity, vetting, and access management infrastructure that underpins our trusted access programs, along with the monitoring and enforcement tooling that keeps them safe. This work sits at the center of how Anthropic deploys frontier capabilities responsibly, balancing broad access with rigorous safeguards. Responsibilities: Build identity verification and vetting systems (KYC/KYB) that establish who our individual and business customers are Design and implement access control systems that grant, scope, and revoke access to advanced capabilities based on approved use cases Build infrastructure to configure safety systems and detection thresholds on a per-customer basis for trusted access programs Develop monitoring to detect misuse of expanded access, and tooling that enables enforcement teams to act on it Partner closely with policy, enforcement, threat intelligence, product, research, and go-to-market teams so that access decisions are well-informed and consistently applied Build systems that identify account compromise and takeover, apply mitigations in real time, and carry affected accounts through to full remediation Design and build the dashboards, alerting, and internal admin tooling that give the team and its partners clear visibility into the health and outcomes of our access programs Integrate with third-party identity verification and data enrichment vendors You may be a good fit if you have: A Bachelor's degree in Computer Science, Software Engineering, or comparable experience Experience building and operating backend systems in production Strong coding skills in at least one general-purpose programming language, and experience building software with AI coding tools Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Strong candidates may also: 8+ years of industry software engineering experience Experience building shared platforms or foundational services that many teams and products depend on, rather than one-off solutions for a single use case A track record of working across functions (for example engineering, product, policy, operations, and go-to-market) to gather requirements, reconcile competing needs, and drive adoption of what you build Experience with identity, authentication, or authorization systems at scale Experience with KYC/KYB workflows or identity verification vendors Experience in trust and safety, integrity, fraud, or abuse detection Experience detecting and responding to account takeover or credential compromise Experience partnering with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: A Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python and Typescript An ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: US - Culver City, California, United States Scopely is seeking a Senior Finance Analyst to join the team behind MONOPOLY GO! This role will be located in Culver City, CA on a hybrid basis. In this role, you will own the game’s recurring operational finance activities while building the tools and automation that make our work faster, more accurate, and more scalable. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. You will lead operating expense month-end close, accruals, headcount tracking, purchase orders, Workday approvals, and T&E visibility. This is a build-oriented role with a clear mandate to improve how the work gets done—not simply execute existing processes. We are looking for someone who can identify opportunities to apply AI and automation thoughtfully and effectively. Over time, this role will help advance an AI-native approach to FP&A, connecting close, planning, reporting, and approvals so routine work can run more efficiently and the team can focus on higher-value judgment. This is a greenfield opportunity with significant autonomy and a dedicated budget for tools and experimentation. You will also serve as the primary Finance business partner to our Engineering organization, acting as its main point of contact for spending, headcount, and planning. You will work closely with Finance Managers, the VP of Finance for MONOPOLY GO!, and cross-functional partners across the business, with strong senior-level support as you ramp into the role. Why this role stands out A build mandate. You own the FP&A automation stack — greenfield, with autonomy and a tool budget. A real part of the job is making the work better, not only keeping it running. Scale and visibility. MONOPOLY GO! is a large, fast-growing business. Your work informs game leadership directly, with regular exposure to the VP of Finance. Room to grow. A path into complex modeling, financial storytelling, and broader scope across Scopely's portfolio, with mentorship to get there. A strong team. You'll join a high-caliber group with backgrounds across high-growth tech, consulting, banking, and private equity. What you'll do The split is honest: expect the operational cadence to be a meaningful part of your week, and the build work to grow as you automate more of it. Run the OpEx close cadence. Month-end close, accruals, reclasses, and headcount reconciliation, plus high-volume PO/Workday approvals and T&E — accurately, on time, and independently before long. Build the automation. Replace manual reporting with automated workflows and dashboards, and apply AI where it genuinely helps across close, planning, reporting, and approvals. Partner with Engineering. Act as the finance business partner to the MONOPOLY GO! Engineering organization — helping them understand and plan their spend and headcount — and work with People & Talent, Business Operations, Customer Support, and QA to gather budget inputs and explain OpEx variances clearly. Think in systems. Connect steps across finance so the process gets simpler over time, with sensible checks where judgment matters. Keep the models trustworthy. Maintain revenue/cost and workforce-planning models so leadership sees current, reconciled, defensible numbers. What we're looking for An automation habit — you've automated manual reporting or finance processes, and you're interested in applying AI to real work. Experience with BigQuery, SQL, Python, or AI tools is a big plus Operational reliability — a track record of dependable, detail-accurate delivery on recurring, high-volume work Clear communication — you can explain numbers and variances to non-finance partners Located in, or willing to relocate to, the Los Angeles metro, working on-site/hybrid Ownership and integrity — you do well in a fast-paced, ambiguous environment, and are always looking for ways to add value Strong Excel and financial modeling — you build and maintain revenue/cost models and handle large datasets without hand-holding Hands-on FP&A foundation — you've done planning, forecasting, variance analysis, and a real close/reporting cadence, and can hit the ground running 2–5 years of finance/analytical experience, ideally in FP&A or finance at a brand-name technology or high-growth company How you work You form your own point of view and make the case for it — and you let it go gracefully when someone has the better argument. You lead with questions. You learn why something is the way it is before you start rewiring it. You get to great by iterating. You put a solid version out early, invite feedback, and keep sharpening it. When something falls between the cracks, you assume it's yours. You close the loop instead of flagging it and moving on. When you hit the same manual task twice, your instinct is to automate it — not grind through it a third time. Nice to have An undergraduate degree in engineering (computer, mechanical, electrical, industrial, aerospace, etc.) — a real plus for this role. Something you've built — an automation or tool you can walk us through. Experience with financial systems such as Oracle and Workday / Workday Adaptive Planning. Data platforms — Big Query, etc. A genuine interest in games, consumer products, or technology-driven businesses. Please ensure that the résumé/CV you attach is written in English. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $113,000 — $168,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Singapore Workplace: Hybrid Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What you will be doing - Provide operational advisory on high-risk clients whether at onboarding, periodic reviews or on trigger event and deliver justified opinions and recommendations - Investigate alerts reported to Compliance, draft STRs and ensure most risky clients are being monitored accordingly - Proactively handle or participate with the development and update of the local compliance Framework (Policies, Procedures and Operating Memos) - Provide quick and precise advisory to internal team inquiries on procedural applications - Contribute to updating AML-CTF risk classification and assessing new products/activities - Contribute to external reports due to regulators and internal reports to Senior Management - Draft training material/presentations and run training sessions - Perform regulatory watch and gap analysis between applicable regulations/sanctions and current framework and propose enhancements - Handle or participate as Specialist Matter Expert (SME) in various ad hoc Group and APAC Compliance projects About you - Minimum 5 years of experience in a Compliance function in the banking or payments space - Prior experience in Compliance Advisory is ideal, otherwise, a combination of 2LoD operations experience with exposure to investigations and audit handling is preferred - Robust knowledge on Financial Security topics (KYC, AML/CFT, Sanctions, etc.) and other Compliance topics (Payments Services Act, Scheme Rules, etc) - Previous project management experience on Compliance framework setups - Demonstrate clear sense of accountability in performing the role and a positive approach (can-do attitude and solution oriented) - Ability to identify inefficiencies, see the bigger picture, challenge current status quo and define scalable and sustainable processes - Well organized self-starter, able to prioritize quickly and meet deadlines even under pressure - Strong stakeholder management and communication skills - Team player with strong collaborative qualities - Willingness to learn continuously and keep up to date with Payment industry and Regulations (local and international) - Strong spoken and written English Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Office of the Chief Commercial Officer is a small team that works directly with our CCO, go-to-market leadership, and company leadership on Anthropic’s highest-priority commercial initiatives. We take on problems that do not sit cleanly inside one team, such as standing up a program that spans Product, Finance, Legal, and Sales, or preparing the material our executives and Board use to make decisions. Our commercial business is growing faster than its operating processes can be built, so a growing share of the job is stepping into gaps and running something important, while making sure other teams are building the capabilities to permanently own. You will own workstreams end to end. One week that means running the go-to-market side of a pressing situation, from the communications plan for customers and account teams to the daily readout for executives. Another week it means building the analysis behind a resourcing decision or a new program and writing it up for the CCO. This is an internal role. You will report to the CCO’s chief of staff, and you will have an unusually broad view of how the company makes decisions. Key Responsibilities: Drive priority go-to-market initiatives from plan to delivery, removing blockers, escalating early, and connecting the right people across teams at the right time Build the analysis, draft the document or deck, and turn input from many teams into a recommendation executives can act on Prepare content for the CCO and leadership team, including weekly staff meetings, updates to the Office of the CEO, Board materials, and leadership offsites Track the go-to-market organization’s top priorities and keep a current view of status, owners, and risks Act as a bridge between go-to-market and Product, Finance, Legal, Safeguards, and Research, so that what account teams hear from customers reaches product decisions and those decisions reach account teams in a usable form Step in where something important has no clear owner, run it until it has a permanent home, and hand it over cleanly Close out same-day executive requests quickly and to a high standard You may be a good fit if you: Have 4+ years of experience in management consulting, strategy and operations, a chief of staff team, or a similarly rigorous environment working with senior executives Structure ambiguous problems well and get to a clear recommendation Can get to a number yourself in a spreadsheet, in SQL, or with Claude, check it against a second source, and explain where it came from Write and speak clearly and briefly for executive audiences Are as willing to maintain the tracker and chase the last open items as to write the strategy Are comfortable with significant autonomy and with priorities that shift on short notice, pay close attention to detail, and know when to escalate Build trust quickly with senior people across the company who are short on time Use AI tools as a core part of how you work Care about Anthropic’s mission and about getting safe, useful AI to customers Strong candidates may also have Experience in technology, SaaS, or enterprise software, or exposure to go-to-market strategy, sales operations, or customer success Experience running a product launch, a program office, or another cross-functional effort with many owners and a fixed date Familiarity with how large enterprises buy and adopt technology, including security, legal, and procurement review The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia At GoMining, a General Manager is the end-to-end owner of a business direction, responsible for its strategy, P&L, product, team, and overall results. A GM combines business, product, and operational ownership — setting priorities, managing unit economics, driving execution, and making decisions based on data. The goal is to run the direction as a business and take full responsibility for its growth, profitability, and performance. We are looking for a General Manager to own Custody & Compliance at GoMining — the business line responsible for how customers move funds into and out of our ecosystem safely, quickly, and reliably. This is not a traditional compliance role. You will own the entire direction as a business and product — from custody infrastructure and KYC/AML to deposits, withdrawals, Travel Rule, fraud controls, provider relationships, and customer experience. Your goal is to build a system where compliance protects the company without becoming an unnecessary barrier for legitimate customers. You will own the strategy, economics, product roadmap, delivery, key metrics, and engineering team behind the direction. Responsibilities Business & Product Ownership Own Custody & Compliance end-to-end, including strategy, roadmap, priorities, budget, and business results. Define and track the key metrics for deposits, withdrawals, KYC, fraud, and customer activation. Improve the speed and conversion of customer onboarding and money movement. Balance risk prevention with customer experience and commercial impact. Build financial and operational models and make decisions based on measurable business outcomes. Work directly with C-level stakeholders on strategy and priorities. Custody & Money Movement Own custody infrastructure and relationships with custody providers. Own deposit and withdrawal flows across the GoMining ecosystem. Improve transaction processing speed, reliability, and success rates. Identify bottlenecks and continuously improve the customer experience around money movement. Manage incidents and critical issues related to customer funds. KYC, AML & Travel Rule Own the operational implementation of KYC, AML, and Travel Rule requirements. Build scalable compliance operations, including case management, decision SLAs, escalation processes, and operational workflows. Ensure compliance controls are effective without unnecessarily reducing conversion. Continuously analyze false positives and missed fraud cases. Work closely with Legal and Risk while maintaining ownership of the customer and business outcome. Fraud & Risk Develop fraud prevention guardrails across deposits, withdrawals, and customer verification. Monitor fraud losses and false-positive rates. Build data-driven approaches to identifying suspicious activity. Ensure risk controls scale together with transaction volume. Providers & Partnerships Own relationships with custody, KYC, AML, and infrastructure providers. Negotiate commercial and operational terms. Reduce dependency on individual providers where appropriate. Drive integrations together with engineering teams. Hold providers accountable for agreed service levels. Team & Delivery Lead a dedicated engineering team and work directly with the Tech Lead. Own priorities, backlog, releases, and delivery. Set clear goals and measurable outcomes for the team. Hire, develop, and make performance decisions when required. Use AI and automation to keep the team lean and increase execution speed. Requirements Strong hands-on experience in crypto custody, payments, KYC/AML, or related financial infrastructure. Experience owning custody and compliance processes in a crypto exchange, wallet, broker, crypto bank, BaaS, custody platform, or similar environment. Practical experience with platforms such as Fireblocks, Copper, BitGo, Uphold, or similar. Strong understanding of KYC, AML, Travel Rule, transaction monitoring, and fraud prevention. Experience building operational compliance processes at scale. Experience working directly with external providers and negotiating commercial terms. Strong product and commercial mindset. Ability to understand how compliance decisions affect conversion, revenue, and customer experience. Strong analytical skills and comfort making decisions based on data. Technical literacy and ability to work directly with engineers. Experience managing teams and owning delivery. Experience in crypto or fintech is highly preferred. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Are you looking for the next professional opportunity that will challenge and advance your career? Join our team now! Tickmill is looking to hire a Business Development Manager that would be responsible for overseeing the business for the LATAM Region. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies and bonds, as well as Exchange Traded Derivatives (Futures & Options). The Tickmill Group was established in 2014 and employs over 280 individuals through its offices in London, Cyprus, Dubai, Estonia, South Africa and several other regional offices globally. Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from every continent, are the backbone of the company. Their hard work and dedication are what makes it possible to rank among the best in the industry. Tickmill offers a competitive benefits package, team-building events, and many opportunities for professional growth. The Business Development Manage r is responsible for identifying, engaging, and acquiring new business partners, including Introducing Brokers (IBs) and affiliates, to drive new client acquisition. The role is highly focused on expanding the company’s reach by developing new relationships with potential partners across global markets, with a strong emphasis on bringing in IBs who can refer high-value clients. This role involves prospecting, pitching, negotiating, and managing the onboarding of new IBs, ensuring they are successfully integrated into the partnership structure. Key Responsibilities: Reach out to new potential partners Acquire new IB partners and reactivate inactive partners Build and manage a partner network Negotiate commercial terms and maintain business relationships Represent the company at industry events and networking activities Collaborate with international teams across different regions Requirements: Minimum 2 years of experience in the FX / CFD / Online Trading / Crypto / iGaming / Banking industry Strong communication, negotiation and sales skills Self-motivated and results-driven mindset Ability to work independently in a remote environment Ideal for ambitious go-getters ready to turn performance into exceptional pay. What We Offer: Competitive fixed salary + KPI-based bonuses Commission structure based on business performance Fully remote work format International working environment Business travel opportunities Professional growth within an established global brand Paid annual leave Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.