Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐ THE ENGINEERING TEAM ⭐
In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves!
Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction.
We move fast, with a lot of ownership, and are proud to tackle big problems!
Our process is very simple: those who make product decisions are the same ones who build them.
Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path.
🛠️ THE STACK
Python/Flask, React, React Native, PostgreSQL in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it.
🤖 THE HOPPER CREW
🎯 Mission:
- Hopper is Alan's internal agentic AI platform and every Alaner's AI companion: one unified productivity tool for coding, data, automation, research, and everyday work.
- It is a platform with a product on top. The product is the first and most demanding user of reusable components for agent orchestration, isolated execution, skills, connectors, permissions, audit, and evaluations.
It started as a coding agent. Watch how we built its first version and enabled anyone at Alan to ship code https://www.youtube.com/watch?v=hAu7Ngfd0ys. Coding remains its most mature use case and the foundation we are expanding from.
🔭 Scope:
1. Product experience - durable AI sessions available from the web, Slack, Linear, and GitHub for coding, data analysis, automation, and general work
2. Agent runtime and orchestration - control plane, harness, model routing, long-running execution, recovery, and isolated sandboxes
3. Secure connectors - an MCP Gateway that manages identity, credentials, permissions, confirmations, sensitivity, and audit
4. Skills, automations, and artifacts - reusable workflows, scheduled or event-driven work, dashboards, and hosted tools
5. Trust and review - evaluations and product experiences that expose tests, screenshots, previews, queries, sources, and tool actions
👀 Focus for 2026:
Coding proved that Alaners want to delegate meaningful work to agents. Our 2026 focus is to make it the AI companion every Alaner can rely on: faster and more durable sessions, safe access to company tools and data, HDS-compatible infrastructure for sensitive workloads, stronger evaluations, and results people can inspect before acting on them.
👀 Focus for 2026:
In 2026, we're moving from "AI tools you monitor" to "AI agents you trust." That means scaling Hopper — Alan's own background coding agent — alongside the infrastructure that makes it reliable: managed agent pools, sandboxed environments, autonomous testing, and CI auto-fix. Engineers will routinely offload tasks to agents. Non-engineers will open pull requests after having easily tested their changes. Agents will validate their own work before it ships.
⭐ IS IT YOU WE’RE LOOKING FOR?
EXPERIENCE WE VALUE
- 3+ years in full-stack software engineering roles
- Experience building products, internal platforms, frameworks, or infrastructure used by other people
- Depth in at least one relevant area: AI agents and evaluations, developer platforms, high-quality product UX, distributed systems and runtimes or security and authorization
- Ability to own work end to end, from a React interaction or API contract to reliability in production
- Experience with LLM APIs, agent harnesses, MCP, or AI-assisted coding tools is a strong plus
MINDSET WE VALUE
- You think in terms of both product and platform experience: Alaners across engineering, product, data, sales, and operations are your customers
- You care about whether people can understand and verify what an AI system did
- You make concrete tradeoffs between speed, reliability, cost, security, and user experience
- You simplify complexity with clear abstractions and maintainable code
- You are collaborative, humble, and motivated by enabling others
- You are excited about AI changing who can build, investigate, and automate work
- You are fluent in English (no French required)
- Above all, we look for high potential and curiosity. Everything else is a bonus.
🌍 HOW WE WORK
- Location: You must be legally eligible to work in France, Belgium, or Spain.
- Remote work: We offer remote work flexibility, but we value in-person collaboration
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 !
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
YOU WANT TO KNOW MORE ABOUT ALAN?
- 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
- 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work
🔄 A quick note about the process
Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.
Location: Anywhere in France, Belgium, Spain
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
🤖 OPS AI PLATFORM TEAM 🔀
We're building something that doesn't exist yet.
Imagine a platform where AI agents autonomously handle operational work - connected to every internal and external tool, trained by operators themselves, running safely at scale. No engineers needed. No bottlenecks. Just agents that work.
That's what we're building. The Ops AI Platform will let our Ops team create, evolve, and monitor their own AI agents to automate thousands of tedious tasks. We aim to crack problems no one has solved at this scale.
The project just launched. You'd join at ground zero - shaping the architecture, the product, the entire foundation.
If building the future of work from scratch excites you, this is it.
⭐ OUR NORTH STAR
We’re building ops agents that work reliably and safely, without putting the engineering team on the critical path.
You’ll work at the intersection of product engineering and ML engineering. Our mission is to create the platform that enables building accurate and reliable AI agents, delivering an outstanding experience to our internal Ops team for the creation, iteration and monitoring of their agents, without requiring hard technical skills. Things we’re working on:
- 💬 Integrate agents at the heart of internal tools - UIs where Ops monitor and take action on concrete business situations. We want AI agents to become first-class citizens in this ecosystem, with context-aware chat modals, allowing users to review agents' reasoning, actions, and provide follow-up instructions - with instant impact on business data.
- 👥 Empower non-technical users to become autonomous in the creation and maintenance of agents to automate operational tasks at scale: prompting, tools configuration, testing, datasets, replayability, evaluations
- 🔧 Build a complete set of tools made available to AI agents, connecting to internal and external capabilities: internal business data, external servers, external web dashboards without API, etc.
- 💯 Safety and accuracy at the core: robust testing, stateful evaluation, progressive rollout, human-in-the-loop to validate sensitive actions, fine-grained permissions and limits
In 6 to 12 months, we plan to increase our scope by owning the AI platform that will power all agentic use cases at Alan - creating economies of scale thanks to common infrastructure and tooling.
If you’re excited by the idea of building the future of work, this is the team for you - we're at the start of the journey.
🎯 IS IT YOU WE’RE LOOKING FOR?
We’re looking for Product engineers with 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in operations.
- You’ll work at the frontier of LLMs, tool calling, human-in-the-loop, internal tools UX, multi-agent architectures, and see your work deployed in production, used by our ops team
- You’ll implement new capabilities for AI agents, as well as tooling to make ops autonomous on the creation, evolution, monitoring and evaluation of their agents
- You’ll work on making our system scale, going from a few dozen to tens of thousands of tasks automated daily
- You’ll have significant influence on system architecture and code quality
- You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring).
You would be a good fit at Alan if most of this sounds like you:
- Strong background in full-stack software engineering, systems architecture, with a spike in back-end engineering.
- Experience with traditional ML, or LLMs, or ML dev ops is a big plus
- Product-minded: you want your solutions to be used, and impactful
- Self-directed and pragmatic
- Humble and still willing to grow (no matter your seniority!)
- Collaborative, enthusiastic about teamwork, learning, and teaching
- Fluent in English (no need to speak French!)
But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus.
For this opportunity, we are aiming to hire within the D-F level range.
🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity
At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
Therefore, we offer:
- Fair rewards. Generous equity packages complement your base salary.
- Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest.
- All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones.
- Flexible vacation policy and flexible working hours. Organize your time as you wish.
- Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only).
- Transport. Country-specific commuter benefits.
- Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises.
- Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching.
- Parental leave. Extended parental leave for all new parents.
IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist.
We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
🔄 A quick note about the process
Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
We are building a scalable financial operations platform to support the accurate movement, recording, reconciliation and reporting of fiat and digital assets. The Head of Financial Operations Platform will define and deliver the architecture that connects our trading, payment, banking, custody, blockchain, wallet and finance systems.
This is a senior, hands-on platform leadership role. The successful candidate will establish trusted books and records, automate settlement and reconciliation, create effective exception workflows and give Operations and Finance the tools required to maintain accurate client and corporate asset records on a daily and, where feasible, near-real-time basis.
The role owns platform capability and delivery. Client Asset Operations and Finance retain responsibility for executing, reviewing and signing off the underlying operational and accounting controls.
What You Will Own
Product strategy and multi-year roadmap for the financial operations platform.
The canonical transaction and financial-event model across fiat and digital assets.
Client and corporate asset subledgers, balances, positions, journals and transaction histories.
Settlement and asset-movement workflows across banks, payment providers, custodians, wallets, blockchains and trading venues.
Multi-way transaction- and balance-level reconciliation across operational sources, internal records and the finance system.
Exception management, operational dashboards, control evidence, audit trails and management reporting.
Build-versus-buy assessments, strategic vendors, migration, backfilling, parallel runs and legacy-process retirement.
First Year Outcomes
Document the end-to-end transaction, asset and accounting architecture.
Establish an approved platform roadmap and target operating model.
Define the canonical financial-event, subledger and reconciliation data model.
Deliver systematic reconciliation for the highest-risk fiat and digital asset flows.
Introduce centralized exception ownership, ageing, escalation and evidence.
Reduce spreadsheet dependency and engineering-dependent investigations.
Improve alignment between operational records, customer liabilities, external asset records and the finance system.
Deliver a credible path from daily controls to near-real-time monitoring for material flows.
What You’ll Be Doing
Product Strategy and Architecture
- Establish the target vision, operating principles and roadmap for ledger, settlement, reconciliation and client asset controls.
- Map end-to-end funds and asset flows across deposits, withdrawals, trades, fees, transfers, financing, staking and other relevant products.
- Partner with Architecture and Engineering to define scalable services, APIs, event schemas, data contracts, system boundaries and resilience requirements.
- Make evidence-based build-versus-buy decisions and prevent fragmented point solutions from becoming the operating model.
Ledger and Books and Records
- Define requirements for double-entry ledgering, journals, balances, positions and transaction traceability.
- Establish clear lineage from the originating operational event through the subledger and financial reporting environment.
- Ensure the platform handles reversals, corrections, fees, foreign exchange, internal transfers, failed transactions, duplicated events and delayed events.
- Work with Finance to maintain controlled alignment between operational books and records and the ERP or general ledger.
Settlement and Reconciliation
- Design workflows for fiat and digital asset settlement, including cut-offs, confirmations, status management, retries and failure handling.
- Build automated multi-way reconciliation across trading engines, payment systems, banks, custodians, wallets, blockchain records, subledgers and ERP systems.
- Define configurable matching rules, tolerances, materiality levels, frequencies and escalation thresholds.
- Create near-real-time detection for missing, duplicated, delayed or incorrectly recorded transactions where feasible and proportionate.
Operational Tooling and Controls
- Build operator interfaces that support investigation and resolution without routine dependence on engineering queries or spreadsheets.
- Incorporate maker-checker approvals, role-based access, segregation of duties, evidence retention and complete audit histories.
- Define monitoring and alerting for data completeness, balance integrity, settlement failures, reconciliation breaks and control execution.
- Support audit, regulatory examination and financial-reporting requirements with reproducible system evidence.
Delivery and Stakeholder Leadership
- Lead discovery, requirements definition, prioritization, testing, rollout and post-launch improvement.
- Write clear product requirements, workflow diagrams, data definitions, control requirements and acceptance criteria.
- Coordinate operational readiness across Product, Engineering, Operations, Finance, Treasury, Custody, Risk and Compliance.
- Lead data migration, backfilling and parallel-run validation before replacing existing controls or processes.
- Communicate roadmap priorities, risks, dependencies and measurable outcomes to senior management.
What We Look For In You
Eight or more years in fintech, financial services, digital assets, brokerage, custody, payments or capital-markets technology.
Five or more years of product-management, platform leadership, technical program leadership or comparable engineering experience.
Demonstrated delivery of a ledger, reconciliation platform, settlement system, payments infrastructure, brokerage books-and-records platform or digital asset back office.
Strong understanding of transaction lifecycles, balances, positions, journal entries, reconciliation and financial controls.
Technical fluency with APIs, event-driven systems, data schemas, batch and streaming pipelines, integrations, idempotency and failure handling.
Ability to work directly with transaction-level data; practical SQL proficiency is strongly preferred.
Track record of delivering mission-critical systems in regulated or control-intensive environments.
Strong written communication, structured problem-solving and senior stakeholder-management skills.
Nice to Haves
Experience with both fiat and digital asset transaction flows.
Knowledge of blockchain transactions, wallets, custodians and on-chain settlement.
Experience integrating with ERP systems such as Oracle, SAP, NetSuite or Microsoft Dynamics.
Familiarity with client asset segregation, safeguarding, books and records or comparable regulatory requirements.
Experience with high-volume, continuously operating financial platforms.
Knowledge of double-entry accounting and financial-close processes.
Experience replacing manual reconciliation with automated platform capabilities.
Experience assessing or implementing platforms such as Crypto or comparable ledger, reconciliation and digital asset accounting solutions.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Toronto, Ontario, Canada
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link.
We are architecting the Technical Support engine. We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles.
Sentry Support Engineers aren't just clearing queues; they are Orchestrators. You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required.
IN THIS ROLE YOU WILL
Master the Sentry Ecosystem & Support Elite Developers
- Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments.
- Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability.
- Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments.
- Engineering Feedback Loop: Serve as the bridge between the world's best developers and our product teams, using data from your systems to prioritize high-impact platform fixes.
Engineer Agentic Operations (The Scaling Engine)
- Deterministic Support Paths: Engineer the logic that powers our support agents, moving beyond probabilistic guesses to high-fidelity, autonomous resolutions.
- Knowledge Engineering: Build the right context into our systems so they can resolve issues consistently and indefinitely.
- Agentic Tooling Development: Use MCP (Model Context Protocol) and Sentry’s internal APIs to build "skills" for our agents, allowing them to perform complex lookups or state-checks autonomously.
- The Seer Philosophy: We’ve already proven AI can handle autonomous production fixes with Seer. You will apply that same philosophy to the support lifecycle—moving us from a "Help Desk" to an "Autonomous Resolution Engine."
YOU’LL LOVE THIS JOB IF
- You love eliminating Non-scalable effort: you enjoy automating repetitive work and take pride in building systems that save time and effort.
- You’re a Full-Stack Troubleshooter: You enjoy jumping from a React frontend issue to a Python backend trace to a CI/CD pipeline failure in a single afternoon
- You Value Evidence-Based Support: You prefer looking at data trends over anecdotal evidence to decide where to build automation next.
- You’re a Developer Advocate: You want to guide the industry on how elite engineers and AI co-exist in a high-density technical ecosystem.
QUALIFICATIONS
- 5–8+ years of experience in technical support engineering, systems engineering, or software development, with a track record of solving high-complexity SaaS problems.
- Strong Coding Foundations: Mastery of Python, JavaScript, Java, or Ruby. You are comfortable reading SDK source code and identifying bugs in production-level repositories.
- Systems Depth: Deep understanding of distributed systems, microservices, APIs, and the "path of a pixel" from frontend to database.
- AI & Automation Literacy: Practical familiarity with LLM orchestration (RAG, context windows, system prompts) and a critical eye for where AI succeeds versus where it requires human intervention.
- Exceptional Communication: The ability to explain complex architectural concepts to a human and write precise "system instructions" for an AI.
BONUS QUALIFICATIONS
- Open Source Contributor: An active presence on GitHub or experience maintaining open-source libraries.
- Former Software Developer: You’ve spent time in the trenches as a full-time dev and know exactly what keeps our customers up at night.
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $125,000 to $150,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
As a Global Security Program Manager on Notion’s Global Safety & Security team, you’ll help protect our people, workplaces, and operations across a distributed global portfolio. This role exists to bring greater consistency to physical security programs as Notion scales—strengthening technology, vendor operations, incident readiness, and local execution without losing the welcoming experience we want employees and guests to feel. You’ll work across Workplace, People, IT, Legal, business leaders, vendors, and building partners, balancing hands-on operations with repeatable program design. This is a remote role based in the United States, with travel to Notion offices, events, and other locations expected—up to 50% based on operational needs.
A GREAT TUESDAY:
- Review regional differences in access control or visitor management and turn them into clear priorities for the global parity project.
- Work with a vendor or building manager to resolve a security gap, balancing local context with global standards.
- Draft an incident update, using AI to improve clarity, then validate the details and judgment behind the message.
- Coordinate international project work while responding thoughtfully to an urgent operational issue.
WHAT YOU'LL ACHIEVE:
- By your 90th day, kick off a global physical security parity project that creates shared visibility into regional practices, gaps, and priorities.
- By your 90th day, use AI to accelerate clear, effective communications, reduce busywork, and keep detail-heavy work accurate and reviewable.
- By the end of your first year, take ownership of Notion’s physical security technology program, improving how systems, data, and operating practices support safe and resilient workplaces.
- By the end of your first year, demonstrate program ownership in one major physical security or safety pillar, such as business continuity and disaster recovery, event security, travel risk management, monitoring operations, crisis management, guard force operations, or governance.
- By the end of your first year, deliver multiple international projects with clear plans, sound judgment, and effective coordination across regions, vendors, and cross-functional partners.
SKILLS YOU'LL NEED TO BRING:
- Demonstrated ability to own physical security or safety programs across multiple sites or regions, including security technology, access control, incident response, or vendor operations.
- Effective project management skills, with the ability to move multiple international projects from ambiguity to clear plans, decisions, and delivery.
- Clear, thoughtful communication with internal partners, vendors, building management, and local stakeholders—especially when translating security requirements into practical action.
- A service-oriented approach and eagerness to help create secure, welcoming workplace experiences; you bring curiosity, ownership, and sound judgment to how you work with others.
- Novice AI proficiency and a willingness to use AI as a practical collaborator for communication, accuracy checks, documentation, and reducing repetitive work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $208,000 – $233,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Newark, NJ; Greater New York City Area
Workplace: hybrid
Role Overview:
We are looking for a driven Product Manager to lead our mobile merchant experience and drive growth in the multi-location POS capabilities. In this role, you’ll work with the head of product to drive product strategy, roadmap prioritization, and delivery of NRS’ POS capabilities and experiences.
You’ll work cross-functionally with engineering, design, operations, go-to-market teams, and executive leadership to create intuitive, scalable products that solve real operational challenges for NRS merchants.
This is an opportunity to build meaningful products from the ground up in a fast-moving environment where customer empathy, speed, and product quality matter.
Why join us:
Build a major new product line with meaningful ownership and influence from day one.
Help shape technology that empowers independent restaurant operators and small businesses.
Join a collaborative, execution-focused team that values speed, customer empathy, and product excellence.
Competitive compensation, strong benefits, and significant opportunities for growth and impact.
What You’ll Do:
Own the full product lifecycle—from customer discovery and strategy through launch, adoption, and continuous iteration.
Spend significant time with NRS merchants and staff to deeply understand workflows, operational pain points, and unmet needs.
Define product strategy, requirements, user stories, acceptance criteria, and feature specifications that translate complex operational workflows into simple, intuitive experiences.
Partner closely with engineering and design to deliver high-quality, scalable features with speed and precision.
Drive roadmap prioritization using customer insights, market trends, product analytics, and business objectives.
Collaborate with sales, marketing, onboarding, and support teams to ensure strong product-market fit and successful product adoption.
Analyze competitive offerings and emerging industry trends to identify opportunities for differentiation and innovation.
Define and monitor key product metrics, using data to continuously improve product performance and customer outcomes.
Serve as the internal subject matter expert for your products and advocate for the voice of the customer across the organization.
What We’re Looking For:
5+ years of Product Management experience building and scaling SaaS products.
2+ years of experience leading mobile features and experiences.
Strong experience building products for SMB or consumer-oriented users, with a deep appreciation for usability and operational simplicity.
Exceptional product discovery, prioritization, and problem-solving skills.
Proven ability to simplify complex workflows into elegant, intuitive user experiences.
Strong communication and stakeholder management skills, with the ability to influence cross-functional teams and drive alignment.
Comfortable operating in a fast-paced, iterative environment with high ownership and accountability.
Ability to work hybrid from an NRS office three days per week.
Bonus
Experience in the POS space.
Familiarity with ordering, payments, inventory management, or loyalty.
More Benefits:
An exciting and challenging job with talented people around.
Referral program – get rewarded for helping us grow the team with talented people.
Health, Dental, Vision, & 401k.
PTO – including vacation, sick leave, and holidays.
Commuter Benefits Program.
Short and Long Term Disability.
Flexible working arrangements.
Tuition Reimbursement Program, and more.
A few words about us:
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
National Retail Solutions (NRS) builds technology that helps small businesses thrive. We provide point of sale systems, payments, ecommerce, loyalty, and other tools that empower independent retailers nationwide.
Location: APAC Remote; EMEA Remote
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Lauren, Senior Manager of Customer Success at
Customer.io
, and I'm looking for a Customer Success Manager to join our Mid-Market, APAC or EMEA team.
You'll own the success of a dedicated portfolio of roughly 40-60 Mid-Market customers — acting as their strategic advisor from onboarding through long-term adoption, and driving commercial outcomes across your book of business. You'll partner closely with Account Management, Technical Support, Product, Solutions, and Engineering to help customers realize real value throughout their lifecycle.
We don't need you to be a marketing expert or a deeply technical one. We need someone who's an expert at asking the right questions — someone who digs until they find the real problem, not just the reported one, and who can influence a customer to make progress and move through blockers. You'll be curious and eager to understand our app well enough to take a customer's use case and turn our features into outcomes that matter to them.
What we value
Curiosity about the business behind the customer:
You're genuinely interested in how companies operate and enjoy learning your customers' industries and goals. You ask about the
why
behind a request before recommending a solution.
Trusted advisor, not ticket-taker:
You build relationships that turn you into a strategic partner rather than someone who simply answers questions. You have well-formed opinions about customer experience and aren't shy about sharing them.
Ownership of commercial outcomes:
You see CS as a value and growth engine. You take ownership of outcomes across your book and naturally look for opportunities to create more value, partnering with AM on retention and expansion.
Comfort in ambiguity:
You thrive on complex, open-ended customer challenges — bringing together business context, technical understanding, and creativity to solve them. You're calm under pressure, highly organized, and able to juggle competing priorities across a full portfolio.
AI-forward thinking:
You're comfortable using AI tools to improve your own productivity and your customers' outcomes, and you bring a growth mindset toward experimenting with new AI-powered ways of working.
What you'll do
Manage a dedicated portfolio of ~40-60 Mid-Market customers as their strategic partner across the full customer lifecycle
Lead onboarding — running kickoffs and milestone check-ins, and guiding customers to their first measurable outcomes
Build a deep understanding of each customer's goals and translate them into measurable, mutual success plans
Provide proactive, consultative guidance through regular strategic touchpoints and value-driven conversations
Monitor customer health, spot adoption trends, and address risks before they impact success
Partner with Account Management to support retention and expansion, and coordinate with Technical Support, Product, Solutions, and Engineering when deeper expertise is needed
Own escalations end to end — from identification through resolution — keeping customers informed and confident throughout
Advocate for your customers internally by sharing product feedback and influencing improvements to the customer experience
Drive AI adoption across your portfolio — coaching customers on AI-powered solutions and modeling what AI-native Customer Success looks like
Contribute to the broader CS organization by sharing best practices, improving playbooks, and participating in webinars and enablement initiatives
What we're looking for
2+ years as a Customer Success Manager for technical products, in a SaaS environment
Experience communicating with software developers in a technical capacity
Opinionated about customer experience — you should have well-formed views in order to give customers strategic advice
Fluency in French, Russian, and/or Spanish (we are prioritizing multilingual candidates for this role)
Located in Australia, New Zealand, United Kingdom or Ireland
Bonus: experience designing lifecycle messages
Compensation & Benefits
We believe in transparency. The salary for this role is
$80,000 USD
(or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute video call with Recruiter
45-minute video call with Hiring Manager
45-minute Homework Review Call + feedback with potential team members
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.
Location: Cyprus; Thailand
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
Tasks:
Conduct proactive outreach to potential and existing VIP clients through calls, written communication, and internal CRM tools
Promote company products and services to high-value clients
Apply effective negotiation techniques to convert leads into long-term customers
Develop and implement initiatives to increase client satisfaction and retention
Build and maintain strong, long-term relationships as a trusted advisor
Monitor client activity and identify opportunities for growth and engagement
Maintain accurate records of client interactions in the CRM system
Requirements:
English proficiency at B2 level or higher
Native or bilingual proficiency in Thai
Proven experience in the financial industry, preferably in sales, account management, or business development
High level of responsibility and professionalism when working with VIP clients
Strong communication, negotiation, and relationship-building skills
Result-oriented mindset and ability to work in a fast-paced environment
What We Offer:
On-site work model in our brand-new office in Larnaca (Cyprus) or remote work model
Competitive remuneration
Professional courses: from Coursera to Harvard
Friendly, enjoyable and positive environment
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-DK1
- Manage KYC processes for clients and counterparties, ensuring all required documentation is collected, reviewed and properly maintained. - Conduct Source of Funds (SoF) and Source of Wealth (SoW) reviews and coordinate the collection of supporting documentation.
🌸Fraud Monitoring: Use advanced fraud detection tools and technologies to monitor user activity and identify suspicious behavior in real time. 🌸Fraud Investigation: Investigate fraudulent activity by analyzing patterns, trends, anomalies, and connections between individual or groups of operations.
Location: Warsaw, Mazowieckie, Poland; Dubai; London, England, United Kingdom
Workplace: remote
Capital.com is hiring a UA Manager (PPC) to own paid acquisition performance across our Asia and Australia markets. You'll join a team of regional specialists with day-to-day accountability for campaign performance, budget efficiency, and growth against regional revenue and ROAS targets.
This is a hands-on, individual-contributor role: you will manage live campaigns directly, not oversee an agency at arm's length. Google Ads is the core of the role; paid social experience is a valuable bonus but not a requirement.
What you'll do:
Own and optimise Google Ads (Search, PMax, UAC, Display, YouTube) campaigns across Asia and Australia markets — this is the primary focus of the role.
Where capacity and skillset allow, extend into paid social (Meta, TikTok, Snapchat) to support the broader regional media mix.
Manage budget pacing and reallocation across markets and channels within your regions.
Deliver against regional KPI targets: ROAS and CPA per first-time deposit.
Run structured A/B tests on creative, bidding strategy, and audience targeting; report results with clear before/after evidence.
Monitor and account for iOS attribution limitations (ATT/SKAD), PMax's lack of placement-level visibility, and regional regulatory constraints (e.g. licensing regimes across Asia markets) when planning campaigns.
Localise campaign strategy to market nuance: language, competitive landscape, regulatory regime (e.g. ASIC in Australia; varied licensing across Asia markets), and payment/funding behaviour.
Partner with regional marketing and compliance stakeholders on creative sign-off and go-to-market timing.
Liaise directly with Google (and, where relevant, Meta/TikTok/Snapchat) account teams on platform features, budget commitments, and escalations.
Maintain a weekly reporting cadence on spend, revenue, ROAS, and CPA for your regions, flagging anomalies before they show up in monthly numbers.
What we're looking for:
3+ years of hands-on PPC management,
with fintech, trading, or regulated financial services
experience is a must have. You understand compliance-driven creative constraints, deposit-based KPIs, and CFD/trading audience behaviour — this is not transferable from a generic e-commerce or app-growth background without a steep ramp-up.
Direct, deep platform experience in Google Ads (Search, PMax, UAC) — this is the core requirement.
Paid social platform experience (Meta, TikTok, Snapchat Ads Manager) is a strong bonus, not a requirement.
Working knowledge of mobile attribution constraints (iOS ATT/SKAD, modelled vs deterministic conversion data).
Comfort operating across multiple markets and currencies simultaneously; prior exposure to APAC or ANZ paid media specifically is a strong plus.
Analytical fluency: able to read a performance dashboard and turn it into a budget or bidding decision without hand-holding.
Experience working within a regulated advertising environment (financial promotions rules, regional ad standards bodies) is a plus; willingness to learn the company's compliance doctrine is a requirement.
Fluent written and verbal English
; additional Asia-region language skills (Mandarin, Vietnamese, Bahasa) are a plus but not required.
Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus
Workplace: hybrid
We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.
As a
Data Engineer
, you will play a crucial role in our data team, contributing to developing and maintaining data pipelines and systems. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for decision-making and analytics. Your responsibilities will encompass data ingestion, transformation, and delivery, as well as maintaining and optimizing data infrastructure.
The Data Engineer is expected to contribute to developing and maintaining data infrastructure, ensuring data reliability and availability. You should be able to work independently and as part of a team, adapting to changing data needs and collaborating with data professionals to provide valuable insights to the organization. Staying current with data engineering best practices and emerging technologies is essential for success in this role.
Responsibilities:
Design, develop, and maintain data pipelines that ingest process, and deliver data from various sources, ensuring data quality and reliability.
Data Modeling: Create and maintain data models to support reporting, analytics, and business intelligence needs, optimizing data structures for performance and efficiency.
Implement ETL processes to transform raw data into meaningful insights, handling data transformation, aggregation, and enrichment.
Monitor and address data quality issues, implement data validation processes, and establish data governance practices.
Manage and optimize data storage, processing, and distribution systems, ensuring scalability and performance.
Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Document data engineering processes, pipelines, and systems to maintain clear and accessible knowledge for team members.
Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
Minimum of 3 years of experience in data engineering or a related field.
Proven experience with Redshift and Snowflake.
Experience with DBT.
Experience with Apache Airflow for workflow orchestration.
Proficiency in Python for data pipeline development and scripting.
Experience with AWS cloud services, including S3, EC2, and EMR.
Familiarity with Kafka for real-time data streaming.
Familiarity with data visualization and reporting tools (e.g. Tableau, Power BI or Looker).
Project management skills using Jira or similar tools.
Ability to collaborate effectively with cross-functional teams and understand business data needs.
Strong problem-solving skills, a proactive approach to troubleshooting data issues, and critical thinking abilities.
Adaptable and open to learning new technologies and methodologies.
What you will get in return:
•
Competitive Salary:
We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated.
•
Work-Life Harmony:
Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid
•
Generous Time Off:
Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry.
•
Employee Referral Program:
Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team.
•
Comprehensive Health & Pension Benefits:
From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks!
•
Workation Wonderland:
Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits!
•
Volunteer Days:
Make a difference! Take two additional paid days each year to support causes you care about and give back to the community.
Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organisation efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success.
As Voodoo continues to grow, we are transforming the way Finance uses data and technology. Our ambition is to move from fragmented, spreadsheet-heavy workflows to a modern, reliable, and increasingly automated Finance data platform.
ROLE
We're looking for a Finance Data Engineer to join our Corporate team. In this role, you'll own the technical transformation of Finance by building the data foundations, pipelines, and internal tools that enable Finance teams to operate more efficiently and make better decisions.
Reporting to the CFO, you will work closely with Finance stakeholders and Voodoo's central Data team, combining data engineering, business understanding, and product thinking to turn complex Finance needs into reliable and maintainable solutions.
- Define and drive the roadmap for Finance data, automation, and internal tooling
- Build and progressively scale Voodoo's Finance data platform, prioritising the use cases that create the greatest business value
- Migrate critical data transformations and workflows from spreadsheets and legacy tools to tested, documented, code-based solutions
- Create reliable data models and pipelines for Finance reporting, analysis, forecasting, and operational processes
- Establish strong standards for data quality, observability, documentation, security, and access management
- Partner closely with Accounting, FP&A, Controlling, Treasury, and other Finance stakeholders to translate their needs into scalable technical solutions
- Collaborate regularly with Voodoo's Data leadership and engineering teams to align on architecture, tooling, and best practices
- Build intuitive dashboards and internal applications that allow Finance teams to explore data and manage workflows independently
- Identify AI and automation opportunities, take them from prototype to production, and measure the value they create
- Help Finance teams adopt data and AI tools effectively through documentation, training, and day-to-day support
PROFILE
- Significant experience in data engineering, analytics engineering, or a closely related role, including ownership of production-grade data solutions
- Proven track record of building or substantially improving a modern data platform or analytics stack
- Highly proficient in SQL and comfortable building production systems in Python
- Strong software-engineering practices applied to data work: testing, version control, code review, documentation, and monitoring
- Solid understanding of core corporate Finance and accounting concepts; familiarity with French accounting principles is a strong advantage
- Ability to translate ambiguous business needs into clear, pragmatic technical solutions
- Comfortable working autonomously, prioritising competing needs, and delivering value incrementally
- Strong communication skills with both technical and non-technical stakeholders, in French and English
- Curious about the evolving data and AI ecosystem — you test new approaches on real problems and form your own point of view
- Rigorous, detail-oriented, and focused on measurable outcomes; pragmatic in technology choices, knowing when to build, adopt open-source, or buy commercial solutions
Nice to have:
- Experience building tools or data products for Finance teams
- Experience deploying AI agents or AI-enabled workflows into production
- Familiarity with the mobile gaming, consumer apps, advertising, or digital analytics ecosystem
- Experience operating data infrastructure on AWS
OUR STACK
- Cloud: AWS
- Languages: Python, SQL, Scala
- Transformation & orchestration: dbt, Airflow, Spark
- Query engines: Athena, StarRocks
- Infrastructure: Terraform, Kubernetes
- Internal applications: Streamlit
- AI-assisted development: Claude Code, MCP-based internal tooling
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Most subscription businesses lose a password. We lose GPU-seconds.
When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job.
You are the person who finds them, proves it, and puts a number on it.
You make sure:
- Every enforcement action we take is backed by evidence a stranger could follow
- We know what abuse cost us last month, on the same basis as last month
- The detection system is measured against real cases, not against its own past decisions
- When a ring changes shape, somebody notices this week — and that somebody is you
WHAT YOU WILL DO
Investigation & casework
- Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action.
- Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence.
- Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger.
- Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has.
Evidence & defensibility
- Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts.
- Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence.
- Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action.
Quantification & reporting
- Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down.
- Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them.
- Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day.
Monitoring & adaptation
- Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week.
- Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again.
- Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit.
How we work
- SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax.
- Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts).
WHO WE'RE LOOKING FOR
- 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract.
- Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role.
- Python at working level for analysis — pandas, notebooks, a bit of graph work.
- Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence.
- Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable."
- Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate.
- The judgment to escalate rather than act when the evidence is thin, and to say so in writing.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting
- Trust & safety investigators and platform-integrity analysts
- Chargeback, dispute or AML analysts who write their own queries
- Strong product or BI analysts who got handed the abuse problem and kept it
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to build models full time — that is the Antifraud data scientist, and it is open
- Want to do content moderation or NSFW classification
- Would put an account on a ban list without being able to say why in one sentence
- Treat every negative-margin account as an abuser
- Need a labelled dataset or a clean table before you can start
- Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Generative video has a problem most subscription businesses don't: every unit we sell costs us real compute. A stolen password costs a streaming service nothing. An account farm on an unlimited generation plan costs us GPU-seconds, at scale, every hour it runs.
We have found organised operators running hundreds of accounts on a single card, reselling unlimited generations, and harvesting per-account promotional grants at industrial scale. We have also found that most of our negative-margin accounts are not abuse at all — they are ordinary heavy users on an unlimited plan, which is a pricing problem wearing a fraud costume. Telling those two populations apart, at account level, before the money is gone, is this job.
You own the question of who is taking value they did not pay for, and the system that stops them.
You make sure:
- We catch abuse before the compute is burned, not in a post-mortem that reconciles the loss
- Every enforcement action has a measured precision, a measured cost of being wrong, and a way back for the customer we got wrong
- The difference between fraud and unprofitable pricing is a number we can defend, not a vibe
- When operators adapt — and they will, within days — we find out from a monitor, not from the monthly margin review
WHAT YOU WILL DO
Detection & scoring
- Own the account-abuse scoring system end to end: signals, weights, thresholds, the scoring job, the monitoring, and the recalibration when it decays.
- Build detection that fires early. A rule that catches 88% of the money on day 11 is worth far less than one that catches 60% at checkout, and you should be able to say why in dollars.
- Work the two halves that actually matter together: linkage (who is connected to whom) and economics (what are they consuming). Either one alone produces a system nobody can switch on — linkage without economics flags families sharing a card, economics without linkage flags our best customers.
- Treat cost as a gate, not a label. On an unlimited plan, being gross-margin negative is normal.
Entity resolution & ring detection
- Find rings, not just accounts: shared payment instruments, IP and ASN concentration, email-stem families, synchronised registration bursts, behavioural fingerprints, automation signatures.
- Do it without a reliable device fingerprint — we do not have one today, and part of this job is telling us what it would be worth and what it would cost.
- Know where graph methods break. Transitive closure through a shared card will happily merge thousands of unrelated people into one "ring"; we have done exactly that and thrown the result away.
Enforcement, policy & the cost of being wrong
- Design graduated, reversible actions — throttle, rate-limit, step-up verification, hold, pre-grant refusal, manual review queue, ban — and match the severity to the confidence.
- Own the false-positive budget explicitly: how many paying customers are we willing to inconvenience to save a dollar of compute, and what is the appeal path for the ones we get wrong.
- Build the pre-grant gates. The cheapest abuse to stop is the kind we decline to enable in the first place — a trial we do not grant costs nothing to claw back.
- Partner with Payments on Stripe Radar, chargebacks and dispute economics; with Support on the queue your model creates; with Legal on what our Terms actually entitle us to do.
Measurement & adversarial monitoring
- Quantify what the system is worth in money — COGS avoided, net of the revenue you destroyed and the support cost you created. Keep that number current.
- Run holdouts even on enforcement, wherever it is legal and safe to do so, because otherwise you will never know what your rules are worth.
- Monitor for adaptation, not just drift. Model decay here is caused by an adversary, and it looks different: a signal stops firing, a ring changes shape, a cohort's behaviour shifts inside a week.
- Watch your own inputs. A detection system that silently loses a feature degrades to a system that cannot reach its own threshold — and reports nothing wrong while doing it.
Making it usable
- Ship scores and reasons, never scores alone. An analyst, a support agent or an auditor must be able to read why an account was actioned.
- Produce evidence that survives outside the company. Our abuse work has already been used in an external audit and in Terms-of-Use enforcement; write for that standard.
- Work in SQL, Python and BigQuery on raw event, payment and generation data. We use AI heavily — resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
- Experience building abuse, fraud or trust-and-safety detection that actually took action on real users — payments fraud, promo abuse, multi-accounting, bonus abuse, account takeover, marketplace or gaming abuse. Anti-money-laundering and credit-risk backgrounds transfer if the modelling was yours.
- Genuine understanding of the adversarial setting: that your counterparty responds, that your training labels are generated by your own past decisions, and that offline AUC on a censored label set is close to meaningless.
- Strong SQL and Python on raw event data without help: joins across payments, usage and identity, window functions, cohort replay. Gradient boosting, and the judgment to know when a two-condition rule beats a model.
- Comfort with graph and linkage thinking — connected components, shared-attribute clustering, and an instinct for when a link is evidence and when it is coincidence.
- Precision-first evaluation instincts: precision at the operating point, cost-weighted error, and why you would take 20% recall at 90% precision over the reverse in an enforcement system.
- Unit-economics literacy: gross margin per account, what compute actually costs us, why a negative-margin customer may be entirely legitimate.
- The judgment to escalate rather than act when the evidence is thin, and to say so in writing.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Fraud / risk data scientists from fintech, payments, marketplaces, gaming or crypto
- Trust & safety and platform-integrity teams who owned detection and enforcement policy
- Growth or product data scientists who ended up owning promo-abuse because nobody else would
- Analysts from payment processors, PSPs or chargeback/dispute operations who moved into modelling
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to build content-moderation or NSFW classification — that is a different function here
- Would ship a ban list without knowing its precision
- Optimize AUC on a label set your own enforcement created, and call it validated
- Need a labelled fraud dataset to exist before you can start
- Treat every negative-margin account as an abuser
- Are uncomfortable that being right 90% of the time means being wrong about real, paying, legitimate people — and that you own what happens to them
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
THE DEAL
- Competitive salary in USD
- Equity: participation in the company's stock option program
- On-site role in Almaty, Kazakhstan
- Relocation support (flight + temporary housing)
- Flat structure, high autonomy, fast career growth
-Участвовать в формировании продуктовой стратегии data platform. -Управлять ожиданиями стейкхолдеров и превращать потребности бизнеса в понятные data products, contracts и delivery plans.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Kraken's Compliance Operations teams, including the Financial Intelligence Unit (FIU), investigations and enhanced due diligence, are the front line of how Kraken detects and responds to financial crime. The systems they run on sit within Core Services Product, alongside the engineering teams who build them. That covers alert ingestion, case management, investigator tooling and a growing set of automation and AI tools.
This role owns the product for that investigation platform. That means how an alert is created, enriched, grouped and suppressed. How it becomes a case. How an investigator reaches and documents a decision. And how every step is evidenced to a regulator or auditor. You'll start with the FIU, where the workflows are most complex and the audit bar is highest, then extend the platform across Compliance Operations.
THE OPPORTUNITY
- Own the investigation-platform roadmap end to end. Sequence it and defend it, and re-sequence it when a regulator or the RCO raises a P0.
- Define "done" before build starts. Write phased deliverables and acceptance criteria that Compliance signs off, and hold the line when scope moves.
- Get requirements in before engineering starts. Build the intake between Compliance policy, monitoring rules and case management so that changes don't reach investigators before their workflows are ready.
- Understand the process before building. Reconcile policy and SOPs against what investigators actually do and what the system actually does. Know the difference between a process fix and a technical one, and say which requests are in scope for engineering.
- Understand the pipeline well enough to challenge it: ingestion, profile and transaction resolution, suppression and grouping logic, and reconciliation between vendor output and case management. Be able to walk an auditor through it with live examples.
- Make auditability a first-class requirement: audit trail, data lineage, evidence retention, reviewer attribution, change-management controls, and validation of filtering and suppression logic.
- Ship automation and AI into regulated workflows with controls that hold up in Compliance, IT and privacy audits. That means human-in-the-loop design, explainability and ongoing monitoring.
- Run the operating rhythm: a shared forum with engineering and adjacent product managers, a regular stakeholder update, and one delivery status that everyone reads the same way.
WHAT YOU BRING
- 4+ years of product management, including 2+ years on financial-crime systems such as transaction monitoring, investigations, case management, KYC/EDD or sanctions screening.
- Working knowledge of how an AML programme is examined, including the questions regulators, internal audit and model validation ask about monitoring, filing and control systems.
- The technical fluency to go deep on data flows and system design with engineers, and to spot when a design won't meet the requirement.
- A track record of shipping internal tools or operational platforms that measurably changed how an operations team works.
- Clear, concise writing, from PRDs and phase plans to audit walkthroughs and executive updates.
- The judgement to tell a senior stakeholder a timeline isn't realistic because the requirements aren't written yet, and to keep the relationship intact.
NICE TO HAVES
- Direct FIU experience, such as alert disposition, SAR/STR filing or leading investigators.
- Crypto or digital-asset experience, such as blockchain analytics, wallet-level transaction analysis or focal vs counterparty logic.
- Experience shipping AI or ML into a regulated investigative workflow, including the control design.
- Build-vs-buy and vendor evaluation for monitoring or case-management tooling.
- Experience with programmes that span jurisdictions (UK, EU/MiCA, US).
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Anywhere in France, Belgium, Spain
Hong Kong, Hong Kong SAR; Singapore, Singapore
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридSan Francisco, California; New York, New York
ГибридГеография найма не уточнена
APAC Remote; EMEA Remote
УдалённоWarsaw, Mazowieckie, Poland; Dubai; London, England, United Kingdom
ГибридWarsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus
ГибридParis
ОфисAlmaty, Kazakhstan; Relocation support (flight + temporary housing)
ОфисAlmaty, Kazakhstan; Relocation support (flight + temporary housing)
УдалённоUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
Все вакансии в одном месте - страница 31 · Job Hunters
